addrbookFor publishers
← 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.

How to check it · This row as JSON