KeyKit does the testing you don't have time for and tells you whether an API actually works for your requirements. Fit, Partial Fit, or No Fit.
Built by Mulberry, from a decade on the buyer side of these contracts.
Don't have the week either? Have Mulberry run the evaluation with you.
You can see in a demo that an API returns data. You can't see whether it returns the coverage, freshness, and fields your use case needs, at the volume you'll actually run. Finding that out properly takes time you don't have, a testing setup you'd have to build, and enough experience to know what to check and what good looks like. So most buyers skip it, sign on the demo, and find the gaps after they've paid.
Don't have a provider shortlisted yet? Start with the market map on Sourced
Bring a trial key. KeyKit does the evaluation, no engineering build, no week of setup. Simple mode gives a plain-English read, Advanced mode gives full framework control, switch any time.
Every check your requirements call for, run the same way on every provider, so nothing important gets skipped and two providers are compared on the same terms.
Which numbers are strong, which are a red flag for your use case, and what to trust, built by Mulberry from a decade of signing these deals.
Latency, rate limits, and availability under real load, not demo conditions.
We measure actual ingestion lag against your tolerance.
The boolean, nested, and messy queries your use case needs, not just the simple ones in the demo.
How your results compare across everyone testing the same provider.
30 structured tests sit behind these questions, across coverage, data quality, freshness, reliability, compliance, and more.
Does the dataset cover the time range and regions your use case requires?
Are records complete, canonical, and free of duplicates before they hit your pipeline?
Does re-querying the same parameters return the same results? Critical for incremental pipelines.
How stale is "live" data? We measure actual ingestion lag against your stated tolerance.
Can the API handle the queries your use case actually needs, or only the simple ones in the demo?
Performance and stability under realistic load, not cherry-picked conditions.
Does multilingual content arrive correctly encoded and attributed?
What breaks at the edges? Edge-case testing surfaces failures before production does.
Is sensitive data scoped correctly? Does cost hold at volume?
Side-by-side scoring against your current provider or an alternative. Apples to apples.
Every result is Fit, Partial Fit, or No Fit against your requirements, not an industry average.
Coverage drops. Latency creeps. Fields go missing. Health Checks re-run your evaluation on a schedule and flag it when quality drifts, so it is your finding, not your incident.
Weighing two or three options? Run the same evaluation across all of them and see them side by side.
KeyKit is $250 a month, the same account for buyers and providers. Buyers evaluate any data or model API against their requirements. Providers get that same account, plus private self-testing and the ability to sponsor customers (see below).
$2,500/year
Evaluate any data or model API against your requirements.
A trial key hands the work to your prospect: find the time, wire it up, decide what the numbers mean. Most never get to it. Sponsor a KeyKit account instead and they get a neutral evaluation of your API against their own requirements, without the setup. If you're confident in your data, an independent verdict is the strongest thing you can put in front of them.