Index onlineMerchant portal
Api Endpoint

NetIntel

Semantic similarity ranking — send a query plus up to 100 candidate texts, get the candidates back ranked by semantic similarity with scores. No vectors, no cosine math, no embedding model to manage: one call, one price, ranked results. Flat $0.02 per call in USDC via x402, no API key. For RAG retrieval, FAQ matching, and search result ordering.

Open interactive test console

Offering

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

Endpoint context

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

Website

Payment pricing

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

Payment option 1
0.02 USDC
Atomic price: 20000 · Network: eip155:8453 · Asset: USDC · Scheme: exact
Payment option 2
0.02 USDC
Atomic price: 20000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Raw x402 terms
[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "20000",
    "payTo": "0xdaDc335482AD545296Fd7b28518A251fFCbEb9Df"
  },
  {
    "scheme": "exact",
    "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
    "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "amount": "20000",
    "payTo": "8FVeybWnB4dYrxTuPK7WzFZNAiEcFVaDLFnKpRwVGr5s"
  }
]

Observed health

Status
Healthy
Latest latency
101 ms
Average latency
100 ms
HTTP status
204
Last checked
Reachability
100% over 13 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": {
        "candidates": {
          "description": "1-100 candidate strings to rank (64000 chars total on the default model).",
          "items": {
            "type": "string"
          },
          "type": "array"
        },
        "min_score": {
          "description": "Drop results scoring below this (-1 to 1). Optional.",
          "type": "number"
        },
        "model": {
          "description": "text-embedding-3-small (default) or text-embedding-3-large",
          "type": "string"
        },
        "query": {
          "description": "The text to rank candidates against.",
          "type": "string"
        },
        "top_k": {
          "description": "Return only the best N results. Optional.",
          "type": "number"
        }
      },
      "required": [
        "query",
        "candidates"
      ],
      "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": {
        "dimensions": {
          "type": "number"
        },
        "method": {
          "description": "Always 'embedding_similarity'",
          "type": "string"
        },
        "model": {
          "type": "string"
        },
        "normalized": {
          "type": "boolean"
        },
        "provider": {
          "type": "string"
        },
        "results": {
          "description": "Ranked best-first: [{index (original position), score, text}]",
          "type": "array"
        },
        "usage": {
          "description": "prompt_tokens (input-only)",
          "type": "object"
        }
      },
      "type": "object"
    },
    "type": {
      "type": "string"
    }
  },
  "required": [
    "type"
  ],
  "type": "object"
}