get_earnings_intelligence
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. Returns structured evidence from public company earnings calls — management commentary, guidance, key topics, and analyst Q&A. Use for cross-company comparisons ("what are hotel companies saying about labor costs?"), industry-level queries ("earnings intelligence for consumer electronics"), or explicit earnings requests. For single-brand earnings, use brand_tracker instead — it includes earningsIntelligence automatically. Results include a source field: "knowledge_graph" (high confidence, structured Neo4j data) or "web_supplemental" (backfilled via web search). Uses 5 tokens ($2.50 via SPT). For cross-company thematic comparisons. For per-ticker data (SWOT, sentiment, guidance), use get_company_earnings instead.
Parameters schema
{
"type": "object",
"$schema": "http://json-schema.org/draft-07/schema#",
"properties": {
"brand": {
"type": "string",
"description": "Brand name for fuzzy matching (e.g., 'Nike', 'Marriott')"
},
"limit": {
"type": "integer",
"maximum": 9007199254740991,
"minimum": -9007199254740991,
"description": "Max results to return (default 20, max 50)"
},
"dateTo": {
"type": "string",
"description": "ISO date range end (e.g., '2026-06-01')"
},
"search": {
"type": "string",
"description": "Free text search in earnings summaries (e.g., 'labor costs', 'tariff guidance', 'AI investment')"
},
"sector": {
"type": "string",
"description": "Sector filter (e.g., 'retail', 'technology', 'travel')"
},
"ticker": {
"type": "string",
"description": "Company stock ticker (e.g., 'NKE', 'LVMUY', 'HLT'). At least one filter required."
},
"userId": {
"type": "string",
"description": "Optional user identifier for trial usage tracking."
},
"dateFrom": {
"type": "string",
"description": "ISO date range start (e.g., '2025-01-01')"
},
"industry": {
"type": "string",
"description": "Industry filter (e.g., 'hotels', 'sportswear', 'consumer electronics')"
}
}
}Parent server
Fodda Knowledge Graphs
https://github.com/fodda/mcp-server
1/7 registries