akta.pro Review (2026): Pricing, Features & Honest Verdict

akta.pro is a private-company data and signals API built for AI agents. It covers 20M+ companies with 70+ fields each, plus 100+ real-time event signals, and it sells self-serve by the credit instead of by the annual seat. Rare and welcome in this category. Best for developers building agents that need company data. Price: from $0.04 per credit, free trial available. Rating: 7.0/10.

What is akta.pro?

akta.pro is an API for private-company intelligence. You query it for a company and get back structured data across 70+ fields, or you subscribe to signals and get notified when something happens: a funding round, a leadership change, a hiring surge, a partnership, an expansion. Coverage is 20M+ global entities. Access is by REST API, MCP server, CLI, or bulk export, and the whole thing is designed to be called by software rather than read by a person.

It comes from Wokelo AI, a Seattle company founded in 2023 with around 42 employees and $5.5M raised from AHEAD VC, Dash VC, Geek Ventures, KPMG and Perpetual Venture Capital. Wokelo’s existing business is AI research for investment and consulting teams, so akta is the underlying data layer being sold on its own. The people behind the launch include Siddhant Masson, Rohan Chaubey and Saswat Nanda. It hit Product Hunt at number one on 25 August 2026.

What we found interesting is not the dataset. Company data is a crowded, old market. It is the go-to-market. Almost every serious private-company data provider in 2026 sells through a sales team on an annual contract with a five-figure floor. akta publishes a per-credit rate on a public page and lets you top up a balance with a card. For a developer who needs company enrichment inside an agent this weekend, that difference is the entire product.

What are akta.pro’s key features?

20M+ companies with 70+ fields, resolved deterministically

The base layer is firmographics: 70+ datapoints per company across 20M+ global entities, with 6 months of history on the entry tier, a year on subscription, and 15+ years on enterprise. The part worth attention is entity resolution, which akta describes as patent-pending and, more usefully, as deterministic. Anyone who has tried to join two company datasets knows this is where the pain lives. “Acme Corp”, “Acme Corporation” and “acme.io” are one company, and a resolver that returns a different answer on Tuesday than it did on Monday will quietly poison every downstream table you build. Deterministic output is a specific, checkable claim, and it is the right thing to lead with.

100+ real-time signals with the noise filtered out

Signals cover funding, M&A, hiring changes, leadership moves, partnerships and expansion, and this is the half that is hard to build yourself. akta publishes an actual number for the filtering quality, an F1 score of 81.3, and claims roughly 80% of news noise is stripped before anything reaches you. Publishing an F1 score at all puts them ahead of most vendors in this space, who tend to say “AI-powered” and stop. Take 81.3 as what it is, a self-reported benchmark on their own evaluation set, but it is a number you can hold them to rather than an adjective.

MCP and CLI access, not just REST

akta ships an MCP server and a CLI alongside the REST API, which is what the “agent economy” line in the tagline is actually pointing at. An agent can hold a tool that queries company data directly instead of you writing and maintaining a wrapper. Yohei Nakajima, who built BabyAGI, is quoted on the site claiming 10M+ AI tokens saved per month on news processing, and the mechanism there is obvious: pre-filtered structured signals instead of dumping raw articles into a context window. One catch, and it is a real one. MCP and CLI are listed under the Subscription tier, not Pay as You Go. The agent-native access path is not on the entry plan.

Bulk export, list generation and a custom schema

Beyond single lookups, the subscription tier adds list generation, bulk export, a custom API schema, and n8n and Zapier integrations. Custom schema is the quietly valuable one for anyone piping this into an existing warehouse, because it means shaping the response to your model rather than writing a transform layer that breaks every time the vendor adds a field. The n8n and Zapier connectors make it usable by an ops person with no engineer involved, which broadens who on a team can actually get at the data.

How much does akta.pro cost?

akta.pro sells credits. Pay as You Go is $0.05 per credit with a top-up balance, 100 requests per minute, a cap of 1,000 company-data requests a month, email support, and 6 months of history. Subscription drops the rate to $0.04 per credit and raises the ceiling to 25,000 requests a month at 200 requests per minute, adds a dedicated account manager, and unlocks the parts that matter: transactions data, news and alternative signals, entity resolution, de-duplication, list generation, custom schema, MCP and CLI, the n8n and Zapier integrations, bulk export and a year of history. Enterprise is custom and goes back 15+ years. There is a “try for free” path on the site.

Now the problem, and it is the one thing that stops us scoring this higher. akta never defines a credit. Not on the pricing page, not on the homepage, not in the quick-start docs. The API documentation shows a sample response containing "credits_consumed": 2, which proves credit cost varies by call, and then says nothing at all about what makes a call cost 2 instead of 1 or 12. We looked. There is no rate card by endpoint anywhere we could find. We are not going to quote a third-party guess at it, because a made-up unit definition is the same failure as a made-up price.

The practical consequence: $0.04 per credit is not a price you can budget against. You cannot answer “what does enriching 5,000 companies a month cost me” from anything published. Meter it on the free trial with your own call pattern, watch credits_consumed across a realistic sample, and work your own rate out before you commit to volume. The second oddity is smaller but worth knowing: the Pay as You Go tier caps company-data requests at 1,000 a month, which is a strange thing to put a ceiling on when the whole premise of pay as you go is that you pay for what you use.

Against the field, the self-serve entry is the headline. Crunchbase Pro is around $99/mo month to month, or roughly $49 to $99 per user per month annually, but it is primarily a web product with API access bolted on. People Data Labs runs a comparable credit model with company enrichment from about $0.10 per credit, a free tier of 100 credits a month, and a Pro plan near $98/mo for 1,000 company lookups. Diffbot publishes real numbers too: free at 10,000 credits a month, $299/mo for 250,000, $899/mo for a million. Harmonic, the closest competitor on private-company depth, does not publish a price at all and reportedly starts somewhere around a $25,000 annual minimum. akta is playing in the half of the market that lets you start with a card, and on raw entry price it undercuts People Data Labs per credit.

Who is akta.pro best for?

Use akta.pro if you are building something that needs company data programmatically and you do not want a procurement cycle first. Agent builders are the obvious fit, since that is what the MCP server exists for. So are AI SDR tools, deal-sourcing scripts for small VC and PE teams, credit-risk workflows, and recruiting or talent-intelligence products that need firmographics plus hiring signals. If your alternative today is scraping and a brittle news pipeline, the signal filtering alone is likely worth the credits.

It is also a reasonable pick for a solo founder or a two-person data team, purely because everything comparable at this depth wants an annual contract and a call.

Skip akta.pro if you need one or two lookups a day, because Crunchbase or a free PDL tier will cover you for less hassle. Skip it if your compliance process requires a fixed, forecastable annual number, because you cannot produce one until the credit unit is documented. And skip the Pay as You Go tier specifically if signals are why you came: no news signals, no transactions data, no entity resolution and no MCP on that plan means you are buying a firmographics lookup and little else. Go straight to Subscription or do not start.

Best akta.pro alternatives

People Data Labs. The closest structural match, also credit-based and also self-serve. Company enrichment starts around $0.10 per credit with volume discounts, there is a free tier of 100 credits a month with no card, and the Pro plan sits near $98/mo for about 1,000 company lookups. Credits are only consumed on a successful match, which is a fairer meter than akta’s undefined one. Deeper on people data, thinner on real-time event signals.

Diffbot. Strongest on transparency. Free plan with 10,000 credits a month and no card, Startup at $299/mo for 250,000 credits with $0.001 overage, Plus at $899/mo for a million credits and 25 requests a second. Its knowledge graph is built from crawling the open web rather than curated private-company records, so it is broader and less specialised. If you want a published rate you can model a bill from, this is the one.

Crunchbase. The incumbent, and the right answer if a human is doing the looking. Pro runs about $99/mo billed monthly, or roughly $49 to $99 per user per month on an annual plan, with a Starter tier near $29 per user per month annually. Excellent UI, funding coverage everyone already trusts, weaker as a high-volume programmatic source and not built to be called by an agent.

Final verdict: is akta.pro worth it?

akta.pro is doing the thing this market needed someone to do. Private-company data has been locked behind sales calls and five-figure annual minimums for a decade, and shipping it as a self-serve API with an MCP server attached is the correct read of where the demand is going. The dataset is real, the company behind it is funded and has been operating since 2023, and publishing an F1 score for news filtering shows more confidence than the usual hand-waving. If you are building an agent that needs to know things about companies, this deserves a slot on your shortlist.

What keeps it at 7.0 is that the price is public and the meaning of it is not. A rate card denominated in a unit the vendor never defines is a number you cannot plan with, and the docs make it worse by showing credits being consumed two at a time without explaining why. Publishing a per-endpoint credit table would fix this in an afternoon and would move our score up. Until then, treat the free trial as mandatory rather than optional: run your real call pattern, count the credits it burns, and only then decide whether $0.04 each is a good deal for you. And if signals are the reason you are here, budget for the Subscription tier from day one, because the entry plan does not include them.