Fodda Earnings Intelligence

Added value: +{
+  "description": "Optional subject, brand, category, or problem statement to assess topic reconnaissance ('What does Fodda know about [topic]?'). If omitted, returns platform capability overview, workflow recipes, and specialist breakdown.",
+  "type": "string"
+}

Previous value: -"Optional user identifier."New value: +"Optional expert user identifier or email. Automatically resolved from authenticated API key for expert accounts."

Added value: +{
+  "description": "Optional question, topic, or search query (e.g. 'analyst questions about AI', 'who asked about margin'). If asking about analyst questions, quotes, or who asked, view will auto-route to 'qa'.",
+  "type": "string"
+}

Added value: +{
+  "description": "Free-text topic search or question within earnings call.",
+  "type": "string"
+}

Previous value: -"snapshot: full quarterly record with analyst concerns, sentiment, activity, validated trends. history: narrative timeline across quarters. qa: per-analyst Q&A entries with thematic tagging and response directness. compare: side-by-side comparison of 2-5 tickers. coverage: list all covered tickers (free)."New value: +"snapshot: full quarterly record including headline, financial metrics, analyst sentiment, strategic activity, CEO quotes, and top Q&A entries. qa: itemized analyst Q&A session with verbatim analyst questions, analyst names, analyst firms, executive responses, and response directness. USE THIS VIEW whenever the user asks who asked a question, for analyst names/firms, or for verbatim call quotes. history: narrative quarterly timeline. compare: side-by-side comparison of 2-5 tickers. coverage: list all covered tickers (free). Defaults to snapshot."

Removed value: -{
-  "description": "ISO date range start",
-  "type": "string"
-}

Removed value: -{
-  "description": "ISO date range end",
-  "type": "string"
-}

Previous value: -"Industry filter (e.g., 'hotels', 'sportswear', 'luxury')"New value: +"Industry filter alias."

Previous value: -"Max results to return (default 10, max 25)"New value: +"Max deflection themes to return (default 25)."

Added value: +{
+  "default": 2,
+  "description": "Minimum number of covered companies deflecting on the theme to include in results (default 2).",
+  "maximum": 9007199254740991,
+  "minimum": -9007199254740991,
+  "type": "integer"
+}

Added value: +{
+  "description": "Quarter filter (e.g., 'Q1-2026'). Defaults to latest quarter.",
+  "type": "string"
+}

Previous value: -"Free text search (e.g., 'tariffs', 'AI capex', 'margin erosion')"New value: +"Optional search term (used for logging and query attribution)."

Previous value: -"Sector filter (e.g., 'retail', 'technology', 'travel')"New value: +"Sector filter (e.g., 'retail', 'consumer goods', 'food & beverage', 'travel')"

Added value: +{
+  "description": "Scope query to a strategic corporate activity category. Use 'sustainability' for corporate ESG, circular economy, and climate initiatives (avoids conflation with analyst margin sustainability questions).",
+  "enum": [
+    "sustainability",
+    "marketing",
+    "retail",
+    "technology"
+  ],
+  "type": "string"
+}

Previous value: -"The label to fetch values for (e.g., 'Brand', 'Location', 'Technology', 'Audience', 'RetailerType', 'Trend')"New value: +"The label to fetch values for (e.g., 'Brand', 'Location', 'Technology', 'Audience', 'RetailerType', 'Trend'). Note: caps at 100 values alphabetically."

Added value: +{
+  "description": "Alias for graphId.",
+  "type": "string"
+}

Added value: +{
+  "description": "Alias for graphId.",
+  "type": "string"
+}

Added value: +{
+  "description": "Optional sector focus (e.g. 'Alcoholic Drinks', 'Non-Alcoholic Drinks', 'Food & Beverage', 'Retail', 'Beauty', 'Sports', 'Technology', 'Luxury Goods'). When provided, scopes trend discovery to this sector.",
+  "type": "string"
+}

Previous value: -"JSON string containing the chart data. Structure depends on chart_type. cultural_shifts: {shifts:[{from,to}]}. competitive_compass: {brands:[{name,x,y}], axes:{left,right,top,bottom}}. trend_constellation: {trends:[{name,x,y}], connections:[{from,to,strength}]}. implication_ladder: {signal,trend,so_what,do_what}. innovation_pathway: {now,near_term,future}. opportunity_map: {items:[{name,consumer_desire,market_activity}]}"New value: +"JSON string containing chart data. Optional top-level \"focus\":\"Name\" or per-item \"focus\":true highlights key entity in brand accent. cultural_shifts: {shifts:[{from,to}]}. competitive_compass: {brands:[{name,x,y,focus?:boolean}], axes:{left,right,top,bottom}, focus?:string}. trend_constellation: {trends:[{name,x,y,focus?:boolean}], connections:[{from,to,strength}], focus?:string}. implication_ladder: {signal,trend,so_what,do_what}. innovation_pathway: {now,near_term,future}. opportunity_map: {items:[{name,consumer_desire,market_activity,focus?:boolean}], x_label?:string, y_label?:string, focus?:string}"