Find Companies

Describe the kind of company you want, get back a list of companies that match.

This is the standard company search: industry, size, revenue, funding, location and what the company does. For headcount growth, team makeup, the software a company uses or lookalikes of a competitor, use find_companies_premium at 1 credit per result.

What it does

• You describe the companies you want in plain English. Your AI client turns that into search filters.
• Give it at least one detail: an industry, a country, a size. An empty search is rejected.
• Every detail you add narrows the list. Listing options inside one detail widens it: “51-200 or 201-500 employees” matches either size.
• You pay per company returned: 0.2 credits each. 10 companies cost 2 credits; 50 cost 10.

This is how you build an account list from nothing. Enrichment tools like enrich_organization fill in details on companies you already have; this tool finds the companies in the first place.

What you can search by

Use cases

• Build a target account list from scratch. Say the industry, country, size and company type you sell to. One request turns your ideal customer profile into a list of real companies.
• Find companies that just raised money. Ask for companies that closed a Series A or B this year. They have fresh budget and are spending it.
• Find companies by what they actually do. Industry labels are broad. Searching descriptions for “revenue intelligence” finds companies an industry filter files under something generic.
• Separate established businesses from small teams. Two companies with 50 staff can be very different businesses. A minimum revenue or monthly website traffic keeps the established ones.
• Target by industry code. If your finance or procurement team works from NAICS or SIC codes, search by those codes directly.

How to use it

Use find_companies. Find privately held software companies headquartered in
the US with 51-200 employees.

Only keep companies that raised a Series A or Series B in 2025 or later.

Only keep companies whose description mentions "sales automation". Leave out
any that mention "agency".

Give me 200 companies in total, 50 at a time, as a table with name, website,
industry, size, HQ country and LinkedIn page. Tell me how many credits you
used.

Example prompts

Best prompting practices

• Paste this page’s link into your prompt. “Read https://docs.syncgtm.com/mcp_server/tools/find_companies first and use its exact filter names.” Without it, your client guesses the filter names and can drop half your criteria.
• Say how many companies you want. Each one costs 0.2 credits. “Find 20” costs less than letting your client keep going.
• Ask for a table. “Show name, website, industry, size, HQ country and LinkedIn page as a table.” Left to itself, your client may write a paragraph about the market and you lose the details you paid for.
• Describe what the company does, not just its industry. “Companies that sell payroll software” finds them wherever they are filed. Industry labels like “Software Development” are broad.
• Use the standard size ranges. Company size comes in fixed ranges: 1-10, 11-50, 51-200, 201-500, 501-1,000, 1,001-5,000, 5,001-10,000 and 10,001+. “Mid-market” is not one of them, so name the ranges you mean.
• Zero results usually means a typo. Industry names and countries must match exactly. If a search comes back empty, ask your client to check them against the accepted values.

What you get back

Each company comes back with:

Your client also sees how many companies matched in total, so you can tell whether a search is too broad before paying for more.

Revenue, funding, website traffic and ad spend narrow the search, but those numbers do not come back in the results. Use enrich_organization when you need them for each company.

Credits and limits

0.2 credits per company returned. You get 10 companies per request by default (2 credits) and can ask for up to 50 per request (10 credits), then ask for more after that. Run check_credits (free) before a big pull.

One search returns at most 50,000 companies. For more than that, split it into several searches, for example one per country or one per company size.

Parameters

Pass filters inside one company object, plus max_results and cursor at the top level. Every array accepts at most 50 values. On a min / max pair, 0 means unset, and min must not exceed max.

• Filters are nested: company.hq.country_code, not country. An unknown field is rejected with an error that names the field and suggests the closest valid one.
• Country codes are ISO-2: ["US", "GB"], not "USA" or "United Kingdom". They are not validated, so a wrong code returns zero results with no error.
• Enum values are exact. employee_range takes fixed buckets like "51-200"; "50-200" is rejected. Industries are case-sensitive: "Software Development", not "SaaS" or "Software".

Identity and keywords

Category

Size and reach

Funding and age

Headquarters

Paging

Accepted values

Enum filters reject a wrong value with an error that suggests the closest valid one. Free-text filters (country_code, city, state, name, keywords, lead_investors) are not checked, so a typo returns zero results with no error.

Related tools

Next steps

• All MCP tools — the full catalogue with credit costs
• TAM Sourcing — workflows that turn a company search into a working list

Keep learning

Two courses take these tools past the reference page — clustered by GTM job, then chained into workflows.