Build Your Own Watchlist & Adverse Media Engine with APIs

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.

Custom AML screening engines can give businesses greater control over risk management and regulatory compliance by replacing rigid, one-size-fits-all workflows with modular systems tailored to customer segments, regions, products, and risk appetites. Such engines combine global sanctions and law-enforcement watchlists, PEP and associate data, real-time adverse media, and financial-crime intelligence to build more complete risk profiles. Composable APIs and no-code orchestration can support granular data access, custom decision flows, dynamic risk scoring, and automated case routing, helping reduce manual reviews and false positives. Effective adverse-media screening additionally relies on semantic analysis, entity resolution, structured match data, and continuous monitoring rather than simple keyword searches. Didit presents its AI-native, developer-focused platform as a foundation for these workflows, offering free core KYC, access to more than 1,300 watchlists, PEP coverage, adverse-media analysis across more than 415 risk categories, and integrations with identity verification, face matching, and proof-of-address tools.

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