PreCheck.ai

PreCheck.ai is an AI mistress tool. PreCheck.ai runs reverse face searches across news sites, social platforms, court records and forums, returning matches with sources and accuracy scores. Available on the web, through a Telegram bot and as a pay as you go API at $1 per search.

PreCheck.ai is a facial recognition search service that works from a single uploaded photo. The system scans a broad set of online sources, including news sites, social media, forums, court and mugshot databases and government pages, then returns candidate matches with sources and accuracy scores. The homepage frames the product around privacy, reputation and fraud use cases: finding where your own images have surfaced, spotting unauthorized use by others, and gathering open source material for investigations. The workflow is deliberately short. You can start on the web app, through a Telegram bot, or via a documented API. Searches run in seconds according to the site, and results can be narrowed with filters such as date or platform (Instagram and Facebook are named as examples). A removal request flow sits alongside the search results, so that a match can be followed up with a takedown ask rather than only reported. Login is by email or Google, and the account area shows a credit balance that can be topped up. Developers get the most concrete path. One POST request with an image URL returns matches as JSON or as a shareable results link, with code samples in JavaScript, Python, PHP and cURL, and the site says the endpoint can be wired into Claude or OpenAI tool calling. Pricing is payable as you go at $1 per search. The product is positioned for investigators, journalists, models, business owners and legal teams, though the same accuracy claims make it equally relevant to due diligence and identity checks. The main caveat is one of scope. A face search is an open web lookup, not a verified identity check: results are candidate matches with scores, and they still need human review before anyone acts on them. The public homepage carries strong fraud prevention percentages without a published benchmark, and coverage of private or closed databases is not spelled out. Buyers comparing it with dedicated KYC vendors should treat PreCheck as an investigative and monitoring layer rather than a compliance system of record.