> ## Documentation Index
> Fetch the complete documentation index at: https://developers.explorium.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Prospects Statistics

> Fetch stats for businesses.

# Prospects Statistics

### **Introduction**

The **Prospects Statistics** API provides aggregated insights and distributions for prospects based on your search criteria. This powerful analytics endpoint helps you understand the composition of your prospect universe, enabling data-driven decisions for sales territory planning, market analysis, and campaign targeting.

📌 **Key Benefits:**

* Get **instant insights** into prospect distributions without fetching individual records
* Understand **market composition** by department, seniority, location, and more
* Receive **dynamic statistics** that adapt to your filter criteria
* Make **data-driven decisions** for territory planning and resource allocation
* **No credit charges** for statistical analysis

***

<AccordionGroup>
  <Accordion title="How It Works" icon="sparkles">
    **Input:** Provide filters identical to the prospects fetch endpoint to define your target audience
    2\. **Processing:** The system aggregates prospect data based on your filters and calculates distributions
    3\. **Output:** Dynamic statistics showing distributions for the filters you've applied
    4\. **Intelligence:** The response structure adapts based on which filters are used in the request
  </Accordion>

  <Accordion title="Request Schema" icon="sparkles">
    | Field     | Type   | Description                                                                                             | Required |
    | --------- | ------ | ------------------------------------------------------------------------------------------------------- | -------- |
    | `filters` | Object | Filter criteria to define the prospect universe. Supports all filters from the `/v1/prospects` endpoint | No       |

    **Note:** See the "Supported Filters" section below for the complete list of available filters and their usage.
  </Accordion>

  <Accordion title="Supported Filters" icon="sparkles">
    This endpoint supports **ALL filters** available in the `/v1/prospects` fetch endpoint:

    ### **Contact Availability Filters**

    | Filter             | Description                  | Example           |
    | ------------------ | ---------------------------- | ----------------- |
    | `has_email`        | Filter by email availability | `{"value": true}` |
    | `has_phone_number` | Filter by phone availability | `{"value": true}` |

    ### **Professional Filters**

    | Filter                    | Description                    | Example                                             |
    | ------------------------- | ------------------------------ | --------------------------------------------------- |
    | `job_level`               | Filter by seniority level      | `{"values": ["director", "vp", "cxo"]}`             |
    | `job_department`          | Filter by department           | `{"values": ["sales", "marketing", "engineering"]}` |
    | `job_title`               | Filter by job title keywords   | `{"value": "Sales Representative"}`                 |
    | `total_experience_months` | Filter by total experience     | `{"gte": 60, "lte": 120}`                           |
    | `current_role_months`     | Filter by time in current role | `{"gte": 12}`                                       |

    ### **Geographic Filters**

    | Filter                | Description                     | Example                            |
    | --------------------- | ------------------------------- | ---------------------------------- |
    | `country_code`        | Filter by prospect's country    | `{"values": ["us", "gb", "de"]}`   |
    | `region_country_code` | Filter by prospect's region     | `{"values": ["us-ca", "us-ny"]}`   |
    | `city_region_country` | Filter by city, region, country | `{"values": ["New York, NY, US"]}` |

    ### **Company Filters**

    | Filter                        | Description                     | Example                                |
    | ----------------------------- | ------------------------------- | -------------------------------------- |
    | `business_id`                 | Filter by specific business IDs | `{"values": ["exp_id_1", "exp_id_2"]}` |
    | `company_name`                | Filter by company names         | `{"values": ["Meta", "Tesla"]}`        |
    | `company_size`                | Filter by employee count ranges | `{"values": ["51-200", "201-500"]}`    |
    | `company_revenue`             | Filter by revenue ranges        | `{"values": ["10M-50M", "50M-100M"]}`  |
    | `company_country_code`        | Filter by company HQ country    | `{"values": ["us", "ca"]}`             |
    | `company_region_country_code` | Filter by company HQ region     | `{"values": ["us-ca", "us-tx"]}`       |

    ### **Industry Classification Filters**

    | Filter              | Description                          | Example                                                      |
    | ------------------- | ------------------------------------ | ------------------------------------------------------------ |
    | `google_category`   | Filter by Google business category   | `{"values": ["Software Development", "Retail"]}`             |
    | `naics_category`    | Filter by NAICS industry codes       | `{"values": ["5611", "23"]}`                                 |
    | `linkedin_category` | Filter by LinkedIn business category | `{"values": ["software development", "investment banking"]}` |

