Verity — Nnaemeka Eziamaka

Verity — Know the story behind your product. Counterfeit consumer products in Nigeria can arrive in convincing packaging, leaving shoppers unable to assess a seller’s explanation. Verity helps a buyer inspect the recorded journey of an individual product and investigate inconsistencies before paying. A copied QR code alone is never treated as proof of authenticity. Built during the hackathon: a React/TypeScript consumer interface, QR camera and image-upload decoding, a partner workflow for custody, sales, linked returns and restocks, a Cloudflare Workers/D1 backend, and a live Muse Wonder investigation with inspectable evidence and an actual retrieval trace. The demo contrasts two cases: a previously sold item offered again with a seller-supplied return document that refers to another serial and sale, versus a legitimate return and restock linked to the original sale. Exact identifier, chronology and lifecycle checks support the verdict; Muse retrieves relevant records, evaluates the seller’s explanation, and recommends evidence-backed next checks. The interface distinguishes the model’s statement from deterministic record checks. Engineering includes atomic partner updates, idempotent retries, isolated demo sessions, evidence-snapshot validation, stale-result invalidation, bounded tool calls, citation validation and explicit live-provider failure states. The recorded live investigation made five retrieval calls across three Meta API requests in approximately 14 seconds. All products, businesses and supply-chain records in the demo are fictional. The model investigation is live. Verity does not certify that a physical item is genuine or safe. A real deployment depends on manufacturer and retailer participation; the next step is a small pilot to test record quality and buyer usefulness. Try the live demo: https://verity.eziamakanv.workers.dev Select “Seller says it was returned”, then “Review evidence”. Compare with “A return that checks out”.