Generate a Cursor/IDE-ready prompt to fix AI readiness issues found in a report. Returns a comprehensive, actionable developer prompt. Pricing: Free with Pro subscription, or $0.002 USDC via x402 (anonymous or free-tier).

List products from the connected store, paginated. Use this tool when an agent needs to DISCOVER products by browsing the catalog rather than VERIFYING a known SKU. The response includes the SKU for every product, so a follow-up ``check_stock(sku)`` or ``get_product_details(sku)`` is a natural next step. Args: limit: Number of products to return (1-50, default 10). cursor: Opaque cursor from a previous response's ``next_cursor``. Omit for the first page. Returns: Dictionary with: - products: list of {sku, title, description (≤400 chars), product_type, tags, price, currency, available, image_url, storefront_url} - next_cursor: str or null — pass to the next call to paginate - has_more: bool — whether more products exist - live / source: provenance flags

Search the Nova Scotia Open Data catalog (data.novascotia.ca) for datasets by keyword, category, or tag. Returns dataset names, IDs, descriptions, column names, and direct portal links. Use list_categories first to see valid category and tag names. Use the returned dataset ID with query_dataset or get_dataset_metadata for further exploration.

Check your pipeline check credit balance. Shows credits remaining, total purchased, total used, and lifetime free lookups count. Credits are consumed only when unknown domains run through the full analysis pipeline. Known domains (Tranco Top 100K) and cached domains (previously analysed by any Unphurl customer) are always free. If credits_remaining is 0, you can still check known and cached domains for free. To check unknown domains, purchase more credits using the "purchase" tool.

Discover AXIS install metadata, pricing, and shareable manifests for commerce-capable agents. Free, no auth, and no mutation beyond read access. Example: call before wiring AXIS into Claude Desktop, Cursor, or VS Code. Use this when you need onboarding and ecosystem setup details. Use search_and_discover_tools instead for keyword routing or discover_agentic_purchasing_needs for purchasing-task triage.

List all generated reports with status and summary info. Returns an array of report objects with id, report_type, status, title, and summary. Use the report id with atlas_get_report for details or atlas_download_report to download completed PDFs. Free.

List all CV versions for the authenticated user. Returns an array of version objects with id, filename, created_at, and main_version flag. Use the version id as cv_version_id in ceevee_analyze_positioning, ceevee_full_review, ceevee_confirm_lens, and ceevee_chat. Free.

Connect memories to build knowledge graphs. After using 'store', immediately connect related memories using these relationship types: ## Knowledge Evolution - **supersedes**: This replaces → outdated understanding - **updates**: This modifies → existing knowledge - **evolution_of**: This develops from → earlier concept ## Evidence & Support - **supports**: This provides evidence for → claim/hypothesis - **contradicts**: This challenges → existing belief - **disputes**: This disagrees with → another perspective ## Hierarchy & Structure - **parent_of**: This encompasses → more specific concept - **child_of**: This is a subset of → broader concept - **sibling_of**: This parallels → related concept at same level ## Cause & Prerequisites - **causes**: This leads to → effect/outcome - **influenced_by**: This was shaped by → contributing factor - **prerequisite_for**: Understanding this is required for → next concept ## Implementation & Examples - **implements**: This applies → theoretical concept - **documents**: This describes → system/process - **example_of**: This demonstrates → general principle - **tests**: This validates → implementation or hypothesis ## Conversation & Reference - **responds_to**: This answers → previous question or statement - **references**: This cites → source material - **inspired_by**: This was motivated by → earlier work ## Sequence & Flow - **follows**: This comes after → previous step - **precedes**: This comes before → next step ## Dependencies & Composition - **depends_on**: This requires → prerequisite - **composed_of**: This contains → component parts - **part_of**: This belongs to → larger whole ## Quick Connection Workflow After each memory, ask yourself: 1. What previous memory does this update or contradict? → `supersedes` or `contradicts` 2. What evidence does this provide? → `supports` or `disputes` 3. What caused this or what will it cause? → `influenced_by` or `causes` 4. What concrete example is this? → `example_of` or `implements` 5. What sequence is this part of? → `follows` or `precedes` ## Example Memory: "Found that batch processing fails at exactly 100 items" Connections: - `contradicts` → "hypothesis about memory limits" - `supports` → "theory about hardcoded thresholds" - `influenced_by` → "user report of timeout errors" - `sibling_of` → "previous pagination bug at 50 items" The richer the graph, the smarter the recall. No orphan memories! Args: from_memory: Source memory UUID to_memory: Target memory UUID relationship_type: Type from the categories above strength: Connection strength (0.0-1.0, default 0.5) ctx: MCP context (automatically provided) Returns: Dict with success status, relationship_id, and connected memory IDs

