7 min read · 7 visible sources

akta.pro

Private-company intelligence and news signals for AI agents

Editor’s verdict

akta.pro is a compelling fit when an application needs structured private-company profiles and attributable news in predictable, agent-friendly responses. Its explicit section-based billing and multiple access methods suit programmable research workflows, but buyers should model credit use carefully and confirm whether subscription- or enterprise-only datasets are essential.

7 sources · Verified Aug 25, 2026

What it is

akta.pro is a data platform from Wokelo AI that gives developers, analysts, and AI agents structured intelligence about private companies. Its company database and entity-resolved news products are available through an API, MCP server, CLI, playground, and bulk-data delivery, with usage-based access and tier-dependent limits.

Features

Structured company intelligence

The company database covers more than 20 million global entities and offers over 70 data points spanning areas such as firmographics, business models, management, technology, industries, and product offerings.

Entity-resolved news signals

Users can monitor companies, industries, or open-ended topics through real-time and historical news responses with entity resolution, de-duplication, filters, and source metadata.

API, MCP, CLI, and bulk access

The same intelligence layer can be used from application code, compatible AI clients, the maintained command-line client, the web playground, or a negotiated bulk-data workflow.

Agent-oriented response design

The official site describes compact payloads, consistent types, deterministic schemas, native OpenAPI discovery, and attribution included with responses to make automated parsing and verification easier.

Section-selective enrichment

CLI users explicitly select the company-data sections they need, allowing a workflow to limit payload size and billed enrichment instead of requesting an undifferentiated full profile.

Pros and cons

Strengths

  • Multiple delivery options support both interactive research and production data pipelines.
  • Entity resolution and de-duplication address common ambiguity and repetition problems in company-news monitoring.
  • Source metadata and deterministic schemas make downstream verification and orchestration more practical.
  • Pay-as-you-go access avoids requiring a monthly subscription for occasional API usage.
  • Free search commands let users resolve company or industry identifiers before spending credits on enrichment.

Limitations

  • Credit-based costs vary by endpoint and selected data sections, so usage forecasting requires care.
  • Pay-as-you-go company data is limited to 1,000 requests per month and 100 requests per minute.
  • Funding and M&A sections are reserved for Enterprise customers according to the CLI documentation.
  • Alternative signals, longer history, integrations, and bulk export depend on higher pricing tiers.
  • The subscription price displayed by the first-party page is loaded dynamically, leaving the recurring plan total unclear in the captured evidence.

How to get started

This CLI-based workflow follows the maintained akta.pro package documentation and starts with free entity resolution before requesting billed data.

  1. Create an account and API key

    Open the akta.pro playground, sign up or sign in, and create an API key for authenticated CLI and API requests.

  2. Install the command-line client

    Install the isolated CLI with `pipx install akta-pro-cli`, or use `pip install akta-pro-cli` in an appropriate Python environment.

  3. Authenticate and check the account

    Run `akta-pro login` to store and validate the key, then use `akta-pro account` to review the active tier and available credit balance.

  4. Resolve the target company first

    Run `akta-pro company search "Company Name"`; this free lookup returns the resolved company identifier needed for precise follow-up requests.

  5. Request only the required sections

    Use a command such as `akta-pro company data example.com -s firmographic -s technology`, choosing sections deliberately because enrichment is billed per section.

  6. Add current signals when needed

    Run `akta-pro news signals` with a company, industry, query, or title filter, then retrieve full records for selected result IDs with `akta-pro news detail`.

This walkthrough follows published documentation; hands-on testing is not implied.

Where it fits

Private-company enrichment for agents

Resolve a company and supply structured firmographic, management, product, industry, technology, or financial-estimate fields to an agent or internal application.

Competitive and portfolio monitoring

Track companies, sectors, or topics for entity-resolved news signals that can feed competitive-intelligence, portfolio, risk, or strategy workflows.

Sales and go-to-market research

Combine company profiles with recent business signals to support account research, prioritization, revenue operations, marketing intelligence, and AI-assisted sales workflows.

Talent and workforce intelligence

Higher-tier alternative-signal endpoints can support research into headcount trends, jobs, employee reviews, product reviews, and company posts.

Fit check

Choose it when
You need private-company profiles and resolved news inside an API, agent, or pipeline.
Budget for
Credits per operation, selected enrichment sections, and the tier required by each signal.
Verify first
Monthly request volume, required history, and whether funding, M&A, or alternative signals are essential.
Start small
Resolve one company for free, request only two useful sections, then measure cost and response fit.

Decision rule: prefer akta.pro for programmable company intelligence; compare a research suite or sales database when documents or contacts are the real center of the workflow.

Sources

  1. Pricing | akta.proakta.pro · Aug 25, 2026
  2. akta.pro by Wokelo AI — Playground Sign Inplayground.akta.pro · Aug 25, 2026
  3. akta-pro-cli Documentationpypi.org · Aug 25, 2026
  4. akta.pro on Product Huntproducthunt.com · Aug 25, 2026

Alternatives worth comparing

AlphaSense

AlphaSense combines AI search with premium business and financial content, company documents, expert transcripts, news, and internal enterprise knowledge.

Comparison basis: Consider it when the primary need is a researcher-facing market-intelligence workspace with premium document collections rather than a section-billed private-company API for agents.

Apollo.io

Apollo.io provides B2B company and contact data alongside prospecting, enrichment, intent, CRM, and sales-engagement workflows.

Comparison basis: Consider it when verified buyer contacts, CRM enrichment, outreach, and end-to-end sales execution matter more than private-market research and entity-resolved news.