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Fileverity vs DidWork

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Fileverity compared with DidWork
DetailFileverity logo FileverityDidWork logo DidWork
What it doesImage and document authenticity verification Independent verification for AI agent outcomes
StageNot given Startup
FoundedNot given Not given
Based inCA Not given
Pricing modelFreemium Freemium
PricingFree Flash check per account (one image and one document). Image Pro: US$2.99 per report, US$23.90 for 10 reports (US$2.39 each), US$159 for 100 reports (US$1.59 each). Doc Pro: US$8.99 per report, US$69.90 for 10 reports (US$6.99 each), US$489 for 100 reports (US$4.89 each). Enterprise with API, on Hobbyist: free forever with 250 checks/month; Pro: $9/month with 2,500 checks/month, $0.01 per extra check
Key features
  • Detects text changes after saving or digital signing
  • Generates traceable, timestamped reports verifiable by anyone
  • Supports on-premises and fully offline deployment for Enterprise
  • Files never retained after analysis
  • Independent outcome verification with VERIFIED, FAILED, or UNKNOWN status
  • First-party adapters for Stripe, GitHub, Linear, Sentry, Resend, and HTTP endpoints
  • MCP integration with Claude Code, Cursor, and any MCP host
  • GitHub Actions required check that fails on unverified claims
  • Audit trail storing claims, evidence, and verdicts separately
  • Capability inspection before agents call tools
  • Read-only credential access with AES-256-GCM encryption
  • Continuous monitoring with watches every 5-10 minutes on Pro plan
  • Evidence retention for 7 days on Hobbyist, 1 year on Pro
What makes it different
  • Files are never retained or used for training data
  • Proprietary models continuously updated for all major generator families in one analysis
  • Traceable, RFC 3161 timestamped reports bound to exact file by SHA-256 fingerprint
  • Evidence-based findings instead of single scores with detailed basis and recommended actions
  • On-premises deployment option with full offline capability and DPA for regulated environments
  • Refuses to guess: returns UNKNOWN rather than false positives when evidence is unreachable
  • Neutral gate between agent execution and success verification
  • Runs the same way in production as in development
  • Never needs write access, only reads authoritative state
  • Structured audit trail for debugging and agent evaluation
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check2 no change since last check
Trust Flow (Majestic)01
Citation Flow (Majestic)023
Referring domains (Majestic)014

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