Card snapshot
www.fodda.ai
·
2026-07-03 04:15:26 UTC
·
6d162370bee7a40dd6f1c4292eb9e82e38298c5a1dd95f77abf182f003e83d60
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.
{
"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"
]
}
]
}