Index onlineMerchant portal
Api Endpoint

NetIntel

Multilingual text embeddings (384-dim) served in-house, no OpenAI dependency, no API key. NetIntel's cheapest embeddings at $0.001/call, batches up to 256 texts. Supports query/passage input types for retrieval (e5). Pairs with /text/chunk for a full chunk→embed RAG pipeline on one provider.

Open interactive test console

Offering

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

Endpoint context

URL
https://netintel.dev/embeddings
MIME type
Not provided
First seen
2026-10-16T01:50:19.913Z
Last seen
Tags
embeddings, multilingual embeddings, vector search, RAG, no api key

Website

Payment pricing

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

Payment option 1
0.001 USDC
Atomic price: 1000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 2
0.001 USDC
Atomic price: 1000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Raw x402 terms
[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "1000",
    "payTo": "0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df"
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "1000",
    "payTo": "8FVeybWnB4dYrxTuPK7WzFZNAiEcFVaDLFnKpRwVGr5s"
  }
]

Observed health

Status
Healthy
Latest latency
98 ms
Average latency
202 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": {
        "encoding_format": {
          "description": "float (default) or base64.",
          "type": "string"
        },
        "input": {
          "description": "Text to embed. Also accepts an array of up to 256 strings (200000 chars total). Aliases: text, inputs.",
          "type": "string"
        },
        "input_type": {
          "description": "query or passage (default). Aliases: task, type.",
          "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:[…384 floats]}]",
          "type": "array"
        },
        "dimensions": {
          "description": "Always 384",
          "type": "number"
        },
        "model": {
          "description": "Always 'netintel-embed-small'",
          "type": "string"
        },
        "object": {
          "description": "Always 'list'",
          "type": "string"
        },
        "usage": {
          "description": "prompt_tokens, total_tokens (input-only, estimated)",
          "type": "object"
        }
      },
      "type": "object"
    },
    "type": {
      "type": "string"
    }
  },
  "required": [
    "type"
  ],
  "type": "object"
}