Didit vs Trust Stamp: published prices vs a quote-led KYC suite
Blog post from Didit
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.
Didit is presented as a developer-focused identity and fraud-prevention platform with published pay-per-use pricing, contrasting with Trust Stamp’s sales-led, quote-based commercial model and biometric IT2 tokenization approach. Its core KYC bundle costs $0.33 per successful verification, combining document verification, passive liveness, face matching, and device/IP analysis, while optional services include AML screening, KYB, transaction monitoring, digital-ID verification, crypto compliance, and contact-risk checks. Both platforms support document and biometric verification, liveness detection, NFC reading, watchlist screening, and workflow orchestration, although the comparison characterizes Didit as offering broader integrated compliance operations and direct reviewer access to verification results, images, extracted fields, and warnings. Didit states that it maintains SOC 2 Type 1 and Type 2 reports and ISO/IEC 27001 certification, supports more than 14,000 document types across over 220 countries and territories, and provides case management plus an AI Investigator agent for reviewed items. The material also outlines a migration path from Trust Stamp involving parallel testing, workflow recreation, historical-data import, validation, and eventual traffic cutover, while noting that Didit’s free plan was scheduled to include $10 in monthly credit beginning November 1, 2026.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 4 | 4,439 | 399 | 125 | -63% |
| Real-time | 4 | 955 | 275 | 115 | -77% |
| AI Coding Assistant | 2 | 814 | 184 | 89 | -58% |
| AI Agents | 1 | 2,668 | 495 | 155 | -62% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.