Deep company database
Access company intelligence on 20M+ global entities with 70+ to 75+ data points per company, including firmographics, business model, financial estimate, funding, M&A, location, management, product, and technology fields.
akta.pro is a private company data and signals API for structured company intelligence and real-time news signals. API, MCP, CLI, and bulk export workflows.
akta.pro is a private company data and signals API for teams that need structured company intelligence and real-time news signals. The site presents the product as a way to access data on more than 20 million private companies, with entity resolution across company records and signals.
The platform is built for API-driven and agentic workflows. Its published materials describe access through API, MCP, CLI, and bulk export, with deterministic schemas, source attribution, and compact responses intended to reduce parsing overhead in pipelines and AI-agent systems.
The product is split into two main data offerings: a Company Data API with firmographics, financial estimates, funding, M&A, technology, and other company fields; and a News Signals API that monitors companies, industries, or natural-language topics, with deduplication, sentiment, impact scoring, and historical coverage.
Pricing is usage-based rather than seat-based. The pricing page lists pay-as-you-go, subscription, and enterprise options, which suggests the service can be used by individual builders as well as teams that need larger or more regular volumes.
Access company intelligence on 20M+ global entities with 70+ to 75+ data points per company, including firmographics, business model, financial estimate, funding, M&A, location, management, product, and technology fields.
Resolve company names, domains, and subsidiaries into a single entity ID so records from your own systems and akta.pro can map to the same company.
Monitor company, industry, or topic-level news with deduplication, sentiment, impact scoring, event categorization, and historical archives.
Expose the product through API, MCP, CLI, and bulk data delivery so teams can use the same data in applications, agents, and offline workflows.
Return filterable and compact payloads with deterministic schemas and source metadata so downstream systems can parse and verify results more easily.
Provide benchmarked news retrieval with published study data comparing accuracy, recall, and cost across providers.
Build internal tools, data products, or agent workflows that need structured company records and machine-readable outputs.
Track private-market companies for sourcing, diligence, market mapping, or portfolio monitoring using resolved company IDs and rich fields.
Monitor companies, industries, or themes for news events, sentiment shifts, and impact-scored updates with archived history.
Use entity resolution and de-duplicated feeds to improve outreach, account intelligence, and segmentation in sales and marketing systems.
Generate cleaner inputs for workflow automation or analytics pipelines where compact payloads, source attribution, and stable schemas matter.
akta.pro provides access through an API, with additional access paths through MCP, CLI, and bulk export. The site also includes an API Playground and API Docs for exploring the product.
The pricing page shows a pay-as-you-go plan, a subscription plan, and an enterprise option. Pay-as-you-go starts at $0.05 per credit, while the subscription plan is $50 per month with 1,250 credits and a lower per-credit rate.
The Company Data API focuses on company records such as firmographics, business model fields, financial estimates, funding and M&A details, location, management profile, product offering, strategic signals, customer profile, industry, technology, hierarchy, and digital presence fields. The News Signals API focuses on entity-resolved news, sentiment, impact, categorization, and historical archives.
The news product is designed to monitor companies, industries, or open-ended topics in natural language, and the company data product is designed around resolved company entities across a 20M+ company graph.
The source describes deterministic schemas, filterable and compact payloads, source attribution, and native OpenAPI support. It does not provide a full implementation guide for every workflow, so teams should review the docs and API Playground before integrating.
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