← The evidence ledger
Evidence row 510971
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 5f44df91-7a27-404f-a78b-b169c0548c4d
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 7f6c86da19f588c7cef8c6cb92c313ff824683c1f86d70238c529812bbc1edce
- Leaf
- 0x2ba978a52fe996e7545c6902af76c74f925b630b80dc4a5e98f7e3141aab0b14
What was observed
{
"count": 8,
"tools": [
{
"description": "List authors linked to one claim.\n\n Use this when you have a claim id and need the people linked to it.\n Returns author id, name, and orcid. The list is empty when none are linked.\n Example: get_authors(claim_id=\"claim-attention\").\n Example: get_authors(claim_id=\"<id from query_claims>\").\n ",
"inputSchema": {
"properties": {
"claim_id": {
"description": "Claim id returned by a search tool. Example: claim-attention.",
"examples": [
"claim-attention"
],
"title": "Claim Id",
"type": "string"
}
},
"required": [
"claim_id"
],
"title": "get_authorsArguments",
"type": "object"
},
"name": "get_authors"
},
{
"description": "List claims stored as contradicting one claim.\n\n Returns each opposing claim id, status, evidence strength, and opposition strength.\n Example: get_contradictions(claim_id=\"<id from query_claims>\").\n ",
"inputSchema": {
"properties": {
"claim_id": {
"description": "Claim id to inspect.",
"title": "Claim Id",
"type": "string"
}
},
"required": [
"claim_id"
],
"title": "get_contradictionsArguments",
"type": "object"
},
"name": "get_contradictions"
},
{
"description": "Provenance for one claim. Excerpts are short unless full_text is true.\n\n Use this after a search when you have a claim id and need the papers behind it.\n Example: get_evidence(claim_id=\"claim-attention\").\n Example: get_evidence(claim_id=\"claim-attention\", full_text=true).\n ",
"inputSchema": {
"properties": {
"claim_id": {
"description": "Claim id returned by a search tool. Example: claim-attention.",
"examples": [
"claim-attention"
],
"title": "Claim Id",
"type": "string"
},
"full_text": {
"default": false,
"description": "Return stored excerpts without shortening. Example: false.",
"examples": [
false
],
"title": "Full Text",
"type": "boolean"
}
},
"required": [
"claim_id"
],
"title": "get_evidenceArguments",
"type": "object"
},
"name": "get_evidence"
},
{
"description": "List innovation flags, strongest first.\n\n Use this when you want links between claims rather than the claims themselves.\n Returns flag id, domain, summary, strength, and the claim ids on each path.\n Example: get_innovation_flags(domain=\"ai-ml\", min_strength=0.5, limit=10).\n Example: get_innovation_flags(domain=\"quantum\", min_strength=0.8, limit=5).\n ",
"inputSchema": {
"properties": {
"domain": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Restrict flags to one domain. Example: ai-ml.",
"examples": [
"ai-ml"
],
"title": "Domain"
},
"limit": {
"default": 20,
"description": "Page size. Example: 10.",
"examples": [
10
],
"maximum": 50,
"minimum": 1,
"title": "Limit",
"type": "integer"
},
"min_strength": {
"anyOf": [
{
"maximum": 1,
"minimum": 0,
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"description": "Drop flags below this strength, from 0 to 1. Example: 0.5.",
"examples": [
0.5
],
"title": "Min Strength"
},
"offset": {
"default": 0,
"description": "Number of hits to skip. Example: 0.",
"examples": [
0
],
"minimum": 0,
"title": "Offset",
"type": "integer"
}
},
"title": "get_innovation_flagsArguments",
"type": "object"
},
"name": "get_innovation_flags"
},
{
"description": "List claims whose last_updated is at or after a timestamp.\n\n Use this to read claims that changed after a time you already checked.\n Returns claim id, status, evidence strength, and a shortened excerpt.\n Example: get_updates(since=\"2026-01-01T00:00:00Z\", domain=\"ai-ml\", limit=20).\n Example: get_updates(since=\"2026-10-01T00:00:00Z\", domain=\"consciousness\", offset=20).\n ",
"inputSchema": {
"properties": {
"domain": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Restrict results to one domain. Example: ai-ml.",
"examples": [
"ai-ml"
],
"title": "Domain"
},
"limit": {
"default": 20,
"description": "Page size. Example: 20.",
"examples": [
20
],
"maximum": 50,
"minimum": 1,
"title": "Limit",
"type": "integer"
},
"offset": {
"default": 0,
"description": "Number of hits to skip. Example: 0.",
"examples": [
0
],
"minimum": 0,
"title": "Offset",
"type": "integer"
},
"since": {
"description": "ISO-8601 timestamp. Claims updated at or after this time. Example: 2026-01-01T00:00:00Z.",
"examples": [
"2026-01-01T00:00:00Z"
],
"format": "date-time",
"title": "Since",
"type": "string"
}
},
"required": [
"since"
],
"title": "get_updatesArguments",
"type": "object"
},
"name": "get_updates"
},
{
"description": "Search claim statements and excerpts, strongest matches first.\n\n Use this when you have keywords or a domain and want the strongest matching claims.\n Returns claim id, status, evidence strength, and a shortened excerpt.\n Example: query_claims(query=\"transformer\", domain=\"ai-ml\", limit=5).\n Example: query_claims(query=\"United States\", domain=\"data-protection\", limit=5).\n ",
"inputSchema": {
"$defs": {
"AssertionType": {
"enum": [
"asserted",
"hedged",
"conditional"
