The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Vector Search API listing page.
In-memory vector store with TF-IDF vectorization and cosine similarity search. Pay-per-call via x402 (USDC on Base L2) -- no API key, no signup, no rate-limit wall.
Part of the klymax402 marketplace -- 100 x402 micropayment APIs for AI agents, one wallet, USDC on Base.
Add to your MCP client config (Claude Desktop, Cursor, ElizaOS, etc.):
Any x402-aware client (@x402/fetch, x402-agent-tools, ATXP) handles the 402 -> sign -> retry cycle automatically.
| Tool | Method | Path | Price | Description |
|---|---|---|---|---|
data_vector_search | POST | /api/search | $0.012 | Store text and search by semantic similarity |
data_vector_searchUse 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.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
documents | array | no | Array of text documents to index (optional if already stored in this session) |
query | string | yes | The text query to search for |
topK | number | no | Number of top results to return (default: 3, max: 10) |
namespace | string | no | Namespace to isolate document sets (default: 'default') |
eip155:8453)100 x402 micropayment APIs for AI agents -- one wallet, USDC on Base, zero signup.
MIT