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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}

Tools

Functions exposed to the LLM to take actions

NameDescription
generate_gemini_completionA

Generates text completions and structured reasoning across all 45 Google Gemini foundation models (Gemini 4 Argon, 3.1 Pro, 3.8 Flash) with zero Google account or API key required. Use when running single-turn reasoning, coding, or analytical prompts on a specific Gemini model; for delegating multi-step complex tasks that require remote tool execution, use execute_antigravity_agent instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('model' defaults to 'gemini-4-argon'), supports '?demo=true' or L402 (50 sats), and returns HTTP 400 if invalid.

execute_antigravity_agentA

Dispatches a complex engineering or operational task to Google's Antigravity autonomous agent for multi-step planning, tool orchestration, and verified execution. Use when solving multi-stage software engineering or workflow tasks that require autonomous planning; for compiling exhaustive multi-source literature and market research dossiers, use conduct_deep_research_investigation instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('execution_mode' defaults to 'autonomous_verified'), supports '?demo=true' or L402 (150 sats), and returns HTTP 400 if invalid.

conduct_deep_research_investigationA

Runs an iterative, multi-hop investigative research session via Gemini Deep Research Pro, cross-examining primary sources to produce a cited technical report. Use when investigating complex scientific, architectural, or market questions requiring deep multi-hop synthesis; for running a fast single-turn Google Search grounded fact lookup, use search_gemini_grounded_web instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('depth_tier' defaults to 'quick_synthesis'), supports '?demo=true' or L402 (300 sats), and returns HTTP 400 if invalid.

operate_computer_use_agentA

Plans and executes OS-level desktop, browser DOM, and GUI coordinate actions (click, type, scroll, wait) using the Gemini Computer Use agent. Use when automating interactive web UIs or desktop workflows that lack a direct REST API; for running code-first API and terminal automation tasks, use execute_antigravity_agent instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('viewport_preset' defaults to 'desktop_1080p'), supports '?demo=true' or L402 (200 sats), and returns HTTP 400 if invalid.

search_gemini_grounded_webA

Answers factual queries with live Google Search grounding, returning verified up-to-date answers accompanied by source URLs and grounding metadata. Use when verifying live web facts, documentation updates, or current events in a single low-latency call; for querying geographic places, coordinates, directions, and local business data via Google Maps grounding, use search_gemini_grounded_maps instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('recency_bias' defaults to 'past_24h'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.

search_gemini_grounded_mapsA

Executes geospatial and point-of-interest queries grounded in live Google Maps data, returning verified addresses, coordinates, operating hours, and spatial context. Use when resolving physical locations, venues, transit distances, or regional infrastructure data; for searching general web articles, documentation, and news, use search_gemini_grounded_web instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('distance_units' defaults to 'metric_km'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.

compile_mpp_research_dossierA

Compiles a structured JSON research dossier ('key_findings', 'synthesis_quality_score', 'sources_cited') settled via Base EVM Machine Payments Protocol (MPP). Use when generating a strict-JSON cited intelligence brief paid via Base USDC MPP session headers; for running long-form narrative research reports via L402 Lightning, use conduct_deep_research_investigation instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'research_topic' ('output_density' defaults to 'concise_5_points'), supports '?demo=true' or MPP (300 sats), and returns HTTP 400 if invalid.

generate_gemini_embeddingsA

Generates normalized 3,072-dimensional or 768-dimensional semantic vector embeddings via Google Gemini Embedding 2 for RAG indexing and cosine-similarity search. Use when embedding text passages or queries via L402 Lightning with configurable Matryoshka dimensions; for running live Google Search grounded factual queries, use search_gemini_grounded_web instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('model' defaults to 'gemini-embedding-2'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

analyze_omni_multimodal_inputA

Analyzes combined multimodal prompts spanning text, image descriptors, audio transcripts, and video temporal events using Gemini Omni Flash. Use when correlating information across multiple media modalities in a single reasoning pass; for running pure text-only reasoning or coding prompts, use generate_gemini_completion instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('modality_focus' defaults to 'cross_modal_synthesis'), supports '?demo=true' or L402 (100 sats), and returns HTTP 400 if invalid.

plan_robotics_spatial_trajectoryA

Computes 3D spatial affordances, obstacle-avoidance waypoints, and manipulator grasp sequences using Gemini Robotics ER 2 embodied reasoning. Use when planning physical robot arm kinematics, mobile navigation waypoints, or spatial scene task orders; for interacting with 2D desktop or browser GUI screens, use operate_computer_use_agent instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('coordinate_frame' defaults to 'cartesian_xyz_meters'), supports '?demo=true' or L402 (150 sats), and returns HTTP 400 if invalid.

generate_nano_banana_imageA

Generates photorealistic illustrations, UI mockups, and technical diagrams from text prompts using the Nano Banana Pro (Gemini 2.5 Flash Image) model family. Use when creating static visual assets, icons, or architecture diagrams from text descriptions; for synthesizing animated multi-second video clips with motion, use generate_veo_cinematic_video instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('aspect_ratio' defaults to '1:1'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.

generate_veo_cinematic_videoA

Synthesizes high-definition cinematic video sequences with temporally coherent camera motion and physics using Google Veo 3. Use when generating moving video clips, product B-roll, or animated scene renders from text prompts; for rendering static single-frame images or diagrams at lower cost, use generate_nano_banana_image instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('motion_style' defaults to 'static_tripod'), supports '?demo=true' or L402 (650 sats), and returns HTTP 400 if invalid.

compose_lyria_music_trackA

Composes studio-grade instrumental music tracks, ambient loops, and multi-instrument arrangements from genre, tempo, and mood prompts using Google Lyria 3. Use when generating musical scores, soundtrack stems, or rhythmic audio loops; for converting written text into spoken human voice narration (TTS), use synthesize_gemini_speech_audio instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('genre_preset' defaults to 'cinematic_synth'), supports '?demo=true' or L402 (150 sats), and returns HTTP 400 if invalid.

synthesize_gemini_speech_audioA

Converts written text into natural, prosody-controlled spoken voice audio using Gemini 3.8 Flash Neural Text-to-Speech. Use when rendering voiceover narration or spoken agent replies from a deterministic text script; for conducting bidirectional conversational audio dialog comprehension, use process_live_audio_dialogue instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('voice_persona' defaults to 'neutral_broadcast'), supports '?demo=true' or L402 (50 sats), and returns HTTP 400 if invalid.

process_live_audio_dialogueA

Processes real-time conversational dialog turns with native acoustic emotion, interruption handling, and paralinguistic cue comprehension via Gemini 3.8 Live. Use when handling interactive voice-agent dialog turns that require tone and turn-taking awareness; for performing one-way text-to-speech readout of a static text string, use synthesize_gemini_speech_audio instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('response_tone' defaults to 'direct_peer'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.

