Inspects documents for tampering, ineffective redactions, and text aimed at language models before they enter an agent's context, and compares documents to confirm whether they are unchanged.
The deterministic fact-verification layer for AI agents. Validates the structured facts an agent emits — IBANs, payment cards, VAT and national tax IDs, crypto and bank addresses, domains, emails, phone numbers, securities and academic identifiers, plus dates, currencies and holidays — against checksums and curated authoritative data, not guesses.
Document verification for AI agents: forensic authenticity signals for PDFs and images, field extraction, Australian identity checks, adverse-media and sanctions screening, AU/NZ government tender search, AI-text detection, and citation verification. Hosted with a free anonymous tier; the repo ships a Dockerfile that bridges to the live endpoint.
Verified validation of structured identifiers — IBAN, payment cards, ISBN-13 and VIN — for AI agents. Runs the real checksum algorithms (mod-97, Luhn, mod-10, ISO 3779) instead of letting the model guess, and returns structured results with clear errors.
Enables agents to inspect PDF, Microsoft Office, and Apple iWork documents without rendering them, providing page/slide counts, metadata, security signals, structure, and integrity as deterministic JSON via typed tools and batch operations.