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RELEASE_NOTES_v3.2.0.md

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AI Price Radar v3.2.0 — Productization & Evidence

This release turns the trusted-pricing foundation into a more complete public data product.

Highlights

  • Official list-price references with source links and verification dates for supported flagship plans.
  • Product data-quality scores and factual source scan-health indicators.
  • Daily aggregated trusted-lowest, median-price and in-stock trend data.
  • Browser-local watchlists plus privacy-preserving Atom price/restock feeds.
  • Complete offer filters across catalog and product pages.
  • Public methodology, privacy, terms, security, developer and correction-log pages.
  • Public correction summaries and optional merchant responses, without exposing private contact data.
  • Generic source connector interface and merchant HTTPS JSON Feed support.
  • Merchant Feed submissions alongside LDXP shop submissions.

API additions

  • Expanded product/catalog metrics: trusted, comparable and in-stock counts under one snapshot scope.
  • official_reference, data_quality_score, source_count, source_health and trend fields.
  • GET /api/v1/corrections.
  • GET /api/v1/watch.atom?targets=slug:target_price.

Upgrade

  1. Back up PostgreSQL.
  2. Run the existing v4 migration when upgrading from a pre-3.1 database.
  3. Run python scripts/migrate_productization_v5.py --database-url "$DATABASE_URL".
  4. Deploy API and Web together because public response types have expanded.
  5. Run API, pipeline and Web release gates before tagging.

No existing offer or history data is deleted.