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Evidence row 574433

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint fa0682c0-1276-4280-949e-7c648c8f28f3
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
59901c061cd25b545f87d6f7141ed5322901c70181dc3dc1570f8f46459232e2
Leaf
0xb26ca65c281e24fed1e9d1ce827562538e3d089547e434517444aef99f7196f2

What was observed

{
  "count": 9,
  "tools": [
    {
      "description": "Enterprise Change Report\n\nPricing: {\"unit\": \"credits\", \"options\": [{\"chapter_name\": \"License\", \"per_run\": 1518}, {\"chapter_name\": \"GovRel\", \"per_run\": 1419}, {\"chapter_name\": \"R&D\", \"per_run\": 1749}, {\"chapter_name\": \"Reputation\", \"per_run\": 8481}, {\"chapter_name\": \"Ops\", \"per_run\": 1749}, {\"chapter_name\": \"GeneralRisks\", \"per_run\": 1617}, {\"chapter_name\": \"Profile\", \"per_run\": 1749}, {\"chapter_name\": \"Cost\", \"per_run\": 1386}, {\"chapter_name\": \"Compliance\", \"per_run\": 1419}, {\"chapter_name\": \"Competition\", \"per_run\": 1452}, {\"chapter_name\": \"Brand\", \"per_run\": 3168}, {\"chapter_name\": \"HR\", \"per_run\": 1419}, {\"chapter_name\": \"ALL\", \"per_run\": 26400}]}",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "chapter_name": {
            "default": "ALL",
            "description": "Exception domain chapter to generate. Omit or use ALL for the full corporate exception report.",
            "enum": [
              "ALL",
              "Profile",
              "License",
              "GovRel",
              "R&D",
              "Reputation",
              "Ops",
              "GeneralRisks",
              "Cost",
              "Compliance",
              "Competition",
              "Brand",
              "HR"
            ],
            "type": "string"
          },
          "pid": {
            "description": "Internal company ID for the target enterprise, obtained from the search_company_candidates MCP tool (e.g. a77828f060c866441f2403384b271e63 for Tesla, Inc.).",
            "type": "string"
          }
        },
        "required": [
          "pid"
        ],
        "type": "object"
      },
      "name": "corporate_exception_report"
    },
    {
      "description": "Generates comprehensive supplier due diligence reports using global enterprise data, benchmarking ownership, legal, and financial risk for compliance and procurement decisions.\n\nPricing: {\"unit\": \"credits\", \"options\": [{\"chapter_name\": \"Company Registration Information\", \"per_run\": 1518}, {\"chapter_name\": \"Branch Offices\", \"per_run\": 1650}, {\"chapter_name\": \"Corporate Brand Initiatives\", \"per_run\": 2079}, {\"chapter_name\": \"Administrative Sanctions\", \"per_run\": 1485}, {\"chapter_name\": \"Software Copyright Details\", \"per_run\": 1551}, {\"chapter_name\": \"Outbound Investments\", \"per_run\": 1650}, {\"chapter_name\": \"Financing Activities\", \"per_run\": 1452}, {\"chapter_name\": \"Competitor Analysis\", \"per_run\": 1485}, {\"chapter_name\": \"Subsidiary Companies\", \"per_run\": 1848}, {\"chapter_name\": \"Trademark Portfolio\", \"per_run\": 4059}, {\"chapter_name\": \"Patent Holdings\", \"per_run\": 12045}, {\"chapter_name\": \"Website Registrations\", \"per_run\": 1419}, {\"chapter_name\": \"Court Judgments\", \"per_run\": 1584}, {\"chapter_name\": \"Shareholder Structure\", \"per_run\": 1386}, {\"chapter_name\": \"Senior Management Team\", \"per_run\": 1452}, {\"chapter_name\": \"Administrative Permits\", \"per_run\": 1749}, {\"chapter_name\": \"Court Hearing Notices\", \"per_run\": 3696}, {\"chapter_name\": \"Court Notices\", \"per_run\": 3597}, {\"chapter_name\": \"Equity Pledges\", \"per_run\": 1419}, {\"chapter_name\": \"Mobile Applications\", \"per_run\": 1386}, {\"chapter_name\": \"Copyrighted Works\", \"per_run\": 1749}, {\"chapter_name\": \"Equity Freezes\", \"per_run\": 1419}, {\"chapter_name\": \"Chattel Mortgages\", \"per_run\": 1419}, {\"chapter_name\": \"WeChat Official Accounts\", \"per_run\": 1386}, {\"chapter_name\": \"Tendering and Bidding Activities\", \"per_run\": 2145}, {\"chapter_name\": \"Qualification Certificates\", \"per_run\": 2310}, {\"chapter_name\": \"Engineering Irregularities\", \"per_run\": 1419}, {\"chapter_name\": \"Major Regulatory Violations\", \"per_run\": 1452}, {\"chapter_name\": \"Compensation and Benefits\", \"per_run\": 1386}, {\"chapter_name\": \"Enforcement Targets\", \"per_run\": 1452}, {\"chapter_name\": \"Supplier Network\", \"per_run\": 