| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - text-generation |
| - question-answering |
| language: |
| - en |
| tags: |
| - knowledge-graph |
| - retail |
| - beauty |
| - fashion |
| - sports |
| - culture |
| - brand-strategy |
| - consumer-trends |
| - business-intelligence |
| - grounded-context |
| - rag |
| - mcp |
| - a2a |
| - agent-ready |
| pretty_name: "Fodda Industry Intelligence — Graph Samples" |
| size_categories: |
| - n<1K |
| source_datasets: |
| - original |
| --- |
| |
| # 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](https://www.fodda.ai)'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](https://psfk.com)'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: |
|
|
| ```json |
| { |
| "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](https://www.fodda.ai) · [psfk.com](https://www.psfk.com) |
|
|
