ClaimCrush vs Crowdee

ClaimCrush is a paid claim-verification service for articles, videos, broadcasts, social posts and other submitted material. You can paste a URL or draft, upload or link a video, monitor a live broadcast, or submit a social post or thread. It detects claims and checks them automatically against sources, returning evidence and citation links. Video processing transcribes claims and adds timestamps for frame-accurate review. Sources receive scores from 0 to 100; ClaimCrush says higher-credibility sources determine verdicts while weaker sources remain visible. Supported social services include X/Twitter, TikTok, Instagram, Discord, YouTube, Twitch and Kick. The Chrome extension analyzes video, images, text, documents and live conversations, with live checking for listed streams and calls. Debate rooms support public or private access, shareable codes, per-seat cards, audience votes and an AI verdict. An Android app adds logic and evidence modes, clip uploads and saved history. Starter costs $15 a month; Pro costs $20 a month.

Crowdee is a content-verification platform for checking articles, social posts, images, audio, video, documents, URLs and claims. It combines automated triage with access to more than 1 million screened crowd workers, who can provide independent verdicts, reviewer agreement and written reasoning. Its 14 pipelines cover media, text and documents, social and web context, identity and multi-file checks; automation, APIs and scheduled pipelines support different workflows. Evidence and reviewer feedback can be exported in a PDF dossier for editorial or legal review. Pay-as-you-go and higher plans include a REST API. The free plan allows one image check per IP address every 24 hours, with uploads up to 10 MB. Pay-as-you-go costs €0.05, paid once, with no commitment. Managed Campaigns and Enterprise use custom pricing. Crowdee lists hosting on dedicated servers in German data centres, with automation hardware in Berlin, and says customer content is not used to train foundation models. It is aimed at newsrooms, compliance teams and AI researchers.