Build Dynamic Verification Pipelines with Didit's Workflow API in Python
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's platform offers a sophisticated no-code visual builder for creating complex identity verification workflows, catering to diverse business needs with both a template-based Simple Mode for rapid deployment and a Complex Mode for detailed customization. It integrates seamlessly with Python, allowing businesses to programmatically generate secure verification links and manage sessions, facilitating dynamic and automated identity verification processes. The platform's AI-native, modular architecture supports comprehensive identity checks such as ID Verification, Liveness, Face Match, AML Screening, and Proof of Address, ensuring robust compliance with regulations like KYC and AML. Didit's Workflow API, when combined with its developer-friendly features, empowers businesses across various sectors to onboard users quickly and securely, leveraging a global reach and superior fraud prevention capabilities without incurring setup fees.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 3 | 13,979 | 3,441 | 296 | +113% |
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