Card snapshot
agenda-intelligence-a2a.vassiliy-lakhonin.workers.dev
·
2026-08-13 21:02:43 UTC
·
86be4a727c6726f49c5b81c18e945249bb789c3416ebae725c23313d95e7f28b
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.
{
"name": "Agenda Intelligence MD",
"description": "Live A2A wrapper for Agenda Intelligence MD, an evidence-discipline MCP layer for strategic-risk agents. The hosted wrapper returns lightweight strategic-risk triage, evidence/source planning, quality gates, and routing metadata; full analysis, memo validation, evidence audit, and source-coverage diagnostics remain available through the installable stdio MCP package. Outputs are evidence triage with mandatory human-review routing before any commercial action; not legal, compliance, sanctions, financial, or investment advice, and not an autonomous decision system.",
"provider": {
"organization": "Vassiliy Lakhonin",
"url": "https://vassiliylakhonin.github.io/",
"legalEntity": {
"type": "individual",
"name": "Vassiliy Lakhonin",
"url": "https://vassiliylakhonin.github.io/verification.json",
"sameAs": [
"https://github.com/vassiliylakhonin",
"https://pypi.org/project/agenda-intelligence-md/",
"https://glama.ai/mcp/servers/vassiliylakhonin/agenda-intelligence-md",
"https://agenstry.com/agents/agenda-intelligence-a2a.vassiliy-lakhonin.workers.dev"
]
}
},
"version": "1.2.0",
"documentationUrl": "https://github.com/vassiliylakhonin/agenda-intelligence-md/blob/main/MCP.md",
"supportedInterfaces": [
{
"url": "https://agenda-intelligence-a2a.vassiliy-lakhonin.workers.dev/message/send",
"protocolBinding": "JSONRPC",
"protocolVersion": "1.0"
}
],
"securityRequirements": [],
"capabilities": {
"streaming": false,
"pushNotifications": false,
"extendedAgentCard": false
},
"defaultInputModes": [
"application/json",
"text/plain",
"text/markdown"
],
"defaultOutputModes": [
"application/json",
"text/markdown"
],
"skills": [
{
"id": "agenda-signal-screen",
"name": "Sanctions and policy risk signal triage",
"description": "Returns a free live A2A signal screen for sanctions, policy, corridor, and regulatory-risk questions: risk signal, affected regions, required source categories, evidence gaps, watch-next indicators, and recommended MCP tool.",
"tags": [
"sanctions",
"policy-risk",
"regulatory-risk",
"geopolitical-signals",
"source-coverage",
"watch-next",
"free"
],
"examples": [
"Screen sanctions and policy risk for Red Sea shipping disruption and Kazakhstan transit exposure.",
"Find evidence gaps and watch-next indicators for EU sanctions around a Central Asia corridor."
],
"inputModes": [
"application/json",
"text/plain"
],
"outputModes": [
"application/json",
"text/markdown"
]
},
{
"id": "agenda-analyze",
"name": "Strategic-risk signal triage",
"description": "Returns lightweight A2A triage for geopolitical, policy, sanctions, trade, regulation, and market-risk questions: relevant modules, decision framing, unknowns, watch-next signals, and the MCP analyze path for full memo assembly.",
"tags": [
"strategic-risk",
"geopolitical-risk",
"policy-analysis",
"signal-triage",
"decision-intelligence",
"memo",
"mcp"
],
"examples": [
"Analyze how Red Sea shipping disruption changes risk for a Central Asia logistics corridor.",
"Prepare a structured sanctions-risk memo with uncertainties and watch-next signals."
],
"inputModes": [
"application/json",
"text/plain"
],
"outputModes": [
"application/json",
"text/markdown"
]
},
{
"id": "agenda-validate-memo",
"name": "Strategic-risk memo validation",
"description": "Routes callers to the packaged validate_memo MCP tool, which validates strategic-risk memos against the agenda-memo JSON schema and returns contract errors before analyst or agent handoff.",
"tags": [
"schema-validation",
"memo-validation",
"quality-gate",
"strategic-risk"
],
"examples": [
"Validate this strategic-risk memo before it is sent to an analyst workflow."
