Crowdee vs Eustace

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.

Eustace is a web-based fact-checking workspace for writers and researchers working with AI-assisted drafts. Users can paste text or import a URL, PDF, or Word file; scanned PDFs are processed with OCR. The service extracts candidate factual claims and displays their original quotes so users can select which to verify. Approved claims are checked against fresh web sources rather than the submitted document. Its ledger uses ten verdicts and three confidence levels, and the product says it signals uncertainty when evidence is thin or mixed. Users can inspect sources, attach private evidence, override a verdict with the change recorded, and export a Markdown report with claims, verdicts, confidence, and citations. Eustace says it does not sell user data or use documents to train AI models. The Free plan provides 25 lifetime verifications; Pro costs $19/month for 500 each month, with optional $0.05-per-claim overage turned off by default. Automated verdicts, confidence labels, and summaries can be wrong, incomplete, or out of date, so they are intended to support rather than replace editorial judgment.