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

# Deepline Native Free Simple Company Search: Inputs, Cost &

> Searching the shared free company corpus with a constrained where_sql expression over the companies schema. Includes inputs, outputs, and CLI examples.

## Run in Enrichment Spreadsheet

<Info>
  Use this function as a column step in `deepline enrich`.
</Info>

```bash theme={null}
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=deepline_native_free_simple_company_search:{"sql":"{{sql}}"}' --json
```

<Tip>
  Map payload values to spreadsheet columns with `{{column_name}}` placeholders.
</Tip>

## Input Schema

| Name          | Type     | Required | Default | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
| ------------- | -------- | -------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `payload.sql` | `string` | Yes      |         | Single read-only SQL statement against the Snowflake-backed companies table (\~35M rows). Columns: normalized\_domain, domain, company\_name, industry, location, linkedin\_url, employee\_count (integer), year\_founded (integer), updated\_at. Prefer exact normalized\_domain equality or IN lookups when you have domains. Use linkedin\_url and company\_name equality/IN for small lookup batches. For fallback candidates, prefer anchored prefixes like company\_name ILIKE 'acme%'. Broad unanchored ILIKE '%keyword%' scans are legal but can scan the full corpus; use dedicated company search providers for broad keyword discovery or strict market sizing. Supports SELECT, aggregates, GROUP BY, CTEs, EXPLAIN. SQL must include LIMIT \<= 100000. Example: SELECT \* FROM companies WHERE normalized\_domain IN ('openai.com','anthropic.com') LIMIT 10 |

<details>
  <summary>Show raw input schema</summary>

  ### Input JSON Schema

  ```json theme={null}
  {
    "type": "object",
    "description": "Run a single read-only SQL statement against the shared Snowflake-backed free company corpus (~35M companies).\n\nSchema (table: companies):\n  normalized_domain  text     — lowercase root domain (e.g. 'openai.com')\n  domain             text     — original domain as-is\n  company_name       text     — company name (NOT NULL)\n  industry           text     — e.g. 'computer software', 'financial services', 'hospital & health care'\n  location           text     — comma-separated: locality, region, country (e.g. 'san francisco, california, united states')\n  linkedin_url       text     — LinkedIn company URL slug\n  employee_count     integer  — upper bound of size bucket (10, 50, 200, 500, 1000, 5000, 10000+)\n  year_founded       integer  — e.g. 2015\n  updated_at         timestamp\n\nGuidance:\n  Prefer exact company resolution with normalized_domain when you have a website/domain.\n  Exact normalized_domain equality/IN lookups are the fastest path for known domains.\n  Use linkedin_url and company_name equality/IN for small lookup batches; very large batches may still hit the query timeout.\n  If an exact lookup misses, use anchored prefix searches such as company_name ILIKE 'acme%' to generate fallback candidates.\n  Plain ILIKE '%keyword%' over broad fields is legal SQL on the Snowflake-backed corpus, but it can still scan the 35M-row table.\n  Use dedicated company search providers when you need provider-native facets, live web coverage, or strict market sizing totals.\n  Verify the returned company before assuming it is the same entity.\n\nExample queries:\n  SELECT * FROM companies WHERE normalized_domain = 'openai.com' LIMIT 5\n  SELECT * FROM companies WHERE normalized_domain IN ('openai.com','anthropic.com') LIMIT 10\n  SELECT * FROM companies WHERE linkedin_url IN ('linkedin.com/company/openai') LIMIT 5\n  SELECT * FROM companies WHERE company_name ILIKE 'nestle%' LIMIT 10\n  SELECT * FROM companies WHERE industry = 'computer software' AND employee_count > 50 LIMIT 100\n  SELECT industry, count(*) as cnt FROM companies GROUP BY industry ORDER BY cnt DESC LIMIT 25\n  SELECT * FROM companies WHERE location ILIKE 'san francisco%' AND year_founded >= 2020 LIMIT 100\n\nSupports SELECT, aggregates, GROUP BY, WITH CTEs, and EXPLAIN. SQL must include LIMIT <= 100000.\nBest for company retrieval, shortlist building, exact segment counts, and domain-to-company recovery when exact lookups miss.",
    "properties": {
      "sql": {
        "type": "string",
        "description": "Single read-only SQL statement against the Snowflake-backed companies table (~35M rows). Columns: normalized_domain, domain, company_name, industry, location, linkedin_url, employee_count (integer), year_founded (integer), updated_at. Prefer exact normalized_domain equality or IN lookups when you have domains. Use linkedin_url and company_name equality/IN for small lookup batches. For fallback candidates, prefer anchored prefixes like company_name ILIKE 'acme%'. Broad unanchored ILIKE '%keyword%' scans are legal but can scan the full corpus; use dedicated company search providers for broad keyword discovery or strict market sizing. Supports SELECT, aggregates, GROUP BY, CTEs, EXPLAIN. SQL must include LIMIT <= 100000. Example: SELECT * FROM companies WHERE normalized_domain IN ('openai.com','anthropic.com') LIMIT 10",
        "minLength": 1
      }
    },
    "required": [
      "sql"
    ],
    "additionalProperties": false
  }
  ```
</details>

