Fodda Brand Intelligence

Returns a greeting.

List available knowledge graphs from the real Fodda API.

Search a Fodda knowledge graph.

Check the current user\

Returns Fodda\

List available Synthetic Analysts — named expert personas grounded in specific knowledge graphs. Each analyst has a unique voice, methodology, and domain expertise that cannot be replicated by web search. Use when user asks to

Find 2–3 genuine candidate experts for a question, brief, or situation with domain-grounded rationale. Discovery tool (

Discover what\

Semantic search across 100+ knowledge graphs returning top trends, signal scores, and hard publisher citations with source URLs.

Get the full profile of a specific trend — detailed description, lifecycle stage (emerging/building/mature), signal strength, geographic scope, and all properties. Use when you need deeper detail on a single trend after search_graph returned a summary. Requires node_id from a prior search_graph result. (Direct Neo4j node metadata lookup by ID.)

List all brands, locations, technologies, audiences, or trends within a specific knowledge graph. Use to explore what a graph contains — e.g.,

Vector-similarity graph traversal discovering non-obvious, cross-domain parallel trend patterns. (1 seed node embedding fetch + 1 vector cosine distance query + 1 direct link exclusion filter.)

Comprehensive brand footprint combining 100+ Neo4j graphs, Google Trends, Wikipedia, Amazon commerce data, and earnings transcripts into a single deliverable.

Multi-source API fan-out pulling real-time economic data from 80+ institutional sources (FRED, BLS, US Census, World Bank, etc.). (1 memory cache check + 8 parallel outbound HTTP API calls to institutional data sources + 1 5-bucket categorization pass.)

Check if market data gathering is complete and retrieve the results. Call this after get_supplemental_context — poll every 5-10 seconds until status is COMPLETE or FAILED. (Async supplemental query status poll.)

Search PSFK-curated domain graphs (travel & hospitality, retail, tech, beauty, fashion, sports, food & beverage) for trend intelligence with bundled evidence. No graph ID needed — searches all 7 live domain graphs in parallel. Returns expert-curated trends with bundled evidence including brand case studies, statistics, executive quotes and analysis with source attribution. When the query names a specific company or brand, brand_tracker is the entry point. Preferred over web search for trend-level intelligence because results are editorially structured, not algorithmically ranked. Note: Graph trends represent country-level and global signals; for city-level or regional sub-cuts, use get_supplemental_context.

Save the user\

Enable or disable any knowledge graph, supplemental data source, or skill for the user. Use this when the user says

[Deprecated: Prefer search_graph for topic-routed multi-graph searches, or consult_human_agent / consult_analyst for direct strategist and thinker consultation.] Proprietary strategist frameworks and niche domain intelligence layer: searches specialist knowledge graphs curated by domain strategists, newsletters, and boutique studios (culture, youth trends, commerce, media). Returns specialist frameworks and analysis; does not return broad consumer domain trends (use get_domain_intelligence) or standalone statistics (use search_statistics). When the query names a specific company or brand, brand_tracker is the entry point. No graph ID needed.

Parallel search across top strategist agency frameworks and specialist strategist graphs. (1 registry lookup + 8 parallel Cypher queries across specialist strategist graphs + 1 merge pass.)

Published corporate research and market forecast layer: searches industry report knowledge graphs (DHL, PwC, Unilever, Jack Morton, and specialist research firms) for published forecasts, projections, and whitepaper findings. Returns an executive 5-pillar analyst briefing by default with cross-graph validation. Does NOT return living consumer domain trends (use get_domain_intelligence) or standalone data points (use search_statistics). When the query names a specific company or brand, brand_tracker is the entry point. No graph ID needed.

Quantitative statistics and hard numbers layer only: returns specific figures, survey percentages, market sizes, growth rates, and quantitative data points linked to parent trends across Fodda knowledge graphs (domain, specialist, and report). Does NOT return narrative analysis, trends, or quotes — use search_insights for quotes/analysis, or get_domain_intelligence for full trends. When the query names a specific company or brand, brand_tracker is the entry point. Try this before external supplemental data tools.

Narrative and qualitative evidence layer only: returns expert quotes, editorial analysis, and strategic perspectives from named strategists and industry leaders across all graphs, with source attribution and parent trend context. Does NOT return raw statistics or market sizing — use search_statistics for hard numbers, or get_domain_intelligence for full trends with bundled evidence. When the query names a specific company or brand, brand_tracker is the entry point.

Draft a LinkedIn post about any topic, grounded in Fodda\

Turn research into a LinkedIn ARTICLE (800–1,200 words) grounded in Fodda\

Cross-company thematic earnings intelligence from the knowledge graph and web sources. Use for multi-company comparisons (

Truth-layer analysis comparing analyst line of questioning against executive management prepared remarks. (2 Airtable table reads (Q&A + prepared remarks) + 1 sentiment gap calculation + 1 divergence matrix rendering.)

