# screenCompanies

**Identifier:** `crustdata_screenCompanies`

**Provider:** [Crustdata](https://kirha.com/providers/crustdata.md)

Screen companies worldwide by a natural-language description and by filters: country, industry, size, headcount growth, funding stage, amount and date, investor, founding year, revenue. Use it to build a target list, e.g., French AI companies that raised a series A since 2025 and grew over 30% in a year.

## Run it with the CLI

```bash
kirha tools run crustdata_screenCompanies \
  --input '{}'
```

`--input` takes a JSON object that matches the input schema. Pass `--input -` to read it from stdin.

## Call it over HTTP

```bash
curl https://api.kirha.com/tools/v1/execute \
  --request POST \
  --header 'Content-Type: application/json' \
  --header 'Authorization: **********' \
  --data '{
  "tool_name": "crustdata_screenCompanies",
  "input": {}
}'
```

Replace the stars with an API key from https://app.kirha.com/api-keys.

## Input schema

```json
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {
    "country": {
      "description": "Country name or ISO-3 code, e.g., France or FRA",
      "minLength": 2,
      "type": "string"
    },
    "cursor": {
      "description": "nextCursor of the previous page",
      "minLength": 8,
      "type": "string"
    },
    "details": {
      "description": "Extra data per company, billed per result; none by default",
      "items": {
        "enum": [
          "headcount",
          "funding",
          "industry"
        ],
        "type": "string"
      },
      "type": "array"
    },
    "foundedFrom": {
      "maximum": 9007199254740991,
      "minimum": 1800,
      "type": "integer"
    },
    "fundedSince": {
      "description": "Last funding round on or after this date",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "type": "string"
    },
    "industry": {
      "description": "LinkedIn industry label, e.g., Software Development",
      "minLength": 2,
      "type": "string"
    },
    "investor": {
      "description": "Investor name, e.g., Sequoia Capital",
      "minLength": 2,
      "type": "string"
    },
    "lastRoundTypes": {
      "items": {
        "enum": [
          "pre_seed",
          "seed",
          "series_a",
          "series_b",
          "series_c",
          "series_d",
          "series_e",
          "private_equity",
          "debt_financing",
          "grant",
          "post_ipo_equity"
        ],
        "type": "string"
      },
      "minItems": 1,
      "type": "array"
    },
    "limit": {
      "default": 10,
      "maximum": 25,
      "minimum": 1,
      "type": "integer"
    },
    "minHeadcountGrowthPercent": {
      "description": "Employee growth over 12 months, e.g., 30",
      "type": "number"
    },
    "minRevenueUsd": {
      "minimum": 0,
      "type": "number"
    },
    "minTotalFundingUsd": {
      "minimum": 0,
      "type": "number"
    },
    "query": {
      "description": "What the companies do, in plain words, e.g., observability tools for developers",
      "minLength": 3,
      "type": "string"
    },
    "sizes": {
      "description": "Employee count brackets",
      "items": {
        "enum": [
          "myself only",
          "2-10",
          "11-50",
          "51-200",
          "201-500",
          "501-1000",
          "1001-5000",
          "5001-10000",
          "10001+"
        ],
        "type": "string"
      },
      "minItems": 1,
      "type": "array"
    },
    "sortBy": {
      "description": "Not usable with query",
      "enum": [
        "headcount",
        "funding",
        "lastFundraise",
        "founded"
      ],
      "type": "string"
    }
  },
  "type": "object"
}
```

## Output schema

```json
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false,
  "properties": {
    "companies": {
      "items": {
        "additionalProperties": false,
        "properties": {
          "companyId": {
            "type": "number"
          },
          "companyType": {
            "type": "string"
          },
          "country": {
            "type": "string"
          },
          "description": {
            "type": "string"
          },
          "domain": {
            "type": "string"
          },
          "employeeRange": {
            "type": "string"
          },
          "employees": {
            "type": "number"
          },
          "headcountGrowth12mPercent": {
            "type": "number"
          },
          "headquarters": {
            "type": "string"
          },
          "industry": {
            "type": "string"
          },
          "lastRoundAmountUsd": {
            "type": "number"
          },
          "lastRoundDate": {
            "type": "string"
          },
          "lastRoundType": {
            "type": "string"
          },
          "linkedinUrl": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "revenueLowerUsd": {
            "type": "number"
          },
          "revenueUpperUsd": {
            "type": "number"
          },
          "totalFundingUsd": {
            "type": "number"
          },
          "yearFounded": {
            "type": "number"
          }
        },
        "type": "object"
      },
      "type": "array"
    },
    "context": {
      "type": "string"
    },
    "nextCursor": {
      "type": "string"
    },
    "total": {
      "type": "number"
    }
  },
  "required": [
    "context",
    "total",
    "companies"
  ],
  "type": "object"
}
```

-----

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