01What the programmes publish
Three programmes currently publish what they pay established companies for operating records. These are their own figures, checked on their own sites.
| Programme | Published | What decides where you land |
|---|---|---|
| micro1 | Tiers: $100K–500K, $500K–2M, $2M+ | Dataset size, workflow complexity, quality, domain expertise, uniqueness |
| Mode | $100K–$5M per company | Systems and dates in scope, years of history, volume and quality, ownership and access terms |
| Mercor | A range per business type, from $20K–$250K (call centres) to $100K–$1.5M (manufacturers) | The size and completeness of your records |
These are ranges, not offers. Every programme prices each company individually after reviewing its records.
02What micro1's own calculator says
micro1 has a public calculator. We took readings for a US company with five years of records at nine sizes, so you can see how its estimates move with headcount.
The estimate roughly scales with headcount, and micro1's calculator puts larger firms above its "$2M+" top tier. Its estimates for Canada and Europe come out lower, and for other markets lower again. micro1 says the calculator is indicative, and so do we. Our fit check shows micro1's reading and Mode's estimator side by side.
03Mercor's ranges: the most useful benchmark
Mercor is the only programme that publishes a range for each kind of business, and says what each range depends on. Even if you apply elsewhere, it's the closest thing to a price list.
| Business type | Mercor's published range | What the figure depends on |
|---|---|---|
| Law firm | $50K–$1.25M | Matter size and completeness |
| Accounting and tax firm | $25K–$865K | Client count and filing seasons |
| Consulting and advisory firm | $150K–$300K | Volume and depth of engagements |
| Construction company | $115K–$1M | Project count and imagery |
| Manufacturing and industrial | $100K–$1.5M | Record types and history |
| Software company | $50K–$500K | More for large codebases or exclusive terms |
Mercor's listings, checked 30 October 2026. Ranges, not offers. See all 24 business types.
04Five things that move the price
- Years of history. A longer record of the same work is worth more. Mercor's listings ask for five or more years of closed matters, several filing seasons, or three or more years of commits.
- Completeness. Whole matters, whole projects and whole engagements, from start to sign-off, beat fragments.
- Records that link together. A ticket linked to the code change and the document it produced shows the full chain of work.
- How many systems are in scope. Email, documents, tickets and CRM together tell more than any one alone.
- Proof of the right to license. Records you clearly own, or that clients have agreed to, are worth more than ones with open questions.
05What buyers won't pay for
Mercor's listings spell out what isn't a fit. Across them:
- Templates or marketing material on their own
- Active matters or live projects
- Logs without the case or context around them
- Open-source copies, forks or AI-written code
- Anything client contracts restrict
06How to raise the value
- Lead with complete, closed work: finished matters, completed projects, shipped releases.
- List every system and how many years each covers. Programmes price what they can see.
- Check client contracts early, so you know what's in scope before you're asked.
- Ask whether exclusivity changes the price. Mercor's software listing says exclusive terms can lift it.
Calculators are indicative. The real number is the programme's offer, after it reviews your records.
07The public deals, and why they're a different market
You'll see big numbers quoted. They're real, but they're a different kind of deal:
| Deal | Reported value | What was licensed |
|---|---|---|
| Reddit and Google (2024) | About $60M a year, reported by Reuters | Public forum posts at internet scale |
| Reddit's data licensing contracts | $203M in total contract value, in its IPO filing | The same, across buyers |
| News Corp and OpenAI (2024) | Over $250M across five years, reported by The Wall Street Journal | News archives and content |
| Shutterstock (2023) | About $104M of AI licensing revenue, reported | Stock images and video |
| Spirit Airlines (2026) | Google won the auction with a $10M bid; court approval was pending at the time of writing | A bankrupt airline's operating data |
The first four are public or published content, licensed by platforms with millions of contributors. They show that AI companies pay serious money for data, not what a 50-person firm's records are worth. Spirit is the closest to a company's own operating records, and it drew objections over the employee data in it. See is it legal?
08How to find out your figure
- Check you qualify: size, history and location by programme.
- List your systems and how many years each covers.
- Apply to more than one programme and compare the offers. Many companies can apply to all three.
Our free fit check does steps 1 and 2 in two minutes. The programme decides.
09Questions people ask
How much is my company data worth?
The programmes publish ranges, not prices: $20K to $5M across the three we track. Your figure depends on the programme's review of your records.
Is there a calculator?
micro1 and Mode both have one on their sites. Both say the result is indicative. Our fit check shows both side by side.
Why are the ranges so wide?
Because the records vary so much. Ten years of structured tickets from a specialist firm is a different asset from two years of loose files.
What did Reddit or News Corp get for their data?
Those are reported deals for public content at internet scale, not company operating records. They show the market is real, not what a 50-person firm will be paid.
Sources
- micro1.ai/data-partnerships, checked 30 October 2026
- micro1.ai/data-payout (calculator readings), checked 30 October 2026
- data.mode.inc, checked 31 October 2026
- data.mercor.com/refer (per-type listings), checked 30 October 2026
- Reddit and Google: Reuters, 22 February 2024; Reddit's IPO filing (Form S-1), February 2024, checked 31 October 2026
- News Corp and OpenAI: The Wall Street Journal, May 2024, checked 31 October 2026
- Shutterstock AI licensing revenue: reported June 2024, checked 31 October 2026
- Spirit Airlines data auction: Reuters (via The Star) and chapter11cases.com, checked 26 October 2026
