GEDX402 Vector Search (Natural Language Query)

x402

GEDX402 Vector Search (Natural Language Query) is a paid API for AI agents from ged-x402-search.jvalamis.workers.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).

Performs natural-language semantic search over a vector namespace, returning the top-K matching documents with scores and metadata.

Price / call$0.02

Seller volume →—

Success—

StatusUnknown

How this service works

x402 workers ai. pay with usdc on base, polygon, arbitrum, world, or solana. no api keys.

Output

A JSON object with a count of matches and an array of match objects, each containing a document ID, a similarity score (e.g. 0.91), and optionally the stored metadata including the original text.

Example use cases

Example prompt

“Search my 'project-alpha' namespace for the top 5 documents most relevant to 'quarterly revenue trends in SaaS companies' and include any stored metadata.”

Technical details

Endpoint

GEThttps://ged-x402-search.jvalamis.workers.dev/v1/search/query

When to prefer

Use this endpoint when you need pay-per-call semantic search without managing API keys — ideal for serverless AI agents doing RAG retrieval, knowledge base lookups, or similarity search over pre-stored documents in an isolated namespace. Prefer over managed vector DBs when you want blockchain-native micropayment access (USDC on Base, Polygon, Arbitrum, World, or Solana) and no credential management overhead.

Side effects

Missing or invalid namespace returns empty results or error
query parameter absent causes 400 bad request
top_k outside range 1-50 may be rejected or clamped
Payment failure (insufficient USDC balance or unsupported chain) returns HTTP 402
Invalid or mismatched vector dimensions (must be 768) cause rejection
Namespace not found returns empty matches array

Input

Schema · Request body

Field	Type	Description
query	string
top_k	integer
namespace	string
return_metadata	boolean

Output

Schema · Response

{
  "type": "json",
  "example": {
    "count": 1,
    "matches": [
      {
        "id": "doc-1",
        "score": 0.91,
        "metadata": {
          "text": "..."
        }
      }
    ]
  }
}

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Technical details

Endpoint

GEThttps://ged-x402-search.jvalamis.workers.dev/v1/search/query

When to prefer

Side effects

Missing or invalid namespace returns empty results or error
query parameter absent causes 400 bad request
top_k outside range 1-50 may be rejected or clamped
Payment failure (insufficient USDC balance or unsupported chain) returns HTTP 402
Invalid or mismatched vector dimensions (must be 768) cause rejection
Namespace not found returns empty matches array

Input

Schema · Request body

Field	Type	Description
query	string
top_k	integer
namespace	string
return_metadata	boolean

Output

Schema · Response

{
  "type": "json",
  "example": {
    "count": 1,
    "matches": [
      {
        "id": "doc-1",
        "score": 0.91,
        "metadata": {
          "text": "..."
        }
      }
    ]
  }
}