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Card snapshot
tresslersgroup.com
·
2026-10-02 11:25:09 UTC
·
8e4b707224891991e56c3666aaabae4a9c673258ab9edb310a902a13773a02f2
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
{
"$schema": "https://modelcontextprotocol.io/schema/mcp.json",
"name": "tresslers-group",
"title": "Tresslers Group Intelligence Gateway",
"description": "Dynamic Model Context Protocol (MCP) server providing autonomous AI agents with sovereign intelligence dossiers, semantic matrix search, prediction market alpha gaps, and cryptographic SHA-256 pre-commitment verification.",
"version": "2.2.0",
"url": "https://tresslersgroup.com/api/mcp",
"homepage": "https://tresslersgroup.com/mcp",
"repository": "https://github.com/tresslersgroup/tresslers-website",
"transports": [
{
"type": "sse",
"url": "https://tresslersgroup.com/api/mcp",
"note": "Standard MCP SSE streaming (GET with Accept: text/event-stream)"
},
{
"type": "http",
"url": "https://tresslersgroup.com/api/mcp",
"note": "Stateless JSON-RPC 2.0 (POST)"
}
],
"authentication": {
"type": "none",
"notes": "Public discovery and standard querying are free. Deep RAG and multi-hop GraphRAG support optional machine-native x402 USDC micropayments."
},
"capabilities": {
"tools": {
"listChanged": false
},
"resources": {},
"prompts": {}
},
"tools": [
{
"name": "search_dossiers",
"description": "Searches and filters across all published Tresslers Group intelligence dossiers by keywords, strategic domain/category, tags, or conviction threshold.",
"inputSchema": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query or keywords to match across title, excerpt, content, and tags."
},
"category": {
"type": "string",
"description": "Optional category filter (e.g., 'Geopolitics & Sovereign Policy', 'Energy & Infrastructure')."
},
"tag": {
"type": "string",
"description": "Optional tag filter (e.g., 'sovereign-ai', 'energy-transition')."
},
"limit": {
"type": "number",
"description": "Maximum number of dossiers to return (default: 5, max: 20)."
},
"min_conviction": {
"type": "number",
"description": "Minimum conviction threshold (0.0 to 1.0, e.g., 0.85)."
}
},
"required": [
"query"
]
}
},
{
"name": "verify_commitment",
"description": "Cryptographically verifies a predictive alpha pre-commitment against the immutable SHA-256 ledger using either a 64-character hash digest or canonical preimage parameters.",
"inputSchema": {
"type": "object",
"properties": {
"hash": {
"type": "string",
"description": "64-character lowercase hexadecimal SHA-256 commitment digest."
},
"preimage": {
"type": "string",
"description": "Full pipe-delimited UTF-8 canonical preimage string (YYYY-MM-DD|question|model_odds|target_dossier_slug)."
},
"canonical_preimage": {
"type": "string",
"description": "Alternative key for canonical preimage string."
},
"dispatch_date": {
"type": "string",
"description": "Dispatch date component (YYYY-MM-DD)."
},
"market_question": {
"type": "string",
"description": "Exact market question component."
},
"model_odds": {
"type": "number",
"description": "Model odds integer component (0-100)."
},
"dossier_slug": {
"type": "string",
"description": "Target dossier slug component."
}
}
}
},
{
"name": "get_alpha_gap",
"description": "Retrieves prediction market Alpha Gaps comparing Tresslers Group Bayesian model odds against Polymarket order books, along with Brier scores, calibration alpha (+3,480 bps benchmark), and cryptographic SHA-256 pre-commitments.",
"inputSchema": {
"type": "object",
"properties": {
"status": {
"type": "string",
"enum": [
"ALL",
"RESOLVED",
"PENDING",
"CONTRACT_SETTLED",
"OUTCOME_TRACKED"
],
"description": "Filter by status or settlement type."
},
"settlement_type": {
"type": "string",
"enum": [
"all",
"contract_settled",
"outcome_tracked",
"unscored_archive"
],
"description": "Filter by settlement tier."