1584}, {\"chapter_name\": \"Credit Ratings\", \"per_run\": 1419}, {\"chapter_name\": \"Tax Offenses\", \"per_run\": 1419}, {\"chapter_name\": \"Regulatory Spot Checks\", \"per_run\": 1485}, {\"chapter_name\": \"Import-Export Credit Records\", \"per_run\": 1386}, {\"chapter_name\": \"Regulatory Actions\", \"per_run\": 1617}, {\"chapter_name\": \"Granted Government Subsidies\", \"per_run\": 1551}, {\"chapter_name\": \"Eligible Government Subsidies\", \"per_run\": 1584}, {\"chapter_name\": \"Consolidated Statements of Operations\", \"per_run\": 1749}, {\"chapter_name\": \"Income Statement\", \"per_run\": 1947}, {\"chapter_name\": \"Statement of Cash Flows\", \"per_run\": 2442}, {\"chapter_name\": \"Consolidated Balance Sheets\", \"per_run\": 2145}, {\"chapter_name\": \"ALL\", \"per_run\": 26400}]}",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "chapter_name": {
            "default": "ALL",
            "description": "Report chapter to generate. Omit or use ALL for the full due diligence report.",
            "enum": [
              "ALL",
              "Company Registration Information",
              "Branch Offices",
              "Corporate Brand Initiatives",
              "Administrative Sanctions",
              "Software Copyright Details",
              "Outbound Investments",
              "Financing Activities",
              "Competitor Analysis",
              "Subsidiary Companies",
              "Trademark Portfolio",
              "Patent Holdings",
              "Website Registrations",
              "Court Judgments",
              "Shareholder Structure",
              "Senior Management Team",
              "Administrative Permits",
              "Court Hearing Notices",
              "Court Notices",
              "Equity Pledges",
              "Mobile Applications",
              "Copyrighted Works",
              "Equity Freezes",
              "Chattel Mortgages",
              "WeChat Official Accounts",
              "Tendering and Bidding Activities",
              "Qualification Certificates",
              "Engineering Irregularities",
              "Major Regulatory Violations",
              "Compensation and Benefits",
              "Enforcement Targets",
              "Supplier Network",
              "Credit Ratings",
              "Tax Offenses",
              "Regulatory Spot Checks",
              "Import-Export Credit Records",
              "Regulatory Actions",
              "Granted Government Subsidies",
              "Eligible Government Subsidies",
              "Consolidated Statements of Operations",
              "Income Statement",
              "Statement of Cash Flows",
              "Consolidated Balance Sheets"
            ],
            "type": "string"
          },
          "pid": {
            "description": "Internal company ID for the target enterprise, obtained from the search_company_candidates MCP tool (e.g. a77828f060c866441f2403384b271e63 for Tesla, Inc.).",
            "type": "string"
          }
        },
        "required": [
          "pid"
        ],
        "type": "object"
      },
      "name": "due_diligence_report"
    },
    {
      "description": "Search company candidates by company name, optionally filtered by country or region, and return possible matching records with mapped company IDs for caller-side selection.\n\nPricing: {\"unit\": \"credits\", \"billing_model\": \"per_run\", \"per_run\": 1}",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "text": {
            "description": "Company name with optional country or region. The input should contain a company name, and may optionally include its country or region (e.g. 'Tesla United States', 'Samsung South Korea', 'Huawei China').",
            "type": "string"
          }
        },
        "required": [
          "text"
        ],
        "type": "object"
      },
      "name": "search_company_candidates"
    },
    {
      "description": "Resolves natural-language country or region names (including aliases and abbreviations) against SupplyGraph’s internal geography registry and returns a list of standardized region names for downstream agent and MCP tool consumption.\n\nPricing: {\"unit\": \"credits\", \"billing_model\": \"per_run\", \"per_run\": 1}",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "text": {
            "description": "Country or region name in natural language, including aliases and abbreviations (e.g. 'China', 'USA', 'South Korea', 'Hong Kong', '中国', '美国'). The tool searches the internal geography registry and returns standardized matching region names for caller-side selection.",
