Evidence row 122595

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://tensorfeed.ai/api/premium/ai-cves/ai-stack-cves"
    ]
  ],
  "name": "tensorfeed.ai/api/premium/ai-cves/ai-stack-cves",
  "owner_address": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
  "raw": {
    "accepts": [
      {
        "amount": "20000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "resource": "https://tensorfeed.ai/api/premium/ai-cves/ai-stack-cves",
          "version": "2"
        },
        "maxTimeoutSeconds": 60,
        "network": "eip155:8453",
        "payTo": "0x549c82e6bfc54bdae9a2073744cbc2af5d1fc6d1",
        "resource": "https://tensorfeed.ai/api/premium/ai-cves/ai-stack-cves",
        "scheme": "exact"
      }
    ],
    "description": "AI-stack CVE intelligence. Filters fresh security disclosures to vendors and products in the AI inference, agent framework, training, vector DB, model gateway, and MCP tool layers. Each paper carries a tf_ai_category tag and a severity_rank, sorted with exploited-in-wild and critical-severity first. 99.8% of underlying data is from GitHub Security Advisories (CC BY 4.0).",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryFields": {},
            "queryParams": {},
            "type": "http"
          },
          "output": {
            "example": {
              "batch_id": "20260524-195226",
              "extracted_at": "2026-05-24T19:52:26Z",
              "papers": [
                {
                  "affected_products": [
                    "Next.js"
                  ],
                  "affected_version_ranges": [],
                  "cve_ids": [
                    "CVE-2026-44580"
                  ],
                  "exploited_in_wild": "stated_yes",
                  "fixed_versions": [
                    "v15.5.16",
                    "v16.2.5"
                  ],
                  "severity_label": "high",
                  "severity_rank": 3,
                  "source_url": "https://github.com/advisories/GHSA-gx5p-jg67-6x7h",
                  "tf_ai_category": "agent-framework"
                }
              ],
              "source_attribution": "GitHub Advisory Database (github.com/advisories) + vendor advisories",
              "source_license": "CC BY 4.0",
              "total": 42
            },
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                  "type": "string"
                },
                "papers": {
                  "items": {
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                      },
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                          "type": "string"
                        },
                        "type": "array"
                      },
                      "exploited_in_wild": {
                        "example": "stated_yes",
                        "type": "string"
                      },
                      "fixed_versions": {
                        "items": {
                          "example": "v15.5.16",
                          "type": "string"
                        },
                        "type": "array"
                      },
                      "severity_label": {
                        "example": "high",
                        "type": "string"
                      },
                      "severity_rank": {
                        "example": 3,
                        "type": "integer"
                      },
                      "source_url": {
                        "example": "https://github.com/advisories/GHSA-gx5p-jg67-6x7h",
                        "type": "string"
                      },
                      "tf_ai_category": {
                        "example": "agent-framework",
                        "type": "string"
                      }
                    },
                    "type": "object"
                  },
                  "type": "array"
                },
                "source_attribution": {
                  "example": "GitHub Advisory Database (github.com/advisories) + vendor advisories",
                  "type": "string"
                },
                "source_license": {
                  "example": "CC BY 4.0",
                  "type": "string"
                },
                "total": {
                  "example": 42,
                  "type": "integer"
                }
              },
              "type": "object"
            },
            "type": "json"
          }
        },
        "schema": {
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "additionalProperties": false,
                  "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"
        }
      }
    },
    "lastUpdated": "2026-05-25T23:12:18.292Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-08T05:37:51.635Z"
    },
    "resource": "https://tensorfeed.ai/api/premium/ai-cves/ai-stack-cves",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "AI-stack CVE intelligence. Filters fresh security disclosures to vendors and products in the AI inference, agent framework, training, vector DB, model gateway, and MCP tool layers. Each paper carries a tf_ai_category tag and a severity_rank, sorted with exploited-in-wild and critical-severity first. 99.8% of underlying data is from GitHub Security Advisories (CC BY 4.0)."
}

What the leaf hashes

{"body":"ad76659324edb418f5637adda40b4ded689dffcefd3bb1858481e0ab281f7f02","id":122595,"kind":"listing","method":"baseline/1","observed_us":1793025621806639,"prev":null,"subject":"x402_bazaar:https://tensorfeed.ai/api/premium/ai-cves/ai-stack-cves","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0x4809ddb41e81e368f54ed8314f6db63c0496873e2a66576ad66feb039789bc15
2. 0x58deec1a5117f5aaa5ac9cb24149e4d45fbf763b341eabf9a2f094c633697744
3. 0x1cd45c48c19b80f8bc04246baba1d9a0c06016dfd78f3a5926201945960384d3
4. 0x7f1beeefbd8e94d0e65687fd0149185a356ace87b2a0c1017ec158b505b27667
5. 0x94f30c59a00531a1fe084bbe510ae573c5988381ba56f9c5fcbc50291413a66c
6. 0x989f1dd5e67724f32857c9c1cdd13933606d122e49e86ebdcc131657f2ee3483
7. 0x41dc8baefdce8d32f24b2b799da05649d24e7457f93c6a46475d033afc9fe662
8. 0x09243960b6fb12adb2b9777ec865051f709d8597268e76d6e6be2ed517bd4a28
9. 0x05b1039a17106fb29c4d401d351479266f6fc8430163a1241003f014cab63ef1
10. 0xf4b95fd1e38a0e446e53bae758e7de53bd44782a0b605a04a7f0a7164ac1df79
11. 0x698f6ba6ffdd19057a2337a8eb71a612a58ea57160b0993c65313b7a3f2a2956
12. 0xae3550e71ca4b0f0b86c9905b234388d6bc01a22e52324fb1ee62a553273a1fe
13. 0xb86fa861d04737cb507e721eefbb066d26528fdb6017b1145c18d1223b93ee21
14. 0x88e326a39b26e2c125306c9d3805d14398ace088bba9a2a0aa376b811cfb201a
15. 0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae