← The evidence ledger
Evidence row 61374
Observed , by baseline/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://agent-toolbox.zafermemon87.workers.dev/mcp#embed_text#embed_text
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 4652032cae88c8eedc52c5edcbcc45734ba73797916e97825abc73b6ec15befb
- Leaf
- 0xede8cd52759f1f9032901d7f38e0eb124211416a8c3f3fe3f194d3f20ae3c75b
What was observed
{
"endpoints": [
[
"x402",
"https://agent-toolbox.zafermemon87.workers.dev/mcp"
]
],
"name": "agent-toolbox.zafermemon87.workers.dev/mcp",
"owner_address": "0xa41015022322640f03a895bc439da80ddfd73954",
"raw": {
"accepts": [
{
"amount": "2000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:8453",
"payTo": "0xa41015022322640f03a895bc439da80ddfd73954",
"scheme": "exact"
}
],
"description": "Text embeddings with BGE-M3 (multilingual, 1024 dimensions) for search, clustering and RAG: up to 100 texts of up to 8,000 characters per call.",
"extensions": {
"bazaar": {
"info": {
"input": {
"description": "Text embeddings with BGE-M3 (multilingual, 1024 dimensions) for search, clustering and RAG: up to 100 texts of up to 8,000 characters per call.",
"example": {
"texts": [
"The cat sat on the mat",
"A feline rested on a rug"
]
},
"inputSchema": {
"properties": {
"texts": {
"description": "Texts to embed",
"items": {
"type": "string"
},
"maxItems": 100,
"type": "array"
}
},
"required": [
"texts"
],
"type": "object"
},
"toolName": "embed_text",
"transport": "streamable-http",
"type": "mcp"
},
"output": {
"example": {
"count": 2,
"dimensions": 1024,
"embeddings": [
[
-0.0029201507568359375,
0.0237579345703125,
-0.083740234375,
-0.0017709732055664062,
"...1020 more"
],
[
-0.0377197265625,
0.019805908203125,
-0.0533447265625,
-0.0042572021484375,
"...1020 more"
]
],
"model": "bge-m3",
"plain": "2 embeddings of 1024 dimensions."
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"description": {
"type": "string"
},
"example": {
"type": "object"
},
"inputSchema": {
"type": "object"
},
"toolName": {
"type": "string"
},
"transport": {
"enum": [
"streamable-http"
],
"type": "string"
},
"type": {
"const": "mcp",
"type": "string"
}
},
"required": [
"type",
"toolName",
"inputSchema"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
},
"lastUpdated": "2026-10-24T14:30:42.396Z",
"quality": {
"l30DaysTotalCalls": 1,
"l30DaysUniquePayers": 1,
"lastCalledAt": "2026-10-24T14:30:42.042Z"
},
"resource": "https://agent-toolbox.zafermemon87.workers.dev/mcp#embed_text#embed_text",
"type": "mcp",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Text embeddings with BGE-M3 (multilingual, 1024 dimensions) for search, clustering and RAG: up to 100 texts of up to 8,000 characters per call."
}What the leaf hashes
{"body":"4652032cae88c8eedc52c5edcbcc45734ba73797916e97825abc73b6ec15befb","id":61374,"kind":"listing","method":"baseline/1","observed_us":1793025450541310,"prev":null,"subject":"x402_bazaar:https://agent-toolbox.zafermemon87.workers.dev/mcp#embed_text#embed_text","subject_kind":"source_record"}Proof
Its day has not closed yet. A day closes ten minutes after midnight UTC; the proof appears here then.