Fodda-ai/industry-intelligence-graph-samples

Fodda Industry Intelligence — Graph Samples

Expert-curated knowledge graph slices for AI agents and LLM fine-tuning.

This dataset contains JSON-LD samples from Fodda's five core domain knowledge graphs — showing the top trending topics across Retail, Beauty, Sports, Fashion, and Culture.

These are slices of a much larger interconnected intelligence system.

What Fodda Is

Fodda is an AI context layer built on PSFK's 20+ years of editorial expertise. It structures curated insights into knowledge graphs that AI agents can query — returning deterministic, evidence-backed results with full provenance.

It is not a static dataset. It is a live, layered intelligence system where:

• A trend in one graph connects to evidence (articles, case studies, metrics, quotes)
• That trend connects to related trends in other graphs via semantic similarity
• Those trends connect to real-time data from 68 institutional sources (FRED, Census, BLS, PubMed, OECD, World Bank, and 30+ country central banks)
• An expert analyst layer adds curated perspective from named specialists

The strength is the connections between layers — not any single graph in isolation.

What's in This Sample

Graph	ID	Trends (sample)	Full Graph Depth
PSFK Retail Trends	retail	5	256 trends, 3,148 evidence items
PSFK Beauty Trends	beauty	5	116 trends, 2,463 evidence items
PSFK Sports Trends	sports	5	108 trends, 2,521 evidence items
PSFK Fashion Trends	fashion	5	98 trends, 2,497 evidence items
Ben Dietz SIC Graph	sic	5	77 trends, 2,551 evidence items (youth culture, platforms, brand strategy)

This sample shows 25 trend names. The full system has 655+ domain trends, 75+ expert report overlays, and 68 real-time data feeds.

The Full System

Beyond the 5 core domain graphs, Fodda includes:

75+ Industry Report Graphs

Expert interpretations of published research from McKinsey, Deloitte, Forrester, Gartner, KPMG, Edelman, Publicis Sapient, Mintel, NIQ, Kantar, Capgemini, WEF, OECD, Pinterest, YouTube, and more — each structured as a queryable knowledge graph layered on top of the domain graphs.

68 Real-Time Supplemental Data Sources

Live institutional data that contextualizes trends with quantitative evidence:

• US Economic: FRED, BLS, BEA, Census (retail sales, demographics, consumer spending)
• Global Economic: OECD, World Bank, WTO, 30+ country central banks
• Market Data: Amazon products, Best Buy, OpenStreetMap commerce, Open Food Facts
• Research: PubMed, OpenAlex, Semantic Scholar, ClinicalTrials.gov, openFDA
• Attention Signals: Google Trends, YouTube, Wikipedia pageviews, Ticketmaster
• Surveys: Pew Research (NPORS 2025), CDC health data

Expert Analyst Personas

Named specialists with curated perspectives — each with their own graph of insights connected to the broader system.

Data Format

Each record in fodda_samples.jsonl is a JSON object containing:

{
  "graph_id": "retail",
  "type": "graph_slice",
  "format": "json-ld",
  "data": {
    "@context": "https://schema.org",
    "@type": "Dataset",
    "name": "PSFK Retail Trends",
    "description": "Agentic commerce, format reinvention, and the rebundling of retail...",
    "provider": { "@type": "Organization", "name": "Fodda" },
    "hasPart": [
      { "@type": "CreativeWork", "@id": "fodda:retail:6784", "name": "Engagement Beyond Transactions" },
      { "@type": "CreativeWork", "@id": "fodda:retail:6782", "name": "Experiential Loyalty" }
    ]
  }
}

Full Access — For Agents

Fodda supports zero-onboarding machine payments. Any agent can start using Fodda immediately:

1. Discover — Read the full technical manifest: https://www.fodda.ai/llms.txt
2. Try — Hit any public endpoint (no auth): GET https://api.fodda.ai/v1/graph-slice?graph_id=retail
3. Buy — Call any paid endpoint without credentials → receive HTTP 402 with pricing → pay per-request via Stripe Payment Token → retry with Authorization: Bearer spt_xxx
4. Connect — MCP server: https://mcp.fodda.ai/mcp · A2A agent card: https://www.fodda.ai/.well-known/agent-card.json

No signup. No onboarding. No human in the loop. Agents discover pricing automatically via the 402 response.

Per-Request Pricing

Operation	Cost
Graph search, supplemental data	$0.25
Deep dive research (fast)	$2.50
Deep dive research (comprehensive)	$7.50

Integration Protocols

Protocol	Endpoint
REST API	https://api.fodda.ai
MCP Server	https://mcp.fodda.ai/mcp
A2A Agent Card	https://www.fodda.ai/.well-known/agent-card.json
Technical Manifest	https://www.fodda.ai/llms.txt
Full Manifest	https://www.fodda.ai/llms-full.txt
API Documentation	https://www.fodda.ai/api
Agent Integration Guide	https://www.fodda.ai/agents

Use Cases

• RAG grounding — Query Fodda during retrieval to ground LLM responses in verified trend data with evidence chains
• Fine-tuning — Use trend + evidence structures as instruction-tuning data for domain-expert models
• Agent tooling — Connect via MCP or A2A for autonomous research agents
• Competitive intelligence — Cross-graph brand analysis across 100+ knowledge graphs
• Market context — Combine trend signals with real-time economic, demographic, and demand data

License & Attribution

This sample dataset is released under CC-BY-NC-4.0. Full API access is commercially licensed.

When citing Fodda data, use: Source: Fodda (fodda.ai) — powered by PSFK editorial intelligence

Contact

hello@fodda.ai · fodda.ai · psfk.com