Fodda Research Agent

{
  "protocolVersion": "0.3.0",
  "name": "Fodda Research Agent",
  "description": "Expert-curated trend, brand, research, and earnings intelligence from named experts' knowledge graphs (220+ graphs across retail, beauty, sports, finance, and institutional data). Delegate a task in natural language \u2014 Fodda selects the right tools and returns a synthesized result. Pay per task via Stripe Shared Payment Token; no account required.",
  "url": "https://mcp.fodda.ai/a2a",
  "preferredTransport": "JSONRPC",
  "version": "1.31.0",
  "provider": {
    "organization": "Fodda (PSFK)",
    "url": "https://www.fodda.ai"
  },
  "documentationUrl": "https://www.fodda.ai/llms.txt",
  "iconUrl": "https://ucarecdn.com/6e7893d7-6b14-426b-83bc-574a3f72d6bc/foddafavicon.png",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": false
  },
  "defaultInputModes": [
    "text/plain"
  ],
  "defaultOutputModes": [
    "text/plain",
    "application/json"
  ],
  "skills": [
    {
      "id": "brand-intelligence",
      "name": "Brand Intelligence",
      "description": "Track a brand's trend footprint, competitive context, and market signals across expert-curated graphs.",
      "tags": [
        "brand",
        "competitive",
        "intelligence"
      ],
      "examples": [
        "What is Nike doing?",
        "Brand intelligence for Patagonia"
      ]
    },
    {
      "id": "trend-search",
      "name": "Trend Search",
      "description": "Search expert-curated knowledge graphs for trends with supporting evidence and source attribution.",
      "tags": [
        "trends",
        "search",
        "research"
      ],
      "examples": [
        "sustainable packaging trends",
        "Gen Z beauty habits"
      ]
    },
    {
      "id": "deep-research",
      "name": "Deep Research",
      "description": "Synthesize a multi-trend research summary across Fodda's graph network for a topic. Research spans expert graphs, earnings calls, and institutional data.",
      "tags": [
        "research",
        "report",
        "analysis"
      ],
      "examples": [
        "comprehensive report on Gen Z luxury",
        "detailed analysis of the resale market"
      ]
    },
    {
      "id": "earnings-intelligence",
      "name": "Earnings Intelligence",
      "description": "Surface what public companies say on earnings calls \u2014 guidance, key topics, and analyst Q&A.",
      "tags": [
        "earnings",
        "financial",
        "intelligence"
      ],
      "examples": [
        "what are hotel companies saying about labor costs",
        "Nike earnings highlights"
      ]
    },
    {
      "id": "expert-consult",
      "name": "Expert Consult",
      "description": "Consult a named Human Agent \u2014 a real expert's digital twin that answers in their voice and researches across expert graphs, earnings calls, and market data on your behalf.",
      "tags": [
        "expert",
        "consult",
        "analyst"
      ],
      "examples": [
        "Consult Ben Dietz about culture-led brand strategy",
        "Ask Anu Lingala about 2026 macro trends"
      ]
    }
  ]
}