Count Hunter email addresses across filtered companies

Give one or more company names or website links. The assistant prepares the company selection and explains each returned company’s email counts separately from the source’s aggregate figures.

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Use Toolmu to count Hunter-known email addresses across my selected companies. Prepare at least one documented company filter from the names I give or verified website hostnames; clarify ambiguous companies with readable names or website links. For extra headquarters or company-size preferences, use only documented choices and confirm any mismatch with my requested range. Prepare the company page and continuation internally. Reuse my Toolmu connection or follow https://toolmu.com/get-started; check cost and honor my budget and authorization. Keep each returned company’s counts and the source aggregates separate, including unexplained differences. Do not present email counts as unique people, verified delivery, market revenue or complete company coverage, or offer person-role filters absent from this company-count lookup.

Task:
Check Hunter-known email counts for [company names or website links]. Show each returned company’s total, personal-work and general-purpose inbox counts separately from the source aggregates, and point out any differences.

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Count Hunter email addresses across filtered companies

Give one or more company names or website links. The assistant prepares the company selection and explains each returned company’s email counts separately from the source’s aggregate figures.

You receive

Get a page of matching company names and domains with their total, personal and generic email counts. Read the source’s matching-company count and aggregate email counts separately to assess Hunter’s address coverage for the chosen filters.

Start with your task

Check Hunter-known email counts for [company names or website links]. Show each returned company’s total, personal-work and general-purpose inbox counts separately from the source aggregates, and point out any differences.

What to know

These are source-known address counts, without actual addresses, deduplicated person identities or delivery verification. They do not establish total market revenue or complete company coverage. Page rows and source aggregates can differ; keep both values without inventing a reconciliation.

Inputs & outputs

Inspect the current inputs, availability, and maximum charge before starting.

Input schema

Input schema
Field / Path	Type	Requirement	Meaning
Company filter request`body`	`object`	Optional	Provide at least one supported company filter. Pagination controls alone do not define the company group.
Companies per page`body.limit`	`integer`	Optional	Optional integer from 1 to 100; the documented default and maximum are 100. It limits company rows, not email addresses. Minimum `1` Maximum `100`
Companies to skip`body.offset`	`integer`	Optional	Optional integer from 0 to 10000 indicating companies to skip. Keep filters consistent across requested pages. Minimum `0` Maximum `10000`
funding`body.funding`	`object`	Optional
date`body.funding.date`	`object`	Optional
to`body.funding.date.to`	`string`	Optional	YYYY-MM-DD
from`body.funding.date.from`	`string`	Optional	YYYY-MM-DD
amount`body.funding.amount`	`object`	Optional
to`body.funding.amount.to`	`number`	Optional
from`body.funding.amount.from`	`number`	Optional
series`body.funding.series`	`array`	Optional
[]`body.funding.series[]`	`string`	—	Options `pre_seed, seed, pre_series_a, series_a, pre_series_b, series_b, pre_series_c, series_c+, other`
Industry filters`body.industry`	`object`	Optional	Include/exclude industry arrays. Use source-supported industry values from the current contract.
exclude`body.industry.exclude`	`array`	Optional
[]`body.industry.exclude[]`	`string`	—	Minimum length `1`
include`body.industry.include`	`array`	Optional
[]`body.industry.include[]`	`string`	—	Minimum length `1`
Company keywords`body.keywords`	`object`	Optional	Include/exclude keyword arrays with match any or all; the documented default is all.
match`body.keywords.match`	`string`	Optional	Match on any or all of the listed values. Default 'all'. Options `any, all`
exclude`body.keywords.exclude`	`array`	Optional
[]`body.keywords.exclude[]`	`string`	—	Minimum length `1`
include`body.keywords.include`	`array`	Optional
[]`body.keywords.include[]`	`string`	—	Minimum length `1`
Company size ranges`body.headcount`	`array`	Optional	Array of documented company-size ranges, such as 1-10 or 11-50. This is a filter, not a returned email or person count.
[]`body.headcount[]`	`string`	—	Options `1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+`
similar_to`body.similar_to`	`object`	Optional	Find companies similar to one domain or name (domain wins).
name`body.similar_to.name`	`string`	Optional	Minimum length `1`
domain`body.similar_to.domain`	`string`	Optional	Minimum length `1`
technology`body.technology`	`object`	Optional	Technologies in use. Valid values: https://hunter.io/files/technologies.json
match`body.technology.match`	`string`	Optional	Match on any or all of the listed values. Default 'all'. Options `any, all`
exclude`body.technology.exclude`	`array`	Optional
[]`body.technology.exclude[]`	`string`	—	Minimum length `1`
include`body.technology.include`	`array`	Optional
[]`body.technology.include[]`	`string`	—	Minimum length `1`
company_type`body.company_type`	`object`	Optional
exclude`body.company_type.exclude`	`array`	Optional
[]`body.company_type.exclude[]`	`string`	—	Options `educational, educational institution, government agency, non profit, partnership, privately held, public company, self employed, self owned, sole proprietorship`
include`body.company_type.include`	`array`	Optional
[]`body.company_type.include[]`	`string`	—	Options `educational, educational institution, government agency, non profit, partnership, privately held, public company, self employed, self owned, sole proprietorship`
Specific companies`body.organization`	`object`	Optional	Domain and/or company-name arrays select specific companies; for example, domain [hunter.io].
name`body.organization.name`	`array`	Optional
[]`body.organization.name[]`	`string`	—	Minimum length `1`
domain`body.organization.domain`	`array`	Optional
[]`body.organization.domain[]`	`string`	—	Minimum length `1`
year_founded`body.year_founded`	`object`	Optional	Founding years: a from/to range, or explicit years to include/exclude (not both).
to`body.year_founded.to`	`integer`	Optional	Minimum `-9007199254740991` Maximum `9007199254740991`
from`body.year_founded.from`	`integer`	Optional	Minimum `-9007199254740991` Maximum `9007199254740991`
exclude`body.year_founded.exclude`	`array`	Optional
[]`body.year_founded.exclude[]`	`integer`	—	Minimum `-9007199254740991` Maximum `9007199254740991`
include`body.year_founded.include`	`array`	Optional
[]`body.year_founded.include[]`	`integer`	—	Minimum `-9007199254740991` Maximum `9007199254740991`
Headquarters locations`body.headquarters_location`	`object`	Optional	Include/exclude location arrays. Country uses a two-letter code; a US state code requires country US.
exclude`body.headquarters_location.exclude`	`array`	Optional
[]`body.headquarters_location.exclude[]`	`object`	—	A location: continent, business_region, or country (+ state/city).
city`body.headquarters_location.exclude[].city`	`string`	—
state`body.headquarters_location.exclude[].state`	`string`	—	US state code — only valid when country is 'US'.
country`body.headquarters_location.exclude[].country`	`string`	—	ISO 3166-1 alpha-2 country code, e.g. 'US'. Minimum length `2` Maximum length `2`
continent`body.headquarters_location.exclude[].continent`	`string`	—	Options `Africa, Antarctica, Asia, Europe, North America, Oceania, South America`
business_region`body.headquarters_location.exclude[].business_region`	`string`	—	Options `AMER, EMEA, APAC, LATAM`
include`body.headquarters_location.include`	`array`	Optional
[]`body.headquarters_location.include[]`	`object`	—	A location: continent, business_region, or country (+ state/city).
city`body.headquarters_location.include[].city`	`string`	—
state`body.headquarters_location.include[].state`	`string`	—	US state code — only valid when country is 'US'.
country`body.headquarters_location.include[].country`	`string`	—	ISO 3166-1 alpha-2 country code, e.g. 'US'. Minimum length `2` Maximum length `2`
continent`body.headquarters_location.include[].continent`	`string`	—	Options `Africa, Antarctica, Asia, Europe, North America, Oceania, South America`
business_region`body.headquarters_location.include[].business_region`	`string`	—	Options `AMER, EMEA, APAC, LATAM`

View raw JSON

{
  "type": "object",
  "required": [],
  "properties": {
    "body": {
      "type": "object",
      "$schema": "https://json-schema.org/draft/2020-12/schema",
      "~standard": {
        "vendor": "zod",
        "version": 1,
        "jsonSchema": {}
      },
      "properties": {
        "limit": {
          "type": "integer",
          "maximum": 100,
          "minimum": 1,
          "description": "Companies per page. Default and max 100."
        },
        "offset": {
          "type": "integer",
          "maximum": 10000,
          "minimum": 0,
          "description": "Companies to skip. Max 10,000."
        },
        "funding": {
          "type": "object",
          "properties": {
            "date": {
              "type": "object",
              "properties": {
                "to": {
                  "type": "string",
                  "description": "YYYY-MM-DD"
                },
                "from": {
                  "type": "string",
                  "description": "YYYY-MM-DD"
                }
              }
            },
            "amount": {
              "type": "object",
              "properties": {
                "to": {
                  "type": "number"
                },
                "from": {
                  "type": "number"
                }
              }
            },
            "series": {
              "type": "array",
              "items": {
                "enum": [
                  "pre_seed",
                  "seed",
                  "pre_series_a",
                  "series_a",
                  "pre_series_b",
                  "series_b",
                  "pre_series_c",
                  "series_c+",
                  "other"
                ],
                "type": "string"
              }
            }
          }
        },
        "industry": {
          "type": "object",
          "properties": {
            "exclude": {
              "type": "array",
              "items": {
                "type": "string",
                "minLength": 1
              }
            },
            "include": {
              "type": "array",
              "items": {
                "type": "string",
                "minLength": 1
              }
            }
          },
          "description": "Industries to include/exclude. Valid values: https://hunter.io/files/industries.json"
        },
        "keywords": {
          "type": "object",
          "properties": {
            "match": {
              "enum": [
                "any",
                "all"
              ],
              "type": "string",
              "description": "Match on any or all of the listed values. Default 'all'."
            },
            "exclude": {
              "type": "array",
              "items": {
                "type": "string",
                "minLength": 1
              }
            },
            "include": {
              "type": "array",
              "items": {
                "type": "string",
                "minLength": 1
              }
            }
          }
        },
        "headcount": {
          "type": "array",
          "items": {
            "enum": [
              "1-10",
              "11-50",
              "51-200",
              "201-500",
              "501-1000",
              "1001-5000",
              "5001-10000",
              "10001+"
            ],
            "type": "string"
          },
          "description": "Company size ranges to include."
        },
        "similar_to": {
          "type": "object",
          "properties": {
            "name": {
              "type": "string",
              "minLength": 1
            },
            "domain": {
              "type": "string",
              "minLength": 1
            }
          },
          "description": "Find companies similar to one domain or name (domain wins)."
        },
        "technology": {
          "type": "object",
          "properties": {
            "match": {
              "enum": [
                "any",
                "all"
              ],
              "type": "string",
              "description": "Match on any or all of the listed values. Default 'all'."
            },
            "exclude": {
              "type": "array",
              "items": {
                "type": "string",
                "minLength": 1
              }
            },
            "include": {
              "type": "array",
              "items": {
                "type": "string",
                "minLength": 1
              }
            }
          },
          "description": "Technologies in use. Valid values: https://hunter.io/files/technologies.json"
        },
        "company_type": {
          "type": "object",
          "properties": {
            "exclude": {
              "type": "array",
              "items": {
                "enum": [
                  "educational",
                  "educational institution",
                  "government agency",
                  "non profit",
                  "partnership",
                  "privately held",
                  "public company",
                  "self employed",
                  "self owned",
                  "sole proprietorship"
                ],
                "type": "string"
              }
            },
            "include": {
              "type": "array",
              "items": {
                "enum": [
                  "educational",
                  "educational institution",
                  "government agency",
                  "non profit",
                  "partnership",
                  "privately held",
                  "public company",
                  "self employed",
                  "self owned",
                  "sole proprietorship"
                ],
                "type": "string"
              }
            }
          }
        },
        "organization": {
          "type": "object",
          "properties": {
            "name": {
              "type": "array",
              "items": {
                "type": "string",
                "minLength": 1
              }
            },
            "domain": {
              "type": "array",
              "items": {
                "type": "string",
                "minLength": 1
              }
            }
          },
          "description": "Select specific companies by domain or name."
        },
        "year_founded": {
          "type": "object",
          "properties": {
            "to": {
              "type": "integer",
              "maximum": 9007199254740991,
              "minimum": -9007199254740991
            },
            "from": {
              "type": "integer",
              "maximum": 9007199254740991,
              "minimum": -9007199254740991
            },
            "exclude": {
              "type": "array",
              "items": {
                "type": "integer",
                "maximum": 9007199254740991,
                "minimum": -9007199254740991
              }
            },
            "include": {
              "type": "array",
              "items": {
                "type": "integer",
                "maximum": 9007199254740991,
                "minimum": -9007199254740991
              }
            }
          },
          "description": "Founding years: a from/to range, or explicit years to include/exclude (not both)."
        },
        "headquarters_location": {
          "type": "object",
          "properties": {
            "exclude": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "city": {
                    "type": "string"
                  },
                  "state": {
                    "type": "string",
                    "description": "US state code — only valid when country is 'US'."
                  },
                  "country": {
                    "type": "string",
                    "maxLength": 2,
                    "minLength": 2,
                    "description": "ISO 3166-1 alpha-2 country code, e.g. 'US'."
                  },
                  "continent": {
                    "enum": [
                      "Africa",
                      "Antarctica",
                      "Asia",
                      "Europe",
                      "North America",
                      "Oceania",
                      "South America"
                    ],
                    "type": "string"
                  },
                  "business_region": {
                    "enum": [
                      "AMER",
                      "EMEA",
                      "APAC",
                      "LATAM"
                    ],
                    "type": "string"
                  }
                },
                "description": "A location: continent, business_region, or country (+ state/city)."
              }
            },
            "include": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "city": {
                    "type": "string"
                  },
                  "state": {
                    "type": "string",
                    "description": "US state code — only valid when country is 'US'."
                  },
                  "country": {
                    "type": "string",
                    "maxLength": 2,
                    "minLength": 2,
                    "description": "ISO 3166-1 alpha-2 country code, e.g. 'US'."
                  },
                  "continent": {
                    "enum": [
                      "Africa",
                      "Antarctica",
                      "Asia",
                      "Europe",
                      "North America",
                      "Oceania",
                      "South America"
                    ],
                    "type": "string"
                  },
                  "business_region": {
                    "enum": [
                      "AMER",
                      "EMEA",
                      "APAC",
                      "LATAM"
                    ],
                    "type": "string"
                  }
                },
                "description": "A location: continent, business_region, or country (+ state/city)."
              }
            }
          },
          "description": "Headquarters locations to include and/or exclude."
        }
      },
      "description": "Provide at least one filter — the same filter set as the company discovery endpoint."
    }
  },
  "additionalProperties": false
}

Result schema

No fixed output contract is available. Field types reflect saved result evidence; individual responses can differ.

Result schema
Field / Path	Type	Meaning
Company page`result.data`	`array`	Returned company rows for the requested page, with identity fields and email-count objects.
Company name`result.data[].organization`	`string`	Company name reported by Hunter for this row.
Company domain`result.data[].domain`	`string`	Domain associated with this returned company’s email counts.
Company email counts`result.data[].emails_count`	`object`	Source total, personal and generic address counts for this company. Personal and generic are address categories, not unique-person identities.
Reported matching companies`result.meta.results`	`number`	Matching-company count reported by the source for the filters, rather than the length of the current page.
Aggregate email counts`result.meta.total_emails`	`object`	Source total, personal and generic aggregates documented across all matching companies. Preserve them separately from page counts; equality is not inferred.

Additional notes

Use this as a count check before deciding which companies need a separate address lookup. Define the company group with explicit filters; for example, select domains with organization.domain, or narrow headquarters, industry and company-size criteria. The headcount filter describes company size rather than the number of email addresses or people returned.

Keep the filters fixed when comparing pages or runs, and record limit and offset with the result. Limit controls companies per page; offset skips companies, rather than email addresses. An aggregate email total describes the source’s matching set, so adding it to the displayed per-company email counts would combine overlapping scopes.

Inspect this Tool’s current input contract

Questions about this tool.

Inputs, results and details to know before running it.

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The source describes the aggregate as email counts across all matching companies, while the displayed list is one company page. Keep those scopes separate. If values differ even when only one company is reported, retain both and the query conditions; the returned information alone does not explain the reason.

Count Hunter email addresses across filtered companies

Count Hunter email addresses across filtered companies

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Name the companies to compare

Add ordinary company preferences if needed

Read each company and the aggregate separately

Questions about this tool.

You receive

Start with your task

What to know

Inputs & outputs

Input schema

Result schema

Name the companies to compare

Add ordinary company preferences if needed

Read each company and the aggregate separately

Questions about this tool.

Must the displayed companies’ email counts equal the source aggregate email count?