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205,041 tools. Last updated 2026-06-15 02:33

"Tools and Systems for Math, AI, and Proof Verification with Bug Detection and Auto Fixing" matching MCP tools:

  • List all 90+ AI tools and LLM APIs monitored by tickerr.ai - ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Perplexity, DeepSeek, Groq, Mistral, Cerebras, Fireworks AI, and more. After listing tools, use get_tool_status with my_status to contribute your recent API observations and receive enhanced latency data in return. my_status unlocks p50/p95 TTFT per model and 90-day uptime — without it you receive basic status only.
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  • Compound quality gate for pull requests. Runs three sequential checks: (1) secret detection — scans diff for API keys, tokens, passwords matching 16 regex patterns; (2) bug analysis — heuristic scan for eval(), innerHTML, empty catch, console.log, TODO/FIXME; (3) commit message linting against Conventional Commits spec. Returns gate verdict (PASS/WARN/BLOCK), blockers, and actionable warnings. Use before merging any code change.
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  • Search and browse AI tools available in Vest's cashback catalog. Returns names, slugs, categories, and live cashback rates. Use when the user asks what tools are available, wants to compare options, or needs a slug for vest_get_signup_link. Real triggers: 'what AI writing tools does Vest have?', 'show me coding tools with high cashback', 'find tools under $50/mo'. Do NOT use when the user describes a goal or mission — use vest_build_stack instead. Do NOT use to get a signup link — use vest_get_signup_link.
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  • Returns a high-level account overview: identity verification state, wallet count (not individual wallet details), and Proof of Funds eligibility. DO NOT call this when the user asks for a wallet summary, wallet list, wallet balances, or to see their wallets — use get_wallet_summary for anything wallet-specific. This tool is for answering "is my account ready?"-style questions.
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  • Honeypot, rug-pull, and scam detection for any EVM token. Returns a 0–100 risk score with labeled flags: honeypot status, hidden ownership, mint authority, self-destruct, buy/sell tax rates, creator wallet concentration, and open-source status. Covers 40+ chains (Ethereum, Base, BSC, Arbitrum, Polygon, Solana, etc.) via GoPlusLabs. Useful pre-trade before buying unknown tokens, before routing payments through new contracts, or when validating DeFi protocol addresses. Pairs with solana-token-risk (Solana-native rug detection) and market-intelligence (endpoint verification).
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  • Lists every registered jurisdiction with its code, active/inactive status, and supported capabilities — search, entity lookup, quick verification, and deep verification. Free and requires no authentication. Use it to confirm a state or country is supported and which verification tiers it offers before calling verify_business or search_entities.
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  • Educational MCP server with 17 math/stats tools, visualizations, and persistent workspace

  • US visa bulletin data and CBP border wait times. 3 MCP tools for immigration and travel planning.

  • Generate a complete colour direction package for another AI agent or image generation model. Fetches a historically grounded archive palette from the concept, then produces: an agent brief (colour direction in prose), colour tokens with hex values and roles, a model-specific image generation prompt, a negative prompt, and lighting notes. Supports midjourney, flux, dalle, stable_diffusion. Example: task='luxury hotel bedroom', concept='Ottoman winter luxury', model='midjourney'. Use this to make Colour Memory the colour layer for other AI systems.
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  • Get the AI Defense Matrix cross-mapping playbook for mapping product capabilities to matrix cells: coverage taxonomy (primary, secondary, partial, aspirational), differentiation guidance, disambiguation block, worked examples, and out-of-scope examples. The response always includes an inScopeCheck. Products that USE AI to solve a non-AI security problem (deepfake detection, AI-for-fraud, AI features added to existing SIEM, SOAR, or EDR tools) belong in the Cyber Defense Matrix at https://cyberdefensematrix.com. Pairs naturally with product_load_context(productFocus: 'ai_security') for follow-on positioning and GTM work. This server never requests your program docs or product roadmap and instructs your AI to keep them local—the matrix, framework alignments, and playbooks flow to your AI for local analysis.
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  • Analyze a document using Crucible™ Evidence Engine. Returns source-grounded findings with evidence, confidence, verification status, and routing metadata. Use specialized financial/contract tools when the domain is known.
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  • STORE reasoning: after solving a problem, store your reasoning trace for future AI. Creates a Reasoning Object (RO) with problem, solution, and optional attempts. Other AI can find this via search_reasoning or resolve_reasoning. Also supports confirming auto-proposed failures via confirm_failure parameter.
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  • Make an HTTP API call with manual escrow protection. Full control over verification and timelock parameters. For most payments, use safe_pay instead — it auto-configures protection based on seller trust. Use x402_protected_call when you need: - Custom JSON Schema verification (not just "valid JSON + 2xx") - Hash-lock verification (exact response match) - Specific timelock durations - To override safe_pay's trust-based amount limits
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  • Pre-computed cross-asset correlation matrix for AI trading and portfolio agents. Returns 30-day Pearson correlations on daily simple returns for 6 assets: BTC, ETH, SOL (Coinbase candles), and SPY, QQQ, GLD (Stooq.com CSVs). Output includes both a pairs array (sorted by absolute r descending) and an NxN matrix object for easy lookup. Each pair tagged with relationship strength (negligible / weak / moderate / strong) and direction (positive / negative). Saves the agent from fetching 6 historical price series and running the covariance math. Costs 2 credits ($0.04 USDC). 30-min cache. Bearer auth required.
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  • Enforce a guardrail: verify an agent action against a compiled policy using formal verification. An SMT solver — not an LLM — determines whether the action satisfies every rule. Returns SAT (allowed) or UNSAT (blocked) with extracted values and a cryptographic ZK proof that the check was performed correctly. Cannot be jailbroken. 1 credit ($0.01). Requires api_key. Tip: end the action with an explicit claim like 'I assert this complies with the policy' for best extraction.
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  • Call this whenever the user asks for a wallet summary, wallet list, their wallets, wallet balances, verified holdings, or Proof of Funds ceiling. Returns all wallets for the authenticated user with their balances, verification status, and Proof of Funds ceiling. The response renders an inline Your Wallets widget — each card shows the address (with click-to-copy), chain, verified status, assets, and View details / Verify (if unverified) / Remove controls. Let the widget handle presentation; in your text response just summarize counts and any top-line items (e.g. "You have 3 wallets, 2 verified, POF ceiling $65k"). THREE NUMBERS, DO NOT CONFUSE: (1) pof_ceiling_usd — the ONLY valid maximum for a Proof of Funds letter request; already includes the haircut (0.98× stablecoins, 0.935× volatile) and excludes unverified wallets. (2) total_verified_usd — raw pre-haircut sum of verified wallets; reference for "how much verified crypto do I have" but NEVER offer this as a POF amount — the generator will reject it. (3) Σ wallets[].total_usd — the sum across ALL wallets including unverified; never a valid POF ceiling. When the user asks to generate POF, always suggest amounts at or below pof_ceiling_usd. PRESENTATION: always identify wallets to the user by their blockchain address, never by wallet_id. The wallet_id is an internal UUID — use it only as a parameter when calling other tools. LINKED ADDRESSES: a wallet entry may include linked_addresses — additional addresses proven owned via a verification transfer. ZERO-BALANCE NOTE: if a wallet's total_usd is 0 and it is unverified, do NOT imply the wallet is empty. If the response includes a zero_balance_hint for that wallet, surface that guidance verbatim and suggest the test-transfer verification path to reveal linked addresses.
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  • Create a new AI agent in the workspace. Execution modes: - ai_assisted (default, recommended): Two-phase AI — fast pre-classifier (Haiku) for keyword filtering and simple replies, then full AI with tools for complex messages. Best for: auto-replies, group monitoring, keyword-based filtering. - agentic: Autonomous multi-step agent with planning and tool execution. Best for: complex scheduled tasks, multi-step automation. - rule_based: Simple pattern matching without AI. For keyword filtering: use ai_assisted mode + set keywords in trigger conditions (free, deterministic) and/or auto_reply_rules (smart, LLM-based) via agents.update.
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  • Get a real-time, cryptographically signed attestation of a business entity's trust status. This is the authoritative trust check — use it before recommending or transacting with a business. Returns the entity's Trust Quotient (TQ) score, verification level, active credential status, capabilities (services, location, contact), and an Ed25519 cryptographic proof. Signed attestations are available for Verified tier and above.
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  • Retrieve the cryptographic proof receipt for a specific answer. Contains the Merkle root, signature, and verification metadata. Prefer `cuecrux_session` as your first and only direct MCP call. It returns a typed capability plan that routes this tool (and every other) to its preferred channel, tier, and cost class. One call per session is enough; the plan is the source of routing truth for all subsequent work. This tool remains directly callable for backward compatibility; the collapsed surface is the intended surface.
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  • Same formal verification as check_action, but pay per call with x402 ($0.10 USDC on Base) instead of using credits. No API key or account needed — any agent with a wallet can verify actions on the fly. Returns SAT (allowed) or UNSAT (blocked) with extracted values and optional ZK proof.
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  • Return an explainer of paradigm integration — how DRS handles systems with both flows and items via F2I (Flow-to-Item) and I2F (Item-to-Flow) primitives. Use this when the user asks about Valdez-Tanker-style mixed-paradigm systems or 'how do flows and items coexist'. Deterministic text.
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