Evidence row 1039971

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://falcon-comps.vercel.app/v1/gpu-comps"
    ]
  ],
  "name": "falcon.sol comps",
  "owner_address": "0xa30f3c68f2f6067ee5b9d5f651426e44ea8adae9",
  "raw": {
    "accepts": [
      {
        "amount": "40000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "CjNFTjvBhbJJd2B5ePPMHRLx1ELZpa8dwQgGL727eKww",
          "lastValidBlockHeight": "440594599",
          "recentBlockhash": "GSFNdfiv2vyZNx2etQMXNLuGxk5WhXNAo23ZTM478JBS"
        },
        "maxTimeoutSeconds": 120,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "HD1ryR3dYSXBVNGfJZydbpmnChiE1wrAQkupWWtHt4pM",
        "scheme": "exact"
      },
      {
        "amount": "40000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:8453",
        "payTo": "0xa30f3C68f2F6067EE5b9d5f651426E44Ea8AdAE9",
        "scheme": "exact"
      }
    ],
    "description": "falcon.sol: Use this when you need to price GPU compute or check whether a GPU quote is fair. Send GPU models (h100, h200, b200, a100, l40s ...); get listed USD per GPU-hour comps from RunPod, Modal, Lambda and CoreWeave public pricing pages: every offer with tier, terms, source URL and fetched_at, plus min/median/max, cheapest provider, on-demand median and your quote's percentile. Cached hourly; stale data is flagged. $0.04 USDC.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "gpus": [
                "h100",
                "h200"
              ],
              "target_usd_per_gpu_hr": 2.5
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "freshness": {
                "any_stale": false,
                "cache_ttl_minutes": 60,
                "oldest_source_age_minutes": 12
              },
              "generated_at": "2026-10-28T17:49:04Z",
              "gpus": [
                {
                  "gpu": "h100",
                  "offers": [
                    {
                      "fetched_at": "2026-10-28T17:37:00Z",
                      "provider": "runpod",
                      "sku": "H100 PCIe",
                      "source_url": "https://www.runpod.io/pricing",
                      "tier": "community_cloud",
                      "usd_per_gpu_hr": 1.99
                    }
                  ],
                  "summary": {
                    "cheapest": {
                      "provider": "runpod",
                      "sku": "H100 PCIe",
                      "tier": "community_cloud"
                    },
                    "max": 6.16,
                    "median": 3.95,
                    "min": 1.99,
                    "offers": 11,
                    "on_demand_median": 3.04,
                    "providers": 4
                  }
                }
              ],
              "sources": [
                {
                  "fetched_at": "2026-10-28T17:37:00Z",
                  "offers": 38,
                  "ok": true,
                  "provider": "runpod",
                  "stale": false,
                  "url": "https://www.runpod.io/pricing"
                }
              ],
              "unit": "USD per GPU-hour, listed (not transacted) prices"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "properties": {
                    "gpus": {
                      "description": "GPU models; default h100,h200,b200,a100-80gb,l40s. h100 matches SXM/PCIe/NVL.",
                      "items": {
                        "enum": [
                          "h100",
                          "h100-sxm",
                          "h100-pcie",
                          "h100-nvl",
                          "h200",
                          "b200",
                          "b300",
                          "gh200",
                          "a100",
                          "a100-80gb",
                          "a100-40gb",
                          "l40s",
                          "l40",
                          "l4",
                          "a10",
                          "t4",
                          "a40",
                          "rtx-pro-6000",
                          "rtx-6000-ada",
                          "rtx-a6000",
                          "rtx-a5000",
                          "rtx-4090",
                          "rtx-5090",
                          "rtx-3090"
                        ],
                        "type": "string"
                      },
                      "maxItems": 12,
                      "type": "array"
                    },
                    "target_usd_per_gpu_hr": {
                      "description": "Optional: your quoted price; returns its percentile vs the comps",
                      "type": "number"
                    },
                    "tiers": {
                      "description": "Optional filter, e.g. [\"community_cloud\",\"secure_cloud\",\"serverless\"] for on-demand only",
                      "items": {
                        "enum": [
                          "community_cloud",
                          "secure_cloud",
                          "serverless",
                          "on_demand_instance",
                          "cluster_committed"
                        ],
                        "type": "string"
                      },
                      "type": "array"
                    }
                  }
                },
                "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": "2026-10-28T18:00:44.223Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-28T18:00:44.055Z"
    },
    "resource": "https://falcon-comps.vercel.app/v1/gpu-comps",
    "serviceName": "falcon.sol comps",
    "tags": [
      "gpu",
      "compute",
      "cloud",
      "pricing",
      "h100"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "falcon.sol: Use this when you need to price GPU compute or check whether a GPU quote is fair. Send GPU models (h100, h200, b200, a100, l40s ...); get listed USD per GPU-hour comps from RunPod, Modal, Lambda and CoreWeave public pricing pages: every offer with tier, terms, source URL and fetched_at, plus min/median/max, cheapest provider, on-demand median and your quote's percentile. Cached hourly; stale data is flagged. $0.04 USDC."
}

What the leaf hashes

{"body":"86c27da9da325997758d39a2addc153a8b2ef8c0f1176bac2f3512ba7ad47b8b","id":1039971,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793298478234789,"prev":null,"subject":"x402_bazaar:https://falcon-comps.vercel.app/v1/gpu-comps","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-29 (242798 rows).

1. 0x031a6711423e4221ab8e1eb5cb5e68f3c1443dbdefbbccef28e0e21095c356f8
2. 0x8307dff6dbba7419eb4306f0563284bca983f2b1fde1f327045b420691657d63
3. 0xfb6d025065f5bb324bb174631f5f46655a65b16592be947419c7642b9cb62ccc
4. 0x8d728a028056fde6a73d441bc98b9f3e3c33f688fccc5438fa2f94b923132e22
5. 0x61d74a35673f5fa59f4b9a0f1ee51e2a6f9c94919803308da1da5e7652f90099
6. 0x68bc3804f1b75a746f1718ed4dbda9acc1bcdf6d16f12f71fd9e71c3980262b5
7. 0x7ee89df12f664cf32d3a2453c41c781e5ace55e4a3a0eb72d40611f04f2a18e8
8. 0xe97ba41de1576ab4f490565f4eeaaf2296f45d8a4798d4d31b8b220478515571
9. 0x6711283e0b74f1dba1f3362a27676179e727c450d2a0621238606702e4efc1f8
10. 0x4bc404304c562d5976fc8b9812e93bd37d44cbf4fdcf9d6e018bf5ab96c8dbdd
11. 0x34b815b7061265c8fc788237d4ebbade20296ffdc8f053ae653dba5fa105b134
12. 0x972302c3c856beb9aef759ec688a36820a18e662cda86d749e333afc5a931060
13. 0x7053e3ab64151de697839645aafd596f413959d0f717ebc500f3fb5da9da55b9
14. 0x7806c5d294aa520a3cdaf5e1d58181e6315b37856d332d91c3a1e53dff27254d
15. 0x0507b989510de89f78184f7a10d971f7670a579c54df7d291a2d72f034ae74d3
16. 0xa0a7723889a4c15b3e0bec353fa8dbcaec6c71cf35bb6c346415ad3e664df6a6
17. 0xd76435ead496863d8b0bfab3434f54cd11da3c49d104fc4064b9cb3381567bbd
18. 0xd56e61af23709ed9f460471e3c08400c0142ee83e1fd9057e46350d12edf9c07

Day root

0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c

Chained

0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6

Published

On Arc Testnet, block 69753317: 0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1