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OpenErrata

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Overview

Crowdsourced, inline LLM investigations of the things you're reading.

OpenErrata fact-checks posts on Wikipedia, X, LessWrong, and Substack using frontier AI models with web search. When you visit a post that's been investigated, incorrect claims get a red underline. Hover for a summary of what's wrong. Click for full reasoning and source links. Posts with no issues show nothing — the extension stays out of your way. How it works: - The AI reads the full post, searches the web, and identifies claims that are demonstrably incorrect - Only flags things with concrete evidence against them — disputed claims, jokes, and ambiguity are left alone - Every investigation is public and auditable: the prompt, reasoning, and sources are all inspectable You can trigger investigations yourself with your own OpenAI API key, or wait for the community-driven queue to pick up popular posts. Once an investigation is completed Supported platforms: LessWrong, Substack (including custom domains), X/Twitter (Sort of), OpenErrata is fully open source. Code, spec, and design goals are public at https://github.com/ZeroPathAI/OpenErrata.

Details

  • Version
    0.3.2
  • Updated
    March 5, 2026
  • Size
    217KiB
  • Languages
    English (United States)
  • Developer
    ZeroPath
    2261 Market Street San Francisco, CA 94114 US
    Email
    dean@zeropath.com
    Phone
    +1 424-459-4845
  • Trader
    This developer has identified itself as a trader per the definition from the European Union and committed to only offer products or services that comply with EU laws.
  • D-U-N-S
    138386129

Privacy

Manage extensions and learn how they're being used in your organization

OpenErrata has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

OpenErrata handles the following:

Location
Website content

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

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