72%
of rounds reach the API within an hour of publication
From the article's publish timestamp to the moment the event is queryable. Measured across 2,000+ served rounds, recomputed weekly.
Datahyena vs. Intellizence
Both sell signals. One of us publishes the latency.
This is the closest comparison on the list: two APIs for company events, sold to the same kind of buyer. The split is breadth against depth, and how much of the pipeline's behaviour each of us is willing to put a number on.
In short
Intellizence covers more event types than we do — layoffs, awards, partnerships, regulatory and more — and sells through a sales-led motion. We cover three event types and go deeper on them: funding, acquisitions and executive moves, resolved onto one company graph, self-serve from a free tier, with detection latency published and recomputed weekly. If you want one feed spanning every category of corporate news, that is them. If you want the funding feed to be fast and complete and you would rather start today than book a call, that is us.
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
84% are through inside two hours. We publish this because a signals product that will not quantify its own latency is asking for trust it has not earned.
55%
of rounds are reported by exactly one publication
Which is the whole argument for source breadth. A feed built on the well-known outlets misses most of the market by construction.
45,000+
funding rounds, deduplicated and resolved
Plus acquisitions and executive moves on the same company graph.
As of September 7, 2026
Side by side.
Datahyena
Intellizence
Event types
Three: funding, acquisitions, executive moves
Wide catalogue across many categories
Detection latency
Published: 71% within 1h, median 36 min
Not published as a metric
How you start
Self-serve, free tier, keys in a minute
Typically sales-led
Per-company history
Timeline endpoint: all three event types in one call
Signal feed
Investor graph
49,000+ investors, 190,000+ round links
Varies by package
Agent access
Native MCP server
Not MCP-native
Delivery
REST, webhooks, MCP, S3 or SFTP
API, feeds, integrations
Pricing
Usage credits, published rates
Enterprise, quoted
Which one fits you.
Choose Datahyena when
- You want to evaluate before you talk to anyone. Free tier, keys in a minute, no call required to see real responses.
- Funding is the signal that actually drives your workflow, and you want it fast and complete rather than adequate alongside nine other categories.
- You want the latency quantified rather than described. Ours is on this page and moves with the corpus.
- You are building for agents. There is a native MCP server, so a model can query the corpus without you writing an integration.
When Intellizence is the better choice
- You need event types we do not cover: layoffs, awards, partnerships, regulatory actions, expansion announcements.
- You want one contract covering every category of corporate signal rather than assembling a stack.
- You want a managed onboarding with an integration built for you, rather than reading docs.
- Your procurement prefers an enterprise agreement to a self-serve credit card.
What makes Datahyena different.
Three event types, done properly
Breadth is easy to add and hard to keep good. We would rather be the best available source for funding, acquisitions and executive moves than an adequate one for fifteen categories. Every event resolves onto the same company and investor graph, so an acquisition and a round on the same company are the same company.
Latency you can audit
The figures above come from the live corpus and are recomputed weekly by the same job that refreshes our coverage numbers. You can reproduce them from your own API responses by comparing the article timestamp to when the event appeared. If we get slower, this page says so.
Nothing is gated behind a call
Docs, pricing, an OpenAPI spec and a free tier are all public. You can decide whether the data is any good before anyone asks for your budget, which is the order most engineers prefer to do it in.
Where Intellizence wins.
A comparison with no losses is an advert. These are the cases where we would tell you to buy the other thing.
They cover more event types than we do
Layoffs, awards, partnerships, regulatory filings and expansion news are all real buying signals and we do not carry any of them. If your use case depends on a category outside funding, M&A and executive moves, we are not a substitute and adding it to your stack will not fix that.
Our funding record starts in 2020
Dense from 2020 forward, between four and seven thousand rounds a year. Thinner behind it.
No managed onboarding
There is documentation, a playground and support, but nobody will build your integration for you. For a team that wants a vendor to own delivery, that is a genuine difference in what you are buying.
Common questions
Datahyena and Intellizence, answered.
You are both signal APIs. What actually differs?
Breadth against depth, and disclosure. They cover more categories of event; we cover three and publish measurable claims about how fast and how completely we cover them. If funding is the signal your workflow runs on, compare the latency numbers and the single-source share, because those decide whether you hear about a round in time to act.
Can I test the data before committing?
Yes. There is a free tier with credits, and the full API is available immediately without a sales conversation. Most teams evaluate by replaying a week they already know about and checking what we caught and when.
Do you cover layoffs?
No. Funding, acquisitions and executive moves only. Layoffs are a legitimate buying signal and we would rather say we do not have them than imply otherwise.
What does the MCP server do?
It exposes the read endpoints as tools a model can call directly, so an agent can search funding events, resolve companies and read a company timeline without a bespoke integration. Same credit accounting as the API.
How do you handle the same round reported by several outlets?
They consolidate into one event rather than several. Amount, stage and date reconcile across every source, and the event records how many independent publications reported it, so you can weight a four-source round differently from a single-source one.
Start pulling signals in minutes.
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