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Evidence row 121476

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://social.duoleads.com/v1/social/search
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
3f7b2b89f7fcd0ab232cc9cf7f43e7f62c329071f654099fabe0d14c952a2b04
Leaf
0xb74afc118708e6f3002fd270caa204694781cdb905e1e6a915ae941006cbdfef

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://social.duoleads.com/v1/social/search"
    ]
  ],
  "name": "Social Search Across Platforms",
  "owner_address": "0xcd673f7e1dad254347aeab6be0defe8b9c6b3a39",
  "raw": {
    "accepts": [
      {
        "amount": "25000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:8453",
        "payTo": "0xCD673f7e1daD254347AEab6be0DEFe8b9C6b3A39",
        "scheme": "exact"
      }
    ],
    "description": "Social Search Across Platforms: one keyword search on Reddit and TikTok, plus X (Twitter) when its key is enabled, at once (choose 1-3), run in parallel. Posts and videos from every platform in one shared schema with text, author, likes, replies, reposts, views, time and URL; platforms_missing names any platform that failed (such a partial answer is charged), next_cursor continues every platform. Bad input is free; not found or no match is not charged.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "platforms": "reddit,tiktok",
              "q": "synthetic widgets"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "as_of": "2026-10-15T12:00:00.000Z",
              "complete": true,
              "disclaimer": "Public data via third-party providers; not affiliated with or endorsed by any platform. Do not use to profile, target or train AI on individuals.",
              "items": [
                {
                  "author": {
                    "display_name": null,
                    "followers": null,
                    "handle": "synth_redditor_1",
                    "verified": null
                  },
                  "community": "SynthTech",
                  "created_at": "2026-10-14T00:00:00.000Z",
                  "id": "synp001",
                  "lang": null,
                  "link_url": null,
                  "media_urls": [],
                  "metrics": {
                    "likes": 2204,
                    "replies": 124,
                    "reposts": null,
                    "views": null
                  },
                  "parent_id": null,
                  "platform": "reddit",
                  "text": null,
                  "title": "Is synthwidget worth it?",
                  "type": "post",
                  "url": "https://www.reddit.com/r/SynthTech/comments/synp001/synthetic_post/"
                },
                {
                  "author": {
                    "display_name": null,
                    "followers": null,
                    "handle": "synth_redditor_2",
                    "verified": null
                  },
                  "community": "SynthTech",
                  "created_at": "2026-10-14T01:00:00.000Z",
                  "id": "synp002",
                  "lang": null,
                  "link_url": null,
                  "media_urls": [],
                  "metrics": {
                    "likes": 45,
                    "replies": 12,
                    "reposts": null,
                    "views": null
                  },
                  "parent_id": null,
                  "platform": "reddit",
                  "text": null,
                  "title": "synthwidget 2.0 first impressions",
                  "type": "post",
                  "url": "https://www.reddit.com/r/SynthTech/comments/synp002/synthetic_post/"
                }
              ],
              "next_cursor": "eyJyZWRkaXQiOiJ0M19zeW5wMDAyIiwidGlrdG9rIjoiMTIifQ",
              "platform": "multi",
              "platforms": [
                "reddit",
                "tiktok"
              ],
              "platforms_missing": [],
              "query": {
                "cursor": null,
                "platforms": [
                  "reddit",
                  "tiktok"
                ],
                "q": "synthetic widgets"
              },
              "request_id": "01KEXAMPLE0000000000000000",
              "source": "public data via third-party provider; not affiliated with the platform"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "cursor": {
                      "description": "next_cursor of the previous page (asks only the platforms that have a next page).",
                      "maxLength": 2048,
                      "type": "string"
                    },
                    "platforms": {
                      "description": "Comma-separated, 1-2 of reddit, tiktok. Default both.",
                      "maxLength": 40,
                      "type": "string"
                    },
                    "q": {
                      "description": "Search text (1-200 characters).",
                      "maxLength": 200,
                      "type": "string"
                    }
                  },
                  "required": [
                    "q"
                  ],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "iconUrl": "https://res.cloudinary.com/bdb-prod/image/upload/c_fill,ar_1:1,w_256,h_256,f_auto,q_auto/v1792802716/bazaar-icons/56980b0a10f1aab1.png",
    "lastUpdated": "2026-10-24T01:15:22.201Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-24T01:15:22.081Z"
    },
    "resource": "https://social.duoleads.com/v1/social/search",
    "serviceName": "Social Search Across Platforms",
    "tags": [
      "social-search",
      "social-media",
      "social-data",
      "multi-platform",
      "posts"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Social Search Across Platforms: one keyword search on Reddit and TikTok, plus X (Twitter) when its key is enabled, at once (choose 1-3), run in parallel. Posts and videos from every platform in one shared schema with text, author, likes, replies, reposts, views, time and URL; platforms_missing names any platform that failed (such a partial answer is charged), next_cursor continues every platform. Bad input is free; not found or no match is not charged."
}

What the leaf hashes

{"body":"3f7b2b89f7fcd0ab232cc9cf7f43e7f62c329071f654099fabe0d14c952a2b04","id":121476,"kind":"listing","method":"baseline/1","observed_us":1793025619942825,"prev":null,"subject":"x402_bazaar:https://social.duoleads.com/v1/social/search","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. 0xb74b3a2efe287535fb5e7a132828ee6adc218e94f732c85f0d9c6d55c47b5057
  2. 0x2495648c29bc2fd2ff767b74709b0ca69d6bd551a8ac22fa2476480576d69442
  3. 0x52ee76fe46ee96f5d931c8e13ffb052508343c3e42fb3e42a941d50a6a10d689
  4. 0x54ddaafe855f3ba722dc1ab7dff4bb49f5c8251f946b9a9b7f290c3f7d5fc154
  5. 0xae7a43f5edd10bfa3b780c97b8a7915740a0881c17f27e001c7ffe324949853d
  6. 0xed4698e0db5605537b2538e56cb2039b03196cba3a934123431c295c7f2a823e
  7. 0xef25799f9a73333641a14f69a1611123e5d1fa9cd022102d0bcb339adc8975f9
  8. 0x29e14119f2fad9c1ea9a1b61759c69c21bae9a6c22c6b56c321fa708abf5e425
  9. 0xc5d9cb7f6d731c3618b060f97e1689bbbfdd7a0a2789cad5bdec6d6433b3b538
  10. 0x46c12e190c4c718181898afa8461016dc1585a2f1b886b8ea20e5a33551df678
  11. 0x552b4fce1ed8f44d691c0a47a6af5ee62ad904edb2ebdc55a5ed71fca6e7564f
  12. 0x17930d484cab3f6850715eb0b77dd189c3c06f975cf9def12285fde3eb9b4234
  13. 0x0d86419ca1dd0b62fd8b22ea2e8c74d441312cec3116a467bea429b43e026565
  14. 0x083427e39db4dd470662401f6db5db8fadf084fc4274cf8621b368416952b78b
  15. 0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570
  16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON