Overview
akta.pro is a private company data and signals API built for AI agents, developers, GTM teams, finance teams, and data teams. The official site positions it around structured company intelligence, real-time news signals, universal entity resolution, and pay-as-you-go access rather than traditional seat-based sales intelligence contracts.
The product is most relevant when an agent or workflow needs reliable company facts instead of a generic web search result. akta.pro says it covers 20M+ global company entities, 30K+ sub-sectors, 70+ data points per company, and news signals with noise filtering. That makes it a useful source layer for AI lead generation, private market research, account intelligence, portfolio monitoring, and risk workflows.
For ToolWorthy buyers, the key appeal is not simply that akta.pro has company data. It is that the data is packaged for agentic consumption: compact responses, deterministic schemas, source attribution, native OpenAPI support, MCP and CLI access, and pricing that can start with credits instead of a large vendor contract.
Key Features
- Private company database - Query company profiles across 20M+ global entities with firmographic and business data fields.
- News and signal monitoring - Monitor companies, sectors, or topics with entity-resolved news, historical data, and de-duplication.
- Agent-ready access - Use the API, MCP, CLI, bulk data, and integrations such as n8n or Zapier depending on plan and delivery needs.
- Deterministic schemas - Responses are designed to be compact, filterable, attributed, and easier for agents to parse than unstructured web pages.
- Finance and GTM use cases - Support workflows for venture capital, private equity, consulting, credit risk, M&A, sales intelligence, outbound, recruiting, and talent intelligence.
- Security posture - The public site lists SOC 2 Type II, ISO 27001, end-to-end encryption, and no AI model training claims.
Integration Guide
akta.pro is designed for developers and teams that want data available inside products, agents, or pipelines. A typical first test is to create an API key, query a small set of known companies, compare entity resolution quality, and verify whether returned fields and source metadata are suitable for the workflow.
For agent workflows, use strict limits and explicit schemas. Company enrichment, account scoring, target list generation, and market monitoring can become expensive or noisy if an agent is allowed to broaden searches without guardrails. The product is strongest when the workflow already knows what entity, sector, or signal it needs and uses akta.pro as a reliable data source.
Pricing & Plans
akta.pro uses pay-as-you-go credits, subscription plans for regular API usage, and custom enterprise packaging. The public pricing page lists pay-as-you-go at $0.05 per credit with no monthly subscription, a 100 requests per minute overall rate limit, and a 1K company data requests per month limit.
| Plan | Public Pricing Signal | Notes |
|---|---|---|
| Pay-as-you-go | $0.05 per credit | Top up balance as needed; no monthly subscription listed |
| Subscription | $0.04 per credit | For regular API usage; higher rate limits and up to 25K company data requests/month |
| Enterprise | Custom | Custom credits, limits, datasets, publishers, schemas, and account management |
The pricing page separates company database, news signals, list generation, delivery, and support capabilities by plan. Teams should model expected API calls, news history needs, custom datasets, and bulk export requirements before scaling.
How It Compares
Mindcase focuses on structured web data APIs across social, marketplace, maps, search, and content sources. Clay combines enrichment sources with AI research and GTM workflows. Apollo is a mature sales intelligence and engagement platform for prospecting and outbound.
akta.pro is narrower and more infrastructure-oriented. It is best when a product, data pipeline, or AI agent needs private company data and signals through API-first access. Teams that mainly want a sales UI with sequences may prefer Apollo or Clay. Teams that need agent-readable company intelligence may find akta.pro easier to embed.
Best For
- AI agents that need structured private company intelligence
- GTM teams building account research, enrichment, or trigger-based outbound workflows
- Venture, private equity, consulting, and risk teams monitoring private markets
- Developers replacing ad hoc scraping or generic search APIs with a more deterministic data layer
- Data teams that need API-first signals with attribution and entity resolution
FAQ
What is akta.pro?
akta.pro is a private company data and signals API that provides structured company intelligence, news monitoring, entity resolution, and agent-ready access through API, MCP, CLI, and bulk data options.
Is akta.pro free?
The public pricing page does not list a durable free plan. It lists pay-as-you-go credits starting at $0.05 per credit, plus subscription and enterprise options.
Who uses akta.pro?
The official site describes use cases for builders, developers, data teams, finance and risk teams, GTM teams, outbound teams, recruiting, and talent intelligence.
Does akta.pro support MCP?
Yes. The public site and pricing page mention MCP / CLI access as part of its data delivery options.
How is akta.pro different from Clay?
Clay is more of a GTM workflow and enrichment workspace. akta.pro is an API-first company data and signals layer that developers and agents can embed into products, pipelines, and research workflows.
What should teams test first?
Start with a small benchmark of known companies, expected signals, entity resolution behavior, returned fields, source attribution, and per-query cost before automating broad enrichment or monitoring.