Create a custom AI agent with selected tools and configuration.

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.

Simulate how much your organization would save on AI costs using ThinkNEO Smart Router. Enter your current monthly AI spend and primary model, and see estimated monthly and annual savings with a recommended model mix. No authentication required — try it now!

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")

Get usage guide for outtolunch.app — explains available tools, parameters, formats, sections, and best practices for grounding AI responses in current facts.

Create a new custom object (sObject) in Salesforce with specified sharing model, deployment status, and configuration options

Get full details of an agent: system prompt, model, skills count, tools count, grading suites count.

List all 42+ AI tools monitored by tickerr.ai — ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, Perplexity, DeepSeek, Groq, Fireworks AI, and more.

Check AI spend summary for a workspace, team, or project. Returns cost breakdown by provider, model, and time period. Requires authentication.

Create a new AI agent with a system prompt, model, and optional skills. Returns the agentId.

Get AI agent identity profile — trust score, behavioral DNA, character model, chain integrity.

Get live operational status, uptime percentage, response time, and per-model API inference latency (p50/p95 TTFT in ms) for any AI tool. Checks every 5 minutes from independent infrastructure. Latency data returns a per-model breakdown for tools with inference monitoring (Claude, ChatGPT, Gemini, Groq, Mistral, Cerebras, Cohere, Grok, OpenRouter).

Gets Walnai's AI adoption process details, including phases, integration capabilities, and support model.

Get list of S3 compatible object storage credentials for user. - Get list of S3 compatible object storage credentials for accessing it via S3 compatible tools like `aws` cli.

Validate a StackForms (.forms.yml) file using the Cycloid CLI. This tool can validate StackForms configuration and provide detailed feedback for fixing issues.

Get S3 compatible object storage credentials. - Get S3 compatible object storage credentials for accessing it via S3 compatible tools like `aws` cli.

Convert a single photo into a textured 3D GLB model. Uses Seed3D — generates accurate geometry and materials from one image. Async — returns requestId, poll with check_job_status. 350 sats per model. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='generate_3d_model'.

Returns available payment and authentication options for accessing live market data. Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: when you need to understand how to authenticate or pay before making a request that requires a key or payment. Returns upgrade ladder: sandbox (200 calls free), x402 per-request ($0.001 USDC), x402 sandbox (10 credits for $0.001), credit packs ($5 = 1000 calls), builder subscription ($99/mo = 50K/day). RETURNS: { sandbox, x402_per_request, x402_sandbox, credits, builder, agent_native_path }. No authentication required. Always returns 200.

Returns available payment and authentication options for accessing live market data. Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: when you need to understand how to authenticate or pay before making a request that requires a key or payment. Returns upgrade ladder: sandbox (200 calls free), x402 per-request ($0.001 USDC), x402 sandbox (10 credits for $0.001), credit packs ($5 = 1000 calls), builder subscription ($99/mo = 50K/day). RETURNS: { sandbox, x402_per_request, x402_sandbox, credits, builder, agent_native_path }. No authentication required. Always returns 200.

Authenticate with your saved API key. Read your key from ~/.agents-overflow-key and pass it here. Call this at the START of every session before using any other tools.

Register as an agent to get an API key for authenticated submissions. Registration is open — no approval required. Returns an API key that authenticates your proposals and tracks your contribution history. IMPORTANT: Save the returned api_key immediately. It is shown only once and cannot be retrieved again. Args: agent_name: A name identifying this agent instance (2-100 chars) model: The model ID (e.g., "claude-opus-4-6", "gpt-4o")

List all attributes (properties) of a specific Smart Data Model, including each attribute's NGSI type (Property, GeoProperty, or Relationship), data type, description, recommended units, and reference model URL. Use this after get_data_model when the user wants to understand what fields a model has, what values they accept, or how to construct a valid NGSI-LD payload. Example: get_attributes_for_model({"model_name": "WeatherObserved"})

Get detailed CV version including structured content, sections, word count, and audience profile. cv_version_id from ceevee_upload_cv or ceevee_list_versions. Use to inspect CV content before running analysis tools. Free.

⚠️ 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.

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).

Sync user-entered field values of the open Market Cap Calculator back to the session store so the model can read them via the state tool. Called by the View after any field change; hidden from the model.

Returns operationIds, HTTP methods, paths, and query parameter names from the bundled OpenAPI spec (no network). Use before t54_x402_request or per-SKU tools.

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.

List all 15 supported email clients with IDs, names, rendering engines, dark mode support, and deprecation status. Use the returned IDs to filter other tools like preview_email or capture_screenshots.

List all BART stations with abbreviation codes and locations. Use this to look up station codes needed by other tools.

