Most company data APIs were built to help sales teams find buyers for software. They return industry, size bands, technology and contacts. Sourcing companies for AI data programs asks different questions: what data does this company likely hold, how long has it been producing it, and is it still operating? The Data Asset Score API answers those at company level, for any domain, in one JSON call.
Want the endpoints first? Read the API documentation. Have one target to qualify? Check it against buyer rules in about 20 seconds.
The names overlap, so here is the plain version. All of them turn an identifier into a structured company record. They differ in the direction you query them and in the fields that come back.
A company data API (also sold as a company information API or a business data API) takes an identifier, usually a website domain and sometimes a company name, and returns a record about that company in JSON. A company enrichment API is the same lookup pointed at records you already hold: you send the domains from your spreadsheet or CRM, and the API fills in the empty columns. A search or list endpoint works the other way round. You describe the companies you want, by industry, size or location, and a list comes back.
Behind most of these products sits a database assembled from many public and licensed sources, matched to a company identity and refreshed on some schedule. The fields vary by provider, but they fall into six familiar groups.
Name, industry category, an employee range, a revenue estimate, headquarters location and founding year. The backbone of nearly every company record, and the part most often estimated rather than reported for private companies.
The main domain, social profiles, and the software a company's website appears to use. Sales teams use this to find companies that run a competing or complementary tool.
Parent and subsidiary links, ownership type, and for venture-backed companies, funding rounds and investors. Useful for working out who would sign a deal.
Many providers also sell named employees, job titles, emails and phone numbers. This is the part with the most legal weight attached, and it is the part we deliberately do not offer.
Hiring activity, press mentions, funding news and other events that suggest a company is changing. Built to time a sales approach.
Stable IDs, alternative domains and name variants, so that records from different systems can be joined into one company.
Nearly all of them grew up serving sales and marketing teams: lead routing, account scoring, territory planning and ad audiences. Their fields answer one question very well, which is whether a company looks like a buyer of a given product. That is a good question. It is just not the one a broker or a data company's sourcing team needs answered when it looks for companies to bring to an AI data program.
Two companies with the same industry and the same headcount can hold very different records. A typical company profile has no field for that difference, and often no reliable field for whether the company is still trading.
Buyer rules as published, checked 7 October 2026. Every rule above is about size, location and years of records. None of them can be met by a company that has stopped operating, and none is answered by a contact list.
Before you spend an hour on a company, or ask a buyer program to spend a review on it, three facts decide whether the effort is worth it.
AI data buyers publish what they want in terms of records: support tickets and chat transcripts, internal documentation and SOPs, CRM and sales histories, code with its commit and issue history, project files, call recordings, research and lab records. A company that runs a customer help desk and a client portal produces a different body of records from a company of the same size that does neither. Headcount tells you how many people produced records. It does not tell you which kinds, or whether they sit in systems that can be exported.
Mode publishes that it wants several years of records the company owns, and buyers in general pay more for long, continuous histories than for a few months of activity. A founding year in a directory is a weak stand-in, because it is often missing, self-reported or carried over from a predecessor company. The history of a company's domain is at least a consistent, comparable signal of how long the business has had a public presence.
Small private companies rarely announce that they have stopped trading. Their records in general business databases can stay unchanged for a long time afterwards, because nothing forces an update. For a broker this cuts both ways. A partnership program needs a company that still has people who can sign an agreement and run an export. Buyers of archives from closed or acquired companies are a different conversation: Troveo cites about $5,000 per code repository and roughly $10K to $100K per archive deal in the shut-down startup market, and in August 2026 Google agreed to pay $10M for bankrupt Spirit Airlines' internal data, with micro1 filing a $12.5M competing bid (approval not confirmed as of 7 October 2026). Either way, you need to know which kind of company you are looking at before you write to it.
A REST API that returns JSON. You authenticate with your key in the X-API-Key header, send a domain, and get back one company record. Built on our index of 102 million domains, 99.99% of the active internet, with domain history.
| In every score response | What it tells you | How a broker uses it |
|---|---|---|
| Data Asset Score | 0 to 100: how much valuable, sellable data the company likely holds | Sort a target file so the strongest candidates come first |
| Grade | A letter from A to E that bands the score | Set simple rules, such as "review A and B this week" |
| Likely data assets | The data types the company likely holds, each marked medium or high confidence | Match a company to a buyer that asks for that kind of record |
| History | The year the domain was first seen and the years online | Screen against rules about several years of records |
| Activity status | Active, winding down or acquired, parked or unreachable | Split partnership targets from archive conversations, drop dead ends |
| Industry and country | The company's category and country in our index | Check the US first rule and route by vertical |
| Factor groups | Eight of the nine factor groups, each rated strong, medium, weak or none; the ninth, activity status, is the status field | See at a glance where a company is strong and where it is thin |
GET/api/v1/score?domain=Scores one company. Full URLs are accepted; the domain is used. Each call counts as one lookup. All plans.GET/api/v1/companiesReturns scored companies in a segment, best first, filtered by a minimum score, up to 100 per call with paging. ProScaleGET/api/v1/segmentsLists the segments available and how many companies are scored in each.GET/api/v1/usageYour plan, the lookups used this month and the lookups remaining.Score one company with curl:
curl -H "X-API-Key: YOUR_KEY" "https://www.selldatatoai.com/api/v1/score?domain=promega.com"
The response is one JSON object with the fields in the table above. Python and JavaScript versions, the full example response and every error code are in the docs.
We publish the factor groups we measure. The weights and rules that combine them are our own. In each response, every group except activity status is rated strong, medium, weak or none, and activity status has its own field.
Scoring your own targets is one half of the API. The other half is the company lists endpoint, available on the Pro and Scale plans. It holds ready lists for 20 US sectors, among them labs, CROs and life-science companies, healthcare providers, law firms, financial services, software companies, manufacturing, logistics and marketing agencies. Every company is verified active: the domain resolves, is not expired, is not parked and shows no error or placeholder page. Each company in a list carries the same fields as a score response, so you can filter by minimum score and page through it from the strongest companies down. The list hub shows the live count for each sector.
On Pro, the lists come through the API as JSON, up to 100 companies per call, with paging, and they are always current. Scale adds the one-file bulk CSV export of a whole segment, and new segments on request. Before you pay for either, every list has a free preview with the top 5 visible, such as the labs and CROs preview. If you only need a list once, you can buy it outright instead: $249 for a single list, up to $2,490 for all 20, as a CSV snapshot with no updates.
Why labs and CROs make a good first list to try: research and study records are specialist material that rarely appears on the open web, and life-science companies often keep them for years under record retention rules. It is also a good segment for testing whether the score lines up with your own judgment of which companies are worth approaching.
The most common job: you have a file of company websites from your own research, a trade association, a conference list or an earlier project, and you need to know which ones to work first.
| Domain | Score | Status | Online since | Likely data | Next action |
|---|---|---|---|---|---|
| harborline-logistics.example | 76B | Active | 2004 | Support tickets, CRM records, transactions | Qualify this week |
| northgate-assay.example | 71B | Active | 1999 | Research records, knowledge base | Qualify this week |
| tallow-software.example | 58C | Winding down or acquired | 2013 | Code history, support tickets | Archive tab |
| pinecrest-advisory.example | 52C | Active | 2010 | Project histories | Second pass |
| bluefen-studio.example | 21E | Parked | 2016 | None found | Drop |
| oldmill-tools.example | 18E | Unreachable | 2008 | None found | Check by hand |
A sourcing team on Pro pulls the labs and CROs list through the companies endpoint with a minimum score, pages through it 100 at a time, and assigns the active A and B companies to its partnership staff. On Scale, the same segment arrives as one CSV for a CRM import.
When a company applies or a referrer submits one, score its domain before anyone opens the file. A grade, the likely data and the activity status tell the reviewer what to ask about first, and which applications can wait.
Deals take 60 to 90 days to close, as practitioners describe it. Re-scoring the companies in your pipeline each month shows any whose status has changed, so you can stop chasing a company that has been acquired or gone quiet.
Every plan uses the same index and returns the same score fields. The plans differ in lookups per month, the company lists endpoint and the bulk CSV export. Cancel any time. There is no free plan, free key or trial; the free demo is limited per day.
Fits a broker scoring their own target files: a few thousand domains a month, one score each.
Choose BasicFits a small sourcing team, or a broker working a sector such as labs and CROs alongside their own lists.
Choose ProFits a data company scoring large prospect files every month and loading results into its own systems.
Choose ScaleCount companies, not rows. If your working file has 3,000 unique domains and you want to re-check the active ones once a month, Basic covers it with room for new targets. If you score several such files, or several people on a team score their own, the 25,000 lookups on Pro go further, and the 20 sector lists come with them. Scale is for teams that run large prospect files through the API every month and want whole sector lists as single CSV files. If all you need is one sector list, once, the one-time purchase at $249 costs less than a month of Pro.
Two habits keep lookups under control: deduplicate before you score, and store each response so the same company is not scored twice by two people in the same month. The usage endpoint shows what is left at any time.
Whether you choose ours or another provider's, these are the questions worth answering before you commit a budget, written for teams that source companies rather than sell to them.
This is not a ranking of providers. A general company data API is the right tool for many jobs, including some a broker also does, such as checking ownership. The table shows where the two kinds of product point.
| General company data API | Data Asset Score API | |
|---|---|---|
| Built for | Sales and marketing: lead routing, account scoring, targeting | Sourcing companies for AI data programs |
| Main input | Domain or company name | Domain |
| Headline output | Firmographic profile | Score from 0 to 100 and a grade |
| Data the company holds | Not usually covered | Likely data assets, with confidence |
| History | Founding year where known | First year seen and years online |
| Activity status | Varies by provider | Active, winding down or acquired, parked, unreachable |
| Contacts and people | Often included | Never included |
| Ready lists | Search by firmographic filters | 20 US sector lists, always current on Pro and Scale, or bought once as a CSV snapshot from $249 |
| Pricing | Varies widely | $99, $299 or $799 a month by lookups; lists also one-time from $249 |
A sourcing tool earns trust by being plain about what it cannot tell you. These limits apply to every response, the demo and the list.
The score is an estimate from public signals. Only a buyer can price data, after it sees a manifest and samples of the actual records.
A high score does not mean a company wants to sell, or that any buyer will accept it. It means the company is worth a closer look.
No named people, emails or phone numbers, in any plan. Company level only.
A company data API takes an identifier, usually a website domain, and returns a structured record about that company in JSON. An enrichment API applies the same lookup to records you already hold, filling in empty columns. Most were built for sales and marketing, so they return industry, size bands, technology and often contacts.
It answers the questions an AI data sourcing team asks rather than the questions a sales team asks. For any domain it returns a score from 0 to 100, a grade, the data the company likely holds, its history and its activity status: active, winding down or acquired, parked or unreachable. It returns no contacts.
No. Everything is company level. The API never returns named people, emails or phone numbers. Outreach to a company is yours to do through its own public channels or through a buyer program's referral process.
Pro at $299 a month and Scale at $799 a month. The endpoint holds ready lists for 20 US sectors, from labs and CROs to law firms, software companies and logistics, and they stay current. Pro returns them through the API as JSON, up to 100 companies per call with paging. Scale adds the one-file bulk CSV export and new segments on request. Basic at $99 a month scores companies only. If you need a list once rather than through the API, you can buy it as a one-time CSV snapshot from $249.
No. There is no free plan, free key or trial. You can try the free Data Asset Score demo, which is limited per day, and qualify a single target with the free check against buyer rules. API plans start at $99 a month for 5,000 lookups.
Choose a plan on the pricing page and pay by PayPal or card. The key appears in your dashboard as soon as the payment is completed. It is not sent by email. Send it in the X-API-Key header with every request.
No. Scores are estimates from public signals. They are not valuations, not offers, and not proof that a company wants to sell. Only a buyer can price data, after it reviews a manifest and samples of the actual records.
The score combines nine factor groups: history, scale, knowledge assets, operational systems, customer systems, organization, industry value, expertise and activity status. Each group comes back rated in the response. The weights and rules that combine them are our own and are not published.
The quickest test of any company data API is a company you know well. Run one through the free demo, then choose a plan when the result makes sense to you.