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Evidence row 121474

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://social.duoleads.com/v1/social/mentions
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
77fa267590a9c638ccfcf86dbe4b8340a1251efd45c315816276b81090276950
Leaf
0x908af64f9853aab3cd7d168f8cf86245a3d45954b64dbef955e4705c54e46771

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://social.duoleads.com/v1/social/mentions"
    ]
  ],
  "name": "Social Mentions & Sentiment",
  "owner_address": "0xcd673f7e1dad254347aeab6be0defe8b9c6b3a39",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:8453",
        "payTo": "0xCD673f7e1daD254347AEab6be0DEFe8b9C6b3A39",
        "scheme": "exact"
      }
    ],
    "description": "Social Mentions & Sentiment: daily mention counts, distinct authors and mean VADER sentiment for a brand, product or topic over the last 1-7 days, plus the top 10 co-occurring terms. Sources: Bluesky and Hacker News, plus Reddit and X (latest, newest first) when available. One page per source: days beyond its reach come back truncated (coverage_from). Aggregate only, no text, no authors; a day under 20 known authors is suppressed. Bad input is free; not found or no match is not charged.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "days": "7",
              "q": "synthetic widgets"
            },
            "type": "http"
          },
          "output": {
            "example": {
              "as_of": "2026-10-15T12:00:00.000Z",
              "complete": false,
              "coverage_from": "2026-10-14T00:00:00.000Z",
              "days": [
                {
                  "authors": null,
                  "date": "2026-10-09",
                  "mentions": null,
                  "sentiment": null,
                  "suppressed": false,
                  "truncated": true
                },
                {
                  "authors": null,
                  "date": "2026-10-10",
                  "mentions": null,
                  "sentiment": null,
                  "suppressed": false,
                  "truncated": true
                },
                {
                  "authors": null,
                  "date": "2026-10-11",
                  "mentions": null,
                  "sentiment": null,
                  "suppressed": false,
                  "truncated": true
                },
                {
                  "authors": null,
                  "date": "2026-10-12",
                  "mentions": null,
                  "sentiment": null,
                  "suppressed": false,
                  "truncated": true
                },
                {
                  "authors": null,
                  "date": "2026-10-13",
                  "mentions": null,
                  "sentiment": null,
                  "suppressed": false,
                  "truncated": true
                },
                {
                  "authors": null,
                  "date": "2026-10-14",
                  "mentions": null,
                  "sentiment": null,
                  "suppressed": true,
                  "truncated": false
                },
                {
                  "authors": 0,
                  "date": "2026-10-15",
                  "mentions": 0,
                  "sentiment": null,
                  "suppressed": false,
                  "truncated": false
                }
              ],
              "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": [],
              "next_cursor": null,
              "platform": "multi",
              "platforms": [
                "bluesky",
                "hackernews",
                "x",
                "reddit"
              ],
              "platforms_missing": [],
              "query": {
                "days": 7,
                "q": "synthetic widgets",
                "sources": [
                  "bluesky",
                  "hackernews",
                  "x",
                  "reddit"
                ]
              },
              "request_id": "01KEXAMPLE0000000000000000",
              "source": "public data via the Bluesky AppView API; not affiliated with Bluesky; public data via the Hacker News API (Algolia search and Firebase); not affiliated with Y Combinator; public data via third-party provider; not affiliated with the platform",
              "suppressed_buckets": 1,
              "top_terms": [],
              "total_mentions": 0
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "days": {
                      "description": "UTC days ending today, 1-7. Default 7.",
                      "pattern": "^[0-9]{1,4}$",
                      "type": "string"
                    },
                    "q": {
                      "description": "Brand, product or topic (1-100 characters).",
                      "maxLength": 100,
                      "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": "2026-10-24T01:22:20.916Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-24T01:22:20.773Z"
    },
    "resource": "https://social.duoleads.com/v1/social/mentions",
    "serviceName": "Social Mentions & Sentiment",
    "tags": [
      "mentions",
      "sentiment",
      "social-listening",
      "social-media",
      "trends"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Social Mentions & Sentiment: daily mention counts, distinct authors and mean VADER sentiment for a brand, product or topic over the last 1-7 days, plus the top 10 co-occurring terms. Sources: Bluesky and Hacker News, plus Reddit and X (latest, newest first) when available. One page per source: days beyond its reach come back truncated (coverage_from). Aggregate only, no text, no authors; a day under 20 known authors is suppressed. Bad input is free; not found or no match is not charged."
}

What the leaf hashes

{"body":"77fa267590a9c638ccfcf86dbe4b8340a1251efd45c315816276b81090276950","id":121474,"kind":"listing","method":"baseline/1","observed_us":1793025619937573,"prev":null,"subject":"x402_bazaar:https://social.duoleads.com/v1/social/mentions","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