GEDX402 Vector Search Batch Upsert

x402

GEDX402 Vector Search Batch Upsert is a paid API for AI agents from ged-x402-search.jvalamis.workers.dev, paid per call via x402, $0.06/call, status unknown (last checked 2026-09-15).

Batch-upserts documents (text + optional metadata) into a vector store index, embedding and storing them for later semantic search retrieval.

Price / call$0.06

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 an 'upserted' field indicating how many documents were successfully embedded and stored, e.g. {"upserted": 2}.

Example use cases

Example prompt

“Batch-index these 3 documents into the 'project-alpha' namespace so I can search them later: doc1 'The transformer architecture uses self-attention', doc2 'BERT is a bidirectional encoder', doc3 'GPT uses autoregressive decoding' — include their source metadata.”

Technical details

Endpoint

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

When to prefer

Use this endpoint when you need to add or update multiple documents at once into a persistent vector store without managing API keys, paying per-call in USDC via x402. Prefer this over single-document upsert when ingesting batches of 2+ documents to reduce round-trips. Choose this over self-hosted solutions when you want a serverless, pay-as-you-go vector index on Cloudflare's global edge.

Side effects

Invalid or missing namespace (must be 2-64 chars) returns validation error
Documents missing required 'id' or 'text' fields return schema error
Payment failure or insufficient USDC balance returns 402
Vector dimension mismatch (not 768 dims) causes upsert rejection
Empty documents array returns zero upserted
Namespace conflict or quota exceeded returns server error

Input

Schema · Request body

Field	Type	Description
documents	array
namespace	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "upserted": 2
  }
}

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Technical details

Endpoint

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

When to prefer

Side effects

Invalid or missing namespace (must be 2-64 chars) returns validation error
Documents missing required 'id' or 'text' fields return schema error
Payment failure or insufficient USDC balance returns 402
Vector dimension mismatch (not 768 dims) causes upsert rejection
Empty documents array returns zero upserted
Namespace conflict or quota exceeded returns server error

Input

Schema · Request body

Field	Type	Description
documents	array
namespace	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "upserted": 2
  }
}