verify_agent_command_safetyA

Evaluates untrusted agent prompts, bash commands, and tool arguments to block prompt injection, destructive shell commands, and private-key exfiltration. Use when screening a general shell command or user prompt before autonomous agent execution; for statically validating SQL database queries at the AST level, use validate_sql_query_ast instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'payload' ('action_type' defaults to 'bash_command'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

validate_sql_query_astA

Performs static AST syntax tree parsing on SQL statements to verify strictly read-only SELECT clauses and reject mutations, stacked queries, or comment bypasses. Use when verifying that an agent-authored SQL statement is strictly read-only before running it on a database; for screening non-SQL bash commands or general agent prompts, use verify_agent_command_safety instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'sql_statement' ('dialect' defaults to 'postgres'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

execute_python_sandboxA

Audits Python source code for forbidden syscalls (os, subprocess, socket, open, eval) inside an AST-governed WebAssembly sandbox with no host filesystem access. Use when executing LLM-generated Python snippets safely; for checking shell commands without executing code, use verify_agent_command_safety instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'python_script' ('timeout_profile' defaults to 'fast_1s'), supports '?demo=true' or MPP (250 sats), and returns HTTP 400 if invalid.

audit_mcp_server_manifestA

Scans an external MCP server's initial tools/list manifest to detect tool-name shadowing (read_file, bash) and hidden prompt-injection directives in descriptions. Use when vetting a newly discovered third-party MCP server before mounting it into an agent session; for comparing a previously pinned MCP baseline against a live mid-session tools/list response, use detect_mcp_schema_rugpull instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'manifest_json' ('audit_profile' defaults to 'strict'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

detect_mcp_schema_rugpullA

Computes structural diffs between a pinned baseline MCP tools/list snapshot and a live server response to catch mid-session description or schema tampering. Use when verifying that a connected MCP server has not mutated its tool definitions mid-session; for performing a first-time static security audit on a single MCP manifest, use audit_mcp_server_manifest instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'baseline_tools_json' ('current_tools_json' defaults to 'standard'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

validate_mcp_sampling_requestA

Audits inbound MCP sampling/createMessage callbacks from connected servers to block cross-server context snooping (includeContext='allServers') and token quota hijacking. Use when filtering a connected MCP server's request to sample the host LLM; for scrubbing text returned from a standard synchronous tools/call response, use sanitize_tool_output_stream instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'sampling_request_json' ('max_tokens_ceiling' defaults to '512'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

sanitize_tool_output_streamA

Sanitizes untrusted external tool or web-scrape outputs by stripping invisible Unicode Tag characters (U+E0000), neutralizing Markdown tracking image beacons, and defusing indirect prompt overrides. Use when cleaning raw third-party tool outputs or scraped web text before inserting it into the LLM context window; for redacting personal identifiable information (emails, SSNs, keys) from outbound text, use redact_sensitive_pii instead. Read-only edge call (32 KB, 60 RPM): accepts 'raw_tool_output' (with enum defaults), uses '?demo=true' or L402 (15 sats); HTTP 400 if invalid.

redact_sensitive_piiA

Redacts emails, phone numbers, SSNs, credit cards, API keys, and crypto private keys from text before logging or external transmission. Use when stripping personal data or secret credentials from prompts, logs, or outbound messages; for neutralizing indirect prompt injections and invisible Unicode in inbound tool responses, use sanitize_tool_output_stream instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('redaction_style' defaults to 'typed_token'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

detect_agent_action_loopA

Analyzes an agent's recent tool-call trace to detect identical retry spins, A/B state oscillation, and runaway token burn. Use when monitoring autonomous agent execution loops to decide whether to continue or trip a token-burn breaker; for inspecting a single command payload for security threats before execution, use verify_agent_command_safety instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'action_trace_json' ('sensitivity' defaults to 'strict_2_repeats'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

verify_a2a_agent_cardA

Verifies a remote agent's A2A /.well-known/agent.json discovery card, checking JWS/DID signature binding, endpoint HTTPS enforcement, and capability spoofing. Use when authenticating a peer autonomous agent before delegating subtasks or exchanging payments over A2A; for auditing an MCP tool server's tools/list manifest rather than a peer agent's A2A card, use audit_mcp_server_manifest instead. Read-only edge call (32 KB, 60 RPM): accepts 'agent_card_json' ('trust_policy' defaults to 'require_https_and_did'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

audit_outbound_egress_urlA

Static validation firewall for outbound network destination URIs against cloud metadata IP addresses (169.254.169.254), RFC 1918 private IP blocks, and query-string secret exfiltration before agent dispatch. Use when validating a user-supplied or tool-supplied URI destination before network dispatch; for auditing local shell commands or general prompts, use verify_agent_command_safety instead. Read-only edge call (32 KB, 60 RPM): accepts 'destination_uri' ('egress_policy' defaults to 'block_private_and_metadata'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

audit_response_factualityA

Cross-references factual claims, numbers, and citations in a draft agent response against retrieved source passages to flag unsupported hallucinations before delivery. Use when verifying that a generated answer is 100% grounded in source evidence before returning it to the user; for scrubbing inbound tool outputs for prompt-injection and invisible Unicode, use sanitize_tool_output_stream instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'claim' ('context' defaults to 'standard'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

audit_smart_contract_codeA

Statically audits Solidity, Vyper, or Move smart contract source code for honeypot transfer taxes, hidden mint backdoors, proxy upgrade traps, and reentrancy. Use when auditing smart contract source code or bytecode before deploying or interacting with a protocol; for scanning Solana Anchor/Rust programs specifically for Cross-Program Invocation (CPI) signer/account vulnerabilities, use scan_solana_cpi_reentrancy instead. Read-only edge call (32 KB, 60 RPM): accepts 'code_or_address' ('chain' defaults to 'evm_solidity'), uses '?demo=true' or L402 (45 sats); HTTP 400 if invalid.

scan_solana_cpi_reentrancyA

Scans Solana Anchor and native Rust program instructions for unverified Cross-Program Invocation (CPI) program IDs, missing signer checks, and PDA bump seed canonicalization bugs. Use when auditing Solana Rust/Anchor source code or instruction account structs for CPI privilege escalation; for checking live SPL token mint/freeze authorities and rug-pull risk by mint address, use evaluate_solana_token_risk instead. Read-only edge call (32 KB, 60 RPM): accepts 'rust_source_or_idl' ('framework' defaults to 'anchor'), uses '?demo=true' or L402 (30 sats); HTTP 400 if invalid.

evaluate_solana_token_riskA

Evaluates a Solana SPL token's rug-pull probability by checking active mint authority, freeze authority, mutable metadata, and top-holder concentration. Use when making a pre-trade security decision on whether a Solana SPL token is safe to buy; for retrieving SPL token symbol, decimals, and DEX liquidity pool metadata via x402, use inspect_solana_token_liquidity instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'token_address' ('risk_profile' defaults to 'strict_decentralized'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

inspect_solana_token_liquidityA

Retrieves canonical Solana SPL token metadata including name, ticker symbol, decimal precision, and current mint/freeze authority addresses. Use when resolving SPL token decimals, ticker symbols, and registry metadata for portfolio or swap formatting; for computing a composite security risk score and binary should_transact verdict, use evaluate_solana_token_risk instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'mint' ('network' defaults to 'mainnet-beta'), supports '?demo=true' or x402 (20 sats), and returns HTTP 400 if invalid.

track_solana_whale_flowsA

Tracks 24-hour net accumulation or distribution flows across top Solana whale wallets and flags coordinated insider wallet clusters for a given SPL token. Use when analyzing on-chain smart-money order flow and holder clustering on Solana; for checking static SPL contract mint/freeze authority permissions, use evaluate_solana_token_risk instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'token' ('window' defaults to '1h'), supports '?demo=true' or x402 (50 sats), and returns HTTP 400 if invalid.

estimate_solana_priority_feesA

Calculates optimal Solana compute-unit (CU) microlamport priority fees and Jito bundle tip lamports to achieve target block-inclusion probability. Use when setting SetComputeUnitPrice and Jito tips before broadcasting a Solana transaction; for querying Bitcoin L1 sat/vB mempool fee rates, use estimate_bitcoin_mempool_fees instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'priority_level' ('tx_type' defaults to 'simple_transfer'), supports '?demo=true' or x402 (10 sats), and returns HTTP 400 if invalid.

decode_eip712_permit_signatureA

Decodes EIP-712 and Uniswap Permit2 off-chain typed-data payloads to verify spender identity, detect unlimited (uint256.max) token approvals, and flag expired deadlines. Use when inspecting an off-chain eth_signTypedData_v4 or Permit2 payload before signing; for decoding raw on-chain hex transaction calldata (0x...) for eth_sendTransaction, use simulate_evm_transaction_calldata instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'typed_data_json' ('chain_id' defaults to '1'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

simulate_evm_transaction_calldataA

Decodes raw EVM hexadecimal transaction calldata (0x...) by 4-byte function selector to expose hidden ERC-20 approve/transferFrom calls, setApprovalForAll drains, and multicall bundles. Use when auditing raw hex transaction data (to, value, data) before broadcasting an on-chain EVM transaction; for inspecting off-chain EIP-712 JSON typed-data signatures, use decode_eip712_permit_signature instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'calldata_hex' ('network' defaults to 'base_mainnet'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

evaluate_dex_mev_riskA

Evaluates decentralized exchange (DEX) swap parameters against pool depth and mempool visibility to quantify MEV sandwich risk and compute optimal slippage tolerance in basis points. Use when configuring slippage tolerance and private-RPC routing before executing an on-chain DEX token swap; for comparing cross-chain bridge settlement routes across different L1 blockchains, use compare_crosschain_bridge_routes instead. Read-only edge call (32 KB, 60 RPM): accepts 'pair' ('execution_venue' defaults to 'uniswap_v3_public'), uses '?demo=true' or L402 (25 sats); HTTP 400 if invalid.

detect_address_poisoning_scamA

Compares a target recipient wallet address against recent transaction history to detect vanity prefix/suffix lookalike spoofing and zero-value dusting attacks. Use when verifying a recipient EVM or Solana wallet address before sending funds; for decoding hex smart contract calldata payloads, use simulate_evm_transaction_calldata instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'target_address' ('address_standard' defaults to 'auto_detect'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

verify_http402_payment_challengeA

Decodes inbound HTTP 402 Payment Required challenges (L402 BOLT11 + Macaroon, x402 Solana USDC, MPP Base intents) to verify cryptographic payment-hash binding and block overcharge fraud. Use when auditing a 402 challenge header before an autonomous agent pays a Lightning invoice or USDC transfer; for checking on-chain Bitcoin L1 mempool feerates, use estimate_bitcoin_mempool_fees instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'www_authenticate' ('protocol_hint' defaults to 'L402'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

estimate_bitcoin_mempool_feesA

Fetches real-time Bitcoin mainnet mempool feerate recommendations in satoshis per virtual byte (sat/vB) across fastest, half-hour, hour, and economy confirmation tiers. Use when checking current Bitcoin L1 network congestion before broadcasting an on-chain BTC transaction; for calculating exact SegWit/Taproot UTXO batch consolidation vByte weights and dust thresholds, use plan_bitcoin_utxo_consolidation instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'confirmation_target', supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

plan_bitcoin_utxo_consolidationA

Analyzes a set of Bitcoin UTXO balances in satoshis to compute exact vByte transaction weight, identify uneconomical dust inputs, and recommend whether to consolidate now or hold. Use when optimizing on-chain Bitcoin treasury UTXO sets to minimize long-term miner fee drag; for fetching current live Bitcoin mempool sat/vB feerates alone, use estimate_bitcoin_mempool_fees instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'utxos_sats_json' ('script_type' defaults to 'p2wpkh_segwit'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

calculate_spot_swap_rateA

Calculates instantaneous spot exchange rates and equivalent USD, BTC, and satoshi values across BTC, ETH, SOL, SUI, and USDC. Use when converting a token amount into USD or satoshis for invoice pricing or accounting; for quoting executable non-KYC cross-chain bridge routes with bridge fees and settlement times, use compare_crosschain_bridge_routes instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'currency' ('amount' defaults to 'standard'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

compare_crosschain_bridge_routesA

Compares non-custodial, non-KYC cross-chain swap routes (THORChain native L1 swaps, Maya Protocol, Blockstream Liquid) by basis-point fee, net output sats, and settlement time. Use when routing cross-chain treasury settlements (e.g. Solana USDC or Base ETH into native Bitcoin); for calculating mid-market spot exchange rates without bridge routing fees, use calculate_spot_swap_rate instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'from_asset' ('to_asset' defaults to 'BTC_NATIVE'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

prune_context_skeletonA

Compresses large source files, logs, or transcripts by 50\u201380% to fit an LLM context budget while preserving 100% of function/class/type signatures, imports, error frames, and query-matched lines. Use when shrinking oversized source files or logs before feeding them into an LLM prompt; for counting BPE tokens across prompt segments and calculating multi-model inference costs without altering text, use plan_context_token_budget instead. Read-only edge call (32 KB, 60 RPM): accepts 'content' (with enum defaults), uses '?demo=true' or L402 (10 sats); HTTP 400 if invalid.

plan_context_token_budgetA

Counts subword BPE tokens across prompt segments, detects high-priority instructions trapped in the 35%\u201372% Lost-in-the-Middle attention trough, and calculates USD/satoshi costs across frontier LLMs. Use when auditing prompt token budgets, reordering prompt sections for primacy/recency attention, or comparing model API costs; for actively compressing and stripping low-salience lines from a single large file, use prune_context_skeleton instead. Read-only edge call (32 KB, 60 RPM): accepts 'segments_json' (with enum defaults), uses '?demo=true' or L402 (10 sats); HTTP 400 if invalid.

rerank_hybrid_rag_chunksA

Reranks and deduplicates candidate RAG or retrieval passages against a search prompt using Okapi BM25 (k1=1.5, b=0.75), Reciprocal Rank Fusion (RRF), and Maximal Marginal Relevance (MMR) Jaccard diversity filtering. Use when selecting the top-K highest-signal, non-redundant passages from vector search or grep results; for compressing a single contiguous source file while keeping its original line order, use prune_context_skeleton instead. Read-only edge call (32 KB, 60 RPM): accepts 'search_prompt' ('documents_json' defaults to 'standard'), uses '?demo=true' or L402 (15 sats); HTTP 400 if invalid.

apply_fuzzy_code_patchA

Applies unified diffs (@@ ... @@) or SEARCH/REPLACE blocks to source code using sliding-window token similarity to resolve drifted line numbers, align indentation, and verify bracket balance. Use when healing and applying a code edit or diff that failed exact line matching due to line-number drift or whitespace differences; for inspecting function signatures, call trees, and cyclomatic complexity without modifying code, use analyze_ast_symbol_graph instead. Read-only call (32 KB, 60 RPM): accepts 'original_code' (with enum defaults), uses '?demo=true' or L402 (20 sats); HTTP 400 if invalid.

analyze_ast_symbol_graphA

Static lexer and AST parser only (zero execution or evaluation): extracts imports, exports, classes, interfaces, and functions with line numbers, intra-file call edges, McCabe cyclomatic complexity, and Halstead volume across TypeScript, Python, Rust, Go, and Move. Use when mapping internal functions, call graphs, and complexity hotspots of a source file before refactoring; for analyzing cross-file import DAGs and circular dependencies, use audit_module_dependency_cycles instead. Read-only call (32 KB, 60 RPM): accepts 'source_text' (with enum defaults), uses '?demo=true' or L402 (20 sats); HTTP 400 if invalid.

audit_module_dependency_cyclesA

Runs Tarjan's Strongly Connected Components (SCC) algorithm on a module import map to detect circular dependencies, compute parallel topological build waves, and trace downstream change blast radius. Use when auditing multi-file import graphs for circular cycles or determining which downstream files must be re-tested after an edit; for extracting function-level symbols and cyclomatic complexity inside a single source file, use analyze_ast_symbol_graph instead. Read-only call (32 KB, 60 RPM): accepts 'modules_json' (with enum defaults), uses '?demo=true' or L402 (20 sats); HTTP 400 if invalid.

isolate_stacktrace_root_causeA

Parses noisy CI/terminal logs and multi-language stack traces (Node/TS, Python, Rust, Go), strips node_modules/stdlib frames to isolate the innermost failing user-code frame, and clusters repetitive logs into Drain templates. Use when triage-debugging test failures, crash dumps, or repetitive server error logs; for compressing general source code files or prose transcripts, use prune_context_skeleton instead. Read-only edge call (32 KB, 60 RPM): accepts 'raw_log' ('runtime_hint' defaults to 'auto_detect'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

compile_polyglot_type_schemasA

Inspects a sample JSON payload (inferring UUID, ISO-8601 datetime, email, integer vs float, and array item types) and compiles strict TypeScript interfaces, Zod schemas, Python Pydantic v2 models, and JSON Schema Draft 2020-12. Use when generating static type definitions and runtime validators in TypeScript and Python from a sample JSON response; for extracting existing function/class symbols and complexity metrics from source code, use analyze_ast_symbol_graph instead. Read-only call (32 KB, 60 RPM): accepts 'sample_json' (with enum defaults), uses '?demo=true' or L402 (20 sats); HTTP 400 if invalid.

evaluate_deterministic_mathA

Strict Shunting-Yard AST arithmetic parser with zero eval() or dynamic code execution: evaluates algebraic formulas and computes exact financial NPV, Newton-Raphson IRR, Kelly criterion, and dataset stats. Use when computing exact arithmetic formulas, cashflow NPV/IRR, or descriptive statistics without LLM floating-point guesswork; for running two-sample A/B hypothesis tests, use evaluate_ab_statistical_significance instead. Read-only edge call (32 KB, 60 RPM): accepts 'math_formula' ('precision_digits' defaults to '2_decimals'), uses '?demo=true' or L402 (10 sats); HTTP 400 if invalid.

schedule_critical_path_tasksA

Solves a task dependency DAG via the Critical Path Method (CPM) to compute ES/EF/LS/LF, Total Float/Slack, optimal makespan, and the Critical Path. Use when scheduling dependent engineering milestones or workflow steps to find the minimum project duration and zero-slack bottleneck path; for detecting circular code imports and file blast radius without task durations, use audit_module_dependency_cycles instead. Read-only edge call (32 KB, 60 RPM): accepts 'tasks_json' ('time_unit' defaults to 'minutes'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

evaluate_ab_statistical_significanceA

Computes Welch's two-sample t-test or two-proportion z-test, returning two-tailed p-values, Cohen's d effect size, relative lift %, and Bayesian P(Treatment > Control). Use when determining whether a prompt change, model benchmark, or A/B experiment produced a statistically significant improvement; for evaluating single algebraic formulas or NPV/IRR cashflows, use evaluate_deterministic_math instead. Read-only edge call (32 KB, 60 RPM): accepts 'control_json' ('treatment_json' defaults to 'standard'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

detect_openapi_breaking_changesA

Compares baseline and candidate OpenAPI 3.1 specs, JSON Schemas, or MCP tool manifests to detect breaking changes (removed fields, new required inputs, narrowed enums, type mutations). Use when auditing API, JSON Schema, or MCP contract revisions for backward compatibility before deployment; for compiling new TypeScript, Zod, and Pydantic schemas from a single sample JSON payload, use compile_polyglot_type_schemas instead. Read-only edge call (32 KB, 60 RPM): accepts 'baseline_schema_json' (with enum defaults), uses '?demo=true' or L402 (25 sats); HTTP 400 if invalid.

generate_boundary_test_vectorsA

Synthesizes deterministic unit-test vectors from a JSON Schema or function signature covering valid equivalence partitions, numeric/length boundaries, and adversarial Unicode/null inputs. Use when generating exhaustive edge-case unit test payloads and fuzz vectors for an API endpoint or function; for healing and applying unified diffs or search/replace edits to source code, use apply_fuzzy_code_patch instead. Read-only edge call (32 KB, 60 RPM): accepts 'schema_or_signature_json' (with enum defaults), uses '?demo=true' or L402 (20 sats); HTTP 400 if invalid.

simulate_monte_carlo_riskA

Runs a reproducible seeded Mulberry32 Monte Carlo simulation over uncertain cost, latency, or duration variables to compute P10/P50/P90/P95 percentiles, Value-at-Risk (VaR), and CVaR. Use when modeling stochastic uncertainty, tail risk (VaR/CVaR), and probability of meeting a budget or SLA target; for evaluating deterministic single-point algebraic formulas or exact NPV/IRR cashflows, use evaluate_deterministic_math instead. Read-only edge call (32 KB, 60 RPM): accepts 'variables_json' (with enum defaults), uses '?demo=true' or L402 (20 sats); HTTP 400 if invalid.

diff_agent_memory_checkpointA

Computes structural diffs between two agent state snapshots ('added_keys', 'mutated_keys', 'removed_keys'), flags boolean belief contradictions, generates an RFC 7396 JSON Merge Patch delta, and computes a canonical checkpoint hash. Use when checkpointing agent state or transmitting minimal RFC 7396 state deltas across multi-agent handoffs; for counting BPE tokens and auditing Lost-in-the-Middle prompt attention, use plan_context_token_budget instead. Read-only call (32 KB, 60 RPM): accepts 'previous_state_json' (with enum defaults), uses '?demo=true' or L402 (10 sats); HTTP 400 if invalid.

