{
  "markdown": "# Vector Search API\n\n[![MCP Server](https://img.shields.io/badge/MCP-server-blue)](https://vector-search.api.klymax402.com/mcp)\n[![x402](https://img.shields.io/badge/payments-x402-6E56CF)](https://x402.org)\n[![License: MIT](https://img.shields.io/badge/license-MIT-green)](LICENSE)\n\nIn-memory vector store with TF-IDF vectorization and cosine similarity search. Pay-per-call via [x402](https://x402.org) (USDC on Base L2) -- no API key, no signup, no rate-limit wall.\n\nPart of the [klymax402](https://klymax402.com) marketplace -- 100 x402 micropayment APIs for AI agents, one wallet, USDC on Base.\n\n## Quickstart -- MCP\n\nAdd to your MCP client config (Claude Desktop, Cursor, ElizaOS, etc.):\n\n```json\n{\n  \"mcpServers\": {\n    \"vector-search\": {\n      \"url\": \"https://vector-search.api.klymax402.com/mcp\"\n    }\n  }\n}\n```\n\n## Quickstart -- HTTP (x402)\n\n```bash\ncurl -X POST \"https://vector-search.api.klymax402.com/api/search\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"query\":\"...\"}'\n# -> 402 Payment Required, with an x402 payment challenge in the response body\n```\n\nAny x402-aware client ([`@x402/fetch`](https://www.npmjs.com/package/@x402/fetch), [`x402-agent-tools`](https://www.npmjs.com/package/x402-agent-tools), ATXP) handles the 402 -> sign -> retry cycle automatically.\n\n## Tools\n\n| Tool | Method | Path | Price | Description |\n|---|---|---|---|---|\n| `data_vector_search` | POST | `/api/search` | $0.012 | Store text and search by semantic similarity |\n\n### `data_vector_search`\n\nUse this when you need to store text documents and search them by semantic similarity. Accepts documents to store and a query to search. Uses TF-IDF vectorization with cosine similarity to find the most relevant matches. Returns top-k results with similarity scores. Do NOT use for web search — use web_search_query instead. Do NOT use for keyword research — use keyword_research instead. Do NOT use for text classification — use text_classify instead.\n\n**Parameters**\n\n| Name | Type | Required | Description |\n|---|---|---|---|\n| `documents` | array | no | Array of text documents to index (optional if already stored in this session) |\n| `query` | string | yes | The text query to search for |\n| `topK` | number | no | Number of top results to return (default: 3, max: 10) |\n| `namespace` | string | no | Namespace to isolate document sets (default: 'default') |\n\n## Example agent prompts\n\n- \"Store text documents and search them by semantic similarity\"\n\n## Payment\n\n- Protocol: [x402](https://x402.org) -- HTTP-native pay-per-call, no signup, no API key\n- Network: Base L2 (`eip155:8453`)\n- Asset: USDC\n- Facilitator: Coinbase CDP (primary), PayAI (fallback)\n\n## Part of klymax402\n\n100 x402 micropayment APIs for AI agents -- one wallet, USDC on Base, zero signup.\n\n- Catalog: https://klymax402.com/llms.txt\n- Full API reference: https://klymax402.com/llms-full.txt\n- Live stats: https://klymax402.com/stats\n\n## License\n\nMIT\n",
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  "sha": "e1418e3379ee3190e831a0970a1374e6bc7dd1b2f1a4e91a93e853e74aef638b",
  "repo_slug": "br0ski777/vector-search-x402",
  "fonte": "repo",
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  "api": "https://agentalog.com/api/listings/mcp_io_github_br0ski777_vector_search_984d249f/readme"
}