OpenAI compatible embeddings

OpenAI compatible embeddings. A 1,024-dimension embedding vector for up to 4,000 characters of text in 100+ languages, from BAAI's BGE-M3. Use for semantic search, RAG retrieval, clustering and deduplication.

Open endpoint ↗

Price per call: $0.01
Chain: Base
Method: GET
Paid calls · 30 days: 5

Call it from code

This API is run by its own provider and paid directly through x402. We list it so you can find it; we don't route or hold the payment.

import { x402Client, wrapFetchWithPayment } from "@x402/fetch";
import { registerExactEvmScheme } from "@x402/evm/exact/client";

const client = new x402Client();
registerExactEvmScheme(client, { signer: agentAccount });

const pay = wrapFetchWithPayment(fetch, client);
const res = await pay("https://agent-data-tools.revmesh2074.workers.dev/ai/embed", { method: "GET" });
console.log(await res.json());

https://agent-data-tools.revmesh2074.workers.dev/ai/embed