← The evidence ledger
Evidence row 19257
Observed , by sync.x402_bazaar/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://agentsvc.io/api/v1/proxy/text-embed
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- c44bd96c6dcc327f6ce1783e4fe94a8142f85340810472790dc87e61118a36c9
- Leaf
- 0x16751e676dd700373d59abbf9ca5924a3a0eb907ec1e77f5e211925bbcad43ef
What was observed
{
"endpoints": [
[
"x402",
"https://agentsvc.io/api/v1/proxy/text-embed"
]
],
"name": "Text Embeddings and Rerank",
"owner_address": "0x622efa6ceb83a5b6edbc931332f4db68b7f74f27",
"raw": {
"accepts": [
{
"amount": "2000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:8453",
"payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
"scheme": "exact"
},
{
"amount": "2000",
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"feePayer": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
},
"maxTimeoutSeconds": 300,
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"payTo": "5JzPS5qpEwUM1vTC9GG7uqvwJdHzbEwfoPHf2Ki977tg",
"scheme": "exact"
},
{
"amount": "2000",
"asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:137",
"payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
"scheme": "exact"
},
{
"amount": "2000",
"asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:42161",
"payTo": "0x622efA6Ceb83a5b6EdBC931332f4db68B7f74F27",
"scheme": "exact"
}
],
"description": "Sentence embeddings (all-MiniLM-L6-v2, 384 dimensions, L2-normalized, multilingual input works best in English) for semantic search, clustering and deduplication, or rerank mode: pass query + documents to get documents sorted by cosine similarity. Runs locally, texts are not stored. Params: texts (1 to 32 strings, max 2000 chars each) for embed mode, or query + documents (up to 64) and top_k for rerank mode.",
"extensions": {
"bazaar": {
"category": "text",
"info": {
"input": {
"body": {
"documents": [
"x402 lets agents pay per call with USDC",
"The cat sat on the mat",
"Weather in Berlin is sunny"
],
"query": "how do AI agents pay for APIs?"
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"data": {
"mode": "rerank",
"model": {
"dimensions": 384,
"max_tokens": 256,
"name": "sentence-transformers/all-MiniLM-L6-v2",
"normalized": true,
"quantization": "int8",
"similarity": "cosine (dot product of normalized vectors)"
},
"query": "how do AI agents pay for APIs?",
"results": [
{
"document": "x402 lets agents pay per call with USDC",
"index": 0,
"score": 0.495209
},
{
"document": "The cat sat on the mat",
"index": 1,
"score": 0.005939
},
{
"document": "Weather in Berlin is sunny",
"index": 2,
"score": -0.050145
}
]
},
"success": true
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"documents": {
"items": {
"type": "string"
},
"maxItems": 64,
"type": "array"
},
"include_embeddings": {
"default": false,
"type": "boolean"
},
"query": {
"type": "string"
},
"texts": {
"items": {
"type": "string"
},
"maxItems": 32,
"type": "array"
},
"top_k": {
"maximum": 64,
"minimum": 1,
"type": "integer"
}
},
"required": []
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"data": {
"properties": {
"mode": {
"type": "string"
},
"model": {
"properties": {
"dimensions": {
"type": "integer"
},
"max_tokens": {
"type": "integer"
},
"name": {
"type": "string"
},
"normalized": {
"type": "boolean"
},
"quantization": {
"type": "string"
},
"similarity": {
"type": "string"
}
},
"type": "object"
},
"query": {
"type": "string"
},
"results": {
"items": {
"properties": {
"document": {
"type": "string"
},
"index": {
"type": "integer"
},
"score": {
"type": "number"
}
},
"type": "object"
},
"type": "array"
}
},
"required": [
"mode",
"model"
],
"type": "object"
},
"success": {
"type": "boolean"
}
},
"required": [
"success",
"data"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
},
"tags": [
"embeddings",
"text-embeddings",
"reranking",
"rerank",
"semantic-search",
"vector",
"rag"
]
},
"builder-code": {
"info": {
"a": "bc_q6wi3opd"
}
}
},
"iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1791462963/bazaar-icons/243ff0b79dbee242.png",
"lastUpdated": "2026-10-26T04:01:10.319Z",
"quality": {
"l30DaysTotalCalls": 19,
"l30DaysUniquePayers": 4,
"lastCalledAt": "2026-10-26T04:01:09.69Z"
},
"resource": "https://agentsvc.io/api/v1/proxy/text-embed",
"serviceName": "Text Embeddings and Rerank",
"tags": [
"embeddings",
"text-embeddings",
"reranking",
"rerank",
"semantic-search"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Sentence embeddings (all-MiniLM-L6-v2, 384 dimensions, L2-normalized, multilingual input works best in English) for semantic search, clustering and deduplication, or rerank mode: pass query + documents to get documents sorted by cosine similarity. Runs locally, texts are not stored. Params: texts (1 to 32 strings, max 2000 chars each) for embed mode, or query + documents (up to 64) and top_k for rerank mode."
}What the leaf hashes
{"body":"c44bd96c6dcc327f6ce1783e4fe94a8142f85340810472790dc87e61118a36c9","id":19257,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793025331366969,"prev":null,"subject":"x402_bazaar:https://agentsvc.io/api/v1/proxy/text-embed","subject_kind":"source_record"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).
- 0x16753f54d9967b6fb264541a491b138a297e9c8af23ae6ebb1cca481358d36bc
- 0x14fb217209a783e0c40b3e74ed4cf48603b37d94baa9c1742566e2ec56d2e206
- 0xec61ff1260968d48de1dd81695186cc5080eff56a5bf497b3309c563c760c43c
- 0x1c52fc9101962c9ec55e0a9780a04c7caa51c2062d379d97dcbc324fd05746a3
- 0xad0ae1cd2c71e996d960cbca515f5db78f330f9f5774b9654cc3374f811e208b
- 0x805328b479f209113a9a48a0f9d8437eb14f5f5ec163e16b649af5ada8b32361
- 0xa0ae52a9488c89b0b90b2d65610582bedeb78a8daee95f1fffbb2126bbf6216a
- 0x564d0e2d368e39b7749f29dc16912a70a45a2e1dcc7758a1d44978cf575328e9
- 0xcdb65b1b856f0b18f36f6df07e607af2548ca59b8272c94da089d9920f990db6
- 0x051922b623453bd4bca9a9af0907e733bcc4583746990b8b7f187b87a9891e47
- 0x1ff0b13d2481c9da18eda22ffeb00b1ce27c383301867cb629c19e9a2e4b869a
- 0x856fd0d049baa5f07cd2d5d524b40c994bed22cb46ea15af4cc075b3f3f3d444
- 0x32f46c5f73ecbfd4f770f7f760a79bee2afed4b3e7572fa882b3e7dce8df4356
- 0x770e4376196188c7fc9ec40f8e218dc0d1cb92bba5fe0425a0edce27ca9a997f
- 0x60582ab4b41e72eb70eb0bce07fbf0fb4d2b62a8bad5be50f5d16d511adc746c
- 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
- 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
- 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae