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Evidence row 117468

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://nojunk-speech.mick8511.workers.dev/transcribe
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
39499c25e2119f2c15ce0487dda9e73c8edf0f802b5dfa372f72d3e9aeb024b1
Leaf
0x8f1dc84f5e04d6abcad985ee12390f0c7e41df14a88b5a29a07ba1c38b1fcfb8

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://nojunk-speech.mick8511.workers.dev/transcribe"
    ]
  ],
  "name": "nojunk-speech.mick8511.workers.dev/transcribe",
  "owner_address": "0x6f762720b8515b7091e6aa69e8361f7b9909233f",
  "raw": {
    "accepts": [
      {
        "amount": "20000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x6f762720b8515b7091e6aa69e8361f7b9909233f",
        "scheme": "exact"
      }
    ],
    "description": "NoJunk Speech transcribe: Transcribe audio (URL or base64, up to 20 MB / about 10 minutes) to text with timestamps, word count and detected language (Whisper large-v3-turbo).",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "audio_url": "https://example.com/podcast-clip.mp3",
              "language": "en"
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "audio_bytes": 102400,
              "duration_seconds": 6.4,
              "generated_at": "2026-10-15T12:00:00.000Z",
              "language": "en",
              "language_probability": 0.99,
              "model": "@cf/openai/whisper-large-v3-turbo",
              "segments": [
                {
                  "end": 2.1,
                  "start": 0,
                  "text": "Welcome back to the show."
                },
                {
                  "end": 6.4,
                  "start": 2.1,
                  "text": "Today we are talking about how AI agents pay for the tools they use."
                }
              ],
              "source": "url",
              "text": "Welcome back to the show. Today we are talking about how AI agents pay for the tools they use.",
              "word_count": 18
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "audio_base64": {
                      "description": "Base64-encoded audio bytes (max 20 MB decoded); use this OR audio_url",
                      "type": "string"
                    },
                    "audio_url": {
                      "description": "Public http(s) URL of an audio file (mp3, wav, m4a, ogg, flac, webm, mp4), max 20 MB; use this OR audio_base64",
                      "type": "string"
                    },
                    "content_type": {
                      "description": "Optional media type of audio_base64, e.g. audio/mpeg",
                      "type": "string"
                    },
                    "language": {
                      "description": "Optional ISO 639-1 language hint such as \"en\"; omit to auto-detect",
                      "type": "string"
                    }
                  },
                  "required": [],
                  "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": "2026-10-18T17:59:04.065Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-18T17:59:03.876Z"
    },
    "resource": "https://nojunk-speech.mick8511.workers.dev/transcribe",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "NoJunk Speech transcribe: Transcribe audio (URL or base64, up to 20 MB / about 10 minutes) to text with timestamps, word count and detected language (Whisper large-v3-turbo)."
}

What the leaf hashes

{"body":"39499c25e2119f2c15ce0487dda9e73c8edf0f802b5dfa372f72d3e9aeb024b1","id":117468,"kind":"listing","method":"baseline/1","observed_us":1793025611243690,"prev":null,"subject":"x402_bazaar:https://nojunk-speech.mick8511.workers.dev/transcribe","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. 0x8f1dcb00779bd9a16352f9e56dc266f8519badb6287fdeb157ccbbee2529ab3e
  2. 0x6e7b60a2929404569e06b0f20d409be4afa9e0ca1a5fd31c9e31214b0856a31b
  3. 0xb07840390944b8926f2707065d05a71d3cc7dafdcecb00d4291be54837f3b58b
  4. 0x2182542dd5755cd78b8e2faf8213784442c12db3c36e401030b9d051dab0643a
  5. 0xe2cde936acfa323aa6428cbf7a156b74b0170885f1282b38f50c5891262241ab
  6. 0x3305eb7912bc12515ea8576916e28c918def9f78d8063d41893fb326ec18db77
  7. 0x760645ab72017d5d49f5ed0506dd87bbac7db4984a51497520c29172e6d1cd22
  8. 0xb9ac13d2c262a221426064b9dfb038d85fa59da812ced35d449a2c39fa2b11fa
  9. 0xbe57338dc8e149be351285c9103096d4aed9ac5df806402b12630467ac57d26f
  10. 0x8665760a589b1324397302f9a49dc33b42b22f68a2e06cfa1d55ff2fcfa7305c
  11. 0x4ef4c3a70c6b26977cbaf534a1ab9edcc651b2d385e682cd5a3f54a060ec0018
  12. 0x4634efb8094d1dd2874013b832ad8653e49400f57bf98efdcc5f925ed08d0f5b
  13. 0xc0cb184c9bdf71abcf18fda97bd59289153d120dbf8fee9f517b63bf303deb95
  14. 0xf0edabbb9ba0d643e5505d19d07637eb6f6aed0a1c7356af43ae7d84ae9ef0c5
  15. 0xf0bd63870f0bb378fa300bd33563050dcb7b3e02b44eb3ee550c1c534ec4b246
  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