Report an issue with a data source. Use this to flag problems you encounter during research — missing data, broken URLs, indexing errors, or data quality issues. Reports are reviewed by the platform maintainer. Requires authentication (free — does not count against your usage quota). Args: source: Source identifier, e.g. "FR/Judilibre", "AT/RIS". issue_type: Type of issue — one of: "unavailable", "indexing", "invalid_url", "data_quality", "other". description: Free-text description of the problem.

Machine-readable Terms of Service. FREE. Call before any paid tool, then confirm_terms.

List all positioning sessions (market analysis through lens selection to targeted edits). Returns an array of session objects with id, status, cv_version_id, and created_at. Use the session id with ceevee_get_positioning_session for full details including analysis results, edits, and PDFs. Free.

FREE rehab biomechanics sample — shows the structure and metric categories of a clinical summary without numeric values. Demonstrates data quality and coverage. Upgrade to get_rehab_summary ($0.50) for full numeric data. Try case_path='PhysicalRehab/40-50/Male/LabrumTear'.

Register your agent to start contributing. Call this ONCE on first use. After registering, save the returned api_key to ~/.agents-overflow-key then call authenticate(api_key=...) to start your session. agent_name: A creative, fun display name for your agent. BE CREATIVE — combine your platform/model with something fun and unique! Good examples: 'Gemini-Galaxy', 'Claude-Catalyst', 'Cursor-Commander', 'Jetson-Jedi', 'Antigrav-Ace', 'Copilot-Comet', 'Nova-Navigator' BAD (too generic): 'DevBot', 'CodeHelper', 'Assistant', 'Antigravity', 'Claude' DO NOT just use your platform name or a generic word. Be playful! platform: Your platform — one of: antigravity, claude_code, cursor, windsurf, copilot, other

List stored Carbone templates with filtering, search, and pagination. Filter by Template ID, Version ID, category, or upload origin. Use includeVersions to see the full version history of each template. Supports cursor-based pagination for large collections. Note: filtering by tags is not supported by the Carbone API — use list_tags to discover tags, then filter results manually.

Search the Nova Scotia Open Data catalog (data.novascotia.ca) for datasets by keyword, category, or tag. Returns dataset names, IDs, descriptions, column names, and direct portal links. Use list_categories first to see valid category and tag names. Use the returned dataset ID with query_dataset or get_dataset_metadata for further exploration.

Query a specific entity (person, concept, place, etc.) from the graph. Use this to answer "Who is X?" or "What is Y?" questions by looking up the Center of Gravity directly, not searching through notes. Args: name: Entity name to look up (e.g. "Lokesh", "SUMA", "Hyderabad") include_relationships: If True, also return edges connected to this entity Returns: Entity details + relationships if found, or {"found": false} if not.

Retrieve the full result of a completed async task. Call careerproof_task_status first to confirm status='completed'. The resource_id varies by result_type: 'analysis' needs analysis_id (from atlas_start_gem_analysis), 'batch_gem' needs job_id (from atlas_start_batch_gem), 'report' needs report_id (from atlas_start_report), 'custom_eval_inference' needs model_id, 'custom_eval_batch' needs batch_id, 'dialogue_assessment' needs session_id. 'jd_fit_batch' requires context_id instead of resource_id. Free.

Search for publicly available exploits and proof-of-concept code for a specific CVE by querying GitHub Advisory Database and ExploitDB. Use this after cve_lookup to assess whether a vulnerability has weaponized exploits in the wild, which indicates higher real-world risk. Returns JSON with fields: cve_id, exploits (array of objects with source, title, url, and published_date), and total_count. An empty exploits array means no public exploits were found. Read-only lookup, no authentication required.

Delete a custom evaluation model. This removes the model and all associated artifacts and rubrics. model_id from atlas_create_custom_eval_model or atlas_list_custom_eval_models. Free.

FREE — Discover which Apollo tools match your task. Returns recommended tools by category with example calls. No payment required.

Check progress of a batch GEM job. Returns status (pending/running/completed/failed) and progress percentage. When status='completed', fetch results with atlas_get_batch_gem_results(job_id). job_id comes from atlas_start_batch_gem response. Free.

Use this endpoint to list credentials. It supports cursor-based pagination but doesn't have filtering capabilities - for this, please use the credentials-search tool.

List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.

List all candidates in a hiring context. Returns an array of candidate objects, each with an 'id' field. Use candidate id as candidate_id in atlas_start_gem_analysis, atlas_fit_match, atlas_fit_rank, atlas_generate_interview, and batch tools. Requires context_id from atlas_create_context or atlas_list_contexts. Free.

Lists the free capabilities available without an API key and explains how to get started. Call this on first connection to see what you can do immediately. Returns 5 free capability slugs (email-validate, dns-lookup, json-repair, url-to-markdown, iban-validate) with descriptions, example inputs, and instructions for accessing the full registry of 271 paid capabilities. No API key required.

Check the status of an async video generation job. Call after generate_fashion_video with the returned job_id. Returns status and video URL when complete. Free (no credits).

Get historical XBRL financial data for a company. Accepts friendly concept names (e.g., "revenue", "net_income", "assets") or raw XBRL tags. Automatically handles historical tag changes and deduplicates data.

List all custom evaluation models for the authenticated user. Returns an array of model objects with id, name, description, and status. Use model id in artifact, rubric, and evaluation tools. Free.

Check progress of a JD-FIT batch job. Returns status and progress percentage. When complete, fetch results with atlas_get_jd_fit_results(context_id). batch_id comes from atlas_start_jd_fit_batch response. Free.

Estimate the credit cost of an analysis before running it. Returns credit cost, whether you have sufficient credits, and whether a free public alternative exists. Always call this before discovery_analyze for private runs. Args: file_size_mb: Size of the dataset in megabytes. num_columns: Number of columns in the dataset. analysis_depth: Search depth (1=fast, higher=deeper). Default 1. visibility: "public" (free, results published) or "private" (costs credits). use_llms: Slower and more expensive, but you get smarter pre-processing, summary page, literature context and pattern novelty assessment. Only applies to private runs — public runs always use LLMs. Default false. api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.

List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.

Get a person's identity depth and what data is queryable about them. Call this first when you have a candidate_id and need to know which tools (free, paid, consent-gated) are available for this person. Returns engagement level (L1 Explorer through L4 Deployed), data quality tier, trait count, and a map of available tool tiers with pricing. Free L0.

List all job descriptions for a hiring context. Returns an array of JD objects with id, title, and content. Use JD content as jd_text in atlas_fit_match, atlas_fit_rank, and atlas_start_jd_fit_batch. Requires context_id from atlas_create_context or atlas_list_contexts. Free.

Free capability and connection check for AurelianFlo, including direct and Smithery-hosted access modes and which tools require x402 payment.

Register for an API key to access expert skill files. Free tier includes 10 skill retrievals per day. No payment required.

Get the machine-readable catalog of all error codes this API can return (e.g. TIMEOUT, CONTENT_FILTERED, RATE_LIMITED, L402_REFUND_ISSUED, L402_AUTO_ROUTED). Agents should branch on error_code rather than parsing free-text messages. No payment required.

FREE motion capture sample — first 5 seconds (600 frames at 120 Hz) of BVH skeletal animation. Enough to validate format, joint hierarchy, and data quality for sim_to_real_retargeting or action_recognition. Full files are 30-120 seconds ($10 USDC via get_bvh).

Prepare a free transaction to mint an on-chain Alpha Agent Identity NFT. This registers your agent label (e.g. "myagent" → myagent.alpha.agent.agi.eth) on Ethereum and unlocks 60% payout on jobs. Free to mint — just pay gas. Check if already registered with check_agent_identity.

Create multiple nodes at once (up to 500 per call). Uses Neo4j UNWIND for high performance. Essential for knowledge graph population — create hundreds of entities from a single book chapter or article. Each node needs: entity_id (unique string) and data (properties dict). Example: entity_type: "concept" nodes: [ {"entity_id": "quantum-mechanics-001", "data": {"name": "Quantum Mechanics", "field": "Physics"}}, {"entity_id": "wave-function-001", "data": {"name": "Wave Function", "field": "Physics"}}, {"entity_id": "superposition-001", "data": {"name": "Superposition", "field": "Physics"}} ]

Browse hierarchical catalog of motion-capture, threat-intel, and rehab-biomechanics datasets. No path → root categories. Category path → children. Lesson path → file inventory, pricing, and MCP tool names. Free, no payment required.

Get real-time cryptocurrency prices (BTC, ETH, SOL) from CoinGecko. Free — no API key needed.

Get global shipping lane data: 10 major routes, chokepoints, and transit times. Free — no API key needed.

Fetch new transcript events from an open Voice Bridge call since the last cursor. Returns partial + final transcripts + system events. Agent should poll in a loop (~500ms-1s). No additional payment.

Re-run a previous patent search to get fresh results. Free within 6 months of the original search. Use when the user wants to refresh results or check if new infringers have appeared.

Generate a free API key. Add credits later via buy_credits tool. Set AIPAYGEN_API_KEY env var to use it.

Check progress of a custom evaluation batch. Returns status and progress. When status='completed', fetch results with atlas_get_custom_eval_batch_results(batch_id). batch_id from atlas_start_custom_eval_batch response. Free.

Get all results from a completed batch GEM job. Returns an array of per-candidate analysis results with scores and competency breakdowns. Check atlas_get_batch_gem_status(job_id) first to confirm status='completed'. job_id from atlas_start_batch_gem response. Free.

Show how Big Ideas, Competencies, and Content progress across grade levels for a BC subject. Useful for understanding scaffolding, prerequisites, and learning trajectories. When a query is provided, filters to only matching items at each grade — showing a focused vertical thread rather than a full data dump. Args: - subject (string): Subject slug - grade_from (integer): Starting grade (0=K, 1-12) - grade_to (integer): Ending grade (0=K, 1-12) - focus (string, optional): Which element to trace ('big_ideas', 'competencies', 'content', 'all'). Default 'all'. - query (string, optional): Focus on a specific concept (e.g., 'evidence', 'multiplication'). Only matching items shown at each grade. Returns: Grade-by-grade breakdown of curriculum elements showing progression, optionally filtered to a concept thread.

Verify that an executed action achieved its declared intent. Closes the loop: intent -> command -> action -> outcome -> verification. Free (included with bind).

Remove image background using AI (U2-Net). Returns RGBA PNG/WebP with transparent background. Perfect for product photos, portraits, and design assets. FREE. (FREE)

Get current UTC time, Unix timestamp, date, and week number. Free, no payment needed.