KeyKit automates data and model trials. It runs a framework of tests to see whether a new API actually works for your needs.
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 and commit on the demo, when what they wanted was to see whether it fits their requirements first.
Geography, languages, sources, and history depth, measured against the volume you will actually run.
Real ingestion lag against your tolerance, not the freshness a demo query happens to show.
The boolean, nested, and messy queries your use case depends on, not just the simple ones.
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.
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.
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.
Decide whether Freshness Lag matters for your use case, then compare another provider or adjust your targets and re-run.
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, freshness, and latency all change as providers and their sources change. KeyKit can continue to monitor and measure any drift in your provider quality. Health Checks re-run your evaluation on a schedule, so you always know where it stands and you are the first to know if anything changes.
Looking at a new option for a source? KeyKit allows you to compare multiple providers' performance to each other, ensuring that when you evaluate new providers, you do it with a clear and structured approach.
Moving your queries between providers is risky, and can make migration difficult. KeyKit offers a Query Converter to translate search queries across Brandwatch, Talkwalker, Meltwater, Sprinklr, Socialgist, Datastreamer Unify, Lucene, Manticore, Boolean and more, and it tells you what the target cannot express. No account needed.
Convert a QueryTell us what you are evaluating and we will tell you whether KeyKit covers it, and what it would cost for your situation.
Talk to usProspects don't say no. They go quiet. 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.