iP

iPickPet

Decision-first pet nutrition

Our Methodology

Evidence-aware. Source-backed. Transparent.
Decision support for better pet choices.

Our methodology explains how iPickPet presents source-backed facts, confidence framing, ingredient interpretation, and review-first scanner output. Evidence-aware readiness work is currently internal and supports explanation review only.

Data Confidence reflects source completeness, not product quality. There is no public product score yet.

No evidence_level is populated, no medical claims are made, and no reviewRating or ratingValue is published.

Evidence-First

We prioritize verified sources and transparent criteria.

Explainable

You can inspect the factors behind active decision-support outputs.

Pet-First

Every decision supports pet wellbeing over marketing.

Runtime Status

Runtime Status (May 29, 2026)

Active now

  • - Data Confidence
  • - Label Completeness / missing-value behavior
  • - Ingredient Classification boundaries
  • - Scanner Ingredient Review (review-first)
  • - Evidence-aware readiness planning for explanation review only

In development

  • - Diet Match Score as formal public methodology

Not active yet

  • - Product Score Methodology Placeholder (pending runtime parity)
  • - Supplement Review Methodology Placeholder (pending runtime parity)
  • - Evidence-linked public scoring

Our Guiding Principles

Independent

Not owned by pet food brands or retailers.

Transparent

Data sources and methodology boundaries are visible.

No Hidden Agendas

No promotional products in ranking logic.

Continuous

Methodology records and public wording update as runtime capabilities evolve.

Expert-Informed

Guided by veterinary nutrition expertise.

Balanced

Tradeoffs include benefits, risks, and context.

What is active in methodology today

Data Confidence

Source completeness framing only. Data Confidence reflects source completeness, not product quality.

Evidence-Aware Readiness

Internal readiness work maps reviewed AAFCO adequacy and life-stage claims to explanation-eligible modules. It does not activate public scoring, populate evidence_level, or rate products.

Label Completeness

Missing-value behavior helps interpretation of coverage gaps. Completeness does not equal correctness or quality.

Ingredient Classification

Educational interpretation boundaries are context-aware. Unresolved ingredients remain reviewable instead of forced into certainty.

Scanner Ingredient Review

Review-first workflow: OCR/manual text is reviewable and not verified truth. Helpful/Caution/Unknown are educational categories, not medical verdicts.

We document sources, confidence boundaries, and methodology status so you can inspect what is active now, what is internal only, and what is still pending.

See Our Data & Sources

Data sources and references

iPickPet combines official brand pages, recognized nutrient-profile frameworks, reviewed evidence fixtures, and transparent methodology records. AAFCO adequacy and life-stage claims support label context, not approval, endorsement, superiority, or individual suitability.

Evidence claims support explanation review and do not by themselves rank, rate, diagnose, prove product quality, or populate score or evidence_level fields.