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Evidence row 751100

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://search.gedx402.com/v1/parallel/search
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
49c1fa08e7c2e1077d4e3beafda8eecb40e3617d2a9c93a9ae48a2ecbc55b1be
Leaf
0x8f9ffe9a760e95e65dbb713e8d05f40ad0dfc67c7fd887c49afd8afa1f1c4cf7

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://search.gedx402.com/v1/parallel/search"
    ]
  ],
  "name": "GEDX402 Search",
  "owner_address": "0xb3c2776ce3f99cb3366520c27b4ac5d436942ab6",
  "raw": {
    "accepts": [
      {
        "amount": "39500",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0xb3C2776cE3F99cb3366520c27b4aC5D436942Ab6",
        "scheme": "exact"
      }
    ],
    "description": "Parallel web search built for agents: give a goal and keyword queries, get ranked pages with relevant excerpts. POST { objective?, search_queries: [\"...\"], mode? }. mode turbo or fast is quicker; basic, advanced or no mode searches deeper. Ten results are included, and advanced_settings.max_results can go up to 20. https://docs.parallel.ai/api-reference/search/search $0.040 USDC per request. Agent search: parallel, parallel web search, objective search, excerpts, deep research.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "mode": "fast",
              "objective": "Current price of NVIDIA stock",
              "search_queries": [
                "NVIDIA stock price"
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "results": [
                {
                  "excerpts": [
                    "…"
                  ],
                  "title": "Example",
                  "url": "https://example.com"
                }
              ],
              "search_id": "search_example"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": true,
                  "properties": {
                    "advanced_settings": {
                      "additionalProperties": true,
                      "type": "object"
                    },
                    "mode": {
                      "enum": [
                        "turbo",
                        "fast",
                        "basic",
                        "advanced"
                      ],
                      "type": "string"
                    },
                    "objective": {
                      "type": "string"
                    },
                    "search_queries": {
                      "items": {
                        "type": "string"
                      },
                      "type": "array"
                    }
                  },
                  "required": [
                    "search_queries"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "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": "2026-10-28T01:15:16.566Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-28T01:15:16.364Z"
    },
    "resource": "https://search.gedx402.com/v1/parallel/search",
    "serviceName": "GEDX402 Search",
    "tags": [
      "open-web",
      "search",
      "search-lite",
      "serp",
      "tavily"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Parallel web search built for agents: give a goal and keyword queries, get ranked pages with relevant excerpts. POST { objective?, search_queries: [\"...\"], mode? }. mode turbo or fast is quicker; basic, advanced or no mode searches deeper. Ten results are included, and advanced_settings.max_results can go up to 20. https://docs.parallel.ai/api-reference/search/search $0.040 USDC per request. Agent search: parallel, parallel web search, objective search, excerpts, deep research."
}

What the leaf hashes

{"body":"49c1fa08e7c2e1077d4e3beafda8eecb40e3617d2a9c93a9ae48a2ecbc55b1be","id":751100,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793178704167208,"prev":null,"subject":"x402_bazaar:https://search.gedx402.com/v1/parallel/search","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (231336 rows).

  1. 0x8f9fefe975a94784da0cb96dad6b24c6ac2ecce3024703b794cb4b4dd277b923
  2. 0x16ebb4bc8cef84387f21bcb8f339dec6126cdfab07ae3f7391f6dc4a3fffe680
  3. 0x56838c882c227252a39c8791946d05048c00457b6c49f030488abdb7e225fb6c
  4. 0x3850f64a146891d67eeb2134b7411188b12ddc69c10a99be4ed8c5826cd75fa4
  5. 0xc00555d63238ebe093385e3600cac64719da8d1940787730e452062668cb73b9
  6. 0x27199e792be429a6086f8d7eabf4faf0c9579d2e1987d6ef16653bebfa80fa85
  7. 0xc1437afe887b923af6058ca08840f3fcfd4e7e4e30147d2c840edbbd78af938d
  8. 0xfa1c9204339447b20bd15c25d4be76fc6865b556646293b75a32ffd95ac1b781
  9. 0x0b0d6eae029c06a796f847ca4002aca6c084947fb2ec8ad12fd614e4a0a1c621
  10. 0xac6f5e6d350e0d05ed3585565fb0e2ccd227eaabcca73ce40c4ceb613358e43d
  11. 0xe5bda96f371c9a601912b527707c132ce40dfa832a85f5ab56904235a79b4c6c
  12. 0x7b0c5cabdc5cb3b796f2c10fe1e0fe947814d67a034f0fa630e562156fb3e98c
  13. 0xdbb215681a11fa9a73d4086f7e02f913b35a590ef20bcbcc46a343cbef08a9da
  14. 0x115e196b75a0422533397227b51b9c807591ec2574919c03800bb0d253f110e8
  15. 0xe2f9c120d14f36fdddf9b4e605c5d0b8a13b835e2380472255dc22e14b93e84e
  16. 0x74cf00e07b52415c2184cf20be69d195ed2725497a6892c2f3e449497c17d0ec
  17. 0x7a743a0a09057bae687051274e1d45bf973bd36a1a4ba16a191b5d29e3bdfa2a
  18. 0xe027395fafb7fc41921c42ca0542524ea22204cbd5908b70b27f3d5fb26f5d0f
Day root
0x2c19037464cc4c493624565f01775d6446fc78eaa118fc6865bfe2bfca9ff78e
Chained
0xd1d7dee8322ceff8f4c8d83aa1fe4a4466825c2af1c97dbde3d35db61234f7be
Published
On Arc Testnet, block 69584042: 0x8bae2b1d097834c8b458513862d70d29ee807e98dc2e863b27250131c15b35ae

How to check it · This row as JSON