FAXTR vs Veritier

FAXTR is a fact-checking platform for reviewing claims, headlines, articles, article URLs, and LLM-generated text. It aggregates verdicts from more than 100 fact-checking organizations across more than 50 countries, rather than making its own final judgment on whether a claim is true or false. Visitors can make three checks without signing up; signing up provides more checks and history. FAXTR says it gathers data from the Google Fact Check Tools API and Google News RSS three times daily. For integrations, it offers a REST API with JSON responses at https://api.faxtr.com/v1. Verification endpoints are in private beta and require access; the API also includes a /v1/guard endpoint for scanning LLM responses for misinformation. FAXTR Verified records source and receipt details, source-text and debunk matches, and a published SHA-256 fingerprint of an article body. Publishers add it with one server-rendered link per article, without JavaScript or a runtime dependency on FAXTR. The Free plan is free, billed monthly; Starter is $49 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.