About akta.pro
akta.pro is a private company data and signals API launched this week on Product Hunt. It provides structured company data on 20M+ businesses with 70+ fields, plus 100+ event signals and news feeds. The product is built for AI agents, financial services teams, and GTM teams, with consumption-based pricing rather than per-seat fees.
Review
akta.pro positions itself as an alternative to legacy databases like PitchBook and ZoomInfo, claiming 2x the coverage of the former and 4x the depth of the latter. The API layer includes company fundamentals, qualitative fields like competitive moat and GTM motion, and real-time news signals that are de-duplicated and mapped to company IDs. The service is available via API, MCP, or CLI, and the team reports 93%+ entity-mapping accuracy on their benchmarks page.
Key Features
- Company data API with 20M+ companies and 70+ fields, including firmographics, funding history, investors, revenue estimates, and management details.
- Qualitative fields that most databases skip: competitive moat, business model, GTM motion, tech stack, and AI maturity.
- News and signals layer tagged across 100+ event types such as funding rounds, exec changes, and expansion, with impact and sentiment scoring.
- Alternative signals tied to the same company ID: headcount trends, web traffic, job posts, social posts, and reviews.
- Entity resolution performed at ingestion time, not in the query path, which the team says removes roughly 80% of feed noise before responses are served.
Pricing and Value
akta.pro runs on pay-as-you-go pricing with a free tier of 50 credits on signup. The team states company data runs 5x cheaper than legacy databases like PitchBook, and news retrieval runs 10x cheaper than routing the same work through Claude or Parallel search APIs where token spend drives cost. A launch coupon code PH50 provides 50 credits at playground.akta.pro/signup. No annual contracts or per-seat fees are mentioned; pricing scales with API consumption.
Pros
- Consumption-based pricing removes the per-seat constraint that penalizes bursty enrichment workflows around campaigns.
- News signals are updated real-time as events get covered by major publishers, so trigger events appear without time lag.
- Company refresh cycles are field-aware: event-driven fields update in real time, headcount refreshes monthly, and stable firmographics re-verify on dynamically scheduled cycles based on company activity.
- Global coverage holds across 20M+ companies, with qualitative fields like business model and moat consistent across regions since they derive from operations rather than disclosure norms.
- Resolution happens at capture, not in the query path, keeping serving latency flat as the company corpus grows.
Cons
- Transaction detail varies by market reporting activity; funding and M&A data for quieter companies or regions with sparse coverage will be thinner than for actively covered entities.
- Headcount trend data comes from LinkedIn and aggregated sources, so it's a monthly read rather than a point-in-time number, which may not suit use cases needing daily staffing changes.
- The tool is not well suited for teams that need a UI-based research workflow with seat-based access; it's built for developers integrating via API, MCP, or CLI, and non-technical analysts would need to work through engineering.
akta.pro fits teams building automated workflows that need structured private company data and event triggers without paying for seats they only use occasionally. AI agent builders, GTM teams running outbound campaigns, and investors screening startups are the stated target users. The service is new this week, and while the team has published benchmarks for entity mapping and signal retrieval, those numbers reflect their own testing rather than independent verification.
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