heal_malformed_jsonA

Deterministic JSON syntax repair: normalizes quotes, unclosed brackets, and boolean literals into compliant RFC 8259 JSON structure without data deletion. Use when fixing syntax-broken JSON strings that fail JSON.parse(); for coercing field types and verifying properties on already-parseable JSON objects against a target JSON Schema, use enforce_json_schema_types instead. Read-only edge call (32 KB, 60 RPM): accepts 'malformed_json' (with enum defaults), uses '?demo=true' or L402 (15 sats); HTTP 400 if invalid.

enforce_json_schema_typesA

Validates a raw LLM output object against a target JSON Schema, automatically coercing mismatched scalar types (e.g. string '42' to integer 42), injecting schema defaults, and pruning undeclared hallucinated fields. Use when enforcing schema compliance and type safety on structured LLM outputs before passing them to typed APIs; for healing unparseable raw JSON text with broken quotes or trailing commas, use heal_malformed_json instead. Read-only edge call (32 KB, 60 RPM): accepts 'raw_output' (with enum defaults), uses '?demo=true' or L402 (15 sats); HTTP 400 if invalid.

extract_structured_json_entitiesA

Extracts structured JSON records, named entities, dates, and financial figures from unstructured prose, emails, or HTML/Markdown dumps. Use when converting unstructured natural-language text into a structured JSON array of entities; for validating and coercing an existing JSON payload against a formal JSON Schema, use enforce_json_schema_types instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('extraction_target' defaults to 'general_entities_and_metrics'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

clean_tabular_datasetA

Deduplicates repetitive lines or records, normalizes Unicode whitespace, strips HTML/control noise, and canonicalizes tabular text or JSON arrays. Use when cleaning noisy scraped lists, CSV rows, or duplicate log lines before indexing or analysis; for extracting typed JSON fields from free-form prose paragraphs, use extract_structured_json_entities instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'data' ('normalization_mode' defaults to 'exact_match'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

synthesize_safe_regexA

Synthesizes linear-time O(n) regular expressions free of catastrophic backtracking (ReDoS) and validates them against positive and negative test strings. Use when generating and verifying a regular expression pattern for input validation or lexical parsing; for repairing broken JSON syntax directly without writing custom regexes, use heal_malformed_json instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'description' ('flavor' defaults to 'ecmascript_js'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

compile_xml_agent_promptA

Compiles a raw task description into a structured XML system prompt (, , , , , <output_format>) engineered to prevent instruction drift. Use when authoring or upgrading a system prompt for an autonomous agent or sub-agent workflow; for mapping a task objective to a concrete sequence of MCP tool calls, use route_mcp_workflow_plan instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'task' ('prompt_style' defaults to 'anthropic_xml_tags'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

synthesize_python_automation_codeA

Synthesizes PEP 8 compliant, self-contained Python 3 scripts, data parsers, and CLI utilities complete with type hints, docstrings, and inline assertion tests. Use when generating a standalone Python automation script or parser from a functional specification; for summarizing existing documentation or codebases into executive bullet points, use summarize_technical_document instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('dependency_policy' defaults to 'stdlib_only'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.

summarize_technical_documentA

Condenses long technical specifications, RFCs, research papers, or meeting transcripts into high-density executive bullet points preserving exact figures and decisions. Use when producing a human-readable executive summary of a single provided document; for researching a topic across the live web with Google Search citations, use synthesize_web_intelligence_brief instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('summary_format' defaults to 'executive_bullets'), supports '?demo=true' or L402 (50 sats), and returns HTTP 400 if invalid.

synthesize_web_intelligence_briefA

Synthesizes a real-time market or technical intelligence brief grounded in live Google Search, returning strict JSON ('executive_summary', 'key_developments', 'sentiment', 'sources'). Use when fetching a structured JSON market/news brief with live web citations and sentiment classification; for summarizing caller-supplied text offline without live web search, use summarize_technical_document instead. Read-only edge call (32 KB, 60 RPM): accepts 'topic' ('focus' defaults to 'technical_and_market_catalysts'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.

verify_context_compaction_fidelityA

Audits a compacted conversation summary against the original full context to detect dropped user constraints, lost file paths, altered numbers, or missing pending tasks. Use when verifying that an LLM context-compaction summary retained all task-critical facts before truncating history; for generating a new executive summary from a raw technical document, use summarize_technical_document instead. Read-only edge call (32 KB, 60 RPM): accepts 'original_context' ('compacted_summary' defaults to 'standard'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

route_mcp_workflow_planA

Maps a natural-language agent goal to an ordered sequence of Diogenes MCP tool calls with exact endpoint paths, JSON-RPC 2.0 payloads, and cumulative satoshi cost estimates. Use when an autonomous agent needs to plan which MCP tools to chain together to solve a multi-step objective within a satoshi budget; for compiling a static XML system prompt rather than an executable MCP tool call sequence, use compile_xml_agent_prompt instead. Read-only edge call (32 KB, 60 RPM): accepts 'objective' ('budget_preference' defaults to 'lowest_sats_deterministic'), uses '?demo=true' or L402 (20 sats); HTTP 400 if invalid.

arbitrate_agent_deliverable_escrowA

Evaluates a worker agent's submitted task deliverable against agreed contract acceptance criteria to issue a deterministic escrow settlement verdict ('RELEASE_FUNDS_TO_WORKER_AGENT', 'REQUEST_REVISION', or 'REFUND_CLIENT'). Use when settling multi-agent bounties or verifying subcontractor deliverables before releasing MPP/L402 escrow funds; for checking syntactic JSON Schema property types without evaluating semantic contract terms, use enforce_json_schema_types instead. Read-only call (32 KB, 60 RPM): accepts 'deliverable' (with enum defaults), uses '?demo=true' or MPP (30 sats); HTTP 400 if invalid.

infer_mpp_streaming_sessionA

Initializes a Base USDC Machine Payments Protocol (MPP) metered inference session, allocating a streaming token quota and returning a step-by-step execution plan. Use when running session-metered agent planning settled via Base EVM MPP 'Payment-Challenge' headers; for mapping a task goal to L402 MCP tool calls without opening an MPP streaming session, use route_mcp_workflow_plan instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'task' ('token_quota_tier' defaults to 'compact_1024'), supports '?demo=true' or MPP (100 sats), and returns HTTP 400 if invalid.

generate_x402_vector_embeddingsA

Generates normalized high-dimensional semantic vector embeddings settled via Solana SPL USDC ('x402' protocol headers) for decentralized RAG pipelines. Use when computing text embeddings paid via Solana USDC x402 signatures rather than Bitcoin Lightning; for extracting discrete JSON entities from unstructured text, use extract_structured_json_entities instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('encoding_format' defaults to 'float_array'), supports '?demo=true' or x402 (10 sats), and returns HTTP 400 if invalid.

