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
akta.pro is a private company data and signals API for accessing structured company intelligence and real-time news signals. It supports API, MCP, CLI, and bulk export workflows for builders, data teams, and agents.
Private company data and signals for API-first 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.
Core capabilities
Entity resolution
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.
News and signals monitoring
Monitor company, industry, or topic-level news with deduplication, sentiment, impact scoring, event categorization, and historical archives.
Multiple access paths
Expose the product through API, MCP, CLI, and bulk data delivery so teams can use the same data in applications, agents, and offline workflows.
Agent-oriented output design
Return filterable and compact payloads with deterministic schemas and source metadata so downstream systems can parse and verify results more easily.
Published benchmarks
Provide benchmarked news retrieval with published study data comparing accuracy, recall, and cost across providers.
Practical use cases
Power API-first applications
Build internal tools, data products, or agent workflows that need structured company records and machine-readable outputs.
Private company research
Track private-market companies for sourcing, diligence, market mapping, or portfolio monitoring using resolved company IDs and rich fields.
Signals and alerting
Monitor companies, industries, or themes for news events, sentiment shifts, and impact-scored updates with archived history.
GTM and customer intelligence
Use entity resolution and de-duplicated feeds to improve outreach, account intelligence, and segmentation in sales and marketing systems.
Agent and pipeline operations
Generate cleaner inputs for workflow automation or analytics pipelines where compact payloads, source attribution, and stable schemas matter.
Pros and Cons
Pros
- Covers both company data and news signals in one product.
- Provides entity resolution to reduce duplicates and misattribution across sources.
- Supports multiple access methods, including API, MCP, CLI, and bulk export.
- Publishes benchmark data for news retrieval quality and cost.
- Uses pay-as-you-go pricing alongside subscription and enterprise options.
Cons
- The source does not provide full documentation for every integration or workflow on the public pages reviewed, so teams may need to consult the docs for implementation details.
- Some capabilities are described at a high level on the homepage, and the coverage for use cases and integrations is partial rather than exhaustive.
- The pricing page shows limits and plan structure, but not all overage or enterprise commercial terms are public.
FAQ
How do users access akta.pro?
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.
What pricing options are available?
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.
What kinds of data does akta.pro return?
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.
What are the main use cases?
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.
What should teams know before integrating?
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.
Quick Facts
- Category
- Private company data API
- Primary data scope
- 20M+ global companies
- News scope
- Companies, sectors, or natural-language topics
- Access methods
- API, MCP, CLI, bulk export
- Pricing model
- Pay-as-you-go, subscription, enterprise
- Company/site
- akta.pro
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