],
"title": "AssertionType",
"type": "string"
},
"ClaimFilters": {
"description": "Optional status, strength, and assertion type for a claim search.",
"properties": {
"assertion_type": {
"anyOf": [
{
"$ref": "#/$defs/AssertionType"
},
{
"type": "null"
}
],
"default": null,
"description": "Keep one assertion type: asserted, hedged, or conditional. Example: asserted.",
"examples": [
"asserted"
]
},
"min_strength": {
"anyOf": [
{
"maximum": 1,
"minimum": 0,
"type": "number"
},
{
"type": "null"
}
],
"default": null,
"description": "Drop claims below this evidence strength, from 0 to 1. Example: 0.6.",
"examples": [
0.6
],
"title": "Min Strength"
},
"status": {
"anyOf": [
{
"$ref": "#/$defs/ClaimStatus"
},
{
"type": "null"
}
],
"default": null,
"description": "Keep one status: consensus, contested, or outdated. Example: consensus.",
"examples": [
"consensus"
]
}
},
"title": "ClaimFilters",
"type": "object"
},
"ClaimStatus": {
"enum": [
"consensus",
"contested",
"outdated"
],
"title": "ClaimStatus",
"type": "string"
}
},
"properties": {
"domain": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Restrict results to one domain. Example: ai-ml.",
"examples": [
"ai-ml"
],
"title": "Domain"
},
"filters": {
"anyOf": [
{
"$ref": "#/$defs/ClaimFilters"
},
{
"type": "null"
}
],
"default": null,
"description": "Optional status, minimum evidence strength, and assertion type. Example: {\"status\": \"consensus\", \"min_strength\": 0.6}.",
"examples": [
{
"min_strength": 0.6,
"status": "consensus"
}
]
},
"limit": {
"default": 20,
"description": "Page size. Example: 5.",
"examples": [
5
],
"maximum": 50,
"minimum": 1,
"title": "Limit",
"type": "integer"
},
"offset": {
"default": 0,
"description": "Number of hits to skip. Example: 0.",
"examples": [
0
],
"minimum": 0,
"title": "Offset",
"type": "integer"
},
"query": {
"description": "Text matched against the claim statement and its excerpt. Example: transformer.",
"examples": [
"transformer"
],
"title": "Query",
"type": "string"
}
},
"required": [
"query"
],
"title": "query_claimsArguments",
"type": "object"
},
"name": "query_claims"
},
{
"description": "List law records for one jurisdiction and area of law.\n\n Use this when you want jurisdiction-scoped records. Omitting jurisdiction returns science claims.\n Returns record id, status, evidence strength, a shortened excerpt, jurisdiction, and area of law.\n Example: query_law(jurisdiction=\"DE\", area_of_law=\"data-protection\", query=\"consent\", limit=5).\n Example: query_law(query=\"transformer\", limit=5).\n ",
"inputSchema": {
"properties": {
"area_of_law": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Area of law slug. Example: data-protection.",
"examples": [
"data-protection"
],
"title": "Area Of Law"
},
"jurisdiction": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Jurisdiction code. Example: DE. Omit it to search science.",
"examples": [
"DE"
],
"title": "Jurisdiction"
},
"limit": {
"default": 20,
"description": "Page size. Example: 5.",
"examples": [
5
],
"maximum": 50,
"minimum": 1,
"title": "Limit",
"type": "integer"
},
"query": {
"default": "",
"description": "Text matched against the statement and its excerpt. Example: consent.",
"examples": [
"consent"
],
"title": "Query",
"type": "string"
}
},
"title": "query_lawArguments",
"type": "object"
},
"name": "query_law"
},
{
"description": "Find claims from a natural-language question. This build matches text only.\n\n Use this when the input is a question instead of keywords.\n Example: search_smart(natural_language=\"How do transformers handle long context?\", domain=\"ai-ml\", limit=5).\n Example: search_smart(natural_language=\"What limits healthspan?\", domain=\"longevity\", limit=5).\n ",
"inputSchema": {
"properties": {
"domain": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"description": "Restrict results to one domain. Example: ai-ml.",
"examples": [
"ai-ml"
],
"title": "Domain"
},
"limit": {
"default": 10,
"description": "Page size. Example: 5.",
"examples": [
5
],
"maximum": 50,
"minimum": 1,
"title": "Limit",
"type": "integer"
},
"natural_language": {
"description": "A question or description of the claims you want. Example: How do transformers handle long context?",
"examples": [
"How do transformers handle long context?"
],
"title": "Natural Language",
"type": "string"
},
"offset": {
"default": 0,
"description": "Number of hits to skip. Example: 0.",
"examples": [
0
],
"minimum": 0,
"title": "Offset",
"type": "integer"
}
},
"required": [
"natural_language"
],
"title": "search_smartArguments",
"type": "object"
},
"name": "search_smart"
}
]
}What the leaf hashes
{"body":"7f6c86da19f588c7cef8c6cb92c313ff824683c1f86d70238c529812bbc1edce","id":510971,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793117757514288,"prev":null,"subject":"5f44df91-7a27-404f-a78b-b169c0548c4d","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).
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- 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
- Day root
- 0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
- Chained
- 0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
- Published
- On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4