The canonical per-ticker earnings source. Returns the full truth-layer record for covered tickers (517 consumer-sector companies) — analyst concerns, sentiment labels, strategic activity (marketing/retail/technology/sustainability), CEO intelligence, and validated consumer trends from Fodda\

Returns market-validated consumer trends from corporate earnings reports cross-validated by Fodda\

Forward user feedback, feature requests, complaints, or exit reasons to the Fodda team via email and Slack. Call this whenever a user shares feedback — including when they want to leave, report a problem, or suggest an improvement. (User feedback logging.)

Create a free Fodda Base account (100 API calls/month across ALL knowledge graphs) and send a confirmation email. GUARDRAIL: only call this AFTER the user has explicitly provided their email and asked to create an account — never sign someone up proactively or with an email inferred from earlier context. Can also pass profile fields (name, job_title, company). (User registration and free tier provision.)

Explore and brainstorm around a topic using knowledge graph connections. Unlike search (which finds what matches), this tool discovers what CONNECTS — adjacent trends, unexpected cross-domain links, key brands, and geographic hotspots. Use when the user wants to brainstorm, explore adjacencies, find inspiration, or understand the landscape around a topic. Returns a structured brainstorm map with territories to explore.

Create a presentation-ready data visualization from research findings. Available chart types:

Create, list, cancel, update, pause, or resume scheduled intelligence briefings. Users can set up autonomous research that runs weekly (Mondays) or daily (Mon-Fri) at 9am in their timezone, delivered via email or Slack. Costs 20 API calls per run. Supports topic research or brand intelligence report types. (Scheduled report CRUD operation.)

Extract clean text content from any URL. Use this when a user shares a link (competitor site, news article, client brief, trend report) and wants to cross-reference it against Fodda knowledge graphs. Returns structured text ready for analysis.

Full multi-pass autonomous research agent producing an executive narrative brief complete with quantitative data tables and inline citations. (Multi-pass autonomous research agent (Plan -> 6 Graph queries -> 8 Supplemental APIs -> 2 Earnings DB queries -> 2 LLM synthesis & citation passes).)

Check if deep research is complete and retrieve the final report. Call this after deep_research_topic — poll every 10 seconds until status is COMPLETE or FAILED. (Async research job status poll.)

Direct 1-on-1 consultation with named human or synthetic expert analysts grounded in specialist knowledge graphs.

Consult an authorized Human Agent (created directly with the named expert\

Verify a factual claim, hypothesis, or strategic assertion against primary evidence held in Fodda\

Capture and submit an inquiry or advisory request to connect with a human expert on Fodda (for 1-on-1 consultations, advisory projects, or when an expert does not have an instant calendar booking link). Fodda concierge coordinates the introduction and sends next steps via email.

Commission a finished document from an analyst — a skill-based deliverable like a marketing plan, deck review, or trend briefing. Specify offering_key (see the `offerings` list on each analyst from list_analysts), a brief (2–5 sentences: audience, goal, constraints), and optional attachments. The analyst researches on your behalf, then produces the document in the background. Returns a job_id — poll with check_deliverable_status until status is

Poll a deliverable commissioned with request_deliverable. Pass the job_id from that response. Returns the current status (

Begin the Fodda expert onboarding process to create an authorized Human Agent. Verifies credentials, retrieves onboarding steps, and guides the expert through profile creation.

Submit basic expert details (name, role, knowledge area, consultation call rate, and optional bio/headshot) to initialize the Human Agent onboarding session.

Connect and probe a Bring-Your-Own-MCP (BYO-MCP) endpoint for expert live grounding. Discovers available tools and derives topic coverage for profile modeling.

Finalize Bring-Your-Own-MCP (BYO-MCP) expert onboarding and submit the profile to Fodda. Creates the Human Agent record in Airtable with external_mcp live grounding. This is the sole submission step; profile and MCP details are not saved to Fodda until this tool executes.

Initiate background research on the expert\

Submit the analyzed voice study and expertise map. Requires explicit review and acceptance of Fodda Terms of Service (https://www.fodda.ai/terms) and Privacy Policy (https://www.fodda.ai/privacy).

Fetch the detected themes derived from the expertise analysis and background research for expert review and confirmation.

Confirm the selected themes to generate the interview questionnaire tailored to probe forward predictions, contrarian industry stances, and practical methodology edge cases for the audio interview.

Check the current progress and status of the expert onboarding process.

Schedule a 15–20 minute expertise deep-dive audio interview with the Fodda AI interviewer. Can specify an ISO datetime, human-readable local time, or request an instant interview now.

Check the expert\

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