Api Endpoint

dev-5090-box.tailfb4c1f.ts.net

Text embeddings (768-dim). Send {"input": "text"} or {"input": ["a","b"]}.

Open interactive test console

Offering

Provider
dev-5090-box.tailfb4c1f.ts.net
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://dev-5090-box.tailfb4c1f.ts.net/v1/embed
MIME type
application/json
First seen
2026-10-16T01:50:32.458Z
Last seen
Tags
embeddings

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
Raw x402 terms
[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "5000",
    "payTo": "0x07f3f36408a7632bc377b2b0bf181868940395e3"
  }
]

Observed health

Status
Healthy
Latest latency
177 ms
Average latency
459 ms
HTTP status
200
Last checked
Reachability
85.7% over 14 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": {
        "input": {
          "description": "The text to embed: one string, or an array of strings for one 768-dim vector each, e.g. {\"input\": \"text\"} or {\"input\": [\"a\", \"b\"]}.",
          "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

{
  "type": "json",
  "example": {
    "object": "list",
    "data": [
      {
        "object": "embedding",
        "index": 0,
        "embedding": [
          0.0123,
          -0.0456,
          0.0789
        ]
      }
    ],
    "model": "local-embed",
    "usage": {
      "prompt_tokens": 4,
      "total_tokens": 4
    }
  }
}