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114,306 tools. Last updated 2026-04-21 08:24
  • Get the agent observability dashboard — aggregated metrics for your AI agents. Includes total sessions, events, cost, error rate, latency, top agents, top tools, active alerts, and cost trend over time. Like Datadog, but for AI agents. Requires authentication.
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  • Find AI/ML tools and libraries by describing what you need in plain English. Searches 220K+ indexed AI repos via semantic + keyword search. Optional domain filter: mcp, agents, ai-coding, rag, llm-tools, generative-ai, diffusion, voice-ai, nlp, computer-vision, embeddings, vector-db, prompt-engineering, transformers, mlops, data-engineering, ml-frameworks Examples: find_ai_tool("database query tool for postgres", domain="mcp") find_ai_tool("autonomous coding agent") find_ai_tool("PDF document chunking for RAG pipeline")
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  • Register a new AI agent with DrinkedIn. Returns credentials needed for all other tools. Use referral_code to get 50 Vouchers signup bonus!
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  • Get usage guide for outtolunch.app — explains available tools, parameters, formats, sections, and best practices for grounding AI responses in current facts.
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  • List all 42+ AI tools monitored by tickerr.ai — ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Perplexity, DeepSeek, Groq, Fireworks AI, and more.
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  • Latin American data validation tools for AI agents. Validates Brazilian CPF, CNPJ and PIX keys, Mexican RFC, Chilean RUT, and provides public holidays for Brazil, Mexico and Chile.

  • Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data

  • Confirm an AI call after reviewing push-back questions, optionally providing answers to missing info. Required when ai_call returns state='pending_confirm'. Uses the original payment — no new payment needed. Returns call_id for polling with check_job_status(jobType='ai-call').
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  • Browse and compare Licium's agents and tools. Use this when you want to SEE what's available before executing. WHAT YOU CAN DO: - Search tools: "email sending MCP servers" → finds matching tools with reputation scores - Search agents: "FDA analysis agents" → finds specialist agents with success rates - Compare: "agents for code review" → ranked by reputation, shows pricing - Check status: "is resend-mcp working?" → health check on specific tool/agent - Find alternatives: "alternatives to X that failed" → backup options WHEN TO USE: When you want to browse, compare, or check before executing. If you just want results, use licium instead.
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  • AI Agent Starter Pack — calls compliance + market sentiment + trading signals + macro data + news in a single bundled request. Ideal for agents that need a broad market context snapshot. Use this tool when: - An agent is initialising and needs a full market brief before starting work - You want 5 tools' worth of data in one call at a fraction of the individual cost ($0.50 vs $0.025 individual) - A morning brief agent is generating a daily market overview for a user - An agent needs to orient itself before deciding which deeper tools to call Returns: compliance_status, market_sentiment (RISK_ON/OFF), trading_signal (for specified symbol), macro_overview (rates/inflation), top_5_news_stories. Example: runBundleStarter({ symbol: "XAUUSD", assets: "BTC,ETH,GOLD" }) → Full gold trading context: macro environment, sentiment, signal, news — in one call. Cost: $0.50 USDC per call (equivalent to 5 Tier 1 tools for $0.025 if called separately).
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  • ⚠️ MANDATORY FIRST STEP - Call this tool BEFORE using any other Canvs tools! Returns comprehensive instructions for creating whiteboards: tool selection strategy, iterative workflow, and examples. Following these instructions ensures correct diagrams.
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  • List the 13 AI tools BringYour can produce harness files for, with each target's read/write/paste capability and brief description. Call this first to discover what 'target' values install_harness accepts.
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  • Save a file (PDF, PPTX, DOCX, etc.) to a client's record in the broker's CRM. Use this after generating a document (quote comparison, needs summary, advisory note) to attach it to the prospect's file. The client must already exist as a lead (use save_lead first). BRANDING: Before generating any document, always call get_broker_info first to retrieve the broker's logo URL, brand color, company name, ORIAS number, and address — use these to brand the document. The file content must be base64-encoded.
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  • Modify an existing proposal part. For individual accountability/domain changes, use the children tools.
