Read any X / Twitter thread as a brief: who's arguing, what's sourced, what's noise. Receipts — See what a thread is actually arguing about. You open a thread. There are 400 replies. Half are dunks, half are people talking past each other, and somewhere in the middle is the actual argument. Receipts reads the whole thing and gives you one screen: the real claims, the evidence quality, the logical gaps, and who's on which side — so you can decide if it's worth your time before you spend it. What you get Debate map — similar arguments grouped together even when worded differently. See who's backing the claim, pushing back, or hedging. Source check — we pull the core factual claim from each side and check it against the live web. Verdict, confidence level, source breakdown. Coverage summary — replies read, noise filtered, for vs against. Right up top. Reply drafts — pick a stance and a tone (Objective, Contrarian, Consensus Builder) and Receipts drafts something you can edit before you post. Nothing goes out without you. Reads images too — claims hiding inside screenshots and memes get caught, not just text. What it won't do Tell you who's right. You decide. Touch your DMs or private timeline. Public threads only, when you ask. Make the internet polite. We tried. Pricing Free. We're opening to the first 100 users — install now and you're in. Privacy We only process threads you explicitly ask us to read. Opt out of training data, export everything, or delete your account anytime in Settings. Full policy: https://api.usereceipts.app/privacy
Jun 13, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.