extract_clean_markdownA

Converts raw HTML pages into clean, boilerplate-free, LLM-optimized Markdown with preserved hyperlinks and headings. Use when ingesting raw web documents or blog posts into agent context windows; for isolating tabular data into structured datasets, use parse_html_tables instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('conversion_mode' defaults to 'clean_semantic_article'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

scrape_readable_articleA

Extracts primary article body, author bylines, publication timestamps, and estimated reading duration from web pages. Use when stripping navigation bars, advertisement containers, and cookie banners to isolate core editorial content; for converting full HTML to markdown, use extract_clean_markdown instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('readability_profile' defaults to 'article_body_strict'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

extract_structured_metadataA

Extracts OpenGraph tags, Twitter Card metadata, canonical URLs, and Schema.org JSON-LD microdata scripts from HTML. Use when indexing social share cards, author identity, breadcrumbs, and rich snippet schemas for AI search agents; for scanning page hyperlinks and outbound references, use extract_page_hyperlinks instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('metadata_targets' defaults to 'all_protocols'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

parse_html_tablesA

Detects and parses HTML table elements into structured JSON record arrays and GitHub-Flavored Markdown tabular grids. Use when converting financial statements, product comparison grids, or sports statistics into structured data tables; for extracting raw clean markdown prose, use extract_clean_markdown instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('output_format' defaults to 'markdown_and_json'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

isolate_css_selectorsA

Evaluates CSS selector queries against HTML DOM trees to extract targeted inner text, outer HTML, or element attributes. Use when targeting specific elements like pricing badges, product titles, review cards, or navigation breadcrumbs; for parsing unstructured contact information, use extract_contact_info instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' and 'selector_query' ('extraction_mode' defaults to 'inner_text'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

detect_paywall_and_bypassA

Audits web page DOM hierarchies to detect soft paywalls, blur overlays, modal gates, and recovers concealed body text. Use when diagnosing paywall obstructions, diagnosing subscriber gating scripts, or auditing content access barriers; for assessing general SEO hygiene, use evaluate_seo_diagnostics instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('detection_profile' defaults to 'heuristic_dom_overlay'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

crawl_sitemap_urlsA

Parses XML sitemaps and sitemap index files into structured URL trees with change frequency and last-modified filters. Use when discovering domain architectures, mapping crawl frontiers, or indexing blog/product catalogues; for extracting on-page hyperlinks from raw HTML, use extract_page_hyperlinks instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'sitemap_xml' ('filter_criteria' defaults to 'all_entries'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

extract_page_hyperlinksA

Extracts, normalizes, and filters internal and external hyperlinks, anchor texts, and downloadable asset targets from HTML. Use when building site crawlers, auditing broken links, or extracting reference citations; for isolating primary readable article narrative text, use scrape_readable_article instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('link_scope' defaults to 'all_links'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

sanitize_html_contentA

Sanitizes raw HTML by removing malicious script tags, iframes, inline event handlers, and data URIs into safe markup. Use when preparing untrusted third-party web content for rendering in agent dashboards or email clients; for converting clean HTML into markdown, use extract_clean_markdown instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('sanitization_strictness' defaults to 'strip_scripts_and_iframes'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

extract_contact_infoA

Extracts email addresses, telephone numbers, physical addresses, and social network handles from web text and DOM footers. Use when researching sales leads, aggregating business contact directories, or extracting customer service info; for parsing structured tabular data, use parse_html_tables instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'content' ('extraction_focus' defaults to 'all_contacts'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

evaluate_seo_diagnosticsA

Audits HTML heading structures, title lengths, meta descriptions, image alt tags, and OpenGraph compliance into a health score. Use when auditing landing pages, verifying SEO compliance before publishing, or evaluating crawl friendliness; for extracting article bodies, use scrape_readable_article instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('audit_level' defaults to 'comprehensive_audit'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

compile_rss_feedA

Transforms JSON item collections or article card arrays into standardized RSS 2.0, Atom 1.0, or JSON Feed 1.1 syndication feeds. Use when syndicating blog articles, product announcements, or changelog cards to RSS readers and AI agents; for compiling structured sitemap listings, use crawl_sitemap_urls instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'items_json' and 'channel_title' ('feed_standard' defaults to 'rss_2_0'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

synthesize_neural_searchA

Executes multi-domain semantic search query expansion, relevance re-ranking, and extractive factual snippet bundling. Use when retrieving grounded web knowledge, evaluating search results across diverse domains, and retrieving cited answers; for building deep research briefings, use compile_research_dossier instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'search_query' ('search_mode' defaults to 'hybrid_semantic_keyword'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

compile_research_dossierA

Compiles multi-source factual research briefs with verified citations, confidence intervals, and key analytical takeaways. Use when synthesizing comprehensive intelligence briefings on complex technical, scientific, or market developments; for rapid query search snippets, use synthesize_neural_search instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'research_topic' ('depth_level' defaults to 'executive_brief'), supports '?demo=true' or L402 (35 sats), and returns HTTP 400 if invalid.

expand_search_queriesA

Generates targeted Boolean queries, semantic synonym variations, and sub-question expansions from an ambiguous prompt. Use when overcoming query vocabulary mismatches and expanding search recall across academic, code, or patent databases; for scoping queries to domain categories, use filter_domain_intelligence instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'base_query' ('expansion_strategy' defaults to 'boolean_operators'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

filter_domain_intelligenceA

Scopes search execution and filters results strictly across verified high-reputation domain registries and regulatory bodies. Use when restricting search discovery to verified academic papers, SEC filings, official documentation, or legal statutes; for checking specific factual claims, use verify_factual_claims instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'query' ('domain_tier' defaults to 'academic_and_research'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

analyze_news_recencyA

Tracks breaking news feeds, clusters trending story cycles, and calculates story publication velocity over recent timeframes. Use when analyzing breaking market catalysts, emerging controversies, or ongoing product announcements; for evaluating sentiment polarity across media, use analyze_media_sentiment instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'topic' ('recency_window' defaults to 'past_24_hours'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

verify_factual_claimsA

Audits factual statements against authoritative consensus sources and assigns truthfulness scores with counter-evidence. Use when checking disputed claims, detecting AI hallucinations, or validating quotes before citation; for formatting academic citations, use extract_scholarly_citations instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'claim_statement' ('verification_rigor' defaults to 'multi_source_consensus'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

extract_scholarly_citationsA

Formats academic paper metadata and DOI identifiers into standard scholarly citation formats (BibTeX, APA, IEEE, MLA). Use when generating bibliographies for research papers, validating journal references, or resolving DOI identifiers; for structuring research timelines, use summarize_temporal_timeline instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'source_content_or_doi' ('citation_style' defaults to 'bibtex_format'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

cluster_topic_subgraphsA

Discovers latent thematic clusters, subtopic branches, and conceptual relationships across document corpora. Use when structuring broad search results into distinct thematic silos or generating table of contents taxonomies; for tracking chronological milestones, use summarize_temporal_timeline instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'documents_or_queries' ('clustering_method' defaults to 'tf_idf_semantic_graph'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