Returns available evaluation tools, what they check, and their pricing. Call this first to understand what Axcess can evaluate and how much each evaluation costs. This tool is FREE. All evaluation tools require USDC payment on Base network. Returns: JSON with tool descriptions, pricing, and rubric categories.

Roll (regenerate) the personal proxy credential for a firewall. This invalidates the previous password and returns a new one with ready-to-use configuration commands. Only call this when the user explicitly needs new credentials — it will break any existing package manager configuration using the old password.

Create a Lightning invoice to pay for one AI service call. Returns JSON: { paymentId, invoice (BOLT11), amount (sats), expiresAt }. Each payment covers exactly one tool call — call this once per operation. Typical flow: list_models → create_payment → check_payment_status → call tool. The invoice expires in 10 minutes. Call list_models first to discover modelId values. modelId is optional — omit it to use the default (best) model. Some tools require extra params at payment time because pricing depends on them: generate_text requires prompt (price = f(char count)); send_sms, place_call, ai_call require phoneNumber; generate_video requires duration, mode, generate_audio; animate_image requires duration (100 sats/sec); edit_image requires resolution (1K=200, 2K=300, 4K=450 sats). If required params are missing, the response includes an error with the missing field names.

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_*.

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.

Sync user-entered field values of the open Profit Margin Calculator back to the session store so the model can read them via the state tool. Called by the View after any field change; hidden from the model.

Run a read-only SQL query in the project and return the result. Prefer this tool over `execute_sql` if possible. This tool is restricted to only `SELECT` statements. `INSERT`, `UPDATE`, and `DELETE` statements and stored procedures aren't allowed. If the query doesn't include a `SELECT` statement, an error is returned. For information on creating queries, see the [GoogleSQL documentation](https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax). Example Queries: -- Count the number of penguins in each island. SELECT island, COUNT(*) AS population FROM bigquery-public-data.ml_datasets.penguins GROUP BY island -- Evaluate a bigquery ML Model. SELECT * FROM ML.EVALUATE(MODEL `my_dataset.my_model`) -- Evaluate BigQuery ML model on custom data SELECT * FROM ML.EVALUATE(MODEL `my_dataset.my_model`, (SELECT * FROM `my_dataset.my_table`)) -- Predict using BigQuery ML model: SELECT * FROM ML.PREDICT(MODEL `my_dataset.my_model`, (SELECT * FROM `my_dataset.my_table`)) -- Forecast data using AI.FORECAST SELECT * FROM AI.FORECAST(TABLE `project.dataset.my_table`, data_col => 'num_trips', timestamp_col => 'date', id_cols => ['usertype'], horizon => 30) Queries executed using the `execute_sql_readonly` tool will have the job label `goog-mcp-server: true` automatically set. Queries are charged to the project specified in the `project_id` field.

Unlocks access to other MCP tools. All tools remain locked with a 'Session Not Initialized' error until this function is called. Returns essential rules for blockchain data interactions.

WHEN: checking server status, loaded D365 version, or custom model path. Triggers: 'status', 'statut', 'is the server ready', 'how many chunks', 'index loaded'. Returns JSON with: status, indexed chunk count, loaded version, custom model path.

Sync user-entered field values of the open Profit Margin Calculator back to the session store so the model can read them via the state tool. Called by the View after any field change; hidden from the model.

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.

Modify an existing proposal part. For individual accountability/domain changes, use the children tools.

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.

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.

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.

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

List available 1Stay hotel booking tools. Filter by keyword: search, book, cancel, details. Omit keyword to list all tools.

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.

Compare AI model inference pricing across all major providers: input/output cost per 1M tokens, context window, capability tier, and best-value recommendations. Use this tool when: - An AI agent needs to select the most cost-effective model for a given task - A cost-optimisation agent is comparing providers to reduce inference spend - You need to know the latest pricing after a provider update (prices change frequently) - An agent is building a routing layer and needs price/capability data to make routing decisions Returns per model: provider, model_name, input_cost_per_1m_tokens, output_cost_per_1m_tokens, context_window_tokens, capability_tier, multimodal, best_for. Example: getModelPrices({ providers: "openai,anthropic" }) → GPT-4o $5/$15 per 1M, Claude Sonnet $3/$15, Haiku $0.25/$1.25. Cost: $0.005 USDC per call.

List AI engines (models) tracked by Peec. Use this tool to resolve model names (e.g., "ChatGPT", "Perplexity", "Gemini") to IDs before filtering reports (model_id filter/dimension), and to label model IDs from report output with their human-readable names before presenting results. Match user-supplied names against the name column; the id column is the canonical string to pass back as model_id. is_active indicates whether the model is enabled for this project — inactive models will return empty data in reports. Returns columnar JSON: {columns, rows, rowCount}. Columns: id, name, is_active.

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.