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "agenda-audit-claims",
"name": "Policy evidence quality gate",
"description": "Routes callers to the packaged audit_claims MCP tool for claim-level evidence structure, support-level distribution, orphan evidence references, unsupported claims, and provenance discipline.",
"tags": [
"evidence-audit",
"claim-support",
"provenance",
"quality-gate",
"strategic-risk"
],
"examples": [
"Audit whether each claim in this memo is linked to evidence ids and labelled by support level."
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "agenda-source-coverage",
"name": "Sanctions and regulatory source coverage",
"description": "Returns source-planning guidance and routes callers to the packaged source_coverage MCP tool for sanctions, trade, regulation, energy, conflict, cyber, ESG, and technology-AI evidence packs.",
"tags": [
"source-planning",
"evidence-coverage",
"sanctions",
"trade",
"regulation"
],
"examples": [
"Check whether this sanctions evidence pack covers the required source categories."
],
"inputModes": [
"application/json"
],
"outputModes": [
"application/json"
]
},
{
"id": "agenda-quote-verification",
"name": "Quote and excerpt presence check",
"description": "Routes callers to the packaged verify_quotes MCP tool, which checks whether cited quote fragments appear in caller-supplied source text without claiming live source discovery or factual-truth verification.",
"tags": [
"quote-checking",
"evidence-discipline",
"local-verification",
"provenance"
],
"examples": [
"Confirm that each quoted excerpt appears in the provided source text."
],
"inputModes": [
"application/json",
"text/plain"
],
"outputModes": [
"application/json"
]
},
{
"id": "agenda-signals",
"name": "Geopolitical signal archive lookup",
"description": "Routes callers to the packaged list_signals and get_signal MCP tools for strategic-risk signal archive entries, watch-next monitoring, and policy-analysis context vendored from the Global Think Tank Analyst method snapshot.",
"tags": [
"signals",
"geopolitical-signals",
"strategic-intelligence",
"archive",
"watch-next",
"policy-analysis"
],
"examples": [
"List available signal records relevant to a regional-risk workflow."
],
"inputModes": [
"application/json",
"text/plain"
],
"outputModes": [
"application/json",
"text/markdown"
]
}
],
"support": {
"email": "vassiliy.lakhonin@gmail.com",
"documentationUrl": "https://github.com/vassiliylakhonin/agenda-intelligence-md/blob/main/MCP.md",
"hours_local": "Mon\u2013Fri 09:00\u201318:00 Asia/Almaty (UTC+5)",
"timezone": "Asia/Almaty",
"response_sla": "Best-effort response within 2 business days. Solo maintainer (not a company); not a paid support channel."
},
"x_agenda_intelligence": {
"hosted_wrapper": true,
"wrapper_scope": "A2A/JSON-RPC discovery, lightweight triage, and routing response only",
"jsonrpc_endpoint": "https://agenda-intelligence-a2a.vassiliy-lakhonin.workers.dev/message/send",
"protocol_version": "1.0",
"public_endpoint": true,
"optional_client_identifier_header": "X-Client-Id",
"ai_catalog": "https://agenda-intelligence-a2a.vassiliy-lakhonin.workers.dev/.well-known/ai-catalog.json",
"repository": "https://github.com/vassiliylakhonin/agenda-intelligence-md",
"package": "https://pypi.org/project/agenda-intelligence-md/",
"mcp": {
"transport": "stdio",
"server_command": "agenda-intelligence-mcp",
"install": "pip install agenda-intelligence-md"
},
"boundaries": [
"No payments or wallet rails.",
"No autonomous live source retrieval.",
"No factual-truth verification.",
"No legal, financial, compliance, investment, or trading advice."
]
},
"signature": "eyJhbGciOiJFUzI1NiIsImI2NCI6ZmFsc2UsImNyaXQiOlsiYjY0Il0sImprdSI6Imh0dHBzOi8vYWdlbmRhLWludGVsbGlnZW5jZS1hMmEudmFzc2lsaXktbGFraG9uaW4ud29ya2Vycy5kZXYvLndlbGwta25vd24vandrcy5qc29uIiwia2lkIjoiYWdlbmRhLWludGVsbGlnZW5jZS1tZC0yMDI2LTA1LTI3LTI2ZjBkMDE2In0..gfblErJemXTzBEKkyRNyrh6fBx4KbLULPEqK82QLF5SOP0OqocyWi7q8L6M2Z9DVTVX4UjL9nD1NvRxA3zNU9g"
}