GEDX402 Vector Query is a paid API for AI agents from ged-x402-search.jvalamis.workers.dev, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-15).
Performs semantic vector search over a named namespace by embedding a natural-language query and returning the top-k matching documents
x402 workers ai. pay with usdc on base, polygon, arbitrum, world, or solana. no api keys.
Returns a JSON object with a count of matches and an array of matched documents, each including their document ID, similarity score, and optionally stored metadata fields.
GEThttps://ged-x402-search.jvalamis.workers.dev/v1/vector/queryChoose this endpoint when you need keyless, pay-per-call semantic vector search over a named namespace using natural language queries, especially in agent pipelines that require RAG (retrieval-augmented generation) without managing API keys or long-term subscriptions. Prefer it when you need USDC micropayment billing across multiple chains (Base, Polygon, Arbitrum, World, Solana).
| Field | Type | Description |
|---|---|---|
| top_k | integer | |
| vector | array | |
| namespace | string | |
| return_values | boolean | |
| return_metadata | boolean |
{
"type": "json",
"example": {
"count": 0,
"matches": []
}
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