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Didit vs Onfido (Entrust): Why Companies Are Switching to Didit

Blog post from Didit

Aggregate trend data notice

Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

This company's pages remain public, but its content is excluded from normalized aggregate trends. Unfiltered raw trends and advanced filtering are available to Accelerate and Lead accounts.

Post Details
Company
Date Published
Author
Didit
Word Count
1,612
Company Posts That Month
17
Language
English
Hacker News Points
-
Post removed?
No
Summary

Didit’s comparison positions its identity verification platform as a lower-cost, faster, and broader-coverage alternative to Onfido, now owned by Entrust. It claims that Didit charges $0.30 per core KYC check, includes 500 free monthly verifications without contracts or card details, and supports more than 220 countries, 14,000 document types, and 48 languages, while Onfido is described as using custom enterprise pricing and covering 195+ countries and 2,500+ documents. The comparison highlights Didit’s claimed sub-two-second verification, real-time fraud analysis across more than 200 signals, government-database and photo matching, reusable KYC, phone and email verification, white labeling, and AI-agent integration through an MCP server. It acknowledges Onfido’s established reputation, AI/ML capabilities, and Entrust backing, but argues that its slower processing, contract requirements, narrower feature set, and less self-service developer experience make it less suitable for many startups, global businesses, and cost-conscious teams.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 9 5,174 1,177 267 +34%
MCP 8 2,270 107 59 +770%
AI Agents 6 2,565 399 151 +29%
Developer Experience 4 433 208 102 +15%
Use This Data

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