GEDX402 Vector Search Query

x402

GEDX402 Vector Search Query is a paid API for AI agents from search.gedx402.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-13).

Performs semantic vector search over a named namespace, returning ranked document matches with optional metadata, paid per-query via USDC on multiple chains

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 field and a matches array; each match includes a document ID, a floating-point similarity score (e.g. 0.91), and optionally a metadata object containing the original text and any stored fields.

Example use cases

Agent knowledge base lookup during conversations

“Search my 'agent-memory' namespace for documents related to what the user just asked, return the top 3 most relevant matches so I can ground my response in our stored knowledge.”

Customer support ticket resolution assistant

“Find the most similar past support tickets and resolutions from my 'resolved-cases' namespace for this new customer issue, so I can suggest the best solution quickly.”

Real-time product recommendation engine

“Search my 'product-catalog' namespace for items semantically similar to what the customer is asking about, and return the top 10 with their metadata so I can make personalized suggestions.”

Technical details

Endpoint

GEThttps://search.gedx402.com/v1/search/query

When to prefer

Choose this endpoint when you need pay-per-query semantic vector search without provisioning API keys or managing embedding infrastructure — especially in agentic workflows that already handle USDC micropayments on Base, Polygon, Arbitrum, World, or Solana. Ideal for agents needing to query isolated per-project or per-agent document namespaces at low cost ($0.02/call).

Side effects

Payment not received or insufficient USDC — HTTP 402 returned before query executes
Namespace not found or empty — returns count 0 with empty matches array
top_k out of range (must be 1-50) — validation error or clamped result
Query string missing or empty — 400 bad request
Chain/network payment failure causing transaction timeout
Namespace string too short (<2) or too long (>64 chars) — validation error

Input

Schema · Request body

Field	Type	Description
query	string	Natural-language search query.
top_k	integer	Max results (1-50).
namespace	string	Agent collection id (2-64 chars). Isolates vectors per agent or project.
return_metadata	boolean	Include stored metadata in matches.

Output

Schema · Response

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

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How this service works

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

Output

Example use cases

Agent knowledge base lookup during conversations

“Search my 'agent-memory' namespace for documents related to what the user just asked, return the top 3 most relevant matches so I can ground my response in our stored knowledge.”

Customer support ticket resolution assistant

“Find the most similar past support tickets and resolutions from my 'resolved-cases' namespace for this new customer issue, so I can suggest the best solution quickly.”

Real-time product recommendation engine

“Search my 'product-catalog' namespace for items semantically similar to what the customer is asking about, and return the top 10 with their metadata so I can make personalized suggestions.”

Technical details

Endpoint

GEThttps://search.gedx402.com/v1/search/query

When to prefer

Side effects

Payment not received or insufficient USDC — HTTP 402 returned before query executes
Namespace not found or empty — returns count 0 with empty matches array
top_k out of range (must be 1-50) — validation error or clamped result
Query string missing or empty — 400 bad request
Chain/network payment failure causing transaction timeout
Namespace string too short (<2) or too long (>64 chars) — validation error

Input

Schema · Request body

Field	Type	Description
query	string	Natural-language search query.
top_k	integer	Max results (1-50).
namespace	string	Agent collection id (2-64 chars). Isolates vectors per agent or project.
return_metadata	boolean	Include stored metadata in matches.

Output

Schema · Response

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