Connect Fodda to LangChain (Python)

Native LangChain Tool (FoddaContextRetriever) for autonomous agents querying verified retail graphs, market intelligence, and expert dossiers.

Connection Details

Official Documentation: https://github.com/fodda-ai/langchain-fodda#readme

Endpoint: https://api.fodda.ai/v1

Authentication: API Key (sk_live_...)

search_graph: Traverse curated knowledge graphs for trends, evidence, brands, and connected facts.
consult_human_agent: Consult verified real-world experts (Ben Dietz, Anu Lingala, Thiago Bersou, Peter Abraham) in first-person voice.
brand_tracker: Synthesize a full brand footprint across 100+ graphs, search demand, commerce, and earnings transcripts.
get_validated_trends: Access earnings-validated consumer and category trends with management/analyst divergence tracking.
get_supplemental_context: Query 90+ live institutional and market data feeds (central banks, statistics agencies, retail pricing, demand signals).

See provider documentation for current availability and feature tiers: https://github.com/fodda-ai/langchain-fodda#readme