← The evidence ledger
Evidence row 119023
Observed , by baseline/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://quickbuild.quynguyenbac.workers.dev/v1/embeddings
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- be2e8ed7e04a9dbeb6d364cec4d0ff5812433a751195e97802a4b6e1a0745fad
- Leaf
- 0xe3a25047c6ae7b55127b0990d158383d079614c6c1b2031dc20fba2a8f560726
What was observed
{
"endpoints": [
[
"x402",
"https://quickbuild.quynguyenbac.workers.dev/v1/embeddings"
]
],
"name": "QuickBuild",
"owner_address": "0x751a4c3841be287544c371b4ee09bd3366aea7cf",
"raw": {
"accepts": [
{
"amount": "1000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:8453",
"payTo": "0x751a4c3841bE287544C371B4EE09Bd3366AeA7cf",
"scheme": "exact"
}
],
"description": "Drop-in OpenAI Embeddings endpoint: POST {input: string | string[], model, encoding_format: float|base64, dimensions} and get {object: \"list\", data: [{embedding, index}], model, usage}. Models (Cloudflare Workers AI): bge-m3 (1024-d, multilingual (100+ languages), 8192-token context); bge-large-en-v1.5 (1024-d, English); bge-base-en-v1.5 (768-d, English); bge-small-en-v1.5 (384-d, English, fastest); embeddinggemma-300m (768-d, multilingual (Google EmbeddingGemma)). Any other model name (e.g....",
"extensions": {
"bazaar": {
"info": {
"input": {
"method": "GET",
"queryParams": {
"input": [
"x402 lets AI agents pay for APIs per call.",
"Vector search over documents"
],
"model": "bge-m3"
},
"type": "http"
},
"output": {
"example": {
"data": [
{
"embedding": [
-0.0291,
0.0137,
-0.0402,
0.0088
],
"index": 0,
"object": "embedding"
}
],
"dimensions": 1024,
"model": "bge-m3",
"modelId": "@cf/baai/bge-m3",
"object": "list",
"usage": {
"prompt_tokens": 12,
"total_tokens": 12
}
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"dimensions": {
"description": "Optional output size; vectors are truncated and re-normalized.",
"maximum": 1024,
"minimum": 1,
"type": "integer"
},
"encoding_format": {
"description": "float (default) or base64 (little-endian float32).",
"enum": [
"float",
"base64"
],
"type": "string"
},
"input": {
"description": "Text or array of texts to embed (max 100). Optional: defaults to a sample sentence.",
"items": {
"type": "string"
},
"type": [
"string",
"array"
]
},
"model": {
"description": "Embedding model alias (default bge-m3).",
"enum": [
"bge-m3",
"bge-large-en-v1.5",
"bge-base-en-v1.5",
"bge-small-en-v1.5",
"embeddinggemma-300m"
],
"type": "string"
}
},
"required": [],
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"data": {
"items": {
"properties": {
"embedding": {
"items": {
"type": "number"
},
"type": [
"array",
"string"
]
},
"index": {
"type": "integer"
},
"object": {
"type": "string"
}
},
"type": "object"
},
"type": "array"
},
"dimensions": {
"type": "integer"
},
"model": {
"type": "string"
},
"modelId": {
"type": "string"
},
"object": {
"type": "string"
},
"usage": {
"properties": {
"prompt_tokens": {
"type": "integer"
},
"total_tokens": {
"type": "integer"
}
},
"type": "object"
}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
},
"lastUpdated": "2026-10-24T20:48:20.151Z",
"quality": {
"l30DaysTotalCalls": 2,
"l30DaysUniquePayers": 2,
"lastCalledAt": "2026-10-24T20:48:19.993Z"
},
"resource": "https://quickbuild.quynguyenbac.workers.dev/v1/embeddings",
"serviceName": "QuickBuild",
"tags": [
"embeddings",
"openai-compatible",
"rag",
"vector",
"ai"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Drop-in OpenAI Embeddings endpoint: POST {input: string | string[], model, encoding_format: float|base64, dimensions} and get {object: \"list\", data: [{embedding, index}], model, usage}. Models (Cloudflare Workers AI): bge-m3 (1024-d, multilingual (100+ languages), 8192-token context); bge-large-en-v1.5 (1024-d, English); bge-base-en-v1.5 (768-d, English); bge-small-en-v1.5 (384-d, English, fastest); embeddinggemma-300m (768-d, multilingual (Google EmbeddingGemma)). Any other model name (e.g...."
}What the leaf hashes
{"body":"be2e8ed7e04a9dbeb6d364cec4d0ff5812433a751195e97802a4b6e1a0745fad","id":119023,"kind":"listing","method":"baseline/1","observed_us":1793025614354409,"prev":null,"subject":"x402_bazaar:https://quickbuild.quynguyenbac.workers.dev/v1/embeddings","subject_kind":"source_record"}Proof
Its day has not closed yet. A day closes ten minutes after midnight UTC; the proof appears here then.