---
title: "Count matching people"
method: POST
path: "/api/v1/people/count"
tags: ["People Search"]
---

# Count matching people

`POST /api/v1/people/count`

## Request

- Base URL: `https://api.scalelist.com`
- URL: `https://api.scalelist.com/api/v1/people/count`
- Auth: API key in header `x-api-key`

See how many people match your filters before you pay for any profiles.

Takes the same filters as `POST /people/search`, minus pagination.

Costs **1 credit per call**, however large the audience — sizing an
audience of 40,000 people still costs 1. `credits_charged` on the
response says what you paid.

## Request body

- object: Remove specific titles or companies from the result set.
  - `job_titles` string[]: Job titles to match (OR logic). Free text, e.g. ["CTO", "VP of Engineering"].
  - `job_functions` string[]: Functional areas (OR logic). Canonical values: Operations, Business Development, Sales, Education, Engineering, Healthcare Services, Information Technology, Administrative, Arts and Design, Customer Success and Support, Finance, Community and Social Services, Media and Communication, Accounting, Marketing, Human Resources, Research, Program and Project Management, Legal, Military and Protective Services, Consulting, Entrepreneurship, Real Estate, Quality Assurance, Purchasing, Product Management, Leadership.
  - `seniority` string[]: Career levels (OR logic). Canonical values: Owner / Founder, CXO, Partner, VP, Head, Director, Manager, Senior, Entry, Intern.
  - `locations` object[]: Locations with explicit granularity (OR logic). Each entry: { type: "city"|"state"|"country", value, country? }.
    - `type` 'city' | 'state' | 'country', required: Granularity: city | state | country
    - `value` string, required: Location value at the chosen granularity, e.g. "San Francisco", "California", "United States".
    - `country` string: City entries only: the country the city is in, e.g. { type: "city", value: "Toronto", country: "Canada" }. Removes same-name places in other countries ("Toronto" otherwise also matches Trento, Italy).
  - `exclude_locations` object[]: Locations to exclude, same shape as `locations`. Example: "US except California".
    - `type` 'city' | 'state' | 'country', required: Granularity: city | state | country
    - `value` string, required: Location to exclude at the chosen granularity.
  - `industries` string[]: Industries (OR logic). Free text; canonical Scalelist values recommended, e.g. Defense & Space, Computer Hardware, Computer Software, Computer Networking, Internet, Semiconductors, ...
  - `company_size` object: Employee count range: { min, max }. Either bound optional.
    - `min` integer: Minimum employee count (inclusive)
    - `max` integer: Maximum employee count (inclusive)
  - `recently_changed_jobs` boolean: Only people whose current role started in roughly the last 3 months. High-intent buying signal.
  - `min_followers` integer: Only people with at least this many LinkedIn followers.
  - `keyword` string: A single free-text term matched anywhere on the profile. To match several terms with OR logic, use `keywords` (plural) instead.
  - `keywords` string[]: Free-text keywords, OR logic: a person matches if ANY term appears on their profile.
  - `exclude_keywords` string[]: Free-text keywords to exclude: a person is dropped if any term appears on their profile.
  - `open_to` string[]: Person-level buying signals from their own profile badges, e.g. ["hiring"].
  - `years_in_current_role` object: Years at the current employer: { min, max }. Either bound optional.
    - `min` number: Minimum years (inclusive)
    - `max` number: Maximum years (inclusive)
  - `years_of_experience` object: Total years of professional experience: { min, max }. Either bound optional.
    - `min` number: Minimum years (inclusive)
    - `max` number: Maximum years (inclusive)
  - `skills` string[]: Skills listed on the profile (OR logic), e.g. ["Salesforce", "Python"]. Search results do not show skills.
  - `languages` string[]: Languages the person speaks (OR logic), e.g. ["French", "German"].
  - `schools` string[]: Schools or universities attended (OR logic), e.g. ["Stanford", "HEC Paris"].
  - `certifications` string[]: Certifications held (OR logic), e.g. ["PMP"]. Search results do not show certifications.
  - `companies` string[]: Company names (OR logic), e.g. ["Salesforce", "HubSpot"].
  - `company_domains` string[]: Company domains (OR logic), e.g. ["stripe.com"].
  - `past_companies` string[]: Companies the person previously worked at, by name (OR logic). With past_job_titles / past_seniority, all must hold for the SAME past role.
  - `past_job_titles` string[]: Job titles held in a past role (OR logic), e.g. ["Founder"]. With past_companies / past_seniority, all must hold for the SAME past role.
  - `past_seniority` string[]: Career level of a past role (OR logic). One of: Owner / Partner, CXO, Vice President, Director, Experienced Manager, Entry Level Manager, Strategic, Senior, Entry Level, In Training.
  - `company_hq_countries` string[]: Country where the current employer is headquartered (OR logic). Full English name or ISO alpha-3 code, e.g. ["Germany", "USA"].
  - `company_type` string[]: Company category filter, e.g. ["public company"] or ["non-profit"] (OR logic).
  - `exclude_job_titles` string[]: Job titles to exclude from results.
  - `exclude_companies` string[]: Company names to exclude from results.
  - `exclude_company_domains` string[]: Company websites to exclude from results, e.g. ["stripe.com"].
  - `exclude_industries` string[]: Industries to exclude (current employer). Resolved like `industries`; a word with no matching industry is refused with 422.
  - `exclude_seniority` string[]: Career levels to exclude (current role). One of: Owner / Partner, CXO, Vice President, Director, Experienced Manager, Entry Level Manager, Strategic, Senior, Entry Level, In Training.
  - `exclude_job_functions` string[]: Job functions to exclude (current role). Resolved like `job_functions`; a value with no matching function is refused with 422.
  - `exclude_past_companies` string[]: Drop anyone who previously worked at any of these companies, by name.
  - `exclude_past_job_titles` string[]: Drop anyone who held any of these job titles in a past role.
  - `exclude_past_seniority` string[]: Drop anyone who held any of these career levels in a past role. One of: Owner / Partner, CXO, Vice President, Director, Experienced Manager, Entry Level Manager, Strategic, Senior, Entry Level, In Training.
  - `exclude_company_hq_countries` string[]: Drop people whose current employer is headquartered in any of these countries. Full English name or ISO alpha-3 code.
  - `exclude_skills` string[]: Drop anyone who lists any of these skills.
  - `exclude_languages` string[]: Drop anyone who lists any of these languages.
  - `exclude_schools` string[]: Drop anyone who attended any of these schools.
  - `exclude_certifications` string[]: Drop anyone who holds any of these certifications.

## Response `200`

Default Response

---

[API](https://skmtc.dev/scalelist/apis/scalelist-api.md) · [All operations](https://skmtc.dev/scalelist/apis/scalelist-api/llms.txt) · [OpenAPI document](https://skmtc.dev/scalelist/apis/scalelist-api/revisions/4863f1805423?raw)
