ClaimCrush vs Veritier

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.

Veritier extracts checkable claims from text, URLs, PDFs, and images, then compares them with live web evidence or private references. Results provide a verdict, confidence score, plain-language explanation, and source links. The service is available through a REST API, MCP server over Streamable HTTP, local stdio proxy, and browser interface, with parsing and OCR built into its pipeline. The attest_action endpoint checks named records such as npm, PyPI, CourtListener, SEC EDGAR, and the U.S. Code, blocking actions when records cannot be confirmed. Attestations create Ed25519-signed Claim Credentials that can be checked through JWKS and revoked; credentials remain for 400 days. Requests can use webhooks and signed retries. Free-tier text may be retained and used to improve models, while paid-tier payloads are processed ephemerally and excluded from foundation-model training. The free tier allows 25 verifications monthly; paid plans start at $19.99 a month. Verdicts and confidence scores are probabilistic.