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Evidence row 65661

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://api.cn402.com/tg/scan
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
b4923670967f405192f2d3855e6b140095116f938529e78bbf1c3d1c1370a4fc
Leaf
0x07e202d1feceb0995ce1df87b2652e121da84183232abddc5904d66cab306ec2

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.cn402.com/tg/scan"
    ]
  ],
  "name": "api.cn402.com/tg/scan",
  "owner_address": "0x4466d4a84b7c49a6a094ec6eef4a0712d6dd125e",
  "raw": {
    "accepts": [
      {
        "amount": "20000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x4466d4A84b7c49a6A094ec6eef4a0712D6dd125e",
        "scheme": "exact"
      },
      {
        "amount": "20000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "CjNFTjvBhbJJd2B5ePPMHRLx1ELZpa8dwQgGL727eKww"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "9urRvUx69HqAopg1JGV9P9wR7JdKoztzdkuNyJ8Eo1up",
        "scheme": "exact"
      }
    ],
    "description": "在一批公开 Telegram 频道里按关键词扫描并给出热度信号。传 preset 一键选内置币圈频道库(news 英文快讯/whale 链上鲸鱼/cn 中文媒体/all),或自传频道。返回命中帖子、按频道聚合命中数、signal 热度(high/medium/low/quiet + 最热频道)。用于叙事追踪、舆情情绪、聪明钱信号、空投上新。Scan public Telegram channels for keyword mentions with a heat signal. Use preset for a curated crypto channel list or pass your own. Returns matches, per-channel counts, and a snapshot heat signal. For narrative tracking, sentiment and smart-money signals. Accepts payment on Base or Solana — either network works.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "channels": "string",
              "limitPerChannel": "string",
              "preset": "string",
              "query": "string",
              "windowHours": "string"
            },
            "type": "http"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "channels": {
                      "description": "Comma-separated list of public Telegram channel usernames to scan, e.g. durov,telegram (max 15). Leading @ and full t.me URLs are accepted. JSON arrays are also accepted in a POST body. Optional if preset is given.",
                      "type": "string"
                    },
                    "limitPerChannel": {
                      "description": "Recent messages to scan per channel, 1-50 (default 20).",
                      "type": "string"
                    },
                    "preset": {
                      "description": "Optional. Pick a curated built-in crypto channel list instead of naming channels: news (EN crypto news), whale (on-chain & whale alerts), cn (Chinese crypto media), or all. Comma-separated presets are merged (e.g. news,whale). Combine with channels= to add your own.",
                      "type": "string"
                    },
                    "query": {
                      "description": "Keyword(s) to match in post text, case-insensitive. Comma-separated terms are OR-matched (e.g. pepe,airdrop). If omitted, returns a merged newest-first feed with no filter (and a volume-based signal).",
                      "type": "string"
                    },
                    "windowHours": {
                      "description": "Optional. Only return posts published within the last N hours (1-720).",
                      "type": "string"
                    }
                  },
                  "required": [
                    "query"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-08T06:12:48.626Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-08T06:12:48.471Z"
    },
    "resource": "https://api.cn402.com/tg/scan",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "在一批公开 Telegram 频道里按关键词扫描并给出热度信号。传 preset 一键选内置币圈频道库(news 英文快讯/whale 链上鲸鱼/cn 中文媒体/all),或自传频道。返回命中帖子、按频道聚合命中数、signal 热度(high/medium/low/quiet + 最热频道)。用于叙事追踪、舆情情绪、聪明钱信号、空投上新。Scan public Telegram channels for keyword mentions with a heat signal. Use preset for a curated crypto channel list or pass your own. Returns matches, per-channel counts, and a snapshot heat signal. For narrative tracking, sentiment and smart-money signals. Accepts payment on Base or Solana — either network works."
}

What the leaf hashes

{"body":"b4923670967f405192f2d3855e6b140095116f938529e78bbf1c3d1c1370a4fc","id":65661,"kind":"listing","method":"baseline/1","observed_us":1793025458774132,"prev":null,"subject":"x402_bazaar:https://api.cn402.com/tg/scan","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. 0x07e1cf2702bfc9f6a14eea7f468dcafca8b7b81426f3f962b0d69b134a212f90
  2. 0x8465b5413cc1dc8d710e3caa3ad78059b2d2c701083ebe61ad4424030d00fd30
  3. 0xdfd764ad1b9a721cd048dd3981e175de98dd3146c383429bccbdf4b3fc67318a
  4. 0x9265b791141cc527f6e6bd8406d55c8094a800fe4cbb3f6c54cdc230697d081b
  5. 0x9e24a03fd757c93da6306b79adcbd39c6b11c96f3963f98f1f4dd3b6754ea99b
  6. 0x958b8e9658576840c07f642e5dcf06bf5d74eaa279f68ae90377ed937932b7f2
  7. 0x57a39af1ca54ff4fc2c6ca09669a596d78e1a8164b5212e4ef85b391ae480a88
  8. 0x18e51c542bcdf0ce31e867990bcfb5d782769a2aa0aeab389e3cccc643f1d507
  9. 0xeea4eb4b257a21cea79349051e304c9f01984afa83774c6509013ba81e058790
  10. 0x286d15bd62bd4bdc9d226a5307435d38911f3c64d096f3d8addf809f96068fe4
  11. 0xe5919b091405f2537da4d32a97f1520286a61795e2d149438b884ef5190051cc
  12. 0x6003e14d04cde1d24b195ac15b568dd483e04047e0f2ff64d9632a51a8f7123d
  13. 0xe5a836cf25a8dfc72c9e3b6a69a7561a1f61f50f9cf36707d36f6e926aa15dec
  14. 0xa96bb9408ce00a0d40ddaba8736257dfce76d5478b131d69db1afdf8a824312b
  15. 0x7ddc2fead128357f881b63e6c7c26d7fbbb84fca6c7c8e0bbfe386de86ca8d39
  16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON