TheirStack / Search companies by firmographics and tech

TheirStack tool theirstack-companies-search on looot: input fields, $0.0981 per result, output shape, and code to run it with curl, JavaScript or Python.

Searches companies by firmographics (industry, country, employee count, revenue), funding, technology stack and hiring signals. Returns the matching companies with the jobs and technologies that matched your filters. Send limit (1 to 25) with page or offset. 3 TheirStack credits per company returned.

Tool id: theirstack-companies-search
Provider: TheirStack
Job: Find companies matching a filter (company.search)
Price: $0.0981 per result. A call that fails at the provider costs $0.

Inputs

Name	Type	Required	Description
`blur_company_data`	boolean	no	Enable preview mode to return blurred data without consuming credits in the TheirStack app. Through the API it works by default only on paid workspaces created before August 11, 2026; on any other workspace, including free ones, it is available only upon request; contact support@theirstack.com to request access. When enabled, sensitive company fields (name, domain, URLs, descriptions) and job-specific fields (description, URLs) are blurred. Not available when filtering by company identifiers…
`company_country_code_not`	array	no	Return companies whose HQ country code is not any of the ones passed here, case sensitive. Pass ISO2 country codes.
`company_country_code_not_or_null`	array	no	Return companies whose HQ country code is not any of the ones passed here, case sensitive. Companies whose country we don’t know are returned as well. Pass ISO2 country codes.
`company_country_code_or`	array	no	Return companies whose HQ country code is any of the ones passed here, case sensitive. Pass ISO2 country codes.
`company_description_pattern_accent_insensitive`	string	no	Set to True to make company description searches accent insensitive. For example, “á” will match “a” as well.
`company_description_pattern_not`	array	no	Case-insensitive patterns to match in the company description. Will return companies that match any of the patterns.
`company_description_pattern_or`	array	no	Case-insensitive patterns to match in the company description. Will return companies that match any of the patterns.
`company_domain_not`	array	no	Only return companies that don’t match these domains exactly. It accepts full urls (https://www.google.com/) and emails (john.polo@gmail.com).
`company_domain_or`	array	no	Only return companies that match these domains exactly. It accepts full urls (https://www.google.com/) and emails (john.polo@gmail.com). This filter acts as an OR filter, so if you pass more than one company domain, it will return companies that match any of the domains.
`company_id_not`	array	no	Exclude companies that match these IDs. This filter acts as a NOT filter, so if you pass more than one company ID, it will exclude companies that match any of the IDs.
`company_id_or`	array	no	Only return companies that match these IDs exactly. This filter acts as an OR filter, so if you pass more than one company ID, it will return companies that match any of the IDs.
`company_investors_or`	array	no	Investors of the company
`company_investors_partial_match_or`	array	no	Investors of the company. Will return companies for which any of their investors contains any of the substrings passed here. For example, if you pass ‘andree’, all funds that match it (like ‘Andreessen Horowitz’, ‘Andreessen Horowitz LLC’, etc).
`company_keyword_slug_and`	array	no	Return results from companies that have mentioned all of these keywords in their jobs. Case sensitive. Pass slugs. Check out all the keywords we track at GET /v0/catalog/keywords
`company_keyword_slug_not`	array	no	Return results from companies that haven’t mentioned any of these keywords in their jobs. Case sensitive. Pass slugs. Check out all the keywords we track at GET /v0/catalog/keywords
`company_keyword_slug_or`	array	no	Return results from companies that have mentioned any of these keywords in their jobs. Case sensitive. Pass slugs. Check out all the keywords we track at GET /v0/catalog/keywords
`company_linkedin_url_exists`	string	no	(Use `property_exists_or / property_exists_and` instead) Only return companies with a LinkedIn URL
`company_linkedin_url_or`	array	no	Return companies whose LinkedIn page matches any of the values passed here. Both forms of LinkedIn company URL work, the vanity slug (`https://www.linkedin.com/company/google/`) and the numeric company ID (`https://www.linkedin.com/company/1038`), as do a bare slug (`google`) and a bare numeric ID (`1038`). A numeric value is matched against the company’s LinkedIn ID and its slug, so you do not need to know which of the two you are holding. We have a LinkedIn slug for ~26% of companies and…
`company_list_id_not`	array	no	Return companies that don’t belong to any of the company lists passed here
`company_list_id_or`	array	no	Return companies that belong to any of the company lists passed here
`company_location_pattern_or`	array	no	Return companies whose city matches any of the patterns passed here. Case insensitive. For example, if you pass ‘san francisco’, it will return companies whose city is ‘San Francisco’, ‘San Francisco Bay Area’, etc.
`company_name_case_insensitive_or`	array	no	Only return companies that match these names exactly, case-insensitively.
`company_name_not`	array	no	Only return companies that don’t match these names exactly, case-sensitively.
`company_name_or`	array	no	Only return companies that match these names exactly, case-sensitively. This filter acts as an OR filter, so if you pass more than one company name, it will return companies that match any of the names.
`company_name_partial_match_not`	array	no	Company names. Will return companies whose name doesn’t contain any of the the substrings passed here, case-insensitively. For example, if you pass ‘google’, it will exclude ‘Google’, ‘Google LLC’, ‘Google Inc’, etc.
`company_name_partial_match_or`	array	no	Company names. Will return companies whose name contain any of the the substrings passed here, case-insensitively. For example, if you pass “google”, it will return “Google”, “Google LLC”, “Google Inc”, etc.
`company_tags_or`	array	no	Return companies that match any of these keywords
`company_technology_slug_and`	array	no	Will return jobs from companies that that have mentioned all of these technologies in their jobs (not necessarily in the jobs returned). Case sensitive. Pass slugs. Check out all the technologies we track at GET /v0/catalog/technologies
`company_technology_slug_not`	array	no	Will return jobs from companies that that haven’t mentioned any of these technologies in their jobs. Case sensitive. Pass slugs. Check out all the technologies we track at GET /v0/catalog/technologies
`company_technology_slug_or`	array	no	Will return jobs from companies that that have mentioned any of these technologies in their jobs (not necessarily in the jobs returned). Case sensitive. Pass slugs. Check out all the technologies we track at GET /v0/catalog/technologies
`company_type`	string	no	Filter by company type.
`cursor`	string	no	Cursor for pagination
`expand_technology_slugs`	array	no	Specify technology slugs to include detailed technology usage information for each company. The response will include a ‘technologies_found’ field containing metrics like confidence score, ranking, and job count for each specified technology. Note: If a technology is not listed for a company, it means that company does not use that technology. This feature is useful for enriching company data with their technology stack details.
`funding_stage_or`	array	no	Funding stages of companies returned. Possible values: [‘angel’, ‘convertible_note’, ‘debt_financing’, ‘equity_crowdfunding’, ‘other’, ‘private_equity’, ‘seed’, ‘series_a’, ‘series_b’, ‘series_c’, ‘series_d’, ‘series_e’, ‘series_f’, ‘series_g’, ‘series_h’, ‘venture_round_not_specified’, ‘series_i’, ‘series_j’, ‘undisclosed’, ‘series_unknown’, ‘pre_seed’, ‘post_ipo_secondary’, ‘post_ipo_equity’, ‘post_ipo_debt’, ‘non_equity_assistance’, ‘late_vc’, ‘initial_coin_offering’, ‘growth_equity_vc’, ’…
`include_total_results`	boolean	no	When enabled, calculates and returns `total_results` and `total_companies` fields in the response. WARNING: This significantly slows down responses as it requires reading the entire dataset. Recommended usage: enable only for the initial request to get totals, then disable for subsequent pagination requests.
`industry_id_not`	array	no	Industry ids to exclude.You can use any of LinkedIn’s Industry Codes V2 or GET /v0/catalog/industries
`industry_id_not_or_null`	array	no	Industry ids to exclude. Companies whose industry we don’t know are returned as well. You can use any of LinkedIn’s Industry Codes V2 or GET /v0/catalog/industries
`industry_id_or`	array	no	Industry codes. You can use any of LinkedIn’s Industry Codes V2 or GET /v0/catalog/industries
`industry_not`	array	no	Names of industries, case-insensitive. Results will exclude companies that belong to any of the industries specified in this parameter. Available values: GET /v0/catalog/industries WARNING: Deprecated parameter. Use the industry_id_not field instead.
`industry_or`	array	no	Names of industries, case-insensitive. Results will only include companies that belong to any of the industries specified in this parameter. Available values: GET /v0/catalog/industries WARNING: Deprecated parameter. Use the industry_id_or field instead.
`job_filters`	string	no
`last_funding_round_date_gte`	string	no	Only return companies whose last funding round date is after or on this date. Format: ‘YYYY-MM-DD’
`last_funding_round_date_lte`	string	no	Only return companies whose last funding round date is before or on this date. Format: ‘YYYY-MM-DD’
`limit`	integer	yes	Number of results per page Bounded 1-25 by looot; required, see endpoint description. Example: 1
`max_employee_count`	string	no	Maximum number of employees in a company
`max_employee_count_or_null`	string	no	Maximum number of employees in a company. If we don’t have company size information, we will return it as well.
`max_funding_usd`	string	no	Maximum company funding, in USD
`max_revenue_usd`	string	no	Maximum company revenue, in USD
`min_employee_count`	string	no	Minimum number of employees in a company
`min_employee_count_or_null`	string	no	Minimum number of employees in a company. If we don’t have company size information, we will return it as well.
`min_funding_usd`	string	no	Minimum company funding, in USD
`min_num_jobs_found`	string	no	Minimum number of jobs matching `job_filters` a company must have to be returned (thresholds the `num_jobs_found` count). Requires `job_filters` with a date filter, so the count is always computed over the date-bounded set of matching jobs.
`min_revenue_usd`	string	no	Minimum company revenue, in USD
`offset`	integer	no	Number of results to skip. Required for offset-based pagination. Example: 0
`only_yc_companies`	string	no	Only return YC companies
`order_by`	array	no	List of column objects. You can pass several columns to order by, in order of priority. Only `field` is required, `desc` is True by default
`page`	integer	no	Page number. Required when using page-based pagination. Example: 0
`property_exists_and`	array	no	Return companies that have all of these fields not null. For example, if you pass [‘domain’, ‘linkedin_url’], it will return companies that have both domain AND linkedin_url set.
`property_exists_or`	array	no	Return companies that have any of these fields not null. For example, if you pass [‘domain’, ‘linkedin_url’], it will return companies that have a domain OR a linkedin_url set.
`revealed_company_data`	string	no	This field is deprecated and has no effect.
`tech_filters`	string	no	Filter by technologies and buying intent topics detected for the company

Output

Shape of the run’s result, checked against 12 real answers:

{ data: { id, url, city, logo, name, domain, country, industry, num_jobs, yc_bat... ...

The shape is cut here. Signed in, looot inspect theirstack-companies-search prints all of it.

Run it

Every call needs your API token in LOOOT_TOKEN; Sign in shows how to get one. Each run also needs a new idempotency key, so a retry never pays twice. With wait: 30 the answer comes back inline when the run ends within 30 seconds. Otherwise you get the running run back: poll GET /v1/runs/<runId>.

Example input with placeholder values:

curl -X POST "https://api.looot.ai/v1/runs" \
  -H "Authorization: Bearer $LOOOT_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{"endpointId":"theirstack-companies-search","input":{"limit":1,"page":0,"offset":0,"company_id_or":[],"company_id_not":[],"company_name_or":[],"max_funding_usd":null,"max_revenue_usd":null,"min_funding_usd":null,"min_revenue_usd":null,"company_name_not":[],"company_domain_or":[],"company_domain_not":[],"max_employee_count":null,"min_employee_count":null,"min_num_jobs_found":null,"property_exists_or":[],"property_exists_and":[],"revealed_company_data":null,"company_linkedin_url_or":[],"max_employee_count_or_null":null,"min_employee_count_or_null":null,"company_linkedin_url_exists":"https://www.linkedin.com/in/janedoe","last_funding_round_date_gte":null,"last_funding_round_date_lte":null,"company_name_partial_match_or":[],"company_name_partial_match_not":[],"company_name_case_insensitive_or":[],"company_description_pattern_accent_insensitive":null},"wait":30}'

const response = await fetch("https://api.looot.ai/v1/runs", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.LOOOT_TOKEN}`,
    "Content-Type": "application/json",
    "Idempotency-Key": crypto.randomUUID(),
  },
  body: JSON.stringify({
    endpointId: "theirstack-companies-search",
    input: {
      limit: 1,
      page: 0,
      offset: 0,
      company_id_or: [],
      company_id_not: [],
      company_name_or: [],
      max_funding_usd: null,
      max_revenue_usd: null,
      min_funding_usd: null,
      min_revenue_usd: null,
      company_name_not: [],
      company_domain_or: [],
      company_domain_not: [],
      max_employee_count: null,
      min_employee_count: null,
      min_num_jobs_found: null,
      property_exists_or: [],
      property_exists_and: [],
      revealed_company_data: null,
      company_linkedin_url_or: [],
      max_employee_count_or_null: null,
      min_employee_count_or_null: null,
      company_linkedin_url_exists: "https://www.linkedin.com/in/janedoe",
      last_funding_round_date_gte: null,
      last_funding_round_date_lte: null,
      company_name_partial_match_or: [],
      company_name_partial_match_not: [],
      company_name_case_insensitive_or: [],
      company_description_pattern_accent_insensitive: null,
    },
    wait: 30,
  }),
});
const run = await response.json();
console.log(run.status, run.result);

import os
import uuid

import requests

response = requests.post(
    "https://api.looot.ai/v1/runs",
    headers={
        "Authorization": f"Bearer {os.environ['LOOOT_TOKEN']}",
        "Idempotency-Key": str(uuid.uuid4()),
    },
    json={
        "endpointId": "theirstack-companies-search",
        "input": {
            "limit": 1,
            "page": 0,
            "offset": 0,
            "company_id_or": [],
            "company_id_not": [],
            "company_name_or": [],
            "max_funding_usd": None,
            "max_revenue_usd": None,
            "min_funding_usd": None,
            "min_revenue_usd": None,
            "company_name_not": [],
            "company_domain_or": [],
            "company_domain_not": [],
            "max_employee_count": None,
            "min_employee_count": None,
            "min_num_jobs_found": None,
            "property_exists_or": [],
            "property_exists_and": [],
            "revealed_company_data": None,
            "company_linkedin_url_or": [],
            "max_employee_count_or_null": None,
            "min_employee_count_or_null": None,
            "company_linkedin_url_exists": "https://www.linkedin.com/in/janedoe",
            "last_funding_round_date_gte": None,
            "last_funding_round_date_lte": None,
            "company_name_partial_match_or": [],
            "company_name_partial_match_not": [],
            "company_name_case_insensitive_or": [],
            "company_description_pattern_accent_insensitive": None,
        },
        "wait": 30,
    },
    timeout=90,
)
run = response.json()
print(run["status"], run.get("result"))

To let looot pick among every provider of this job instead, send job:company.search as endpointId; see the job page.