## Output Schema

| Name          | Type     | Required | Default | Description                                    |
| ------------- | -------- | -------- | ------- | ---------------------------------------------- |
| `result.data` | `object` | Yes      |         |                                                |
| `result.meta` | `record` | No       |         | Additional response metadata (status, paging). |

<details>
  <summary>Show raw output schema</summary>

  ### Output JSON Schema

  ```json theme={null}
  {
    "type": "object",
    "description": "Free shared company search result payload.",
    "properties": {
      "data": {
        "type": "object",
        "properties": {
          "schema": {
            "type": "string"
          },
          "command": {
            "type": "string"
          },
          "row_count": {
            "type": [
              "integer",
              "null"
            ]
          },
          "row_count_returned": {
            "type": "integer"
          },
          "truncated": {
            "type": "boolean"
          },
          "columns": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "name": {
                  "type": "string"
                },
                "table_id": {
                  "type": [
                    "integer",
                    "null"
                  ]
                },
                "data_type_id": {
                  "type": [
                    "integer",
                    "null"
                  ]
                }
              },
              "required": [
                "name",
                "table_id",
                "data_type_id"
              ],
              "additionalProperties": false
            }
          },
          "sql": {
            "type": "string"
          },
          "executed_sql": {
            "type": "string"
          },
          "limit": {
            "type": "integer"
          },
          "rows": {
            "type": "array",
            "items": {
              "type": "object",
              "additionalProperties": {}
            }
          }
        },
        "required": [
          "schema",
          "command",
          "row_count",
          "row_count_returned",
          "truncated",
          "columns",
          "sql",
          "executed_sql",
          "limit",
          "rows"
        ],
        "additionalProperties": false
      },
      "meta": {
        "type": "object",
        "description": "Additional response metadata (status, paging).",
        "additionalProperties": {}
      }
    },
    "required": [
      "data"
    ],
    "additionalProperties": false
  }
  ```
</details>

## Advanced: Direct CLI

<Info>
  Use direct execution for single payload debugging.
</Info>

```bash theme={null}
deepline tools execute deepline_native_free_simple_company_search --payload '{
  "sql": "string"
}' --json
```

### CLI flags

| Flag                        | Description                                         |
| --------------------------- | --------------------------------------------------- |
| `--json`                    | Print machine-readable output.                      |
| `--wait`                    | Wait for terminal provider status when supported.   |
| `--debug`                   | Enable wait mode with additional status/log output. |
| `--wait-timeout SECONDS`    | Max seconds to wait in wait mode.                   |
| `--poll-interval SECONDS`   | Polling interval in seconds during wait mode.       |
| `--timeout SECONDS`         | Request timeout in seconds.                         |
| `--connect-timeout SECONDS` | Connection timeout in seconds.                      |

## Cost

* Pricing model: `fixed` (per call).
* Estimated Deepline credits: `0` per pricing unit.
* Provider-native pricing may still exist outside Deepline credit billing.
* Billing mode: `no_bill`.