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  • AI-powered RAG chat, document analysis, and shareable summaries. Create chats, send messages, read AI responses, and generate shareable summaries. Works on both workspaces and shares. Side effects: chat-create and message-send consume AI credits (1 credit per 100 tokens). Destructive action: chat-delete permanently removes a chat. Actions & required params (all actions require profile_type + profile_id): - chat-create: type, query_text (workspace req'd, share optional) (+ optional: privacy, files_scope, folders_scope, files_attach, personality) - chat-list: (+ optional: include_deleted, limit, offset) - chat-details: chat_id - chat-update: chat_id, name - chat-delete: chat_id - chat-publish: chat_id - message-send: chat_id, query_text (+ optional: personality, files_scope, folders_scope, files_attach) - message-list: chat_id (+ optional: limit, offset) - message-details: chat_id, message_id - message-read: chat_id, message_id - share-generate: node_ids (workspace) | files (share) - transactions: (workspace only) - autotitle: (share only, + optional: context)
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  • Search USPTO patent database for AI-related filings: applicant companies, patent titles, abstract summaries, filing dates, and technology classification. Reveals who is building what in neural networks, autonomous agents, and LLMs. Use this tool when: - A research agent is building a competitive intelligence map of AI patent activity - An investor agent wants to assess a company's AI IP portfolio strength - You need to track which companies are filing the most AI patents (leading indicator of R&D) - A legal/compliance agent is conducting freedom-to-operate analysis for AI systems Returns per patent: patent_number, title, assignee_company, filing_date, abstract_summary, technology_class, citation_count, similar_patents, competitive_threat_score. Example: getAiPatents({ query: "autonomous agent planning", companies: "google,microsoft" }) → Google: 14 patents on agent planning this quarter. Cost: $5 USDC per call.
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  • Returns structured information about what the Recursive platform includes: features, AI model details, supported integrations, and what's included at every tier. Use for systematic feature comparison.
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  • Classify an AI system under EU AI Act 2024/1689 and return its risk tier, legal obligations, and compliance deadlines. Use this tool when: - An agent needs to assess whether an AI system is legally permitted in the EU - A company is building or deploying AI and needs to understand its regulatory obligations - You need to identify prohibited AI practices (real-time biometric surveillance, social scoring, etc.) - You need to know applicable CISA alerts and cybersecurity requirements for AI systems Returns: risk_tier (prohibited/high-risk/limited-risk/minimal-risk), applicable_articles, legal_obligations, compliance_deadline, CISA_alerts, and recommended_actions. Example call: checkAiCompliance({ company: "Acme Corp", system: "Facial Recognition Attendance System", description: "Real-time facial recognition used to track employee attendance in a factory" }) Cost: $0.005 USDC per call.
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  • Authenticate this MCP session with your BopMarket API key. Call this once before using cart, checkout, price watch, order, or listing tools. Read-only tools (search, get_product, batch_compare, get_categories) work without auth. Buyer keys: sk_buy_*. Seller keys: sk_sell_*.
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  • Browse and compare Licium's agents and tools. Use this when you want to SEE what's available before executing. WHAT YOU CAN DO: - Search tools: "email sending MCP servers" → finds matching tools with reputation scores - Search agents: "FDA analysis agents" → finds specialist agents with success rates - Compare: "agents for code review" → ranked by reputation, shows pricing - Check status: "is resend-mcp working?" → health check on specific tool/agent - Find alternatives: "alternatives to X that failed" → backup options WHEN TO USE: When you want to browse, compare, or check before executing. If you just want results, use licium instead.
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  • Get report status and metadata. Returns status (pending/generating/completed/failed), title, type, and summary. When status='completed', download the PDF with atlas_download_report(report_id). report_id from atlas_start_report response or atlas_list_reports. Free.
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  • Get current statistics for the ShippingRates shipping intelligence database. Use this as a starting point to understand what data is available before calling other tools. Returns record counts for D&D tariffs, local charges, transit schedules, freight rates, surcharges, ports, shipping lines, countries, and the last data refresh timestamp. FREE — no payment required. Returns: { tariff_records, ports, transit_schedules, freight_rates, local_charges, shipping_lines, countries, last_scrape (ISO datetime) } Related tools: Use shippingrates_lines for per-carrier breakdowns, shippingrates_search for keyword discovery.
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  • Get current statistics for the ShippingRates shipping intelligence database. Use this as a starting point to understand what data is available before calling other tools. Returns record counts for D&D tariffs, local charges, transit schedules, freight rates, surcharges, ports, shipping lines, countries, and the last data refresh timestamp. FREE — no payment required. Returns: { tariff_records, ports, transit_schedules, freight_rates, local_charges, shipping_lines, countries, last_scrape (ISO datetime) } Related tools: Use shippingrates_lines for per-carrier breakdowns, shippingrates_search for keyword discovery.
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  • 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.
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  • FREE triage tool — send whatever context you have (message content, sender info, URLs, attachments, draft replies, thread messages, image/video URLs) and get back a prioritized list of which security tools to run. No AI call, no charge, instant response. Always call this first to get the best security coverage.
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  • Search for airports and cities to get their identifiers for Google Flights tools. Returns: - IATA airport codes (e.g., 'JFK') for specific airports - kgmid (e.g., '/m/02_286') for cities - searches all airports in that city Use this tool when you have a city name like 'New York' or 'Paris' and need to convert it to codes that the flight tools accept. Note: Common IATA codes like JFK, LAX, SFO, LHR, CDG, NRT can be used directly without this tool.
