Embeddings (OpenAI-compatible)

$0.002 per call · USDC via x402 · POST /v1/embeddings

OpenAI-compatible text embeddings over x402 - point any OpenAI SDK at base_url https://agent402.tools/v1 and pay $0.002 per call in USDC, no API key, no signup. Send POST /v1/embeddings with the required field input and pay $0.002 per call over x402 or MPP (there is no free tier). It returns a JSON object with object, data, model and usage.

Batch up to 64 inputs / 16k chars per request; text-embedding-3-small by default (3-large and ada-002 supported; dimensions and encoding_format pass through). Embeddings are deterministic, so a byte-identical repeat within 10 minutes is served FREE from cache automatically (X-Cache: hit; opt out with cache:false).

Category: LLM gateway · Tags: embeddings vector rag semantic-search llm ai inference chat

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Parameters

NameTypeRequiredDescription
inputstringyesText to embed - a string or an array of up to 64 strings (16k chars total) Also accepted as text, data, str, string, body, content.
modelstringnoOptional - text-embedding-3-small (default), text-embedding-3-large, or text-embedding-ada-002
dimensionsnumbernoOptional output dimensions (3-small/3-large only)

Example request

curl -i -X POST https://agent402.tools/v1/embeddings \
  -H "Content-Type: application/json" \
  -d '{"input":"Agent402 is an open-source x402 tool server."}'

Without payment this returns HTTP 402 Payment Required with the exact price for v1-embeddings; any x402 v2 or MPP client pays it and retries.

Example response

{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [
        0.0023,
        -0.0091,
        0.0152
      ]
    }
  ],
  "model": "text-embedding-3-small",
  "usage": {
    "prompt_tokens": 12,
    "total_tokens": 12
  }
}
FieldTypeAlways presentIn the example
objectstringyeslist
dataarray of objectsyes1 item in the example
modelstringyestext-embedding-3-small
usageobjectyes2 fields: prompt_tokens, total_tokens

From an MCP client

catalog.call {
  "slug": "v1-embeddings",
  "params": {
    "input": "Agent402 is an open-source x402 tool server."
  }
}

The hosted connector at https://agent402.tools/mcp needs a payment for v1-embeddings; the stdio package pays it from a wallet or from AGENT402_CREDITS_KEY. Local install: npx -y agent402-mcp.

Errors and behavior

Paid call (JavaScript agent)

import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client();
client.setSpendControls?.(false); // keep your own spending ceiling in code
registerExactEvmScheme(client, { signer: privateKeyToAccount(KEY) });
const payFetch = wrapFetchWithPayment(fetch, client);

const res = await payFetch("https://agent402.tools/v1/embeddings", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": "Agent402 is an open-source x402 tool server."
  }),
});

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