    **Filter Structure:**

    * Use `{"values": [...]}` for multi-value filters
    * Use `{"value": ...}` for single-value or boolean filters
    * Use `{"gte": ..., "lte": ...}` for numeric range filters
  </Accordion>

  <Accordion title="Dynamic Response Structure" icon="sparkles">
    The response intelligently adapts based on the filters used in your request:

    | Filters Used                             | Statistics Returned                          | Use Case                       |
    | ---------------------------------------- | -------------------------------------------- | ------------------------------ |
    | `job_department` + `region_country_code` | Distribution of departments across regions   | Territory planning by function |
    | `job_department` + `country_code`        | Distribution of departments across countries | Executive targeting analysis   |
    | Single filter only                       | Simple count distribution                    | Quick market sizing            |

    **Always Included:**

    * `total_results`: Total count of matching prospects
    * `response_context`: Request metadata and performance metrics
  </Accordion>

  <Accordion title="Request Examples" icon="sparkles">
    ```json theme={null}
    {
    "filters": {
    "job_department": {
      "values": ["engineering", "sales", "marketing"]
    },
    "region_country_code": {
      "values": ["us-ca", "us-ny", "us-tx"]
    },
    "company_size": {
      "values": ["51-200", "201-500"]
    }
    }
    }
    ```
  </Accordion>

  <Accordion title="Response Examples" icon="sparkles">
    **Department by Region Response:**

    ```json theme={null}
    {
      "response_context": {
        "correlation_id": "812719a515474144a8cac019d7776b14",
        "request_status": "success",
        "time_took_in_seconds": 0.75
      },
      "total_results": 4500,
      "stats": {
        "job_departments_per_location": {
          "engineering": {
            "California, US": 850,
            "New York, US": 620,
            "Texas, US": 480,
            "total": 1950
          },
          "sales": {
            "California, US": 560,
            "New York, US": 410,
            "Texas, US": 380,
            "total": 1350
          },
          "marketing": {
            "California, US": 420,
            "New York, US": 350,
            "Texas, US": 430,
            "total": 1200
          },
          "total_per_location": {
            "California, US": 1830,
            "New York, US": 1380,
            "Texas, US": 1290,
            "total": 4500
          }
        }
      }
    }
    ```
  </Accordion>

  <Accordion title="Use Cases" icon="sparkles">
    ### **Sales Territory Planning**

    * Analyze prospect distribution across regions using `region_country_code` and `job_department`
    * Balance territories based on prospect density with `company_size` and `job_level` filters
    * Identify underserved markets by comparing prospect counts across geographic areas

    ### **Account-Based Marketing (ABM)**

    * Target specific companies using `company_name` or `business_id` filters
    * Analyze decision-maker distribution with `job_level` and `job_department`
    * Segment by company characteristics using `company_revenue` and `company_size`

    ### **Campaign Targeting**

    * Size your total addressable market using industry filters (`naics_category`, `linkedin_category`)
    * Validate contact availability with `has_email` and `has_phone_number`
    * Focus on new decision-makers using `current_role_months` filter

    ### **Market Intelligence**

    * Compare prospect density across industries using classification filters
    * Analyze experience levels with `total_experience_months`
    * Track job mobility trends with role duration filters

    ### **Lead Scoring & Qualification**

    * Identify high-value segments combining `job_level`, `company_revenue`, and `job_department`
    * Find prospects in growth companies using company size and revenue filters
    * Target specific buyer personas with precise filter combinations
  </Accordion>

  <Accordion title="Best Practices" icon="sparkles">
    * **Start broad, then narrow:** Begin with 1-2 filters to understand market size, then add filters progressively
    * **Validate before fetching:** Always run stats before expensive fetch operations to ensure sufficient results
    * **Use classification filters:** Leverage `naics_category` or `linkedin_category` for accurate industry targeting
    * **Combine geographic levels:** Use country → region → city filters for precise location targeting
    * **Monitor regularly:** Schedule weekly/monthly stats queries to track market changes
    * **Cross-reference filters:** Combine professional (job\_level) with company (company\_size) filters for better segmentation
    * **Experience targeting:** Use experience filters to identify senior professionals or recent role changes
    * **Industry-specific analysis:** Combine industry classifications with other filters for vertical-specific insights
  </Accordion>

  <Accordion title="Important Notes" icon="sparkles">
    * **No credit charges:** Statistical queries are free and don't consume any credits
    * **Real-time data:** Statistics reflect the current state of the prospect database
    * **Dynamic response:** Response structure automatically adapts to your filter combination
    * **All filters supported:** Every filter from the `/v1/prospects` endpoint works here
  </Accordion>
</AccordionGroup>

**Try Me Example:**

```json theme={null}
  {
    "filters": {
      "job_department": {
        "values": ["engineering", "sales", "marketing"]
      },
      "region_country_code": {
        "values": ["us-ca", "us-ny", "us-tx"]
      },
      "company_size": {
        "values": ["51-200", "201-500"]
      }
    }
  }
```


## OpenAPI

````yaml post /v1/prospects/stats
openapi: 3.1.0
info:
  title: Partner Service
  version: 0.2.349
servers:
  - url: https://api.explorium.ai
    description: AgentSource Server
security: []
paths:
  /v1/prospects/stats:
    post:
      tags:
        - Prospects
      summary: Prospect Fetch Stats
      description: Fetch stats for businesses.
      operationId: prospect_fetch_stats
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/ProspectsStatsRequest'
        required: true
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ProspectsStatsResponse'
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
      security:
        - APIKeyHeader: []
        - APIKeyHeader: []
components:
  schemas:
    ProspectsStatsRequest:
      properties:
        request_context:
          type: object
          title: Request Context
          example: null
          nullable: true
        filters:
          $ref: '#/components/schemas/ProspectsFetchFilters'
      additionalProperties: false
      type: object
      required:
        - filters
      title: ProspectsStatsRequest
    ProspectsStatsResponse:
      properties:
        response_context:
          $ref: '#/components/schemas/ResponseContext'
        total_results:
          type: integer
          title: Total Results
        stats:
          $ref: '#/components/schemas/ProspectsStats'
      type: object
      required:
        - response_context
        - total_results
        - stats
      title: ProspectsStatsResponse
      description: 'This is base response model for all responses in partner service. '
    HTTPValidationError:
      properties:
        detail:
          items:
            $ref: '#/components/schemas/ValidationError'
          type: array
          title: Detail
      type: object
      title: HTTPValidationError
    ProspectsFetchFilters:
      properties:
        prospect_id:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_ProspectId_'
          title: Prospect ID
          description: Filter prospects by specific Explorium prospect IDs
          example:
            values:
              - edf268ac410ff3ba9ca9cc67b065664f38201984
              - 5b486640efabe6f8bb8cf446e80169ba4a1c5ad8
          nullable: true
        has_email:
          allOf:
            - $ref: '#/components/schemas/ExistsFilter'
          title: Has Email
          description: >-
            Filter prospects by whether they have an email. Categories: [True,
            False]
          example:
            value: true
        has_phone_number:
          allOf:
            - $ref: '#/components/schemas/ExistsFilter'
          title: Has Phone Number
          description: >-
            Filter prospects by whether they have a phone number. Categories:
            [True, False]
          example:
            value: true
        job_level:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_JobSeniorityLevel_'
          title: Job Level
          description: >-
            Filter prospects by their job level. Categories: [director, manager,
            vp, partner, cxo, non-managerial, senior, entry, training, unpaid]
          example:
            values:
              - owner
              - c-suite
              - vice president
              - director
              - senior non-managerial
              - manager
              - partner
              - non-managerial
              - junior
              - president
              - senior manager
              - advisor
              - freelancer
              - board member
              - founder
              - training
              - unpaid
        job_department:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_JobDepartment_'
          title: Job Department
          description: >-
            Filter prospects by their job department. Categories: [customer
            service, design, education, engineering, finance, general, health,
            sales, ...]
          example:
            values:
              - administration
              - real estate
              - healthcare
              - partnerships
              - c-suite
              - design
              - human resources
              - engineering
              - education
              - strategy
              - product
              - sales
              - r&d
              - retail
              - customer success
              - security
              - public service
              - creative
              - it
              - support
              - marketing
              - trade
              - legal
              - operations
              - procurement
              - data
              - manufacturing
              - logistics
              - finance
        business_id:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_BusinessId_'
          title: Business ID
          description: >-
            Filter prospects by account. Use Explorium entity IDs. Maximum
            10,000 items allowed. Example: [EXP_ENTITY_ID_1, EXP_ENTITY_ID_2]
          example:
            values:
              - 8adce3ca1cef0c986b22310e369a0793
              - 340c8040bd50cbab9c7df718bbe51cc9
        total_experience_months:
          allOf:
            - $ref: '#/components/schemas/RangeFilter_Int_'
          title: Total Experience Months
          description: Filter by total months of experience.
          example:
            gte: 1
            lte: 10
        country_code:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_CountryCodeAlpha2_'
          title: Country Code
          description: 'Filter prospects by country using alpha-2 codes. Example: [us, ca]'
          example:
            values:
              - US
              - CA
        region_country_code:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_RegionCode_'
          title: Region Country Code
          description: >-
            Filter prospects by region using ISO 3166-2 codes. Example: [us-ut,
            us-ca]
          example:
            values:
              - US-CA
              - IL-TA
        current_role_months:
          allOf:
            - $ref: '#/components/schemas/RangeFilter_Int_'
          title: Current Role Months
          description: Filter by number of months in current role.
          example:
            gte: 1
            lte: 10
        company_size:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_NumberOfEmployeesRange_'
          title: Company Size
          description: >-
            Filter by company’s number of employees. Options: [1-10, 11-50, ...,
            10001+]
          example:
            values:
              - 1-10
              - 11-50
              - 51-200
              - 201-500
              - 501-1000
              - 1001-5000
              - 5001-10000
              - 10001+
        company_revenue:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_RevenueRange_'
          title: Company Revenue
          description: >-
            Filter by company’s annual revenue. Options: [0-500K, 500K-1M, ...,
            10B-100B]
          example:
            values:
              - 0-500K
              - 500K-1M
              - 1M-5M
              - 5M-10M
              - 10M-25M
              - 25M-75M
              - 75M-200M
              - 200M-500M
              - 500M-1B
              - 1B-10B
              - 10B-100B
              - 100B-1T
              - 1T-10T
              - 10T+
        company_age:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_CompanyAgeRange_'
          title: Company Age
          description: 'Filter by company age. Options: [0-3, 3-6, 6-10, 10-20, 20+]'
          example:
            values:
              - 0-3
              - 3-6
              - 6-10
              - 10-20
              - 20+
        company_number_of_locations:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_NumberOfLocations_'
          title: Number Of Locations
          description: >-
            Filter by company office count. Options: [0-1, 2-5, 6-20, 21-50,
            51-100, 101-1000, 1001+]
          example:
            values:
              - 0-1
              - 2-5
              - 6-20
              - 21-50
              - 51-100
              - 101-1000
              - 1001+
        google_category:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_StandardizedText_'
          title: Google Category
          description: >-
            Filter by company’s Google business category. Example: [Paving
            contractor, Retail]
          example:
            values:
              - construction
        naics_category:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_NAICS_'
          title: NAICS Category
          description: 'Filter by NAICS code (2, 4, or full). Example: [23, 5611]'
          example:
            values:
              - '541512'
        linkedin_category:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_Text_'
          title: LinkedIn Category
          description: >-
            Filter by company’s LinkedIn business category. Example: [software
            development, investment banking]
          example:
            values:
              - retail
        job_title:
          allOf:
            - $ref: '#/components/schemas/JobTitleFilter'
          title: Job Title
          description: >-
            Filter prospects by their job titles. Supports
            include_related_job_titles parameter. Example: [Sales
            Representative, SEO specialist, Technical Support Engineer]
          example:
            values:
              - Software Engineer
              - Data Scientist
            include_related_job_titles: false
        skills:
          allOf:
            - $ref: '#/components/schemas/AnyMatchPhraseFilter_Text_'
          title: Skills
          description: 'Filter prospects by skills. Example: [python, project management]'
          example:
            values:
              - python
              - project management
          nullable: true
        interests:
          allOf:
            - $ref: '#/components/schemas/AnyMatchPhraseFilter_Text_'
          title: Interests
          description: >-
            Filter prospects by interests. Values should come from the interests
            autocomplete field. Example: [diy, travel]
          example:
            values:
              - diy
              - travel
          nullable: true
        company_country_code:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_CountryCodeAlpha2_'
          title: Company Country Code
          description: 'Filter by company HQ country using alpha-2 codes. Example: [us, ca]'
          example:
            values:
              - US
              - CA
        company_region_country_code:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_RegionCode_'
          title: Company Region Country Code
          description: >-
            Filter by company HQ region using ISO 3166-2 codes. Example: [us-ut,
            us-ca]
          example:
            values:
              - US-CA
              - IL-TA
        city_region_country:
          allOf:
            - $ref: '#/components/schemas/IncludesFilter_Text_'
          title: City Region Country
          description: Filter by city region country.
          example:
            values:
              - Paris, FR
              - Tel Aviv, IL
              - Miami, FL, US
        company_name:
          allOf:
            - $ref: '#/components/schemas/AnyMatchFilter_OrganizationName_'
          title: Company Name
          description: 'Filter by company name. Example: [Meta, Tesla]'
          example:
            values:
              - Microsoft
              - Google
        has_website:
          allOf:
            - $ref: '#/components/schemas/ExistsFilter'
          title: Has Website
          description: >-
            Filter prospects by whether their company has a website. Categories:
            [True, False]
          example:
            value: true
          nullable: true
        is_public_company:
          allOf:
            - $ref: '#/components/schemas/ExistsFilter'
          title: Is Public Company
          description: Filter prospects by whether their company is publicly traded.
          example:
            value: true
          nullable: true
      additionalProperties: false
      type: object
      title: ProspectsFetchFilters
      example: {}
    ResponseContext:
      properties:
        correlation_id:
          type: string
          title: Correlation Id
        request_status:
          $ref: '#/components/schemas/RequestStatus'
        time_took_in_seconds:
          type: number
          title: Time Took In Seconds
      type: object
      required:
        - correlation_id
        - request_status
        - time_took_in_seconds
      title: ResponseContext
    ProspectsStats:
      properties:
        job_departments_per_location:
          type: object
          title: Job Departments Per Location
        total_per_location:
          type: object
          title: Total Per Location
      type: object
      title: ProspectsStats
    ValidationError:
      properties:
        loc:
          items:
            anyOf:
              - type: string
              - type: integer
          type: array
          title: Location
        msg:
          type: string
          title: Message
        type:
          type: string
          title: Error Type
      type: object
      required:
        - loc
        - msg
        - type
      title: ValidationError
    IncludesFilter_ProspectId_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            type: string
            pattern: ^[a-f0-9]{40}$
          type: array
          title: Values
      additionalProperties: false
      type: object
      required:
        - values
      title: IncludesFilter[ProspectId]
    ExistsFilter:
      properties:
        negate:
          type: boolean
          title: Negate
        value:
          type: boolean
          title: Value
      additionalProperties: false
      type: object
      required:
        - value
      title: ExistsFilter
    IncludesFilter_JobSeniorityLevel_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            $ref: '#/components/schemas/JobSeniorityLevel'
          type: array
      additionalProperties: false
      type: object
      required:
        - values
      title: IncludesFilter[JobSeniorityLevel]
    IncludesFilter_JobDepartment_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            $ref: '#/components/schemas/JobDepartment'
          type: array
      additionalProperties: false
      type: object
      required:
        - values
      title: IncludesFilter[JobDepartment]
    IncludesFilter_BusinessId_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            type: string
            pattern: ^[a-f0-9]{32}$
          type: array
          title: Values
      additionalProperties: false
      type: object
      required:
        - values
      title: IncludesFilter[BusinessId]
    RangeFilter_Int_:
      properties:
        negate:
          type: boolean
          title: Negate
        gte:
          type: integer
          title: Gte
        lte:
          type: integer
          title: Lte
      additionalProperties: false
      type: object
      title: RangeFilter[Int]
    IncludesFilter_CountryCodeAlpha2_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            type: string
            pattern: >-
              ^(aw|af|ao|ai|ax|al|ad|ae|ar|am|as|aq|tf|ag|au|at|az|bi|be|bj|bq|bf|bd|bg|bh|bs|ba|bl|by|bz|bm|bo|br|bb|bn|bt|bv|bw|cf|ca|cc|ch|cl|cn|ci|cm|cd|cg|ck|co|km|cv|cr|cu|cw|cx|ky|cy|cz|de|dj|dm|dk|do|dz|ec|eg|er|eh|es|ee|et|fi|fj|fk|fr|fo|fm|ga|gb|ge|gg|gh|gi|gn|gp|gm|gw|gq|gr|gd|gl|gt|gf|gu|gy|hk|hm|hn|hr|ht|hu|id|im|in|io|ie|ir|iq|is|il|it|jm|je|jo|jp|kz|ke|kg|kh|ki|kn|kr|kw|la|lb|lr|ly|lc|li|lk|ls|lt|lu|lv|mo|mf|ma|mc|md|mg|mv|mx|mh|mk|ml|mt|mm|me|mn|mp|mz|mr|ms|mq|mu|mw|my|yt|na|nc|ne|nf|ng|ni|nu|nl|no|np|nr|nz|om|pk|pa|pn|pe|ph|pw|pg|pl|pr|kp|pt|py|ps|pf|qa|re|ro|ru|rw|sa|sd|sn|sg|gs|sh|sj|sb|sl|sv|sm|so|pm|rs|ss|st|sr|sk|si|se|sz|sx|sc|sy|tc|td|tg|th|tj|tk|tm|tl|to|tt|tn|tr|tv|tw|tz|ug|ua|um|uy|us|uz|va|vc|ve|vg|vi|vn|vu|wf|ws|xk|ye|za|zm|zw)$
          type: array
          title: Values
      additionalProperties: false
      type: object
      required:
        - values
      title: IncludesFilter[CountryCodeAlpha2]
    IncludesFilter_RegionCode_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            type: string
            pattern: >-
              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          type: array
          title: Values
      additionalProperties: false
      type: object
      required:
        - values
      title: IncludesFilter[RegionCode]
    IncludesFilter_NumberOfEmployeesRange_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            $ref: '#/components/schemas/NumberOfEmployeesRange'
          type: array
      additionalProperties: false
      type: object
      required:
        - values
      title: IncludesFilter[NumberOfEmployeesRange]
    IncludesFilter_RevenueRange_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            $ref: '#/components/schemas/RevenueRange'
          type: array
      additionalProperties: false
      type: object
      required:
        - values
      title: IncludesFilter[RevenueRange]
    IncludesFilter_CompanyAgeRange_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            $ref: '#/components/schemas/CompanyAgeRange'
          type: array
      additionalProperties: false
      type: object
      required:
        - values
      title: IncludesFilter[CompanyAgeRange]
    IncludesFilter_NumberOfLocations_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            $ref: '#/components/schemas/NumberOfLocations'
          type: array
      additionalProperties: false
      type: object
      required:
        - values
      title: IncludesFilter[NumberOfLocations]
    IncludesFilter_StandardizedText_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            type: string
          type: array
          title: Values
      additionalProperties: false
      type: object
      required:
        - values
      title: IncludesFilter[StandardizedText]
    IncludesFilter_NAICS_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            type: string
            pattern: ^\d{2,6}$
          type: array
          title: Values
      additionalProperties: false
      type: object
      required:
        - values
      title: IncludesFilter[NAICS]
    IncludesFilter_Text_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            type: string
          type: array
          title: Values
      additionalProperties: false
      type: object
      required:
        - values
      title: IncludesFilter[Text]
    JobTitleFilter:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            type: string
          type: array
          maxItems: 300
          title: Job Titles
          description: List of job titles to filter by. Maximum 300 items allowed.
          example:
            - Software Engineer
            - Data Scientist
        operator:
          type: string
          enum:
            - or
            - and
          title: Operator
        include_related_job_titles:
          type: boolean
          title: Include Related Job Titles
          description: When set to true, includes related job titles in the search.
          example: false
          nullable: true
      additionalProperties: false
      type: object
      required:
        - values
      title: JobTitleFilter
    AnyMatchPhraseFilter_Text_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            type: string
          type: array
          title: Values
        operator:
          type: string
          enum:
            - or
            - and
          title: Operator
      additionalProperties: false
      type: object
      required:
        - values
      title: AnyMatchPhraseFilter[Text]
    AnyMatchFilter_OrganizationName_:
      properties:
        negate:
          type: boolean
          title: Negate
        values:
          items:
            type: string
            maxLength: 256
          type: array
          title: Values
      additionalProperties: false
      type: object
      required:
        - values
      title: AnyMatchFilter[OrganizationName]
    RequestStatus:
      type: string
      enum:
        - success
        - miss
        - failure
      title: RequestStatus
      description: >-
        The `RequestStatus` class is an enumeration that defines the possible
        statuses of a request.


        This enum is used to indicate whether a request was successful, missed,
        or failed. It ensures

        consistent handling of request statuses across the application.


        Attributes:
            SUCCESS: Indicates that the request was successfully processed.
            MISS: Indicates that the request did not find any matching data.
            FAILURE: Indicates that the request encountered an error or failure.
    JobSeniorityLevel:
      type: string
      enum:
        - owner
        - c-suite
        - vice president
        - director
        - senior non-managerial
        - manager
        - partner
        - non-managerial
        - junior
        - president
        - senior manager
        - advisor
        - freelancer
        - board member
        - founder
        - training
        - unpaid
      title: JobSeniorityLevel
      description: >-
        The `JobSeniorityLevel` class is an enumeration that represents various
        levels of job seniority.


        This enum is used to categorize jobs based on their seniority levels,
        such as:

        - Entry-level positions

        - Managerial roles

        - Executive roles (e.g., C-Suite, VP)


        These categories ensure consistent filtering and classification of
        job-related data across the application.
    JobDepartment:
      type: string
      enum:
        - administration
        - real estate
        - healthcare
        - partnerships
        - c-suite
        - design
        - human resources
        - engineering
        - education
        - strategy
        - product
        - sales
        - r&d
        - retail
        - customer success
        - security
        - public service
        - creative
        - it
        - support
        - marketing
        - trade
        - legal
        - operations
        - procurement
        - data
        - manufacturing
        - logistics
        - finance
      title: JobDepartment
      description: >-
        The `JobDepartment` class is an enumeration that represents various job
        departments.


        This enum is used to categorize jobs based on their associated
        departments, such as:

        - Engineering

        - Marketing

        - Sales

        - Legal

        - Customer Service


        These categories ensure consistent filtering and classification of
        job-related data across the application.
    NumberOfEmployeesRange:
      type: string
      enum:
        - 1-10
        - 11-50
        - 51-200
        - 201-500
        - 501-1000
        - 1001-5000
        - 5001-10000
        - 10001+
      title: NumberOfEmployeesRange
      description: >-
        The `NumberOfEmployeesRange` class is an enumeration that represents
        predefined ranges

        for the number of employees in a company. These ranges are used for
        filtering and

        categorizing companies based on their workforce size.
    RevenueRange:
      type: string
      enum:
        - 0-500K
        - 500K-1M
        - 1M-5M
        - 5M-10M
        - 10M-25M
        - 25M-75M
        - 75M-200M
        - 200M-500M
        - 500M-1B
        - 1B-10B
        - 10B-100B
        - 100B-1T
        - 1T-10T
        - 10T+
      title: RevenueRange
      description: >-
        The `RevenueRange` class is an enumeration that represents predefined
        ranges for the revenue of a company.
    CompanyAgeRange:
      type: string
      enum:
        - 0-3
        - 3-6
        - 6-10
        - 10-20
        - 20+
      title: CompanyAgeRange
      description: >-
        The `CompanyAgeRange` class is an enumeration that inherits from
        `BaseFilterEnum`.


        It represents predefined ranges for the age of a company, such as "0-3
        years" or "20+ years".

        This enum is used to categorize companies based on their age, ensuring
        consistent filtering

        and comparison across the application. Each range is defined as a string
        value for easy

        conversion and usage.
    NumberOfLocations:
      type: string
      enum:
        - 0-1
        - 2-5
        - 6-20
        - 21-50
        - 51-100
        - 101-1000
        - 1001+
      title: NumberOfLocations
      description: >-
        The `NumberOfLocations` class is an enumeration that represents
        predefined ranges
  securitySchemes:
    APIKeyHeader:
      type: apiKey
      in: header
      name: api_key

````