← The evidence ledger
Evidence row 223038
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 27f54a69-7591-4201-8e32-8a5d47602b47
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- fc6daf6d69f30f787bc8eb88bd8b00af53b4263c47bc1fe45d539c34ec1b204b
- Leaf
- 0xd6bdf40f6ff9ed863605411f46b462ee9d478209cf4c583f2876110bb1300f1a
What was observed
{
"count": 2,
"tools": [
{
"description": "Assesses whether a business is ready to be understood, verified, trusted, recommended, and used by AI systems, based on structured inputs (business size, data availability/maturity, technical stack/infrastructure, and goals). Returns a readiness score, tier, gap analysis, priority actions, and a phased implementation roadmap. Deterministic and read-only: it performs no consequential actions and does not guarantee any ranking or recommendation.",
"inputSchema": {
"properties": {
"businessName": {
"description": "Optional, non-sensitive business name for context.",
"type": "string"
},
"businessSize": {
"description": "Size of the business/organization.",
"enum": [
"solo",
"micro",
"small",
"midmarket",
"enterprise"
],
"type": "string"
},
"dataMaturity": {
"description": "Availability and maturity of the structured/machine-readable data of the business.",
"enum": [
"none",
"basic",
"developing",
"structured",
"advanced"
],
"type": "string"
},
"goals": {
"default": [
"ai_visibility"
],
"description": "One or more readiness goals the business wants to prioritize (1–8, unique values from the enum).",
"items": {
"enum": [
"ai_visibility",
"lead_generation",
"trust_authority",
"content_coverage",
"conversion_optimization",
"structured_data",
"agent_readiness",
"reputation_management"
],
"type": "string"
},
"maxItems": 8,
"minItems": 1,
"type": "array",
"uniqueItems": true
},
"industry": {
"description": "Optional industry/category for context.",
"type": "string"
},
"technicalStack": {
"description": "Technical stack / infrastructure sophistication.",
"enum": [
"minimal",
"standard",
"modern",
"advanced"
],
"type": "string"
}
},
"required": [
"businessSize",
"dataMaturity",
"technicalStack"
],
"type": "object"
},
"name": "assess_ai_recommendation_readiness"
},
{
"description": "Returns the AI Recommendation Readiness scoring framework: the scored dimensions and their weights, the four readiness tiers with score ranges, and every valid input option (business sizes, data maturity levels, technical stacks, and goals). Read-only and deterministic; use it to understand how the assessment is scored and to build valid inputs for assess_ai_recommendation_readiness.",
"inputSchema": {
"additionalProperties": false,
"properties": {},
"type": "object"
},
"name": "get_ai_readiness_framework"
}
]
}What the leaf hashes
{"body":"fc6daf6d69f30f787bc8eb88bd8b00af53b4263c47bc1fe45d539c34ec1b204b","id":223038,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793028454155068,"prev":null,"subject":"27f54a69-7591-4201-8e32-8a5d47602b47","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).
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- 0x6b927d53caa5125cdba9255612d524976c691f8672796c3f0885ba2c5b3af1ad
- 0x6dc40f983a3840a0ad927a9ca17f4ff1e3b649a6c735e2a09b140db7c2caf13b
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- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae