Data buyers pay for companies that fit their rules, and finding them is the hard part. The rules are public: enough staff, a US base, work done in English, years of records in modern systems. We score any company from 0 to 100 for the data AI buyers want, show what it likely holds and whether it is still active, and let you qualify a target against each buyer's published rules before you spend a week on it.
Company-level data only: no contacts and no named people. Scores are estimates from public signals, not valuations, not offers and not a sign that a company wants to sell.
Three groups do the same job from different sides. Each one needs companies that fit a buyer's published rules, and each one loses weeks on companies that never could.
Those are the amounts each program publishes, and they are paid only when a referred company signs and meets the program's conditions. A referral business lives or dies on the companies you bring in. Most companies you know will miss a rule on size, location or records.
The Data Asset Score shows which companies likely hold the records buyers want. The free check shows whether a target meets the published rules. You approach fewer companies, and better ones.
As published, checked 7 October 2026. Each program's own terms decide who is paid, how much and when.
micro1, Mode, Grepped, Troveo, Miro Advisory and others buy company records and turn them into data for AI labs. Each one publishes who it wants, then has to find enough companies that fit. That search is the slow part of every sourcing plan.
Lists, the API and bulk CSV depend on the plan. See the plans below.
Archives of Slack, email and code can change hands when a company winds down. Troveo cites about $5,000 per code repository and roughly $10K to $100K per archive deal in the shut-down startup market. Forbes (16 April 2026), Fast Company and Gizmodo covered startups selling their old Slack and email.
We do not sell a shut-down or wind-down list. What every Data Asset Score does show is a company's activity status: active, winding down or acquired, parked, or unreachable. If you work this side of the market, that status is on every company you score.
Figures as cited by Troveo and as reported. Context only.
Every program that pays for company records says who it wants. The rules are short, specific and strict, and most companies fail at least one of them.
A broker's real cost is not the introduction. It is the hours spent on companies that were never going to qualify: a 12-person agency put forward to a program that asks for 30 or more, a strong team based outside the US sent to a program that counts US office staff, a two-year-old startup offered to a buyer that wants several years of records. Each of those looks promising until someone reads the rules.
The rules also differ by program and by industry. Mode drops its minimum to 10 people for accounting firms and 6 for law firms. micro1 asks for 30 or more and puts the US first. A company that misses one program can fit another, so you check every target against every set of rules, not only the one you know best. The table puts them side by side, with where each rule shows up in our tools.
| Rule | micro1 (as published) | Mode (as published) | Grepped (as published) | Where you see it here |
|---|---|---|---|---|
| Company size | 30+ employees; the referral posting says 30 to 200 | 20+ full-time US office employees | No minimum published | The check reads team size from public pages, with a quote |
| Industry exceptions | None listed | Accounting firms 10+; law firms 6+ | Any vertical | The score's industry value group; the check's industry reading |
| Location | US first | US office employees | No country rule published | The check reads location and US presence |
| Language | Primarily English | Not listed | Not listed | The check notes the language of the company's pages |
| History and records | Mature operations | Several years of records | No minimum published | The score's history and "online since" year; the check's founding year |
| Systems | Modern software tools | Not listed | Not listed | The score's likely data held; the check's systems named on public pages |
| Company payout | "$100K-$2M+ for approved data packages" | "$100K-$5M" | "$20K-$5M" | Ranges, not a price for any company |
Four products and one free tool, all built on the same index of 102 million domains. Each one answers a question you would otherwise answer by hand, company by company.
Scores any company from 0 to 100 for the data AI buyers want, with a grade, the data the company likely holds, its history and an activity status: active, winding down or acquired, parked, or unreachable.
Nine factor groups go into it: history, scale, knowledge assets, operational systems, customer systems, organization, industry value, expertise and activity status.
Score a company in the demoOne list today: US labs, CROs and life-science companies, about 1,500 companies scored and ranked by Data Asset Score. Each company carries its score, grade, likely data, history and activity status.
A free preview is public, so you can see the shape of the list before you pay for anything.
See the free previewREST and JSON, with your key in an X-API-Key header. Score a domain from your own CRM, spreadsheet script or enrichment flow, and keep the results next to your own notes on each company.
On Pro and Scale the same API returns the labs list, up to 100 companies per call, with paging.
Read the API documentationScale adds the one-file bulk CSV export of the list, for teams that load companies into their own systems in one step rather than paging through the API.
Scale also includes new segments on request, for teams that need a list beyond labs and CROs.
Compare the plansEnter a company's website. The check reads its public pages and compares team size, location, history and systems with the published rules of micro1, Mode and Grepped, with a quote for each fact it finds.
Where the pages are silent, it says "not stated" instead of guessing.
Qualify a targetEvery product works at the level of the company: its domain, score, grade, likely data, history and status. There are no contacts, no named people, no email addresses and no phone numbers anywhere.
You reach companies through your own network and your own channels, and you decide what to say to them.
How brokers workThis card uses only what the free public preview of the labs list shows for one company. A full result carries the same kind of fields for any domain you score.
Example from the public preview. An estimate from public signals, not a valuation or an offer, and not a sign that the company wants to sell data.
The first four steps happen here, before you contact anyone. The last three happen in your own network and inside the buyer's program.
Start where buyers already want data and where you have reach. The US labs, CROs and life-science list is ready today: look at the free preview first. For any other industry, start from the companies you already know and score them one by one.
Run each company through the Data Asset Score, in the demo or through the API. Sort by score and grade, and read the likely data held. A company whose likely records match what a buyer names goes to the top of your list.
Set aside parked and unreachable domains. Winding down or acquired is a different conversation, and often a different kind of buyer. Active companies go forward to programs built for running businesses.
Run the check on each shortlisted company: about 20 seconds, with a quote for every fact found. "Not stated" is common for headcount, so treat it as a question for the company, not a no.
We provide no contacts. Use your own network, clients and introductions. Say plainly who you are and how you are paid, and never present yourself as a buyer's partner or agent: micro1's terms forbid it.
Once the company agrees, submit it through the program's own referral route. Read the terms before you do. micro1, for example, decides in its sole discretion, pays after onboarding plus a minimum revenue threshold, can claw back payouts, and forbids sharing a payout with the company. Referral programs compared.
Deals take 60 to 90 days to close, practitioners say. The buyer runs the review, the contract, the export and the payment. Keep scoring and qualifying in the meantime: a referral pipeline needs far more names than any single deal.
A data company that buys company records lives on supply. Its own rules decide who qualifies, and its sales targets decide how many qualifying companies it needs each quarter. The gap between those two numbers is filled by outreach, referrals and inbound applications, and every one of those sources brings in companies that were never going to fit.
The market is crowded at the top. A market map by Deedy Das (July 2026) counts 50+ companies selling data and RL environments to labs, with about $8.5B in revenue, 75% of it held by Scale, Surge, Mercor and Handshake. For every other company in that map, finding supply faster is a large part of how it competes.
Prioritizing outreach. Score a segment and start at the top. A company with a high score, an active status, a long history and likely support, knowledge or operational records is a better first message than a random name from a directory.
Screening inbound. When a company applies through your form, a lookup returns its likely data, history and status before your team spends time on it. Parked and unreachable domains show up immediately.
Working lists in your own tools. Pro returns the labs list through the API, up to 100 companies per call, with paging. Scale adds the bulk CSV export and new segments on request.
Practitioners say raw data is the cheapest form, evaluations are worth about 10x raw, and full environments reach 6 to 8 figures. Whatever a data company builds on top, it starts with companies that hold the records.
Every plan uses the same index and the same score. The difference is how many lookups you get each month and how you get the list.
For a solo broker scoring the companies in their own network.
For brokers and small teams working the labs and CROs segment.
For data companies' partnership and sourcing teams.
No free plan; the demo is free. So is the check against buyer rules. Pay by PayPal or card. Your API key appears in your dashboard after payment, not by email. Full details on the pricing page.
Last checked: 8 October 2026.
Amounts and rules are quoted as each program publishes them, as published, checked 7 October 2026. They are ranges and referral amounts, not offers, and the top of a range is not the typical result.
Spirit was a large airline in bankruptcy, not a typical referral. Use these figures to understand the market, not to promise a company a number. Compare every program on one page in buyer programs compared, and the referral side in data referral programs.
Each guide quotes buyers only from their own published pages, with the date we checked them.
Segments where buyers already look.
Where company facts come from.
Who buys, and how they work.
Referring companies, step by step.
Guides written for the companies themselves. Send them along when the questions start.
No. Everything we sell is company-level: the domain, the Data Asset Score, the grade, the data the company likely holds, its history and its activity status. There are no named people, no email addresses and no phone numbers, in the demo, the API or the lists. You approach a company through your own network and your own channels.
No. There is no free plan, no free key and no trial. Two things are free: the Data Asset Score demo, which scores a limited number of companies a day, and the check against buyer rules, which qualifies a target in about 20 seconds. Paid plans start at $99 a month for 5,000 lookups.
Scores are built on our index of 102 million domains, 99.99% of the active internet, with domain history. Every score includes the company’s activity status: active, winding down or acquired, parked, or unreachable. The US labs and CROs list is refreshed, and its size changes after each refresh, which is why we describe it as about 1,500 companies scored rather than an exact count.
Your plan and our terms decide what you may do with list data, and nothing on this page grants a right to resell it. Read the terms at https://www.selldatatoai.com/terms/ before you pass list data to a client or anyone else, and treat anything they do not cover as not granted.
No. We do not sell a list of shut-down or winding-down companies. Every Data Asset Score shows the company’s activity status, so for any company you score you can see whether it is active, winding down or acquired, parked, or unreachable.
No. A Data Asset Score is an estimate from public signals. It is not a valuation, not an offer and not proof that a company wants to sell anything. It tells you which companies likely hold the records buyers want, so you know where to spend your outreach first. Only the company can decide to sell, and only a buyer can price the data after it sees a manifest and samples.
Use the free check at https://www.selldatatoai.com/check-your-company/. Enter the company’s website, and in about 20 seconds it reads the company’s public pages and compares team size, location, history and systems with the published rules of micro1, Mode and Grepped, with a quote for each fact it found. Where the pages say nothing, the result says so instead of guessing.
Pro ($299 a month, 25,000 lookups) gets the US labs and CROs list through the API: JSON, up to 100 companies per call, with paging. Scale ($799 a month, 100,000 lookups) adds the one-file bulk CSV export of the list, and new segments on request. Basic ($99 a month, 5,000 lookups) scores companies but does not include lists.
Score a company in the free demo, qualify it against buyer rules in about 20 seconds, and pick a plan when you are ready to work a whole segment.