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RefereeAhead vs DidWork

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

RefereeAhead compared with DidWork
DetailRefereeAhead logo RefereeAheadDidWork logo DidWork
What it doesAI pre-submission peer review for life-science manuscripts Independent verification for AI agent outcomes
StageNot given Startup
FoundedNot given Not given
Based inNot given Not given
Pricing modelPaid Freemium
PricingFree readiness scan. Full report $29 per manuscript. Revision pack 3 reports for $69 ($23 per report). Lab pack 5 reports for $99 ($19.80 per report). Credits never expire. Hobbyist: free forever with 250 checks/month; Pro: $9/month with 2,500 checks/month, $0.01 per extra check
Key features
  • Two independent review passes merged for higher accuracy
  • Free readiness scan in 3 minutes
  • Full report ready in about 30 minutes
  • Manuscripts deleted after 30 days and never used for training
  • Track issues across revisions
  • Major and minor concerns ranked by severity
  • PDF export and 7-day share link for reports
  • 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
  • Publishes accuracy metrics on real peer reviewer data from eLife
  • Includes reference verification that general chatbots cannot provide
  • Credits never expire and work on any manuscript
  • Refund guarantee for reports with fewer than three substantive issues
  • 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

5 details filled in for both companies.

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