2026-04-06

Spray Sheet

Government labs tested your food. We're publishing the receipts — chemical by chemical, strawberry by strawberry.

Consumer-facing pesticide residue intelligence — transforming USDA Pesticide Data Program lab results into per-food chemical profiles, US-vs-EU regulatory comparison scorecards, seasonal risk alerts, and weekly "what's really on your plate" dispatches. Not a scare site. A data site. Every claim sourced to a government lab report, every comparison grounded in actual Maximum Residue Levels, every recommendation backed by toxicology literature.

Niche Explored

Consumer-facing pesticide residue intelligence — translating government lab data into per-food, per-chemical scorecards and cross-regulatory comparisons (US vs EU vs Japan), with actionable buying guides, seasonal risk alerts, and weekly “what’s on your plate” dispatches.

Existing Competition

EWG Dirty Dozen / Clean Fifteen — The biggest name. Annual list, massive SEO, but shallow: ranks foods by number of pesticides detected without per-chemical toxicity weighting. Just released 2026 edition with PFAS-pesticide angle. No automation, manual annual releases, limited depth.
EWG Tap Water Database — Similar model for water. Proves the EWG audience exists but is water-focused.
TapWaterData.com — Filter reviews with PFAS focus. Affiliate model. Adjacent but different niche.
BiohackWithJack Substack — “Organic Does Not Mean Pesticide-Free” (Feb 2026, 11 likes). Shows growing creator interest in nuanced pesticide content beyond “buy organic.”
USDA’s own PDP reports — Raw data, no narrative. Government-speak. Annual summary only.
EU Pesticides Database — MRL lookup tool. Bureaucratic interface. No cross-comparison with US.

Gap Analysis

Nobody is doing:

Per-food, per-chemical residue profiles with toxicity weighting (not just “detected/not detected”)
US vs EU vs Japan regulatory comparison for each pesticide (massive viral potential — “banned in 40 countries, legal in your salad”)
Weekly/monthly updates as new PDP data releases or reg reviews happen
Beautiful, shareable infographics per food item
Seasonal risk alerts (which foods are worse at which time of year)
Cross-referencing PDP residue data with EPA registration review decisions

Data Sources Found

Primary — USDA Pesticide Data Program (PDP)

URL: https://www.ams.usda.gov/datasets/pdp/pdpdata
Format: Downloadable ZIP files with CSV/TSV, annual releases, 1992-2024 data available
Content: Lab results for ~10,000+ food samples/year, testing for 400+ pesticides per sample
Commodities: ~100 fresh/processed foods
Fields: commodity, pesticide, concentration, LOD, origin country, claim (organic/conventional)
API: Interactive query tool at https://apps.ams.usda.gov/PDP/PDP
Free tier: Unlimited, public domain data
Update frequency: Annual summary (January), but data is released in batches

Secondary — EPA Pesticide Registration Review

URL: https://www.epa.gov/pesticide-reevaluation/upcoming-registration-review-actions
Content: Which pesticides are under review, completed actions, decisions
Format: Web scrape or structured PDF tables
Cadence: Quarterly/rolling

Secondary — EU Pesticides Database (MRL Lookup)

URL: https://food.ec.europa.eu/plants/pesticides/eu-pesticides-database_mt
Content: Maximum Residue Levels for every pesticide × food combination
Can cross-reference with US EPA tolerances for “banned there, legal here” comparisons

Secondary — USDA FAS MRL Database

URL: https://www.fas.usda.gov/maximum-residue-limits-mrl-database
Content: MRL comparison across countries (EU, Japan, Korea, Codex, etc.)
Perfect for cross-regulatory comparison

Secondary — EU RASFF (Rapid Alert System for Food and Feed)

URL: https://food.ec.europa.eu/safety/rasff_en
API: Available via api.store
Content: Real-time notifications of pesticide border rejections, health risks
Free, structured, machine-readable

Secondary — WHO/FAO Codex Alimentarius

Codex MRL database for international comparison benchmarks

Supplementary — PubMed/OpenAlex

Toxicology studies for individual pesticides
Health effects meta-analyses
For AI-synthesis of “what does this chemical actually do to you” sections

SEO Analysis

“pesticides on food” — high volume, moderate competition (EWG dominates but with thin content)
“dirty dozen 2026” — massive seasonal spike (March)
“[specific food] pesticides” (e.g., “strawberry pesticides”, “apple pesticides”) — long-tail, low competition
“[pesticide name] health effects” — informational intent, low competition
“pesticides banned in Europe still used in US” — VIRAL search intent, moderate competition
“is organic worth it for [food]” — high intent, moderate competition
“PFAS pesticides” — NEW search term exploding (EWG 2026 report connection)
Estimated total addressable search: 500K-1M monthly searches across long-tail

Communities

r/organic (25K+ members)
r/OrganicFarming (15K+)
r/nutrition (3M+ members)
r/EatCheapAndHealthy (5M+ members)
r/PlantBasedDiet
Clean eating TikTok/Instagram community (millions)
“Banned in Europe” TikTok trend (billions of views across variations)
Parenting groups concerned about kids’ food safety

Image/Graphic Feasibility

Excellent. This niche is PERFECTLY suited to auto-generated graphics:
- Per-food “residue report cards” with color-coded ratings
- Bar charts: which pesticides, how much, vs safety limits
- World maps: “legal here, banned there” with color coding
- Seasonal calendars: “safer/riskier months” for each food
- Comparison infographics: conventional vs organic residue levels
- Timeline charts: how residue levels changed over years
All data-driven, all automatable via chart libraries (D3, Chart.js, Recharts)

Monetization Signals

PFAS filtration market: $3.28B by 2031 (MarketsandMarkets, Feb 2026)
Organic food market: $63B US (2024), growing 4-5%/year
Water filter affiliate: Existing sites earn $50-200/article in commissions
Produce wash products: Affiliate opportunity ($15-40 products)
Home test kits: Pesticide residue test kits for consumers ($30-100)
Organic delivery services: Affiliate for Imperfect Foods, Misfits Market, etc.
Newsletter premium tier: Personalized “shopping guide” based on what you buy
Sponsorship: Organic brands, clean-label companies desperate for placement