akta.pro

How customizable are the event triggers? I’d love to define signals specific to a particular industry or workflow.

Per seat pricing on company data always punished the wrong person, since I need enrichment in bursts around a campaign and then not at all for weeks. On the signals layer, how fast does something like a funding round or a hiring spike actually show up after it happens?

20M+ companies with 70+ fields is a serious amount of coverage. Congrats to the team! 🚀

The entity resolution happening upstream is a smart architectural choice. It should make the API much cleaner for developers.

what a wow

This is great. Congrats, Siddhant and team.Since those are synthesized rather than reported data, would I be able to see what a given moat call was drawn from, or do I take the field as given?

Cool. Can you set up notifications when a specific signal is triggered? And can you create custom signals?

Congrats on shipping! Reliable private company data through a clean API is essential for autonomous AI agents to make real decisions. Simple, high-utility infrastructure for dev teams.

Interesting Concept. Congratulations on the Launch. @saswat_nanda2 @siddhant_masson @bharat_garg6

How granular are the sentiment and impact scores? Can developers access the underlying scoring fields through the API??

Would love to see webhooks for specific company events eventually. That could make the outbound automation possibilities huge. What do you think?

Congratulations on the launch! Private-market data definitely needed something more developer-friendly for a while. Akta seems like a great solution.

I question how teams measure success after using this API. would the main benefit be saving research time or finding better business opportunities?

How do you handle companies with very limited public information?

As a developer, having this available through API, MCP, and CLI makes the product flexible and interesting to use. Congrats on the launch!

I enjoy seeing tools that improve private market research. I would ask how akta.pro manages global coverage since company information varies widely across regions and markets.

Happy to go deep on the technical side.Reasoning models changed the economics of proprietary data. For years the winning move was a large team of analysts manually cleaning, normalizing and QAing structured datasets. That model is going obsolete.Demand growth is in agents now, and agents do not want a handful of structured fields in a subscription model. They want a large, reliable corpus of structured qualitative knowledge they can reason over and scale consumption as needed. That changes how you architect the platform.So we made entity resolution the foundation everything else sits on. Every company gets a canonical identity connecting parents, subsidiaries, products, executives, investors, news and hiring signals.Once identity is solved, coverage stops being a fixed list you either have or lack and becomes an extensible graph, where anything new resolves against identities that already exist, including data you bring in yourself.The real-time news pipeline runs on those same identities, with no batch refresh window. Every article goes through:Deduplication and entity resolution back to company IDsClassification against an 100+ event taxonomyMapping to NAICS, SIC, IAB and IPTC codesScoring for impact, sentiment and story centralityEach of 20M+ companies are tagged to 30k+ industry codes and qualitative source-traceable data across 70+ fields. The noise gets filtered along the way, and whatever survives is queryable the moment it lands.The schema is built for reasoning over a corpus rather than browsing rows in a dashboard, which changes the interface too. Everything is API-first, with MCP and CLI as first-class surfaces built for token efficiency and composability inside agent workflows.The goal is simple: make private markets data programmable for anyone building with AI.Try for free. Code PH50 gets you 50 credits, no card required: playground.akta.pro/signup/?coupon_code=PH50 — If anything in the docs at https://docs.akta.pro/ is wrong or hard to follow, tell me and it usually gets fixed the same day

How often are company profiles updated? Private company data can change pretty quickly.

Hey Product Hunt,Sid here, co-founder at akta.pro. Private company data and signals API for agents, priced by consumption.We were building AI agents for private markets and kept hitting the same two dead ends.Legacy databases have company data, but they gate it behind a UI, charge by seat, carry no signal layer.Search APIs return what ranks on SEO. Your agent burns tokens reading 100s of pages to find one event.akta.pro gives an agent both sides, already structured.Company data: 20M+ companies with 70+ fields, i.e., 2x coverage of PitchBook, 4x depth of ZoomInfo/Apollo.Fundamentals: firmographics, management, funding history, investors, revenue and financial estimates.The fields most databases skip: competitive moat, gtm motion, business model, tech stack, AI maturity.News and signals: monitor a company, a sector, or a topic in plain language.Feeds are de-duplicated, matched to the right company, and scored for impact and sentiment.Tagged across 100+ event types like funding round, exec change, expansion etc., that work as triggers.Alternative signals tied to the same company ID: headcount trends, web traffic, jobs, social posts, reviews.On cost, company data runs 5x cheaper than legacy databases like PitchBook. News runs 10x cheaper than putting the same work through Claude or Parallel search APIs, where retrieval comes out of your token spend.Used today by AI builders shipping agents, GTM teams triggering outbound, and investors screening startups.Works as an API, over MCP, or CLI.Try for free. Code PH50 gets you 50 credits: playground.akta.pro/signup/?coupon_code=PH50If you have evaluated legacy databases, news or search API providers, or GTM intent data, I am happy to do a specific comparison in the comments.Here all day, and the critical feedback is the useful kind.