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632,547 tools. Updated 2026-10-03 08:29

"APIs Compatible with OpenAI for Conversational AI" matching MCP tools:

  • Ask Animica's ENA AI a question (OpenAI-compatible inference). Cheap general
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  • List all AI models available on Gonka Network with live pricing. Models work as drop-in replacements for OpenAI and Anthropic — same SDK, same API calls. Use this when user asks which model to use or wants alternatives to GPT-4o / Claude. Returns: model IDs (use directly in openai.chat.completions.create), status, USD per 1M tokens. After this: call calculate_savings() to see annual savings with these models.
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  • Given a Camelot key (e.g. "8A", "12B"), return the harmonically compatible keys for DJ mixing — the same key, the relative major/minor, and the adjacent +/-1 keys on the Camelot wheel. With `extended=true` also returns the +7/-7 energy-boost / energy-drop keys. Pure music theory — no catalog lookup and no quota cost. Pair with find_tracks_by_key to then pull actual tracks in each compatible key.
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  • Get live Gonka Network pricing — cheap alternative to OpenAI and Anthropic APIs. Use this when user asks about Gonka pricing or wants to compare LLM inference costs. Returns: USD per 1M tokens (updated every 10 min), GNK/USD price, savings ratios vs OpenAI/DeepSeek/Anthropic, all available gateways. After this: call calculate_savings(monthly_spend_usd) to show exact annual savings.
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  • Generate an AI image via kie.ai and return its public R2 URL. Use to mint reusable URLs for content blocks (image, gallery), product photos, or any field that takes an image URL — does NOT attach to a post by itself. Costs credits (see list_image_models). On poll timeout the job continues running; pass `jobId` from the response to merchant ai-media APIs to retrieve it later.
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  • Validate GPTBot and OAI-SearchBot IP addresses. Remote MCP validate_ip tool.

  • Discover, rate and compare APIs and providers in the APIs.io catalog; manage a listing you own.

  • Generate an AI image via kie.ai and return its public R2 URL. Use to mint reusable URLs for content blocks (image, gallery), product photos, or any field that takes an image URL — does NOT attach to a post by itself. Costs credits (see list_image_models). On poll timeout the job continues running; pass `jobId` from the response to merchant ai-media APIs to retrieve it later.
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  • Measure whether a brand shows up when buyers ask AI assistants for a recommendation. Asks real buyer questions to OpenAI, Anthropic and Gemini and reports what they answered, not what they claim they would answer. Free, no signup, one measurement per domain every 30 days. Returns a runId: call get_visibility_check with it after about a minute. If the domain was already measured this month the response says quota_reached and includes when it ran.
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  • Measure whether a brand shows up when buyers ask AI assistants for a recommendation. Asks real buyer questions to OpenAI, Anthropic and Gemini and reports what they answered, not what they claim they would answer. Free, no signup, one measurement per domain every 30 days. Returns a runId: call get_visibility_check with it after about a minute. If the domain was already measured this month the response says quota_reached and includes when it ran.
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  • L3 Empathy Response Strategy: converts text into a deterministic response strategy (approach, tone temperature, pacing, focus points, avoid-list) for AI companions and conversational agents. Deterministic table lookup, no LLM, ~20ms; privacy-first. Not a medical or therapeutic tool.
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  • Create a new mock REST API project. Returns {id, adminKey, baseUrl, resources[]}. SAVE the adminKey — it is required for admin operations (add_resource, custom_route, snapshots) and is shown only once. Presets seed a full backend: blog (posts/comments/authors), ecommerce (products/orders/customers/reviews), saas (users/teams/events), payments (Stripe-shaped sandbox: charges/refunds/subscriptions/customers + payment_intent create→confirm flow + /v1/balance — no keys), openai (ready OpenAI-compatible mock — chat completions incl. streaming SSE, embeddings with a real 1536-dim vector, models; point OPENAI_BASE_URL at {baseUrl}/v1). Omit preset for a starter project (one seeded "items" resource — live data immediately, reshape or delete it); use "blank" for a truly empty project you fill via add_resource or import_data. The mock API is then live at baseUrl: standard REST CRUD (GET/POST/PUT/PATCH/DELETE), CORS enabled, no auth needed. Every project also serves a mock OAuth2/OIDC provider at {baseUrl}/.well-known/openid-configuration (PKCE code flow, client_credentials, RS256 JWKS — any client_id works) for testing auth flows.
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  • Use this to find EU payments legislation on topics such as SCA, open banking and safeguarding in the held PSD2, RTS-SCA, PSD3/PSR and related instruments. OpenAI-compatible search: the top hits as {id, title, url}, where id is the cite anchor fetch accepts. For filters, snippets, scores and paging use search_legislation, which returns more.
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  • Ask a question and get an answer that an OpenAI model wrote after searching the live web. Send a Responses request — an `input` string (or message array) — and the endpoint injects a fixed, server-pinned model and the `web_search` tool for you; the model, tool and per-request search cap are server-controlled to keep cost bounded. The reply is a standard OpenAI Responses object: `output[]` contains `web_search_call` items (each a search that ran) and a `message` item with the answer text and URL citations, and the billed search count equals the number of `web_search_call` items. Billing is pay-as-you-go at exact cost: `web_search_calls × $0.01` plus the model's own token cost (fresh input = `input_tokens − cached`), with no markup. Use this when you want a written, cited answer grounded in current web content from an OpenAI model — for the Anthropic-model equivalent see [`post_anthropic_websearch_search`](/api-reference/search/post_anthropic-websearch-search), and for raw ranked links with extracted page text use [`post_tavily_search`](/api-reference/search/post_tavily-search).
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  • PRIMARY TOOL: Search for files using natural language. Prefer plain natural-language queries because the Razuna Files AI Chat planner handles semantic intent, sorting, limits, and file-type intent. Use API-compatible scoped search only when explicit folder/search_filters/collect_plus values are needed. Valid search_filters ids are folders, extensions, types, tags, keywords, date_added, and date_modified.
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  • Raw worldwide country id table — pairs with legacy APIs only. For renting, use **ucode_sms_summary** / **ucode_sms_service_detail** so users pick by country name + credits.
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  • The conversational toggle board. Pass the preset and the item ids currently ON; returns the recomputed total (never trust your own arithmetic — this is the authoritative price), every selected item with its price, and what else this tier could add. Items marked foundation anchor the package; advise keeping them. Call again after every change the visitor asks for. Next: request_offer.
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  • Count the exact number of tokens in a text string for a specific AI model. Uses tiktoken for OpenAI models and estimates for others. Args: text: The text to count tokens for model: The AI model to count tokens for. Options: gpt-4o, gpt-4o-mini, gpt-4.1, claude-sonnet, claude-haiku, gemini-pro, gemini-flash, llama-4, deepseek-v3, mistral-large. Default: gpt-4o Returns: Token count information including count, context window, and fit status
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  • BROWSE the long catalog behind the flagship set: keyword search over Agent402's 500+ pay-per-call tools (exact count 605). Start with the listed flagships for search/answer/news/render/data/transcribe/memory; use this when you need a long-tail slug. Counterpart catalog.find resolves a task to ONE ready-to-run pick - search explores, find decides. 166 pure-CPU tools run free here (proof-of-work); the rest are payable right here over MPP (credential in _meta - mppx McpClient pays automatically) or via npx agent402-mcp with a wallet. Also an OpenAI-compatible LLM gateway at https://agent402.tools/v1 (flat per-call; wallet = account). Returns { results, workflows }; run one with catalog.call.
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  • Whether this business's robots.txt allows or blocks each documented AI crawler: OpenAI, Anthropic, Google, Perplexity, Apple, Microsoft, Meta and Common Crawl, split by what each one is for (search, model training, or fetching a page because a user asked). Read from the stored evidence of the latest deep scan, with the matching robots.txt rule quoted for each. Also names vendors this checker cannot assess, so an agent does not read silence as permission.
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  • The last measured liveness of free public data APIs (weather, geo, finance, knowledge, news, public-health and developer APIs): HTTP status and latency from one read-only GET per API, with the generated_at of that measurement. status SLOW means the API timed out at 10s and answered a 45s re-probe (works, not fast); DOWN means no answer within 45s; SKIP means the API needs a key and was not called. counts.measured excludes SKIP rows, so it is the health denominator, not counts.total. It does not measure AI model provider APIs.
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  • OpenAI deep-research / company-knowledge compatibility. Search Cyclesite's active UK used-bike listings by free-text query (matches title, brand, model). Returns the canonical OpenAI shape: { results: [{ id, title, url }] }. Use the id to call fetch() for the full document.
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