            "type": "string"
          }
        },
        "required": [
          "text"
        ],
        "type": "object"
      },
      "name": "search_region_candidates"
    },
    {
      "description": "Analyzes multi-tier supply chains to detect single-country concentration and quantify geographic dependency across regions.\n\nPricing: {\"unit\": \"credits\", \"per_run\": 264590}",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "pid": {
            "description": "Internal company ID for the target enterprise, obtained from the search_company_candidates MCP tool (e.g. a77828f060c866441f2403384b271e63 for Tesla, Inc.).",
            "type": "string"
          },
          "region_name": {
            "description": "Standardized country or region name for geographic concentration analysis, obtained from the search_region_candidates MCP tool (e.g. China, United States, Hong Kong).",
            "type": "string"
          }
        },
        "required": [
          "pid",
          "region_name"
        ],
        "type": "object"
      },
      "name": "sg_chokepoint"
    },
    {
      "description": "Generates global multi-tier supply-chain graphs providing full visibility into enterprise and product dependencies.\n\nPricing: {\"unit\": \"credits\", \"per_run\": 264590}",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "pid": {
            "description": "Internal company ID for the target enterprise, obtained from the search_company_candidates MCP tool (e.g. a77828f060c866441f2403384b271e63 for Tesla, Inc.).",
            "type": "string"
          }
        },
        "required": [
          "pid"
        ],
        "type": "object"
      },
      "name": "sg_visualization"
    },
    {
      "description": "Continuously monitors global supply chain risk events and evaluates whether, how, and to what extent those events may affect a target company.\n\nPricing: {\"unit\": \"credits\", \"per_run\": 264590}",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "event_info": {
            "additionalProperties": false,
            "description": "Evaluates how a supply chain risk event may affect a target company through multi-tier supply chain propagation analysis.",
            "properties": {
              "analysis_mode": {
                "description": "Analysis mode. normal performs current risk assessment; backtest evaluates historical scenarios.",
                "enum": [
                  "normal",
                  "backtest"
                ],
                "type": "string"
              },
              "commodity_name": {
                "description": "Commodity name. Required for commodity_price events.",
                "type": "string"
              },
              "commodity_price_series": {
                "description": "Historical commodity price series. Required for commodity_price events. Must contain at least 90 calendar days.",
                "items": {
                  "additionalProperties": false,
                  "properties": {
                    "date": {
                      "description": "Price date in YYYY-MM-DD format.",
                      "type": "string"
                    },
                    "value": {
                      "description": "Commodity price value.",
                      "type": "number"
                    }
                  },
                  "required": [
                    "date",
                    "value"
                  ],
                  "type": "object"
                },
                "type": "array"
              },
              "commodity_unit": {
                "description": "Commodity price unit. Required for commodity_price events.",
                "type": "string"
              },
              "company_id": {
                "description": "Internal company ID for the target enterprise, obtained from the search_company_candidates MCP tool (e.g. a77828f060c866441f2403384b271e63 for Tesla, Inc.).",
                "type": "string"
              },
              "content": {
                "description": "Detailed event content. Required for news and policy events.",
                "type": "string"
              },
              "event_type": {
                "description": "Type of supply chain risk event.",
                "enum": [
                  "news",
                  "policy",
