Self‑assessment tool

Data Value Scorecard.

Eight questions on the drivers buyers price. The result shows where your asset is strong and what would discount it. It does not produce a dollar figure.

1. Can you document that you may license this data for AI training?
2. Was personal data collected with a basis that covers this use, or removed?
3. Could a buyer get similar data elsewhere?
4. Is the content specialist (medical, legal, technical, industry workflows)?
5. Does it cover under-served languages or dialects?
6. Is it structured, deduplicated, and labeled or aligned?
7. Is the volume meaningful for the data type?
8. Will new data keep arriving?

Your answers stay in your browser. Nothing is sent unless you choose to start a brief.

The interactive questionnaire above captures eight key drivers that AI buyers consider when pricing a data license. Your responses generate a numeric score for each driver and an overall rating. Use the guidance below to interpret the results, understand the drivers, and decide on the next steps.

Understanding Your Score.

  1. Overall rating – A composite number from 0 to 100.

    • 80 +  indicates strong pricing power.
    • 60‑79 suggests solid value with room for improvement.
    • Below 60 flags potential pricing challenges.
  2. Driver scores – Each driver is shown on a 0‑10 scale.

    • Higher numbers mean the attribute is well‑positioned.
    • Lower numbers identify gaps you can address.
  3. Scenario ranges – The tool also presents a low‑, mid‑, and high‑range estimate based on your scores.

    • Treat these as a testing band, not a guaranteed price.
    • Use them to frame discussions with prospective buyers.

If any driver falls below 5, prioritize that area before approaching buyers. A balanced profile across all drivers typically yields the most credible scenarios.

What Each Driver Represents.

DriverWhat it meansTypical actions
RightsLegal authority to sell, redistribute, or modify the data.Review contracts. Secure clear licensing language.
UniquenessHow rare or proprietary the data set is.Highlight exclusive collection methods.
Domain depthBreadth and granularity of coverage within a specific field.Document taxonomy and metadata richness.
Language coverageNumber of languages represented and quality of translation.Add multilingual layers where feasible.
QualityAccuracy, cleanliness, and consistency of records.Run validation scripts. Publish quality metrics.
ScaleVolume of records, features, or time span.Provide clear size metrics.
RefreshFrequency of updates and timeliness.Establish a regular update schedule.
ExclusivityWhether the buyer will receive sole access.Offer tiered licensing (exclusive vs. non‑exclusive).

Read each driver’s score as a checklist. If the score is low, ask: What evidence can I add? What process can I improve? Addressing these points raises both individual driver scores and the overall rating.

Next Steps.

  1. Document gaps. Create a short action plan for any driver under 5. Include measurable milestones and owners.
  2. Run a pilot scenario. Use the mid‑range estimate to draft a term sheet. Compare it against competitor offers if available.
  3. Request a professional brief. Our team at Earthloom Holdings Limited will translate your scores into detailed pricing scenarios, discount structures, and negotiation tips. Start the process at /brief/.
  4. Review the methodology. Learn how we build scenarios in /how-it-works/ and explore case studies in /insights/.

A clear scorecard gives you a factual foundation for conversations with AI buyers. It does not replace a formal appraisal, but it frames expectations and highlights where you can add value. When you are ready for a deeper analysis, submit a brief and let us help you test the ranges with real buyers.