There is no public exchange for company data, so prices come from what buyers publish and what the press has reported. Below are the published figures, followed by the factors that decide where your record lands.
Published price ranges (2026)
| Source | Stated range | Notes |
|---|---|---|
| micro1 | $100k+ qualified enterprise partnerships; $500k+ large-scale datasets or ongoing multi-team participation; $1M+ highly unique proprietary data | From micro1’s data partnerships page |
| Polyshares | $100K to $2M, and above for large records | From Polyshares’ homepage and terms page |
| SimpleClosure wind-down deals | $10,000 to $100,000 per company | Forbes figures, reported by Gizmodo, April 2026 |
These are ranges the parties state, not guarantees. Use them to set expectations, then get a real estimate.
The five factors that move the price
1. Depth of operating history
Years of continuous records in one system show how processes and decisions evolved. Polyshares states depth of history moves the number more than raw volume.
2. Visible reasoning
A Slack thread where three people debate a pricing exception is worth more than a thousand “done ✅” messages. Buyers want the why, not just the outcome.
3. Domain expertise
Specialized workflows (legal, finance, engineering, regulated industries) are scarce. micro1 lists domain expertise and uniqueness as value drivers.
4. Workflow complexity
Multi-step, multi-person processes, such as a sale that moves through discovery, legal and onboarding, are what AI agents need to learn.
5. Quality and structure
Consistent fields, tagged stages, and maintained documentation make data easier to use and therefore more valuable.
Not sure if your data qualifies? The intake takes a few minutes.
What lowers the value
- Short history (under a year in most systems)
- Mostly automated or templated messages
- Heavy client-owned data that must be excluded
- Gaps, migrations, or deleted archives
- Records that are hard to anonymize without losing meaning
A quick self-assessment
Answer these honestly:
- Do you have two or more years of history in at least one core system?
- Do your records show discussion and decisions, not just notifications?
- Is your work in a specialized domain?
- Do you have 30+ employees (micro1’s stated threshold)?
- Is most of the data yours, not held for clients?
Three or more “yes” answers usually means it’s worth requesting an estimate. Under 30 employees? Polyshares states it accepts any company with real operating history.
How payment works
Licensing fees are usually paid as a lump sum per license. Polyshares states payment is net 30 to 60 days after approval, with no equity or debt involved. Talk to your accountant about how the income is treated for tax purposes.
Frequently asked questions
Is there a minimum company size to get paid?
It depends on the buyer. micro1 states it targets companies with 30+ employees. Polyshares states any company with real operating history can apply. Smaller records may still be licensable, often at lower values.
Does more data always mean a higher price?
No. Polyshares states depth of operating history and how much visible reasoning the record contains move the number far more than raw volume.
Can I get a quote without committing?
Yes. Both micro1 and Polyshares offer a free initial assessment with no commitment.
Are these prices guaranteed?
No. The ranges here are what buyers and press reports state publicly. Your offer depends on your specific record and the buyer’s review.