Card snapshot

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": "Artha",
  "description": "AI Financial Intelligence. Sanskrit for wealth and purpose \u2014 one of the four aims of human life. Company analysis, SEC filings, financial metrics, and economic indicators.",
  "version": "1.0.0",
  "supportedInterfaces": [
    {
      "url": "https://api.askasha.org/a2a/v1",
      "protocolBinding": "HTTP+JSON",
      "protocolVersion": "1.0"
    }
  ],
  "url": "https://api.askasha.org/a2a/v1",
  "protocolVersion": "1.0",
  "provider": {
    "organization": "DNAi Systems",
    "url": "https://dnai.systems"
  },
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "extendedAgentCard": false
  },
  "defaultInputModes": [
    "text/plain",
    "application/json"
  ],
  "defaultOutputModes": [
    "text/plain",
    "application/json"
  ],
  "securitySchemes": {
    "bearer": {
      "httpAuthSecurityScheme": {
        "scheme": "Bearer",
        "bearerFormat": "API-Key"
      }
    }
  },
  "securityRequirements": [
    {
      "bearer": []
    }
  ],
  "skills": [
    {
      "id": "company-analysis",
      "name": "Company Analysis",
      "description": "Comprehensive company analysis using fundamental data, SEC filings, and financial statements.",
      "tags": [
        "financial",
        "company",
        "analysis"
      ],
      "examples": [
        "Give me a fundamental analysis of NVIDIA's last 4 quarters",
        "Compare Apple and Microsoft's capital allocation strategies"
      ]
    },
    {
      "id": "sec-filing-search",
      "name": "SEC Filing Search",
      "description": "Search and analyze SEC EDGAR filings \u2014 10-Ks, 10-Qs, 8-Ks, proxy statements \u2014 with XBRL data extraction.",
      "tags": [
        "SEC",
        "EDGAR",
        "filings",
        "XBRL"
      ],
      "examples": [
        "Find Tesla's latest 10-K risk factors section",
        "What did Alphabet disclose in their most recent 8-K?",
        "Extract revenue segments from Amazon's latest 10-Q"
      ]
    },
    {
      "id": "financial-metrics",
      "name": "Financial Metrics",
      "description": "Calculate and compare financial ratios, valuation multiples, and performance metrics across companies and sectors.",
      "tags": [
        "metrics",
        "valuation",
        "ratios"
      ],
      "examples": [
        "Calculate EV/EBITDA for the top 5 semiconductor companies",
        "What is the Altman Z-score for Boeing?"
      ]
    },
    {
      "id": "market-research",
      "name": "Market Research",
      "description": "Sector analysis, economic indicator tracking, and macro trend identification using financial data.",
      "tags": [
        "market",
        "economics",
        "research"
      ],
      "examples": [
        "How has the AI infrastructure sector performed relative to S&P 500 YTD?",
        "What do current treasury yield curves suggest about recession risk?"
      ]
    }
  ],
  "iconUrl": "https://dnai.systems/dnai-logo.svg",
  "documentationUrl": "https://github.com/EndlessRay/artha-a2a",
  "epistemicCapabilities": {
    "knowledgeCorpus": {
      "totalVectors": 16700000,
      "collections": [
        "artha_sec_filings",
        "artha_company_fundamentals",
        "artha_economic_indicators",
        "artha_company_profiles",
        "artha_financial_statements",
        "artha_financial_news",
        "artha_treasury_yields",
        "finance_economics_textbook",
        "openalex_finance_mgmt",
        "repec_economics",
        "openalex_top_cited",
        "arxiv_multidomain"
      ],
      "lastAudited": "2026-04-04"
    },
    "falsificationAvailable": true,
    "falsificationEndpoint": "/api/feng/falsify",
    "temporalQuerySupport": true,
    "provenanceInResponses": true,
    "fiduciaryContractHash": "2463019018e61094",
    "authorityLevel": 0.9,
    "evidenceGrounding": "CIU-grounded (retrieval + CIVERA verification + Merkle audit)",
    "hallucinationMitigation": "pre-generation (CIVERA) + post-generation (entity verification)"
  }
}