2026-04-08

Pantry Sting

If it’s watered down, cut with syrup, or lying about where it came from, we’ll find it.

Consumer-facing food fraud intelligence — automated commodity risk scorecards, country-of-origin red flags, adulteration trend dashboards, import refusal trackers, and weekly data-journalism dispatches that expose what’s fake, diluted, substituted, or mislabeled in the global food supply. Not recalls. Not additives. Fraud. Olive oil that isn’t olive oil. Honey padded with syrup. Fish sold as something nobler than it is. Spices bulked out with garbage.

Niche Explored

Consumer-facing food fraud and adulteration intelligence — tracking what’s fake, diluted, substituted, or mislabeled in the global food supply, with per-commodity fraud risk scores, country-of-origin red flags, brand accountability, and “how to spot the fake” guides.

Differentiation from Previous Ideas

Shelf Check (2026-04-04 09:00) = food recalls (contamination, allergens, pathogens). Accountability for safety failures.
Label Crimes (2026-04-06 11:00) = food additives (what’s legal vs banned). Regulatory comparisons.
This idea = food fraud (what’s counterfeit, diluted, substituted). Economic deception. Completely different data sources, audience angle, and content type.

Existing Competition

PFAS Central / EWG — PFAS only, not food fraud
Food Fraud Database (FoodChain ID) — B2B, requires paid subscription, aimed at food industry professionals for GFSI compliance. Not consumer-facing.
EU JRC Monthly Food Fraud Summary Reports — Academic/regulatory reports, PDFs only, no consumer formatting, published monthly by the Knowledge Centre for Food Fraud and Quality
RASFF Portal — Raw EU alert database, searchable but no analysis, no narrative, no consumer guidance
Food Authenticity Network (FAN) — UK-focused, industry-facing, annual reports only
PFASNews.com — Different topic entirely
Consumed (Substack) — General food newsletter, touches fraud occasionally but not systematic
ConsumerLab.com — Tests supplements/some foods but paid reports, not automated fraud intelligence

GAP: ZERO consumer-facing, regularly-updated, beautiful, data-driven channel tracking food fraud globally with commodity scorecards, country risk profiles, and buying guides. The data exists in scattered government databases. Nobody is synthesizing it for regular people.

Data Sources Found

Primary (Free, Machine-Readable)

EU RASFF Portal & API — https://webgate.ec.europa.eu/rasff-window/screen/search + downloadable CSV
- Rapid Alert System for Food and Feed. Free. Updated daily. Covers all EU food safety notifications including fraud/adulteration.
- Filterable by hazard category “adulteration/fraud”
- Contains: product type, country of origin, notifying country, hazard description, distribution status
openFDA Food Enforcement API — https://api.fda.gov/food/enforcement.json
- Free, no auth required, JSON API
- All food recall/enforcement data, filterable by reason (many fraud-adjacent: mislabeling, undeclared ingredients, economic adulteration)
FDA Import Refusals Dashboard API — https://datadashboard.fda.gov/ora/api/
- Requires free API key registration
- Import refusals by country, product, violation type. Key fraud indicators: “filth”, “misbranding”, “adulteration”
EU JRC Food Fraud Monthly Summary Reports — Published as PDFs at https://knowledge4policy.ec.europa.eu/
- Monthly roundup of confirmed fraud cases across EU member states
- Parseable with PDF extraction tools
USP Food Fraud Database — https://www.foodfraud.org/
- Academic database of food fraud scholarly records (1980-2022+)
- Some free access, structured data on fraud methods by commodity
FDA CAERS (Adverse Event Reports) — https://open.fda.gov/apis/food/event/
- Free API, adverse events from foods/supplements/cosmetics
- Cross-reference with fraud to find cases where adulterated products caused harm

Secondary (Supplementary)

FAO/WHO INFOSAN — International Food Safety Authorities Network alerts
Europol/INTERPOL Operation Opson — Annual food fraud operation results (press releases, parseable)
Google Scholar API / Semantic Scholar — New food fraud research papers
PubMed API — Peer-reviewed food fraud studies with DOIs and abstracts

SEO Analysis

Keywords with opportunity:
- “is my olive oil real” — high search volume, weak consumer content
- “fake honey” / “honey adulteration” — perennial interest, spiked with EU regulation changes
- “food fraud” — ~15K monthly searches US, growing
- “adulterated food” — moderate volume, low competition
- “fake spices” / “adulterated spices” — seasonal spikes around holidays
- “mislabeled fish” / “seafood fraud” — major Oceana reports drive periodic interest
- “how to tell if olive oil is real” — classic evergreen query
- “[specific food] fake” — long-tail opportunity across dozens of commodities
Gap: Most content is news articles (one-off) or B2B reports. No SEO-optimized, regularly-updated commodity-by-commodity guide exists.
Competitor domain authority: Food fraud specific sites are mostly institutional (.eu, .gov) — commercial sites covering this are rare, meaning lower DA competition for a focused niche site.

Communities

r/foodscience (~170K members) — frequent food fraud discussions
r/cooking (~30M members) — “is my olive oil fake?” is a perennial post
r/EatCheapAndHealthy (~5M) — very concerned about getting ripped off
r/Supplements (~600K) — supplement fraud is adjacent
r/europe (~5M) — EU food regulation discussions get high engagement
Food fraud Twitter/X — @FoodFraudGroup, @USaborFraud, various academic accounts
Food safety LinkedIn — large professional community that would share and cite
TikTok — “fake food” and “food they banned in Europe” content gets millions of views

Market Size & Willingness to Pay

Food authenticity market: $8.49B in 2025, growing to $9.3B+ in 2026 (Research and Markets)
Consumer concern: 72% of consumers say they worry about food fraud (2024 GFSI survey)
Willingness to pay for trusted info: ConsumerLab.com charges $54/year and has 200K+ subscribers for supplement testing — food fraud is a larger, more universal concern
Adjacent revenue proof: Oceana’s seafood fraud reports generate massive PR + donations. EWG Dirty Dozen drives enormous traffic + donations.

Image/Graphic Feasibility

Commodity risk scorecards: Easily auto-generated with D3.js/Chart.js — per-food fraud risk ratings, country-of-origin heatmaps, historical trend lines
World maps: Country-by-country fraud origin mapping from RASFF data — gorgeous choropleth maps
“How to Spot the Fake” infographics: Per-commodity visual guides (olive oil color/smoke point, honey crystallization, spice purity tests)
Brand comparison tables: Which brands have been flagged in government databases
Fraud method taxonomy: Visual breakdown of dilution, substitution, mislabeling, artificial enhancement
AI-generated hero images: Each commodity article gets a dramatic AI illustration (e.g., honey being drilled, olive oil bottle under a magnifying glass)