},
"min_divergence": {
"type": "number",
"description": "Minimum absolute divergence gap in percentage points."
},
"category": {
"type": "string",
"description": "Optional filter by strategic intelligence domain."
},
"limit": {
"type": "number",
"description": "Maximum number of records to return."
}
}
}
},
{
"name": "list_dossiers",
"description": "Returns a list of all available intelligence dossier slugs.",
"inputSchema": {
"type": "object",
"properties": {},
"required": []
}
},
{
"name": "read_dossier",
"description": "Reads the pure text contents of a specific intelligence dossier. Requires x402 payment proof for premium intelligence.",
"inputSchema": {
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "The slug of the dossier to read (e.g., 'sovereign-ai-state-national-policy-2026')."
},
"payment_proof": {
"type": "string",
"description": "Standard x402 signed USDC transaction proof (0x...)."
}
},
"required": [
"slug"
]
}
},
{
"name": "search_intelligence_matrix",
"description": "Executes a semantic vector similarity search across the entire ThinkForge intelligence substrate. Returns relevant snippets and strategic conviction metadata.",
"inputSchema": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Semantic research question."
},
"filter": {
"type": "string",
"description": "Optional SQL-like metadata filter."
},
"limit": {
"type": "number",
"description": "Max results to return (default 5, max 10)."
}
},
"required": [
"query"
]
}
},
{
"name": "query_knowledge_graph",
"description": "Traverses the multi-hop conceptual knowledge graph across entities (GraphRAG).",
"inputSchema": {
"type": "object",
"properties": {
"entity_id": {
"type": "string",
"description": "Target conceptual entity or dossier slug."
},
"depth": {
"type": "number",
"description": "Graph traversal hop depth (1 for free preview, 2 to 3 for deep reasoning)."
},
"payment_proof": {
"type": "string",
"description": "Standard x402 signed USDC transaction proof."
}
},
"required": [
"entity_id"
]
}
},
{
"name": "get_dossier_delta",
"description": "Queries intelligence updates and conviction deltas attested since a specific UTC timestamp.",
"inputSchema": {
"type": "object",
"properties": {
"since_timestamp": {
"type": "string",
"description": "ISO UTC timestamp (e.g., '2026-05-01T00:00:00Z')."
}
},
"required": [
"since_timestamp"
]
}
},
{
"name": "ask_intelligence_rag",
"description": "Ask a natural-language question and receive structured intelligence context retrieved from Tresslers Group dossiers via RAG.",
"inputSchema": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "Natural language question."
},
"max_sources": {
"type": "number",
"description": "Maximum number of source dossier chunks to retrieve (default 5, max 8)."
}
},
"required": [
"question"
]
}
},
{
"name": "optimize_codon",
"description": "Optimizes a protein or cDNA coding sequence for maximal recombinant expression yield in a target host organism using the Logos biocomputing engine.",
"inputSchema": {
"type": "object",
"properties": {
"sequence": {
"type": "string",
"description": "Amino acid sequence or DNA coding sequence to optimize."
},
"host": {
"type": "string",
"enum": [
"e_coli",
"h_sapiens",
"c_griseus",
"s_cerevisiae",
"p_pastoris",
"v_natriegens",
"n_benthamiana",
"a_thaliana"
]
},
"gc_target": {
"type": "number",
"description": "Target global GC percentage."
}
},
"required": [
"sequence"
]
}
},
{
"name": "get_model_record",
"description": "Queries the public calibration and backtest ledger of Tresslers Group sovereign intelligence models.",
"inputSchema": {
"type": "object",
"properties": {
"settlement_type": {
"type": "string",
"enum": [
"all",
"contract_settled",
"outcome_tracked",
"unscored_archive"
]
},
"status": {
"type": "string",
"enum": [
"ALL",
"RESOLVED",
"PENDING"
]
},
"category": {
"type": "string"
}
},
"required": []
}
}
]
}