72%
of rounds reach the API within an hour of publication
Measured from the article's publish timestamp across 2,000+ served rounds, recomputed weekly.
Datahyena vs. PitchBook
A terminal for analysts, or an API for your product.
PitchBook is where an investment team does diligence. Datahyena is what your application calls when it needs to know a company just raised. These are rarely the same purchase, and we will happily tell you when it is theirs.
In short
PitchBook is a premium research platform: private financials, valuations, cap tables, fund and LP coverage, analyst-curated, accessed through a terminal. If you are underwriting a deal, that is the tool. Datahyena is an API and webhook for growth events, self-serve, priced per use, with detection latency published. If you are building a product or a GTM workflow that reacts to funding, you are almost certainly not buying a research terminal, and the two rarely compete for the same budget.
Measured, not asserted.
Recomputed weekly from the live corpus. Every figure below is reproducible from your own API responses.
36 minutes
median publication to API
The relevant unit for a workflow that has to act the same day rather than a report written next quarter.
~820
new rounds a month
Arriving as webhooks, not as a dataset you go and pull.
154
countries represented
Headquarters country resolved on the company behind each event.
As of September 7, 2026
Side by side.
Datahyena
PitchBook
Who uses it
Engineers, GTM systems, agents
Investment analysts
Shape
API and webhooks
Research terminal plus data feeds
Detection latency
Published: 71% within 1h, median 36 min
Not published as a metric
Private financials
Not collected
Core product
Valuations / cap tables
Not collected
Yes
Fund and LP data
Not collected
Yes
Per-company history
Timeline: funding, acquisitions, exec moves
Deep company and deal profiles
Time to first call
Minutes, free tier
Procurement and onboarding
Pricing
Usage credits, published
Annual licence, quoted
Which one fits you.
Choose Datahyena when
- Your consumer is code. Webhooks fire into your system; nobody logs into anything.
- You need it to be current. A round in next month's research refresh is a round your outbound already missed.
- You want to start today at a price you can see, rather than run a procurement cycle.
- You are enriching a CRM, powering a product feature, or driving an agent, not writing an investment memo.
When PitchBook is the better choice
- You are doing diligence and need private financials, valuations and cap tables. We hold none of these.
- You need fund, LP and limited-partner relationship data, which is outside our scope entirely.
- Your analysts work inside a research platform with benchmarking and curated commentary.
- You need the brand in the room. For some committees that is a real requirement and we are not going to pretend otherwise.
What makes Datahyena different.
Built to be called, not opened
Every capability is an endpoint: search events, resolve a company, read a timeline, subscribe a webhook, query from an agent over MCP. There is no seat to assign and no terminal to learn, because the intended user is a program.
Priced per use, published openly
Rates are on the pricing page and the first credits are free. You can determine whether this is worth paying for before speaking to anyone, which matters when the alternative starts with an annual commitment.
Latency treated as a product metric
For research, a week late is immaterial. For a trigger, it is the whole thing. We measure the gap between an article going live and the event being queryable, publish it, and recompute it weekly from the live corpus.
Where PitchBook wins.
A comparison with no losses is an advert. These are the cases where we would tell you to buy the other thing.
No diligence data of any kind
No private financials, valuations, cap tables, ownership, fund or LP data. These are the core of what PitchBook sells and we have made no attempt at any of them. If that is your requirement, this comparison ends here.
No analyst layer
There is no curated research, benchmarking or commentary. You get structured events and the entities behind them; the interpretation is yours.
Our funding record starts in 2020
Dense from 2020 forward, between four and seven thousand rounds a year, which suits a signals workflow. For a longitudinal study going back a decade, it does not.
Common questions
Datahyena and PitchBook, answered.
Is this a cheaper PitchBook?
No, and framing it that way will disappoint you. It is a different product: no financials, no valuations, no cap tables, no fund data, no terminal. What it does instead is tell your code a round happened, within about half an hour of publication, at a price you can see up front.
Do teams use both?
Often. The API drives the trigger — a round lands, a webhook fires, a workflow starts — and the research platform answers what the analyst then wants to know about the company. They occupy different points in the same process.
What do I get about a company itself?
A timeline of every funding round, acquisition and executive move we hold for it, plus firmographics: founded year, headquarters, size band, industry and sub-tags, business model, verticals, social handles. Enough to route and score. Not enough to underwrite.
Can I get the whole corpus rather than an API?
Yes, as an enterprise arrangement: S3 or SFTP delivery, gzipped, on a schedule, with the resale terms written into the contract.
Start pulling signals in minutes.
Create a key, claim your 50 free credits, and make your first request today. No sales call, no credit card.
50 free credits · no credit card