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Didit vs FrankieOne: one platform or an orchestration layer

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
3,030
Company Posts That Month
126
Language
English
Hacker News Points
-
Post removed?
No
Summary

Didit’s vendor-authored comparison presents Didit as an integrated identity, business verification, AML, transaction-monitoring, and crypto-screening platform that operates checks under a single data model, API, account, and publicly listed per-check prices, while portraying FrankieOne as an orchestration service that connects customers to third-party vendors and controls vendor selection and routing. Citing public documentation reviewed on 25 October 2026, it states that FrankieOne customers cannot configure vendors, routing, or fallback logic through its API and must request pricing based on requirements, whereas Didit users can build branching workflows, view step-level pricing, and access evidence such as extracted fields, images, videos, and warnings. The comparison highlights Didit’s listed $0.33 full KYC check, $0.15 wallet screening, $0.02 transaction monitoring, and KYB services from $2.00, alongside AI features including an Investigator review agent, workflow-building Copilot, and an MCP server that can act on authorized account data; it contrasts these with FrankieOne’s documented MCP tool for searching product documentation. It also describes Didit’s registry checks, linked owner KYC, transaction-monitoring rules, reporting exports, and suggested staged migration process, while acknowledging that the assessment reflects Didit’s perspective and is not legal advice.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
MCP 14 10,773 1,060 224 +2%
AI Coding Assistant 6 1,667 461 135 +5%
AI Agents 2 5,905 1,416 252 +6%
Observability 1 2,660 643 175 -4%
Real-time 1 3,483 932 225 -28%
Use This Data

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.