Fodda Topic & Trend Research

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."

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."

Previous value: -"The topic or query to get supplemental data for (e.g., 'sustainable packaging', 'tequila spirits market', 'Gen Z beauty'). Include country names if searching non-US markets (e.g. 'Thailand consumer sentiment')."New value: +"The topic or query to get supplemental data for (e.g., 'US retail sales', 'consumer spending', 'sustainable packaging', 'Gen Z beauty'). Include country names if searching non-US markets (e.g. 'Thailand consumer sentiment'). When querying retail sales or consumer spending, returns official Headline Retail & Food Services (RSAFS, ~\\$738B) vs Ex-Food (RSXFS, ~\\$646B) and live Monthly PCE (Table T20805, ~\\$22.3T)."

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: -"Graph ID to search. Works on ALL graphs — domain graphs ('retail', 'sic', 'beauty', 'sports', 'fashion', 'ce-design', 'pew') AND expert graphs. Search across multiple graphs for best coverage."New value: +"Optional graph ID to search. If omitted (or when sector is provided), searches across all relevant graphs in parallel. Examples: 'food', 'retail', 'tech', 'travel', 'beauty', 'sports', 'fashion', 'sic', 'pew', 'ce-design'."

Added value: +{
+  "description": "Optional sector focus to filter results (e.g. 'Alcoholic Drinks', 'Non-Alcoholic Drinks', 'Food & Beverage', 'Retail', 'Beauty', 'Sports', 'Technology', 'Luxury Goods'). When provided, bypasses graph IDs and scopes insights extraction to this sector across graphs.",
+  "type": "string"
+}

Previous value: -[
-  "graph_id",
-  "query"
-]New value: +[
+  "query"
+]

Previous value: -"Graph ID to search. Works on ALL graphs — domain graphs ('retail', 'fashion', 'beauty', 'sports', 'sic', 'ce-design', 'pew') AND expert graphs. Search across multiple graphs for best coverage."New value: +"Optional graph ID to search. If omitted (or when sector is provided), searches across all relevant graphs in parallel. Examples: 'food', 'retail', 'tech', 'travel', 'fashion', 'beauty', 'sports', 'sic', 'pew', 'ce-design'."

Added value: +{
+  "description": "Optional sector focus to filter results (e.g. 'Alcoholic Drinks', 'Non-Alcoholic Drinks', 'Food & Beverage', 'Retail', 'Beauty', 'Sports', 'Technology', 'Luxury Goods'). When provided, bypasses graph IDs and scopes evidence extraction to this sector across graphs.",
+  "type": "string"
+}

Previous value: -[
-  "graph_id",
-  "query"
-]New value: +[
+  "query"
+]

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}"