analyze_media_sentimentA

Evaluates brand, market, or topic sentiment across news headlines, discussions, and articles with bull/bear polarity scores. Use when assessing market sentiment, social brand perception, or controversy exposure on specific entities; for compiling competitive market comparisons, use compile_competitive_landscape instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text_or_headlines' ('sentiment_domain' defaults to 'general_news'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

rank_expert_sourcesA

Identifies and ranks top domain authorities, leading researchers, and primary documentation repositories for technical topics. Use when finding primary source experts to cite or discovering foundational documentation for specialized fields; for ranking general search query snippets, use synthesize_neural_search instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'subject_area' ('authority_metric' defaults to 'pagerank_and_domain_authority'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

summarize_temporal_timelineA

Synthesizes chronological milestone timelines from search results, news archives, and historical documents. Use when reconstructing historical events, tracking company histories, or mapping regulatory progression; for tracking real-time breaking news in the past 24 hours, use analyze_news_recency instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'event_corpus' ('timeline_resolution' defaults to 'chronological_milestones'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

compile_competitive_landscapeA

Compiles multi-competitor comparison matrices, pricing tiers, feature coverage, and strategic moat evaluations. Use when analyzing market landscapes, evaluating pricing parity, or conducting diligence on competing product offerings; for compiling narrative research briefs, use compile_research_dossier instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'target_entity_or_market' ('analysis_framework' defaults to 'feature_and_pricing_matrix'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

synthesize_sql_queryA

Translates natural language questions into dialect-accurate, optimized SQL SELECT queries with schema awareness and safety checks. Use when generating reporting queries or automated data analytics pipelines; for analyzing SQL execution performance and EXPLAIN plans, use analyze_query_plan instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'natural_language_request' and 'schema_ddl' ('sql_dialect' defaults to 'postgresql_dialect'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

audit_sql_injection_astA

Statically parses SQL queries via AST lexical analysis to detect second-order injection, tautology conditions, and stacked queries. Use when auditing dynamic query parameters or untrusted user input before database execution; for sanitizing query strings for telemetry logging, use sanitize_sql_telemetry instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'raw_sql' ('audit_sensitivity' defaults to 'strict_zero_dynamic_taint'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

analyze_query_planA

Analyzes SQL EXPLAIN execution plans to detect sequential table scans, high-cost cartesian joins, and buffer memory bottlenecks. Use when diagnosing slow queries, optimizing database performance, or evaluating query cost; for getting index recommendations, use recommend_database_indexes instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'explain_plan_or_query' ('optimization_target' defaults to 'eliminate_seq_scans'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

detect_breaking_migrationsA

Compares source and target DDL schemas to identify breaking changes, destructive column drops, and lock-inducing mutations. Use when verifying CI/CD migration scripts before production deployment to prevent downtime; for verifying relational normal form, use validate_schema_normalization instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'current_schema' and 'target_schema' ('risk_tolerance' defaults to 'zero_downtime_strict'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

transpile_sql_dialectA

Transpiles SQL queries and DDL schemas across PostgreSQL, MySQL, and SQLite dialects, rewriting functions and syntax quirks. Use when migrating application queries across database backends or testing against in-memory SQLite; for generating new queries from natural language, use synthesize_sql_query instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'sql_code' and 'source_dialect' ('target_dialect' defaults to 'sqlite'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

recommend_database_indexesA

Recommends optimal single-column and composite B-Tree/BRIN indexes based on slow query WHERE, JOIN, and ORDER BY clauses. Use when optimizing database response times and eliminating full-table scans; for inspecting full execution plans, use analyze_query_plan instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'slow_queries_or_workload' ('index_type_preference' defaults to 'btree_and_composite'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

validate_schema_normalizationA

Audits database schemas for third normal form (3NF) compliance, transitive dependencies, and missing foreign key constraints. Use when reviewing database architectures, preventing update anomalies, or validating relational integrity; for detecting breaking schema migrations, use detect_breaking_migrations instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'schema_ddl' ('target_normal_form' defaults to 'third_normal_form_3nf'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

sanitize_sql_telemetryA

Masks PII, financial values, and credential literals from raw SQL query logs and slow-query dumps before telemetry storage. Use when scrubbing production database query logs before shipping to APM tools, Datadog, or external log collectors; for auditing SQL injection vulnerabilities, use audit_sql_injection_ast instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'query_logs' ('masking_policy' defaults to 'mask_pii_and_literals'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

synthesize_seed_fixturesA

Generates deterministic relational test seed fixtures respecting foreign key constraints, unique indexes, and data bounds. Use when provisioning mock database datasets for automated testing, staging environments, or sandbox demos; for compiling ORM models from schemas, use generate_orm_models instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'schema_ddl' ('fixture_volume' defaults to 'minimal_smoke_test_5'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

calculate_pool_headroomA

Calculates optimal connection pool sizing, idle timeouts, and client headroom based on server RAM and concurrency profile. Use when sizing PgBouncer, HikariCP, or Prisma connection pools to avoid server out-of-memory crashes; for checking transaction isolation hazards, use audit_transaction_isolation instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'server_ram_mb' and 'max_concurrent_clients' ('workload_profile' defaults to 'high_concurrency_oltp'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

audit_transaction_isolationA

Audits database transaction workflows for concurrency anomalies, dirty reads, non-repeatable reads, and deadlock risks. Use when reviewing financial transfer procedures, inventory decrement operations, or multi-step checkout workflows; for calculating connection pool headroom, use calculate_pool_headroom instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'transaction_steps' ('target_isolation_level' defaults to 'read_committed'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

generate_orm_modelsA

Compiles SQL DDL schemas into type-safe ORM entities and TypeScript validation schemas (Prisma, Drizzle, SQLAlchemy, Zod). Use when scaffolding application models, generating TypeScript data layers, or synchronizing schemas; for translating raw SQL across dialects, use transpile_sql_dialect instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'schema_ddl' ('orm_target' defaults to 'drizzle_orm_typescript'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

inspect_eve_assembly_stateA

Inspects live EVE Frontier Smart Assembly on-chain object metadata, owner capability ID, online power status, and attached Sui Move package digest. Use when verifying whether a Smart Turret, Smart Gate, or Smart Storage Unit is online and checking its bound Move module before interacting; for generating or auditing custom Sui Move assembly source code, use generate_eve_assembly_move instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'assembly_id' ('assembly_class' defaults to 'smart_gate'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

audit_eve_tribe_standingsA

Audits EVE Frontier Tribe diplomatic standings, friendly/hostile reputation scores, and pilot override entries across solar systems. Use when checking diplomatic relations or detecting conflicting friendly-fire rules across tribe registries; for compiling those standings into executable Sui Move Smart Gate ACL bytecode, use compile_eve_gate_acl instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'tribe_id' ('standing_filter' defaults to 'all'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

generate_eve_assembly_moveA

Generates and statically audits Sui Move smart contract modules for EVE Frontier Smart Assemblies using Witness, Capability, and HotPotato patterns. Use when authoring custom Sui Move extensions for Smart Gates, Smart Turrets, or Smart Storage Units; for simulating pre-signed Programmable Transaction Block command arrays before wallet execution, use simulate_eve_sui_ptb instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'contract_type' ('assembly_id' defaults to 'standard'), supports '?demo=true' or L402 (45 sats), and returns HTTP 400 if invalid.

