fileForensics launches evidence-first file checks

This is a practical trust layer for agentic document workflows, but its value depends on treating flags as review signals—not automatic fraud verdicts.

• –Evidence-backed findings are more useful than an opaque authenticity score in regulated workflows.
• –API and MCP support make it easy to add pre-processing checks to agents using Claude, Cursor, or Codex.
• –Async runs and potentially slow web-presence checks may complicate latency-sensitive upload flows. [Docs](https://docs.file.ai/verify/forensics/)
• –False positives remain the central risk: legitimate exports, merges, and signatures can look edited, so human review still matters. [Product Hunt](https://www.producthunt.com/products/fileai-ai-ocr)