AI tools for agents: chat, summarize, classify, entity extraction, embeddings, transcription. x402
AI tools for agents: chat, summarize, classify, entity extraction, embeddings, transcription. x402
Live data & utilities over x402 micropayments on Base. Your agent pays a few tenths of a cent per call from its own wallet; no accounts, no monthly plans.
Once Ai is connected, these are the calls the assistant has available:
summarize — Summarize a block of text into a short abstract, with an optional target lengthclassify — Classify a text into exactly one of the candidate labels you provideextract_entities — Extract named entities (people, orgs, locations, dates) as structured JSONembed — Turn text into a multilingual embedding vector (BGE‑M3) for semantic search / RAGchat — Ask a general‑purpose LLM a question, with an optional system prompttranscribe — Transcribe an audio file (by public URL) to texttts — Convert text into spoken audio (base64 MP3), in several languagessummarize — Summarize a block of text into a short abstract, with an optional target length.classify — Classify a text into exactly one of the candidate labels you provide.extract_entities — Extract named entities (people, orgs, locations, dates) as structured JSON.embed — Turn text into a multilingual embedding vector (BGE‑M3) for semantic search / RAG.chat — Ask a general‑purpose LLM a question, with an optional system prompt.transcribe — Transcribe an audio file (by public URL) to text.tts — Convert text into spoken audio (base64 MP3), in several languages.Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| summarize | Summarize a block of text into a short abstract, with an optional target length. |
| classify | Classify a text into exactly one of the candidate labels you provide. |
| extract_entities | Extract named entities (people, orgs, locations, dates) as structured JSON. |
| embed | Turn text into a multilingual embedding vector (BGE‑M3) for semantic search / RAG. |
| chat | Ask a general‑purpose LLM a question, with an optional system prompt. |
| transcribe | Transcribe an audio file (by public URL) to text. |
| tts | Convert text into spoken audio (base64 MP3), in several languages. |
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