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  • Quick AI visibility scan. Returns three scores: AEO Score (0-100, AI search engine findability), GEO Score (0-100, AI citation readiness), and Agent Readiness Score (0-100, AI agent interaction capability). Also returns AI Identity Card with mention readiness (0-100, predicts how likely AI will mention the brand), detected competitors, business profile (commerce/saas/media/general), and top 5 issues. 67+ checks across 12 categories. Free — no API key needed. Does NOT return per-check details or fix code — use audit_site for full breakdown, fix_site for generated fixes, compare_sites to benchmark against a competitor.
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  • List available 1Stay hotel booking tools. Filter by keyword: search, book, cancel, details. Omit keyword to list all tools.
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  • Generate Golden Lead packets for B2B sales agents. Cross-references SEC filings, GitHub activity, and job postings to score companies as HOT/WARM/COLD leads with AI pivot signals and recommended outreach angles. Use this tool when: - A sales agent needs to prioritise outreach to companies most likely to buy AI services - You want to detect which companies are actively transitioning to AI and need vendors - A BD agent is building a prospect list with data-backed prioritisation - You need company intelligence that goes beyond basic firmographic data Returns per company: lead_score (HOT/WARM/COLD), ai_pivot_signal, recent_sec_mentions_of_ai, github_ai_repos_added, open_ai_roles, funding_stage, recommended_outreach_angle, key_contacts. Example: getB2bIntel({ companies: ["salesforce", "oracle", "sap"] }) → Salesforce HOT (12 AI roles, $2B AI capex in 10-K), Oracle WARM, SAP COLD. Cost: $5 USDC per call.
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  • 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.
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  • List chats (individual AI responses) for a project over a date range. Each chat is produced by running one prompt against one AI engine on a given date. Filters: - brand_id: only chats that mentioned the given brand - prompt_id: only chats produced by the given prompt - model_id: only chats from the given AI engine (chatgpt-scraper, gpt-4o, gpt-4o-search, gpt-3.5-turbo, llama-sonar, perplexity-scraper, sonar, gemini-2.5-flash, gemini-scraper, google-ai-overview-scraper, google-ai-mode-scraper, llama-3.3-70b-instruct, deepseek-r1, claude-3.5-haiku, claude-haiku-4.5, claude-sonnet-4, grok-scraper, microsoft-copilot-scraper, grok-4) Use the returned chat IDs with get_chat to retrieve full message content, sources, and brand mentions. Returns columnar JSON: {columns, rows, rowCount}. Columns: id, prompt_id, model_id, date.
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  • 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.
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  • Analyse a company's GitHub organisation for AI pivot signals: new AI/ML repositories, topic tag changes, star velocity, commit frequency, and contributor growth. Returns an AI adoption score. Use this tool when: - You need to verify whether a company is genuinely building AI (vs just talking about it) - A sales agent wants to time outreach to match a company's AI development phase - A research agent is assessing a company's technical capabilities and momentum - An investor wants to quantify a company's open-source AI activity as a due diligence signal Returns: ai_pivot_score (0-100), new_ai_repos, ai_topic_repos, total_stars_gained, commit_velocity, top_contributors, breakthrough_repos (fastest-growing), inferred_ai_focus_areas. Example: getGithubVelocity({ org: "microsoft", days: 30 }) → score 94, 8 new AI repos, 42k stars this month — HEAVY AI pivot. Cost: $5 USDC per call.
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  • List all shipping lines in the ShippingRates database with per-country record counts. Use this to discover which carriers and countries have data before querying specific tools. Returns each carrier's name, slug, SCAC code, and a breakdown of available D&D tariff and local charge records per country. FREE — no payment required. Returns: Array of { line, slug, scac, countries: [{ code, name, dd_records, lc_records }] } Related tools: Use shippingrates_stats for aggregate totals, shippingrates_search for keyword-based discovery.
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  • Returns usage statistics for your ThinkNEO API key. Shows calls today, this week, this month, monthly limit, remaining calls, top tools used, estimated cost, and current tier. Works without authentication (returns general info).
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  • Send a message to CeeVee AI assistant for CV optimization guidance (2 credits). Requires a cv_version_id (use ceevee_upload_cv or ceevee_list_versions to get one). Returns AI response with optional edit suggestions, source citations, and a conversation_id. Omit conversation_id to start a new conversation; include it to continue a thread.
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  • Get current statistics for the ShippingRates shipping intelligence database. Use this as a starting point to understand what data is available before calling other tools. Returns record counts for D&D tariffs, local charges, transit schedules, freight rates, surcharges, ports, shipping lines, countries, and the last data refresh timestamp. FREE — no payment required. Returns: { tariff_records, ports, transit_schedules, freight_rates, local_charges, shipping_lines, countries, last_scrape (ISO datetime) } Related tools: Use shippingrates_lines for per-carrier breakdowns, shippingrates_search for keyword discovery.
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  • Convert HTML or Markdown to a pixel-perfect PDF. Returns JSON: { url } — a temporary download URL (valid ~1 hour). Great for generating invoices, reports, receipts, or formatted documents programmatically. Supports full HTML/CSS including tables, images (base64 or URL), and inline styles. For Markdown input, set format='markdown'. 50 sats per conversion. Use convert_file instead for converting existing files between formats (e.g., DOCX→PDF). Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='convert_html_to_pdf'.
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  • Returns Layer 3 sanity-check and validation prompts — the 'where AI gets financial modeling wrong' guidance. Use these to audit AI-generated work or catch common modeling errors.
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  • AI Economy Intelligence — aggregates ArXiv research + GitHub trending + job pivots + AI model prices + AI tokens + AI regulatory news into a comprehensive AI industry intelligence report. Use this tool when: - An AI-focused research agent needs a complete picture of the AI ecosystem in one call - A VC agent wants to assess AI industry momentum across research, hiring, and markets - You need to track AI adoption signals across multiple dimensions simultaneously - A strategy agent is building an AI market thesis and needs comprehensive inputs Returns: latest_arxiv_breakthroughs, github_trending_ai_repos, top_ai_hiring_companies, model_price_changes, ai_token_performance, regulatory_updates, ai_economy_momentum_score. Example: runBundleAiEconomy({ focus: "agentic ai autonomous" }) → 3 breakthrough papers on agents, top hiring: Anthropic/OpenAI/Google, Claude price cut 15%. Cost: $100 USDC per call.
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  • Start generating a complete multi-chapter eBook using AI. Costs $0.45 per chapter (e.g., 10 chapters = $4.50). Returns a payment link that the user must visit to pay before generation begins. After payment, use get_job_status to track progress.
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  • Get Lenny Zeltser's expert writing guidelines for security reports and assessments. Provides guidance on tone, structure, clarity, executive summaries, and avoiding common writing mistakes. Works for any security document. Your documents are never sent to this server—guidelines flow to your AI for local analysis. Note: For incident response reports specifically, use the ir_* tools which provide deeper section-by-section review criteria.
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  • Send a document to a client via WhatsApp. Use this after generating a quote comparison, advisory note, or any document the client should receive. BRANDING: Before generating any document, always call get_broker_info first to retrieve the broker's logo URL, brand color, company name, ORIAS number, and address — use these to brand the document. The file content must be base64-encoded. The document is uploaded, then sent via WhatsApp with a caption message. The document is also saved to the client's CRM record automatically.
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  • Use this tool whenever the user asks for a QR code or wants a URL/text to be scannable. Triggers: 'make a QR code for this link', 'create a scannable code', 'generate a QR for my website'. Accepts any text or URL (max 2953 chars). Returns a base64-encoded PNG image. Display the image inline after generating it.
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  • FREE triage tool — send whatever context you have (message content, sender info, URLs, attachments, draft replies, thread messages, image/video URLs) and get back a prioritized list of which security tools to run. No AI call, no charge, instant response. Always call this first to get the best security coverage.
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  • Save a file (PDF, PPTX, DOCX, etc.) to a client's record in the broker's CRM. Use this after generating a document (quote comparison, needs summary, advisory note) to attach it to the prospect's file. The client must already exist as a lead (use save_lead first). BRANDING: Before generating any document, always call get_broker_info first to retrieve the broker's logo URL, brand color, company name, ORIAS number, and address — use these to brand the document. The file content must be base64-encoded.
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  • Delete a task. For recurring tasks, use apply_to to control scope. - "this" (default): For recurring tasks, skips this occurrence (prevents re-showing as virtual). For one-off tasks, permanently deletes. - "all_future": Deletes the recurrence template. Stops generating new instances. Already-completed instances are preserved.
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  • Fetch performance data for AI/ML sector crypto tokens: NEAR, FET (Fetch.ai), AGIX (SingularityNET), RNDR (Render), WLD (Worldcoin), TAO (Bittensor), and the full AI token sector. Use this tool when: - An agent is investing in the AI token narrative and needs sector performance - You want to compare AI token performance vs BTC/ETH benchmark - A research agent is building a thesis on the AI crypto sector - An agent needs to identify which AI tokens are outperforming or underperforming Returns per token: name, ticker, price_usd, market_cap, 24h_change_pct, 7d_change_pct, 30d_change_pct, sector_rank, vs_btc_performance, narrative_tags. Example: getAiTokens({ limit: 10 }) → TAO +45% (7d), RNDR +28%, FET +18% — AI sector outperforming BTC this week. Cost: $0.005 USDC per call.
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