                  "commodity_price"
                ],
                "type": "string"
              },
              "pub_date": {
                "description": "Event publication time in RFC3339 format. Required for news and policy events.",
                "type": "string"
              },
              "role": {
                "description": "Optional role-specific interpretation mode.",
                "enum": [
                  "ceo",
                  "hedgefund",
                  "riskexpert"
                ],
                "type": "string"
              },
              "target_date": {
                "description": "Target analysis date in YYYY-MM-DD format. Required for commodity_price events.",
                "type": "string"
              },
              "target_price": {
                "description": "Commodity price on target_date. Required for commodity_price events.",
                "type": "number"
              },
              "title": {
                "description": "Event title. Required for news and policy events.",
                "type": "string"
              }
            },
            "required": [
              "company_id",
              "event_type",
              "analysis_mode"
            ],
            "type": "object"
          }
        },
        "required": [
          "event_info"
        ],
        "type": "object"
      },
      "name": "supply_chain_risk_prediction"
    },
    {
      "description": "Calculates U.S. customs duties by combining HTS base rates with applicable Chapter 99 measures, providing transparent, rule-based tariff outcomes.\n\nPricing: {\"unit\": \"credits\", \"per_run\": 10}",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country_or_region": {
            "description": "Country or region of origin for the imported product, e.g. China, Mexico, European Union.",
            "type": "string"
          },
          "product_description": {
            "description": "Description of the product to import into the United States, e.g. HS code, product name, material, or specifications.",
            "type": "string"
          }
        },
        "required": [
          "product_description",
          "country_or_region"
        ],
        "type": "object"
      },
      "name": "tariff_calc"
    },
    {
      "description": "Classifies products into correct HTS codes from text or documents, automating tariff lookup and ensuring customs compliance in real time.\n\nPricing: {\"unit\": \"credits\", \"per_run\": 2}",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "product_description": {
            "description": "Description of the product used to identify HS/HTS codes.",
            "type": "string"
          }
        },
        "required": [
          "product_description"
        ],
        "type": "object"
      },
      "name": "tariff_classification"
    }
  ]
}

What the leaf hashes

{"body":"59901c061cd25b545f87d6f7141ed5322901c70181dc3dc1570f8f46459232e2","id":574433,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793141527504092,"prev":null,"subject":"fa0682c0-1276-4280-949e-7c648c8f28f3","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).

  1. 0xb26c9c8e958297cc1b6f5660b1738a901db3e429004a8873d821ff4ee82bced7
  2. 0xaf806dfd9416da9f785b5d59ac07d82142c3e2f8f61e4e28893e5e30520571e7
  3. 0x3927bac8f3590f76f68507f5a9dbca1fff50f24b6f97dc0001003f8140c4436d
  4. 0xbf7a47a9d07705c1cce79ea25320ecc71a30b293314ae2939d55fa0e5fff856f
  5. 0xfb2275fd4da785f60b86572a722088ec04ef91f6e18328eceba2ab6888c43a3d
  6. 0xde273f7b152879e4ebcb07e1dd919453a9e5709b2414c99d46fa35832ff28fa8
  7. 0x4e76e411828fc90642a022bf9fa3b149acc10dc0a33ffa984a0d45a61705bdff
  8. 0x0254f26d74318f731a67708b6ba16ebf95ddd9e4d2a60c42a0b4c54229872356
  9. 0x7fc53edea4f8e9a031ada4587f0cdec520776a8c224164509b9da8cf9f135212
  10. 0x30919d660b58eb0576eb8e2cdb81ab3e778f2eecee390bd769d1f5f96dec14db
  11. 0x79cc7c9e2b6a0102e533effc5e9ae587186511d05cd4a98fa3783728f21ee868
  12. 0x2d136d228d8bf54a46835cf3532884988271b7ca1e85edf2327300bd225d178e
  13. 0xf1104ea7df082465ff9df25ed29be80a0ac7c1c6b25c289b5d2e6ae5e6331952
  14. 0x87cb8935612c40b569de008a9bf8218cd24a06f74a7364a1654613d972fe00ed
  15. 0xec7bb68216a4deb1960acfbbd75da88f7e468b58adb9cf3ec62f2790e46508b3
  16. 0x64c405a28e8819716221eb2529fe4ce277ab08025e17e685cbd5ece75ceb75c7
  17. 0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66
  18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON