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Launching today
akta.pro
Private company data and signals API for the agent economy
625 followers
Private company data and signals API for the agent economy
625 followers
Private company data with 4x the depth and 2x the coverage of PitchBook, plus 100+ event signals and news across companies, industries, and topics. Source and diligence deals or make outreach lists and trigger outbound. Built for financial services and GTM teams, pay-as-you-go.
I question how teams measure success after using this API. would the main benefit be saving research time or finding better business opportunities?
akta.pro
@new_user___209202627e87af67bf41b28 It shows up as time first and opportunities later. Week one is usually the boring win, where the cleaning and matching layer that used to sit in front of every agent just goes away, because the company data comes back structured and the news comes back already filtered instead of as pages to read through. That is also where the cost drops, since retrieval stops coming out of token spend. The better part comes later, when the signals start doing the work for you and a funding round or an exec change surfaces without anyone going to look for it. GTM teams count that in meetings booked, investment teams in deals they saw before the round was announced.
akta.pro
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 IDs
Classification against an 100+ event taxonomy
Mapping to NAICS, SIC, IAB and IPTC codes
Scoring for impact, sentiment and story centrality
Each 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
Dune
Interesting Concept. Congratulations on the Launch. @saswat_nanda2 @siddhant_masson @bharat_garg6
akta.pro
@dhanrajchoudhary Thanks a lot Dhanraj, appreciate the support
Lancepilot
Netlify
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.
akta.pro
@thisiskp_ Thanks! Reliable is the word that matters most there, and in practice it comes down to schema and data consistency. Same shape every call, stable field names, nulls where data genuinely doesn't exist. That means you write the parsing logic once and it keeps working, instead of defensive handling around every field that might or might not show up.
TestMu AI
Congratulations on the launch! Private-market data definitely needed something more developer-friendly for a while. Akta seems like a great solution.
akta.pro
@syed_shayanur_rahman Thanks. In most legacy private markets tools the API is an afterthought. Responses come back bulky, the structuring is off, and you end up writing a normalization layer before the data is usable.
MCP usually repeats the problem. What gets exposed is a subset of the API wrapped once and shipped, so you inherit every constraint of the original surface plus a few new ones.
We built the other way round. Structured JSON with deterministic schemas, full access across every offering rather than a curated slice, and rate limits set for how agents actually query. The MCP server and CLI are designed around real workflows, not mechanical wrappers over endpoints.
Would love to hear feedback on what is working and what is not
congrats on the launch!
akta.pro
@marupelkar Thanks Nakul!