Index onlineMerchant portal
Api Endpoint

NetIntel

OpenAI-compatible text embeddings API — standard /v1/embeddings request shape: input as a string or a batch of up to 128 strings (64000 chars total on text-embedding-3-small, the default; 24000 on text-embedding-3-large). Flat $0.005 per call in USDC via x402, no OpenAI account or API key. Returns float vectors for RAG, semantic search, clustering, and dedup.

Open interactive test console

Offering

Provider
netintel.dev
Method
POST
Offering type
Api Endpoint
Transport type
http
Category
Api
Delivery
Not provided
Pricing model
Not provided
x402 version
2

Endpoint context

URL
https://netintel.dev/v1/embeddings
MIME type
Not provided
First seen
2026-10-16T01:50:14.534Z
Last seen
Tags
embeddings, text embeddings, vector search, RAG, no api key

Website

Payment pricing

x402 payment terms are the authoritative price for calling this endpoint.

Payment option 1
0.005 USDC
Atomic price: 5000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 2
0.005 USDC
Atomic price: 5000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Raw x402 terms
[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "5000",
    "payTo": "0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df"
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "5000",
    "payTo": "8FVeybWnB4dYrxTuPK7WzFZNAiEcFVaDLFnKpRwVGr5s"
  }
]

Observed health

Status
Healthy
Latest latency
98 ms
Average latency
522 ms
HTTP status
204
Last checked
Reachability
100% over 12 checks

Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.

Input schema

{
  "additionalProperties": false,
  "properties": {
    "body": {
      "properties": {
        "dimensions": {
          "description": "Optional output vector size (truncation).",
          "type": "number"
        },
        "input": {
          "description": "Text to embed. Also accepts an array of up to 128 strings (64000 chars total).",
          "type": "string"
        },
        "model": {
          "description": "text-embedding-3-small (default) or text-embedding-3-large",
          "type": "string"
        }
      },
      "required": [
        "input"
      ],
      "type": "object"
    },
    "bodyType": {
      "enum": [
        "json",
        "form-data",
        "text"
      ],
      "type": "string"
    },
    "method": {
      "enum": [
        "POST"
      ],
      "type": "string"
    },
    "type": {
      "const": "http",
      "type": "string"
    }
  },
  "required": [
    "type",
    "method",
    "bodyType",
    "body"
  ],
  "type": "object"
}

Output schema

{
  "properties": {
    "example": {
      "properties": {
        "data": {
          "description": "[{object:'embedding', index, embedding:[…]}]",
          "type": "array"
        },
        "model": {
          "type": "string"
        },
        "object": {
          "description": "Always 'list'",
          "type": "string"
        },
        "usage": {
          "description": "prompt_tokens, total_tokens (input-only)",
          "type": "object"
        }
      },
      "type": "object"
    },
    "type": {
      "type": "string"
    }
  },
  "required": [
    "type"
  ],
  "type": "object"
}