Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
DeepLedger is a SaaS platform for public-records search. It aggregates data from sanctions lists, offshore companies, aircraft registries, nonprofit tax filings, court/corruption cases, campaign finance records, FOIA files, and more, with an emphasis on “one search, cross-source cross-referencing.” Its core value is not querying a single database, but matching names, companies, aircraft tail numbers, addresses, or keywords across multiple public datasets to help uncover entity relationships and unusual leads.
The platform has indexed around 9.3M+ records, covering datasets such as Epstein FOIA, JFK, Lava Jato, ICIJ Offshore Leaks, OFAC, FAA, IRS 990, FEC, FinCEN, TSE, and others. Features include search, filtering by dataset/entity type/country, cross-reference, multi-level entity-relationship traversal, document retrieval in PDF and Markdown, and export in CSV/JSON/NDJSON. It is also developer-friendly: starting from Pro, it provides a REST API with endpoints for search, cross-ref, batch cross-ref, entity, connections, document, and more. It also offers OpenAPI 3.1, llms.txt, a CLI, and support for AI coding tools and custom Agent workflows. Enterprise further adds streaming, dedicated API keys, MCP server integration, and SLA coverage.
Pricing is straightforward: Free is $0, but the site contains inconsistent descriptions—one place says “10 searches per day/no signup needed,” while another says “10 lifetime searches/create account.” The pricing page clearly states that the free plan does not include API access. Pro costs $5/1,000 searches, with credits that do not expire, and includes REST API access, 5K document exports, CSV/JSON bulk export, and priority support. Enterprise is custom-priced for unlimited searches, bulk streaming exports, and integration projects. Payments are handled via Stripe credit card, while enterprise customers can pay by invoice.
Its strengths are the investigative value of its combined datasets, plus cross-referencing and relationship traversal that are useful for due diligence, investigative journalism, compliance screening, and research. Its API and export formats are comprehensive, making it suitable for automated analysis. The downsides are that the platform states public records are presented as-is and does not guarantee accuracy, completeness, or timeliness, so any critical conclusions must be verified against original sources. It also does not disclose enterprise governance details such as SOC 2, GDPR, encryption, audit logs, or team permissions, and its team-collaboration capabilities are unclear.
Access from mainland China is not described and should be tested in practice. Stripe credit-card payment may also be a barrier for some users in China. For Chinese company information lookup, alternatives include 企查查, 天眼查, and 启信宝. For global sanctions, offshore, and public-records investigations, consider comparing it with Sayari, OpenCorporates, the ICIJ database, LexisNexis, Dow Jones Risk & Compliance, or Refinitiv World-Check.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on deepledger.co official site.
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