get_earnings_divergence
InactiveTool of Fodda Knowledge Graphs
Targeted pull: use when you want ONLY earnings data for a known ticker/sector — not full research. For questions that mix earnings with trends, use deep_research_topic, which includes earnings automatically. Detects divergence between analyst concerns and management responses in earnings calls — surfaces where executives are deflecting, reframing, or avoiding specific topics. Premium intelligence — shows the gap between what Wall Street is worried about and what companies are saying. Results include deflected topics, concern-vs-response framing, and connections to Fodda trends via :VALIDATES edges. Use for "where are executives deflecting?" or "divergence in [sector] earnings." Uses 5 tokens ($2.50 via SPT). Detects management deflection of analyst concerns.
Parameters schema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"limit": {
"type": "integer",
"maximum": 9007199254740991,
"minimum": -9007199254740991,
"description": "Max results to return (default 10, max 25)"
},
"dateTo": {
"type": "string",
"description": "ISO date range end"
},
"search": {
"type": "string",
"description": "Free text search (e.g., 'tariffs', 'AI capex', 'margin erosion')"
},
"sector": {
"type": "string",
"description": "Sector filter (e.g., 'retail', 'technology', 'travel')"
},
"userId": {
"type": "string",
"description": "Optional user identifier for trial usage tracking."
},
"dateFrom": {
"type": "string",
"description": "ISO date range start"
},
"industry": {
"type": "string",
"description": "Industry filter (e.g., 'hotels', 'sportswear', 'luxury')"
}
}
}No endpoints wrapped at confidence ≥ 0.50.
Parent server
Fodda Knowledge Graphs
https://github.com/fodda/mcp-server
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