Showcase the value of your data and models
Stamped with vBase, your data looks like a live, continuously updated proof that clients don’t have to wait to see.
By the time prospects reach you, they’re already seeing months, or years, of verified predictive power.
Clients are willing to pay more for predictive datasets they can deploy immediately and trust fully.
A vBase-backed history speeds up decision-making and increases your data’s perceived value.
Across industries, the single largest barrier in selling 3rd party data and predictive models is establishing trust in predictive claims.
With verifiably point-in-time delivery, you give them confidence to test faster, reducing friction and accelerating decisions.
Deliver transparent, auditable data that buyers can trust and use with confidence.
Rise above competitors selling unproven claims.
"We pay significantly more for datasets that come with a trusted, time-stamped track record."
"validityBase helps a newer product like mine gain credibility in the marketplace"
Whose data is worth more?
Data with validated provenance is worth more. A lot more in some cases
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4 reasons blockchains are excellent for data validation
Ensuring integrity and trust: learn how blockchains can and should be used for data validation, data integrity and data provenance systems.
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Who cares about data provenance?
Knowing where data comes from is critical to understanding the data. This is particularly true for financial data due to its time sensitive nature.
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Why good data is hard to find
The data marketplace suffers from severe and costly information asymmetries. These reduce the quality and value of available data.
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Beyond RFC 3161: The Failures of Legacy Timestamping and a Solution
RFC-3161 timestamps often fall short in a number of important use cases. We examine the problems and a solution.
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3 reasons why GitHub timestamps shouldn’t be trusted
GitHub timestamps can be trivially altered and should not be trusted for recording the provenance of code or data. Proceed with caution.
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validityBase is a platform that timestamps and verifies predictive data, giving it a provable history clients can trust.
A fingerprint (hash) if your data is stamped at delivery, creating an auditable, point-in-time record that proves it wasn’t changed or backfilled later.
Without verification, clients have to run lengthy trials or take your word for it that your historical data, methodology, delivery patterns etc. haven’t changed.
With validityBase, they instantly see your predictive power with no ambiguity.
No. Only a fingerprint (SHA3 hash) of your data is made public, which reveals no information about your underlying data.
Not at all. It works with any predictive dataset, from retail demand forecasts to sports predictions to weather models.
Your data can be in any format. You can use validityBase to stamp structured or unstructured data, and even whole databases.
Clients see that the history you’re showing them is exactly the history they would have received had they been your client all along. This cuts down on lengthy trial periods, shows proof of your data’s predictive power, and speeds up adoption.
Yes. Buyers pay more for data they can trust and deploy immediately, and verified history gives your dataset that premium value.
Your flow with clients need not change at all. Once your share historical data with clients, you can simply share an additional link that allows them to verify that your historical data is point-in-time, complete and honestly presented (not cherry-picked).
Pricing is usage-based, depending on how many predictions you stamp. Flexible tiers are available to match your needs.
Except those with very high-frequency requirements, the cost of using validityBase is very modest.
See our pricing page for more details.
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