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Evidence row 117459

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://nojunk-llm.mick8511.workers.dev/v1/embeddings
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
e4713fa9f7aa5d59b6306557fc538b580d74837986035157c3d49a31f7601061
Leaf
0xa3723776c7078d48562cc418ebff7deec96397cd3a5b2b6d5f3850f7ce152bad

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://nojunk-llm.mick8511.workers.dev/v1/embeddings"
    ]
  ],
  "name": "nojunk-llm.mick8511.workers.dev/v1/embeddings",
  "owner_address": "0x6f762720b8515b7091e6aa69e8361f7b9909233f",
  "raw": {
    "accepts": [
      {
        "amount": "1000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x6f762720b8515b7091e6aa69e8361f7b9909233f",
        "scheme": "exact"
      }
    ],
    "description": "AI Chat (LLM) embeddings: OpenAI-compatible text embeddings on BGE-M3 (1024 dimensions, multilingual, up to 32 inputs per call).",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "input": [
                "Pay-per-call APIs for AI agents",
                "USDC on Base"
              ],
              "model": "bge-m3"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "data": [
                {
                  "embedding": [
                    0.0213,
                    -0.0471,
                    0.0088,
                    0.0329
                  ],
                  "index": 0,
                  "object": "embedding"
                },
                {
                  "embedding": [
                    0.0213,
                    -0.0471,
                    0.0088,
                    0.0329
                  ],
                  "index": 1,
                  "object": "embedding"
                }
              ],
              "model": "bge-m3",
              "object": "list",
              "usage": {
                "prompt_tokens": 11,
                "total_tokens": 11
              }
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "input": {
                      "description": "A string, or an array of 1-32 strings (each 1-8000 characters)",
                      "type": [
                        "string",
                        "array"
                      ]
                    },
                    "model": {
                      "description": "Optional: bge-m3 (the only embedding model)",
                      "type": "string"
                    }
                  },
                  "required": [
                    "input"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST",
                    "PUT",
                    "PATCH"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-24T01:55:10.915Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 3,
      "lastCalledAt": "2026-10-24T01:55:10.676Z"
    },
    "resource": "https://nojunk-llm.mick8511.workers.dev/v1/embeddings",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "AI Chat (LLM) embeddings: OpenAI-compatible text embeddings on BGE-M3 (1024 dimensions, multilingual, up to 32 inputs per call)."
}

What the leaf hashes

{"body":"e4713fa9f7aa5d59b6306557fc538b580d74837986035157c3d49a31f7601061","id":117459,"kind":"listing","method":"baseline/1","observed_us":1793025611231822,"prev":null,"subject":"x402_bazaar:https://nojunk-llm.mick8511.workers.dev/v1/embeddings","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).

  1. 0xa3723209a8ca2b63b4bd808881a89ecfc74358c393ede1552364ac82132cec06
  2. 0x6da14bac44a1973866a4da7e65e53a2886515f0de9c71f6fcc88012e5c93593c
  3. 0x15dd24c220b27c36a719f5e9814a4357b3d26f33b7780381661fdec1f6a7a556
  4. 0x54d32455f99548d9fff0be0fcbd25d4ab1d4ed17de6cc2e75590ca5a296fdf91
  5. 0xd5831fd7311b246c034db6c539f1b0441c3de636d06c95a2025605af0f1d50c9
  6. 0x373b46aa9d24a576865630bb1a0349bb967fee54c61e5818f73e05c152ce2274
  7. 0x45cc277bd73dce8f186943eb62cc6ab770e61c64b4be898587bab746d7b8cf1d
  8. 0x62121de0d4faef1721bf08e703901a1318385b7e96b5775bcbeb23736bc8b2d7
  9. 0x7fbb97fc75b5046e2d155caf9d940b742af355ae952b98e9021a7fb3d4e3d539
  10. 0xbf9e8e8193260b284eff6ae5de9bd74a29a95af639484d57bcbf0408a7dd8030
  11. 0xf02ec0f13d875e636ca9d24097cc2a185cdb09429c8c4ade598b8089f42bb140
  12. 0x19537c574979327583a539261287714af2eee831125de819abab0f155acd3a75
  13. 0xc34c13c58ba9c342ea1b833ac1882a4aea22777c4fd1092b2f83d3bac6b9f845
  14. 0x428106f4ae4ec142f17aebf6fa50935242f8d3f1c211cf95d6351d03d11da2b7
  15. 0x62a900133713919f4eed33d8336876b7a6d538233b8a4f3ed03b29aa44f5bad0
  16. 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
  17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON