A trial key only helps if you can actually put it through its paces, and that usually means scripts, an engineer, and a week you don't have. KeyKit runs any data or model API through 30 structured tests against your own requirements and returns Fit, Partial Fit, or No Fit. You bring the trial key. KeyKit brings the test harness.
Don't have the week either? Have Mulberry run the evaluation with you.
Used by buyers to evaluate and monitor providers. Used by providers to prove and maintain quality.
Define your tolerance for freshness, latency, field fill rate, and reliability. KeyKit runs your data or model API through up to 30 test types and returns Fit, Partial Fit, or No Fit verdicts tied to what you actually need. Use your own trial API key. No provider involvement required.
Run the same evaluation suite across multiple providers and see the results head to head. Built for buyers shortlisting two or three options. Built for providers who want to know where they stand.
Schedule evaluations to run daily, weekly, or monthly. KeyKit alerts you when coverage drops, latency spikes, or field fill rates change. Post-purchase monitoring so you are never caught off guard.
KeyKit aggregates anonymized results across all users testing the same provider. Know immediately whether your results are normal or a red flag, without asking anyone.
Simple mode surfaces the results that matter in plain English: what was tested, what it means for your requirements, and whether the API passed. Advanced mode gives full framework-level control for technical users. Switch between them at any time.
Not sure which providers to test yet? See the market on Sourced.
The same wall that stops buyers, no time, no engineers, no clean way to compare against the incumbent, is why your trial keys go cold and your deals stall. Give prospects KeyKit and they evaluate your API against their own requirements, the same day.
Part of the Mulberry ecosystem. Verified providers are listed on Sourced.cc.
Every framework scores API performance against your stated requirements, not industry averages. It tests whether an API handles the queries your use case actually needs, not just the simple ones in the demo.
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.
Pro for buyers running evaluations. Provider for data API companies offering evaluation access to prospects.
Most teams arrive through a Mulberry assessment or a provider-issued invite. Evaluating on your own? Pro gives you everything.
$1,990/year
For data buyers evaluating APIs against their requirements.
$7,490/year
For data API companies that want to offer evaluation access to their prospects.