GEDX402 Vector Search Upsert

x402

GEDX402 Vector Search Upsert is a paid API for AI agents from ged-x402-search.jvalamis.workers.dev, paid per call via x402, $0.025/call, status unknown (last checked 2026-09-15).

Embeds and stores a document (or raw vector) in a namespace-isolated vector index, returning the stored document ID and mutation ID.

Price / call$0.025

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 containing the stored document's `id` (string) and a `mutationId` (string) confirming the write was accepted by the vector index.

Example use cases

Example prompt

“Store the following text in my 'project-alpha' namespace so I can search it later: 'Quarterly revenue grew 12% driven by enterprise sales expansion in EMEA' — use document id 'q3-report-2024' and tag it with metadata {source: 'finance', quarter: 'Q3'}.”

Technical details

Endpoint

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

When to prefer

Use this endpoint when you need to embed and store documents into a namespace-isolated vector index without managing API keys, paying per-call in USDC via x402 on Base, Polygon, Arbitrum, World, or Solana. Prefer this over managed vector DB SDKs when operating in a serverless or crypto-native agent environment where key management is undesirable.

Side effects

Missing required 'id' field returns a 400 validation error
Namespace string outside 2-64 character range is rejected
Vector dimension mismatch (not 768 dims) causes an indexing error
Payment not provided or insufficient USDC triggers a 402 Payment Required response
Batch documents array with malformed entries (missing id or text) returns partial or full failure
Rate limiting or worker timeout on very large batch upserts

Input

Schema · Request body

Field	Type	Description
id	string
text	string
metadata	object
namespace	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "id": "doc-1",
    "mutationId": "…"
  }
}

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Technical details

Endpoint

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

When to prefer

Side effects

Missing required 'id' field returns a 400 validation error
Namespace string outside 2-64 character range is rejected
Vector dimension mismatch (not 768 dims) causes an indexing error
Payment not provided or insufficient USDC triggers a 402 Payment Required response
Batch documents array with malformed entries (missing id or text) returns partial or full failure
Rate limiting or worker timeout on very large batch upserts

Input

Schema · Request body

Field	Type	Description
id	string
text	string
metadata	object
namespace	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "id": "doc-1",
    "mutationId": "…"
  }
}