compile_eve_gate_aclA

Compiles EVE Frontier Tribe access control lists, diplomatic standings, and surge-pricing toll rules into Sui Move Smart Gate AccessPolicy constraints. Use when configuring on-chain jump permissions and LUX/SUI toll schedules for a player-owned Smart Gate; for calculating optimal multi-system jump routes across existing stargates, use plan_eve_gate_route instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'gate_assembly_id' ('toll_mode' defaults to 'standing_tiered'), supports '?demo=true' or L402 (30 sats), and returns HTTP 400 if invalid.

simulate_eve_sui_ptbA

Simulates Sui Programmable Transaction Block (PTB) command sequences to detect unauthorized coin splits, object transfers, and unconsumed HotPotato receipts. Use when auditing an untrusted EVE Frontier transaction bundle before signing with a pilot wallet; for verifying pilot zkLogin JWT proofs and character ownership capabilities, use verify_eve_zklogin_character instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'ptb_commands_json' ('strictness_mode' defaults to 'strict_zero_drain'), supports '?demo=true' or L402 (35 sats), and returns HTTP 400 if invalid.

verify_eve_zklogin_characterA

Verifies EVE Frontier Sui zkLogin BN254 zero-knowledge proofs, ephemeral session signatures, and SmartCharacter ownership capabilities. Use when authenticating a pilot's off-chain OAuth/zkLogin session before granting tribe vault or dApp access; for auditing tribe-wide diplomatic standings and reputation registries, use audit_eve_tribe_standings instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'jwt_proof' ('ephemeral_scheme' defaults to 'ED25519'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

plan_eve_gate_routeA

Calculates optimal stargate jump routes between EVE Frontier solar systems minimizing gigajoule fuel consumption, LUX gate tolls, or jump count. Use when plotting a ship transit path across public and tribe-restricted Smart Gates; for identifying multi-system commodity arbitrage trade loops across Smart Storage Units, use find_eve_ssu_arbitrage instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'origin_system' ('destination_system' defaults to 'standard'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

optimize_eve_node_powerA

Calculates Lagrange Network Node hourly gigajoule (GJ) fuel burn rates, capacity headroom, and offline vulnerability windows for connected Smart Assemblies. Use when balancing steady-state power allocations on a single Lagrange Network Node; for stress-testing node capacitor depletion under active hostile fleet bombardment, use simulate_eve_capacitor_siege instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'node_id' ('operating_profile' defaults to 'balanced'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

simulate_eve_capacitor_siegeA

Simulates Lagrange Network Node gigajoule (GJ) capacitor drain under sustained hostile fleet siege and computes optimal assembly load-shedding order. Use when preparing base defense power-shedding schedules against an incoming hostile fleet; for calculating routine peacetime fuel burn and reserve headroom, use optimize_eve_node_power instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'node_id' ('siege_intensity' defaults to 'skirmish_frigate_squad'), supports '?demo=true' or L402 (30 sats), and returns HTTP 400 if invalid.

monitor_eve_constellation_fuelA

Monitors constellation-wide Lagrange Network Node fuel reserves, identifies the weakest sovereignty node, and calculates logistics convoy resupply urgency. Use when auditing multi-system sovereignty fuel health across an entire tribe constellation; for optimizing gigajoule load on a single individual Lagrange Network Node, use optimize_eve_node_power instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'constellation_id' ('alert_threshold_hours' defaults to '24h'), supports '?demo=true' or L402 (30 sats), and returns HTTP 400 if invalid.

quote_eve_ssu_marketA

Computes dynamic bonding-curve bid/ask quotes in LUX and per-transaction anti-drain caps for a player-owned Smart Storage Unit (SSU). Use when setting automated market-maker buy/sell prices for a single SSU vending inventory; for scanning multiple SSUs across star systems to find profitable trade routes, use find_eve_ssu_arbitrage instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'resource_type' ('pricing_regime' defaults to 'inventory_balanced'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

find_eve_ssu_arbitrageA

Scans Smart Storage Unit (SSU) bid/ask spreads across star systems against ship cargo capacity and stargate fuel costs to rank net-profitable arbitrage loops. Use when planning multi-system trade runs to maximize net LUX profit per gigajoule of fuel burned; for calculating internal bid/ask market-maker quotes for your own SSU, use quote_eve_ssu_market instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'origin_system' ('hull_cargo_class' defaults to 'light_courier'), supports '?demo=true' or L402 (30 sats), and returns HTTP 400 if invalid.

analyze_eve_killmail_threatsA

Analyzes on-chain EVE Frontier killmail.move events in a solar system to quantify gatecamp ambush probability and identify dominant hostile hull doctrines. Use when assessing solar system PvP danger before jumping a hauler or fleet into a system; for computing real-time weapon target-lock priorities during active grid combat, use prioritize_eve_turret_targets instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'system_id' ('time_window' defaults to '1h'), supports '?demo=true' or L402 (30 sats), and returns HTTP 400 if invalid.

prioritize_eve_turret_targetsA

Evaluates radar contacts by range, transversal velocity, and Tribe standing to output deterministic Smart Turret target-lock priorities and fire authorizations. Use when ranking active grid radar contacts for automated Smart Turret engagement; for reviewing historical solar system killmails and ambush probabilities before transit, use analyze_eve_killmail_threats instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'turret_id' ('engagement_doctrine' defaults to 'highest_threat'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.9/5.0

Scored across 121 tools

Disambiguation3/5

Descriptions are unusually explicit and often include 'use X instead' routing, which helps. However, several families overlap heavily: multiple research/dossier/brief tools, L402 vs MPP vs x402 embeddings, and overlapping SQL/web-intelligence audits. Boundaries are clear only after reading long descriptions, so an agent selecting by name will often misselect.

Naming Consistency5/5

All 121 tool names follow a consistent snake_case verb_noun pattern (generate_, audit_, verify_, synthesize_, extract_, simulate_, etc.) with no camelCase or arbitrary mixing. Names are long but predictable and use helpful domain prefixes such as eve_, sql_, mcp_, and solana_.

Tool Count1/5

121 tools is far beyond a well-scoped MCP set; even for a broad gateway it forces routing across many near-duplicate microservices. The count is an extreme mismatch for practical agent selection, despite each individual tool being narrowly bounded.

Completeness3/5

The gateway spans AI modalities, security, crypto, web parsing, research, SQL, and EVE Frontier, so breadth is high. But there are notable dead ends: no generic URL fetch before HTML parsers, no service/model discovery or account/billing lifecycle, and no stateful execution/signing for many blockchain workflows. Agents can work around some gaps by supplying inputs or using adjacent tools, but the surface is broad rather than complete.

Maintenance

ActivityMaintained
ResponsivenessResponsive