mirrored listing x402 eip155:8453animica:1

Embed up to 256 texts in ONE call with all-MiniLM-L6-v2 (384-dimensional, normalised for c

Embed up to 256 texts in ONE call with all-MiniLM-L6-v2 (384-dimensional, normalised for cosine similarity), up to 8192 characters each. Sold as a batch on purpose: a single settlement costs real gas, so a per-string price would be almost entirely payment overhead — one call, many vectors, is the only honest shape for this. This is a small fast local sentence-transformer, not a frontier embedding model; the model id rides on every response so a future change is visible rather than silent.

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5799 (raw units)
price
4
calls / 30d
1
unique payers
2026-08-22
updated

Provider

animica.dev · discovered, not yet claimed by its owner

Payment (x402 accepts[])

[
  {
    "scheme": "exact",
    "network": "eip155:8453",
    "payTo": "0x5D17c40FD6b119dc6006C4Ab3C20a917FCaB2aCD",
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "amount": "5799",
    "maxTimeoutSeconds": 60
  },
  {
    "scheme": "exact",
    "network": "animica:1",
    "payTo": "anim1zqpsmegc0qcvzjfukm89xs0zeu3eqyyyel7kelehuszvwfarqypky2gr946ga",
    "asset": "ANM",
    "amount": "68878682293",
    "maxTimeoutSeconds": 60
  }
]

Output schema

{
  "animica": {
    "catalog": "https://animica.dev/.well-known/x402",
    "content_type": "application/json",
    "currency": "USDC",
    "description": "Embed up to 256 texts in ONE call with all-MiniLM-L6-v2 (384-dimensional, normalised for cosine similarity), up to 8192 characters each. Sold as a batch on purpose: a single settlement costs real gas, so a per-string price would be almost entirely payment overhead — one call, many vectors, is the only honest shape for this. This is a small fast local sentence-transformer, not a frontier embedding model; the model id rides on every response so a future change is visible rather than silent.",
    "documentation": "https://animica.dev/x402#product-embed_batch",
    "name": "Batch text embeddings",
    "openapi": "https://animica.dev/x402/openapi.json",
    "price": "0.005799",
    "product": "embed_batch",
    "provider": "Animica",
    "terms": {
      "amount_atomic": "5799",
      "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
      "chain_id": 8453,
      "network": "eip155:8453",
      "pay_to": "0x5D17c40FD6b119dc6006C4Ab3C20a917FCaB2aCD",
      "scheme": "exact"
    },
    "x402_version": 2
  },
  "bazaar": {
    "discoverable": true,
    "info": {
      "input": {
        "body": {
          "texts": [
            "hello world"
          ]
        },
        "bodyType": "json",
        "method": "POST",
        "type": "http"
      },
      "output": {
        "type": "json"
      }
    },
    "schema": {
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "properties": {
        "input": {
          "properties": {
            "body": {
              "properties": {
                "normalize": {
                  "description": "vectors are already unit-normalised; set false only if you want them raw (default true)",
                  "type": "boolean"
                },
                "texts": {
                  "description": "1..256 strings",
                  "type": "array"
                }
              },
              "required": [
                "texts"
              ],
              "type": "object"
            },
            "bodyType": {
              "enum": [
                "json"
              ],
              "type": "string"
            },
            "method": {
              "enum": [
                "POST"
              ],
              "type": "string"
            },
            "type": {
              "const": "http",
              "type": "string"
            }
          },
          "required": [
            "type",
            "method"
          ],
          "type": "object"
        },
        "output": {
          "properties": {
            "example": {},
            "type": {
              "type": "string"
            }
          },
          "required": [
            "type"
          ],
          "type": "object"
        }
      },
      "required": [
        "input"
      ],
      "type": "object"
    }
  },
  "discovery": {
    "discoverable": true,
    "info": {
      "input": {
        "bodyFields": {
          "normalize": {
            "description": "vectors are already unit-normalised; set false only if you want them raw (default true)",
            "required": false,
            "type": "boolean"
          },
          "texts": {
            "description": "1..256 strings",
            "required": true,
            "type": "array"
          }
        },
        "bodyType": "json",
        "method": "POST",
        "type": "http"
      },
      "output": {
        "description": "model, dimensions, count, vectors[][] in request order, total_chars, and per-text char counts",
        "type": "json"
      }
    }
  }
}

Use it

curl

curl "https://animica.dev/x402/embed"
# -> 402 Payment Required, accepts[] lists how to pay
# retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid

JavaScript

const res = await fetch("https://animica.dev/x402/embed");
if (res.status === 402) {
  const { accepts } = await res.json();
  // pay one of accepts[] via an x402 client, then retry with the payment header
}

Python

import httpx
res = httpx.get("https://animica.dev/x402/embed")
if res.status_code == 402:
    accepts = res.json()["accepts"]
    # pay one of accepts[] via an x402 client, then retry with the payment header

Machine-readable

Everything on this page is also available as clean JSON at /resources/7512.json, and this resource appears in /discovery/resources and /discovery/search.