Evidence row 236523

What was observed

{
  "count": 15,
  "tools": [
    {
      "description": "Return where one area sits statistically within its own level.\n\n    Places an area against its peer group (all areas at the same level in\n    the latest snapshot): its percentile, the distance from its composite\n    score to the level median, best and worst, and the handful of areas\n    nearest to it by score. Useful for answering \"is this area typical, or\n    an outlier?\".\n\n    Read-only, area-level aggregates only, no personal data.\n    ",
      "inputSchema": {
        "properties": {
          "area": {
            "description": "An ISO-3166 alpha-3 country code (e.g. 'NLD') or an area code of an EU NUTS-2 region or Dutch municipality (e.g. 'NL32', 'GM0363'). Case-insensitive.",
            "title": "Area",
            "type": "string"
          }
        },
        "required": [
          "area"
        ],
        "title": "area_statisticsArguments",
        "type": "object"
      },
      "name": "area_statistics"
    },
    {
      "description": "Compare the composite score and rank of several countries.\n\n    ``iso3_list`` is a list of ISO-3166 alpha-3 country codes.\n    ",
      "inputSchema": {
        "properties": {
          "iso3_list": {
            "description": "List of ISO-3166 alpha-3 country codes to compare side by side, e.g. ['NLD', 'DEU', 'FRA']. Case-insensitive.",
            "items": {
              "type": "string"
            },
            "title": "Iso3 List",
            "type": "array"
          }
        },
        "required": [
          "iso3_list"
        ],
        "title": "compare_countriesArguments",
        "type": "object"
      },
      "name": "compare_countries"
    },
    {
      "description": "Compare the social-domain profile of several Dutch municipalities.\n\n    Given two to six CBS GM-codes, returns a side-by-side comparison of their\n    four v1 social-domain indicators plus composite score and rank. Useful\n    for an agent answering \"how does municipality A compare to B on the\n    social domain\".\n\n    Read-only, no personal data. wmo_pressure and youth_care_load are context\n    only — shown but never scored. CBS aggregates describe an area, not its\n    quality. Netherlands-only.\n    ",
      "inputSchema": {
        "properties": {
          "region_codes": {
            "description": "Two to six CBS GM-codes of Dutch municipalities, comma-separated, e.g. 'GM0363,GM0599,GM0518'. Case-insensitive.",
            "title": "Region Codes",
            "type": "string"
          }
        },
        "required": [
          "region_codes"
        ],
        "title": "compare_gemeentenArguments",
        "type": "object"
      },
      "name": "compare_gemeenten"
    },
    {
      "description": "Return one country's score, rank and per-indicator breakdown.",
      "inputSchema": {
        "properties": {
          "iso3": {
            "description": "ISO-3166 alpha-3 country code, e.g. 'NLD' for the Netherlands. Case-insensitive.",
            "title": "Iso3",
            "type": "string"
          }
        },
        "required": [
          "iso3"
        ],
        "title": "country_detailArguments",
        "type": "object"
      },
      "name": "country_detail"
    },
    {
      "description": "Return the single highest-impact improvement for one country.\n\n    The Cracks Index names, alongside each country's score, the one change\n    most associated with the fastest improvement, turning a ranking into a\n    constructive, actionable signal. Read-only, no personal data.\n    ",
      "inputSchema": {
        "properties": {
          "iso3": {
            "description": "ISO-3166 alpha-3 country code, e.g. 'NLD' for the Netherlands. Case-insensitive.",
            "title": "Iso3",
            "type": "string"
          }
        },
        "required": [
          "iso3"
        ],
        "title": "country_fixArguments",
        "type": "object"
      },
      "name": "country_fix"
    },
    {
      "description": "Return the Dutch social-domain profile for one municipality.\n\n    Given a CBS GM-code, returns that municipality's four v1 social-domain\n    indicators — social-assistance receipt, modelled homelessness, Wmo use\n    and youth-care use — each with its raw value, source and whether it was\n    measured or modelled. The composite score and rank are included for\n    context, alongside the v0-equivalent score.\n\n    Read-only, no personal data. wmo_pressure and youth_care_load are context\n    only — never folded into the score. CBS aggregates describe an area, not\n    its quality. Netherlands-only: the deeper municipal layer exists for\n    Dutch municipalities.\n    ",
      "inputSchema": {
        "properties": {
          "region_code": {
            "description": "CBS GM-code of a Dutch municipality, e.g. 'GM0363' (Amsterdam) or 'GM0599' (Rotterdam). Case-insensitive.",
            "title": "Region Code",
            "type": "string"
          }
        },
        "required": [
          "region_code"
        ],
        "title": "gemeente_social_profileArguments",
        "type": "object"
      },
      "name": "gemeente_social_profile"
    },
    {
      "description": "Return the full country ranking for the latest published snapshot.",
      "inputSchema": {
        "properties": {},
        "title": "get_cracks_indexArguments",
        "type": "object"
      },
      "name": "get_cracks_index"
    },
    {
      "description": "List sub-national areas in the Cracks Index, ranked within their level.\n\n    The index covers sub-national areas as well as countries: EU regions\n    (NUTS-2) and Dutch municipalities. This tool returns those areas with\n    their composite score and rank.\n\n    Parameters\n    ----------\n    level : optional\n        Filter by area level: ``nuts2`` (EU regions) or ``gemeente`` (Dutch\n        municipalities). Omit to return all sub-national areas.\n    country_iso3 : optional\n        ISO-3166 alpha-3 country code to restrict the list to one country's\n        areas (e.g. ``NLD``).\n    limit : optional\n        Maximum number of areas to return (1-1000, default 200).\n\n    Read-only, no personal data. Ranks are within the area's own level.\n    ",
      "inputSchema": {
        "properties": {
          "country_iso3": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "description": "Optional ISO-3166 alpha-3 country code to restrict the result to one country's areas, e.g. 'NLD'.",
            "title": "Country Iso3"
          },
          "level": {
            "anyOf": [
              {
                "type": "string"
              },
              {
                "type": "null"
              }
            ],
            "default": null,
            "description": "Filter by area level: 'nuts2' for EU NUTS-2 regions or 'municipality' for Dutch municipalities. Omit to include all levels.",
            "title": "Level"
          },
          "limit": {
            "default": 200,
            "description": "Maximum number of areas to return (default 200).",
            "maximum": 1000,
            "minimum": 1,
            "title": "Limit",
            "type": "integer"
          }
        },
        "title": "get_regionsArguments",
        "type": "object"
      },
      "name": "get_regions"
    },
    {
      "description": "Return constructive improvement guidance for one area.\n\n    Given an area identifier — an ISO-3166 alpha-3 country code, an EU\n    NUTS-2 region code or a Dutch municipality CBS GM-code — returns that\n    area's highest-impact improvement lever from the Cracks Index, together\n    with Fynqo's approach to earlier, joined-up coordination and a link to\n    the public \"claim your score\" page where an organisation can request a\n    deeper local report.\n\n    Read-only, no personal data. The lever is framed as \"the change most\n    associated with improvement\". It is general, aggregated guidance, not\n    policy, medical, legal or financial advice, and carries no promise of a\n    guaranteed score gain (sales-engine §3.4, §5).\n    ",
      "inputSchema": {
        "properties": {
          "area": {
            "description": "An ISO-3166 alpha-3 country code (e.g. 'NLD') or an area code of an EU NUTS-2 region or Dutch municipality (e.g. 'NL32', 'GM0363'). Case-insensitive.",
            "title": "Area",
            "type": "string"
          }
        },
        "required": [
          "area"
        ],
        "title": "improvement_guidanceArguments",
        "type": "object"
      },
      "name": "improvement_guidance"
    },
    {
      "description": "Return pairwise correlations between the six indicators across areas.\n\n    Computes the Pearson correlation coefficient between every pair of the\n    six Cracks Index indicators, using each area's direction-corrected\n    normalised score. Adds a short plain-language note naming the strongest\n    relationship. A coefficient near +1 means areas that do well on one\n    indicator tend to do well on the other; near -1 means the opposite.\n\n    Read-only, area-level aggregates only, no personal data.\n    ",
      "inputSchema": {
        "properties": {
          "level": {
            "default": "country",
            "description": "Area level to correlate over: 'country', 'nuts2' (EU regions) or 'gemeente' (Dutch municipalities). Defaults to 'country'.",
            "title": "Level",
            "type": "string"
          }
        },
        "title": "indicator_correlationsArguments",
        "type": "object"
      },
      "name": "indicator_correlations"
    },
    {
      "description": "Rank all areas by a single chosen indicator.\n\n    Returns every area's value for one indicator, ordered best-first by the\n    direction-corrected ``normalized_score`` (a higher normalised score\n    always means fewer cracks on that indicator). The raw value and unit are\n    included so the figure can be quoted directly.\n\n    Read-only, area-level aggregates only, no personal data.\n    ",
      "inputSchema": {
        "properties": {
          "indicator_key": {
            "description": "One of the six Cracks Index indicators: 'problem_debt', 'eviction_rate', 'mh_treatment_gap', 'youth_care_unmet', 'food_insecurity' or 'material_deprivation'. See the 'methodology' tool for definitions.",
            "title": "Indicator Key",
            "type": "string"
          },
          "level": {
            "default": "country",
            "description": "Area level to rank: 'country', 'nuts2' (EU regions) or 'gemeente' (Dutch municipalities). Defaults to 'country'.",
            "title": "Level",
            "type": "string"
          },
          "limit": {
            "default": 200,
            "description": "Maximum number of areas to return (1-500, default 200).",
            "maximum": 500,
            "minimum": 1,
            "title": "Limit",
            "type": "integer"
          }
        },
        "required": [
          "indicator_key"
        ],
        "title": "indicator_rankingArguments",
        "type": "object"
      },
      "name": "indicator_ranking"
    },
    {
      "description": "Return the index methodology: indicators, weights, direction, sources.",
      "inputSchema": {
        "properties": {},
        "title": "methodologyArguments",
        "type": "object"
      },
      "name": "methodology"
    },
    {
      "description": "Return one sub-national area: score, rank, indicator breakdown and fix.\n\n    Given a region code (an EU NUTS-2 code or a Dutch municipality CBS\n    GM-code), returns that area's composite score, its rank within its own\n    level (regions rank against regions, municipalities against\n    municipalities), the per-indicator breakdown and the single highest-impact\n    improvement for the area.\n\n    Read-only, no personal data.\n    ",
      "inputSchema": {
        "properties": {
          "region_code": {
            "description": "Area code of an EU NUTS-2 region or Dutch municipality, e.g. 'NL32' (Noord-Holland) or 'GM0363' (Amsterdam). Case-insensitive.",
            "title": "Region Code",
            "type": "string"
          }
        },
        "required": [
          "region_code"
        ],
        "title": "region_detailArguments",
        "type": "object"
      },
      "name": "region_detail"
    },
    {
      "description": "Return one area's composite-score history across every snapshot.\n\n    Given an area identifier — an ISO-3166 alpha-3 country code, an EU\n    NUTS-2 region code or a Dutch municipality CBS GM-code — walks every\n    published Cracks Index snapshot and returns that area's composite score\n    and rank at each point in time, plus the net change from the first to\n    the most recent snapshot.\n\n    Read-only, area-level aggregates only, no personal data.\n    ",
      "inputSchema": {
        "properties": {
          "area": {
            "description": "An ISO-3166 alpha-3 country code (e.g. 'NLD') or an area code of an EU NUTS-2 region or Dutch municipality (e.g. 'NL32', 'GM0363'). Case-insensitive.",
            "title": "Area",
            "type": "string"
          }
        },
        "required": [
          "area"
        ],
        "title": "score_trendsArguments",
        "type": "object"
      },
      "name": "score_trends"
    },
    {
      "description": "Return the biggest risers and fallers between the two latest snapshots.\n\n    Compares every area's composite score in the most recent snapshot\n    against the snapshot before it and returns the areas that improved most\n    (``improvers`` — score fell) and worsened most (``decliners`` — score\n    rose). Needs at least two snapshots; returns an explanatory empty\n    payload otherwise.\n\n    Read-only, area-level aggregates only, no personal data.\n    ",
      "inputSchema": {
        "properties": {
          "level": {
            "default": "country",
            "description": "Area level to rank movers within: 'country', 'nuts2' (EU regions) or 'gemeente' (Dutch municipalities). Defaults to 'country'.",
            "title": "Level",
            "type": "string"
          },
          "limit": {
            "default": 5,
            "description": "How many risers and how many fallers to return each (1-50, default 5).",
            "maximum": 50,
            "minimum": 1,
            "title": "Limit",
            "type": "integer"
          }
        },
        "title": "top_moversArguments",
        "type": "object"
      },
      "name": "top_movers"
    }
  ]
}

What the leaf hashes

{"body":"412043bc9ef2fefc512c376ff7f78b06aa04565fcd77ddd9c9a79752790cae55","id":236523,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793028822564793,"prev":null,"subject":"4611ab5c-db9c-4d0e-a3e9-0f4d0fd8764f","subject_kind":"endpoint"}

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. 0xf8c59278ff7bcfd9142cb4c931ca3e61e17e970faad2b0d6659886c5390b3a08
2. 0x5fd12b47ff82c5ab5f5fa59786a9dce3f35606bcb3efd29eb7e7976e0e03f3f3
3. 0xdb575cf54e2c4b776c1d336433f1e3b688298ab7617e169b41a6a7ccf3e4c2af
4. 0x035115254a13b93d58e935c6b03f9bc0dce55351af6384a2a2b8e2979f671bbe
5. 0xc1214896bb54bcfefd8ba27eefe2fe4136e15df8afabc9e8bde644440db935d6
6. 0x9459acefdf0c4bfdc09e70a312eb1acfa3a04497b7731bad8fa41552ecc53056
7. 0xf81b29e1d28fa6bee57bf4291238de66635720f1f320b36fab5b51a99a99bd5b
8. 0xfdb8bfc9b3baeb35fbb9407f78d075a03338a4874ddf4374e02f2b3dc050ce10
9. 0x36ad1ccc6f0f85f7178fd2291af3458a7549013406068efc78bd68cdf34501cf
10. 0x921ec909afaac455249717b3fffa2561a28344c6c4dc7a3f57f7c3f136978f87
11. 0xe3be477672f672ad65922159dceef6444408759f2808a7a1e1ba87146cf5eee0
12. 0xf7eba200f6f1012d700fcc53fc6d57dcafd1019c920b1030d42fa21d4af95d94
13. 0x694eb701ea36a0e3dcde192253ab85a618738bdc1e3a6e582e6f8bf9647f7a6a
14. 0x44945ea9ad8b24e723ad5a8fd6d014024a49531783f74ff9229c2ab6930e84c8
15. 0x68d296b1e00b4899fb83c3fba36fffaefa311eac2903067dbebfe776a12b4a9a
16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae