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Evidence row 567190

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint ebe2f61e-4bb8-4bd2-bed9-46a41f8f1192
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
df24331ddb13d03b4b9f1570f89318d9f146f0a15060b93f0b06a1caa9ed7a6a
Leaf
0x682c7aa96c6659e4e2391d03f64506bfb3d1711888a2e2ce73ffb365398f3227

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Deterministisk screening af et AI-system/use-case mod EU AI Act: Annex III (høj-risiko-kategorier), Art 5 (forbudt praksis) og Art 50 (transparenssignaler). Regelbaseret nøgleordsscreening — ingen LLM. Output: vurdering, begrundelse, relevante artikler, frister og kildelinks. Generel information, ikke juridisk rådgivning. (Deterministic EU AI Act Annex III scope screening, Danish output.)",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "description": {
            "description": "Beskrivelse af AI-systemet eller use-casen (dansk eller engelsk)",
            "maxLength": 4000,
            "minLength": 10,
            "type": "string"
          },
          "purpose": {
            "description": "Valgfrit: formål med systemet",
            "maxLength": 500,
            "type": "string"
          },
          "sector": {
            "description": "Valgfrit: sektor, fx HR, fintech, energi",
            "maxLength": 200,
            "type": "string"
          }
        },
        "required": [
          "description"
        ],
        "type": "object"
      },
      "name": "ai_act_scope_check"
    },
    {
      "description": "Tjek hvilke EU AI Act Artikel 50-transparenskrav der rammer jeres AI-flader: chatbot/AI-assistent, AI-genereret indhold (tekst/billede/lyd/video), deepfake-risiko og emotion/biometri. Output: konkrete krav, frister (2026-08-02; Art 50(2)-watermarking-grace 2026-12-02 kun for legacy-systemer), tjekliste og kildelinks. Deterministisk, ingen LLM. (EU AI Act Article 50 transparency check, Danish output.)",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "ai_generated_content": {
            "description": "Typer af AI-genereret indhold I udgiver (tom hvis ingen)",
            "items": {
              "enum": [
                "tekst",
                "billede",
                "lyd",
                "video",
                "text",
                "image",
                "audio"
              ],
              "type": "string"
            },
            "maxItems": 8,
            "type": "array"
          },
          "chatbot": {
            "description": "Har I en chatbot/AI-assistent, der interagerer med brugere?",
            "type": "boolean"
          },
          "deepfake_risk": {
            "description": "Genererer/manipulerer I medieindhold, der kan fremstå ægte (deepfakes)?",
            "type": "boolean"
          },
          "emotion_or_biometric": {
            "description": "Kører I følelsesgenkendelse eller biometrisk kategorisering?",
            "type": "boolean"
          }
        },
        "required": [
          "chatbot"
        ],
        "type": "object"
      },
      "name": "art50_transparency_check"
    },
    {
      "description": "Slå verificerede EU AI Act/NIS2/Digital Omnibus-fakta op i PowerQuants kildedokumenterede faktabase (kun rækker med status=verified; hver med kilde-URL og verifikationsdato). Input: emne/nøgleord, fx 'art 50', 'omnibus', 'annex iii', 'nis2'. (Verified EU AI Act regulatory facts lookup.)",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "query": {
            "description": "Emne eller nøgleord at søge efter",
            "maxLength": 200,
            "minLength": 2,
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "eu_ai_act_facts"
    },
    {
      "description": "Verify a PowerQuant deliverable by sha256: signature, issue date, reviewer and whether a regulatory change since issue affects it. Input: the 64-hex sha256 from the document footer or the powerquant.dk/verify/<sha> link. Read-only, no personal data; unknown hash returns found:false. (Verificér en PowerQuant-leverance på sha256: signatur, udstedelsesdato, reviewer og om en regelændring siden udstedelsen påvirker den.)",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "sha": {
            "description": "sha256 of the deliverable — 64 hex characters, from the document footer or the /verify/<sha> link",
            "maxLength": 200,
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "sha"
        ],
        "type": "object"
      },
      "name": "verify_deliverable"
    }
  ]
}

What the leaf hashes

{"body":"df24331ddb13d03b4b9f1570f89318d9f146f0a15060b93f0b06a1caa9ed7a6a","id":567190,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793138631565121,"prev":null,"subject":"ebe2f61e-4bb8-4bd2-bed9-46a41f8f1192","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. 0x682c4593c3f5355a940328df7f5da9fe57a4f0395aa6b49386f911ee16ddad5e
  2. 0xd71fc44f8763bb88c55eb47ffdb5b93ee180b2951ff5e114f9184cf16544d8ac
  3. 0x7ad4242b8140d0b81ccbffd9cb10a8259fe5462dd12e20548c95d97302987ff9
  4. 0xd814662ff088ebbbdb601ca0da9c7d47cb341f3658774e93cc86bad40d3d774c
  5. 0xe846dab18b52a2298622b373324c0d20d7accbf8c3a9ca84c72a541c94e06613
  6. 0x63ba54f65923e829de983984983c2b51c29c533a2b207d9f14f8394640024ca7
  7. 0xedf20cee0e427ee32894ddc51a87b225de20f848e7992c6168706fbc3411a5e3
  8. 0x2e269a1543d0a2f72f38c5283f453b208822a2b3af07fb4d4e28130aaa69059a
  9. 0x2c8e21478ce0dbf03f08bae776978487cb43a7a8eaf23ae1a1ce25cda470cd6e
  10. 0xdf60cef688d372729c3bd0374d7f0df09dea956d2629aeb2b309b79f31695c18
  11. 0x3b2482479d5e8e62d596166a26d5feccca7716478708e2d2eb271e54277db5ce
  12. 0xff1b653b4de97259c183e79b75886676f24cb64cb6bbe1a90b1639f9b46e2c0b
  13. 0x927616fada4e04588c09f6e02e8f6e3a1351bac8355e394da3bd0bf249a5c503
  14. 0x3c5462812bd2f841e3d7deefc01555f18262fe5e0d5a7eb155330b7a7cb0388e
  15. 0x6f00f0da417f4126951ba8ba9b7962c847e91f5c61364ad9ad47e5f979698a60
  16. 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
  17. 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
  18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON