> ## 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.
# Amplemarket Get People Find: Inputs, Cost & CLI Example
> Single person enrichment. Amplemarket Amplemarket Get People Find docs include request fields, response shape, pricing notes, and Deepline CLI examples.
## Run in Enrichment Spreadsheet
Use this function as a column step in `deepline enrich`.
```bash theme={null}
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=amplemarket_get_people_find:{}' --json
```
Map payload values to spreadsheet columns with `{{column_name}}` placeholders.
## Input Schema
| Name | Type | Required | Default | Description |
| ------------------------------ | --------- | -------- | ------- | --------------------------------------------------------------------- |
| `payload.email` | `string` | No | | Email to use for matching |
| `payload.linkedin_url` | `string` | No | | LinkedIn URL to use for matching |
| `payload.name` | `string` | No | | Person name to use for matching |
| `payload.title` | `string` | No | | Person title to use for matching (optional when using name + company) |
| `payload.company_name` | `string` | No | | Company name to use for matching |
| `payload.company_domain` | `string` | No | | Company domain to use for matching |
| `payload.reveal_email` | `boolean` | No | | Triggers email reveal for the matching person |
| `payload.reveal_phone_numbers` | `boolean` | No | | Triggers phone number reveal for the matching person |
Show raw input schema
### Input JSON Schema
```json theme={null}
{
"type": "object",
"description": "Single person enrichment",
"properties": {
"email": {
"type": "string",
"description": "Email to use for matching",
"format": "email"
},
"linkedin_url": {
"type": "string",
"description": "LinkedIn URL to use for matching"
},
"name": {
"type": "string",
"description": "Person name to use for matching"
},
"title": {
"type": "string",
"description": "Person title to use for matching (optional when using name + company)"
},
"company_name": {
"type": "string",
"description": "Company name to use for matching"
},
"company_domain": {
"type": "string",
"description": "Company domain to use for matching"
},
"reveal_email": {
"type": "boolean",
"description": "Triggers email reveal for the matching person"
},
"reveal_phone_numbers": {
"type": "boolean",
"description": "Triggers phone number reveal for the matching person"
}
},
"required": [],
"additionalProperties": false
}
```
## Output Schema
| Name | Type | Required | Default | Description |
| ------------- | -------- | -------- | ------- | ---------------------------------------------- |
| `result.data` | `object` | Yes | | Provider response payload. |
| `result.meta` | `object` | No | | Additional response metadata (status, paging). |
Show raw output schema
### Output JSON Schema
```json theme={null}
{
"type": "object",
"description": "Standard tool result payload.",
"properties": {
"data": {
"type": "object",
"description": "Provider response payload.",
"properties": {
"id": {
"type": "string",
"format": "uuid"
},
"object": {
"type": "string",
"enum": [
"person"
]
},
"linkedin_url": {
"type": "string"
},
"name": {
"type": [
"string",
"null"
]
},
"email": {
"type": [
"string",
"null"
]
},
"first_name": {
"type": [
"string",
"null"
]
},
"last_name": {
"type": [
"string",
"null"
]
},
"title": {
"type": [
"string",
"null"
]
},
"headline": {
"type": [
"string",
"null"
]
},
"about": {
"type": [
"string",
"null"
]
},
"current_position_start_date": {
"type": [
"string",
"null"
],
"format": "date"
},
"current_position_description": {
"type": [
"string",
"null"
]
},
"location": {
"type": [
"string",
"null"
]
},
"image_url": {
"type": "string",
"format": "uri"
},
"gender": {
"type": "string",
"enum": [
"male",
"female",
"likely_male",
"likely_female",
"unknown"
]
},
"location_details": {
"type": "object",
"properties": {
"country": {
"type": [
"string",
"null"
]
},
"state": {
"type": [
"string",
"null"
]
},
"city": {
"type": [
"string",
"null"
]
},
"postal_code": {
"type": [
"string",
"null"
]
},
"lat": {
"type": [
"number",
"null"
]
},
"long": {
"type": [
"number",
"null"
]
}
},
"additionalProperties": false
},
"experiences": {
"type": [
"array",
"null"
],
"items": {
"type": "object",
"properties": {
"object": {
"type": "string",
"enum": [
"experience"
]
},
"title": {
"type": "string"
},
"company_name": {
"type": "string"
},
"company_linkedin_url": {
"type": [
"string",
"null"
],
"format": "uri"
},
"description": {
"type": [
"string",
"null"
]
},
"start_date": {
"type": [
"string",
"null"
],
"format": "date"
},
"end_date": {
"type": [
"string",
"null"
],
"format": "date"
}
},
"required": [
"object",
"title",
"company_name",
"company_linkedin_url",
"description",
"start_date",
"end_date"
],
"additionalProperties": false
}
},
"educations": {
"type": [
"array",
"null"
],
"items": {
"type": "object",
"properties": {
"object": {
"type": "string",
"enum": [
"education"
]
},
"degree": {
"type": [
"string",
"null"
]
},
"field_of_study": {
"type": [
"string",
"null"
]
},
"school_name": {
"type": "string"
},
"school_linkedin_url": {
"type": [
"string",
"null"
],
"format": "uri"
},
"start_date": {
"type": [
"string",
"null"
],
"format": "date"
},
"end_date": {
"type": [
"string",
"null"
],
"format": "date"
}
},
"required": [
"object",
"degree",
"field_of_study",
"school_name",
"school_linkedin_url",
"start_date",
"end_date"
],
"additionalProperties": false
}
},
"languages": {
"type": [
"array",
"null"
],
"items": {
"type": "object",
"properties": {
"object": {
"type": "string",
"enum": [
"language"
]
},
"language": {
"type": "string"
},
"iso_code": {
"type": "string"
},
"proficiency": {
"type": [
"string",
"null"
]
}
},
"required": [
"object",
"language",
"iso_code",
"proficiency"
],
"additionalProperties": false
}
},
"phone_numbers": {
"type": [
"array",
"null"
],
"items": {
"type": "object",
"properties": {
"object": {
"type": "string",
"enum": [
"phone_number"
]
},
"id": {
"type": "string",
"format": "uuid"
},
"number": {
"type": "string"
},
"type": {
"type": "string",
"enum": [
"mobile",
"office",
"phone",
"landline",
"voip",
"direct"
]
},
"source": {
"type": "string",
"description": "Origin of the phone number. Amplemarket returns uploaded_by_user for numbers supplied through post_contacts.",
"enum": [
"amplemarket",
"crm",
"user_uploaded",
"uploaded_by_user"
]
},
"is_wrong_number": {
"type": "boolean"
},
"is_dnc_listed": {
"type": "boolean",
"description": "Present only when the account has phone number DNC list enabled"
},
"kind": {
"type": "string",
"description": "Phone number kind. Amplemarket returns this alongside the documented type field."
},
"uploaded_id": {
"type": "string",
"description": "Identifier of the uploaded phone number record, present when a caller supplied the number."
}
},
"required": [
"object",
"id",
"number",
"type",
"is_wrong_number"
],
"additionalProperties": true
}
},
"company": {
"type": "object",
"properties": {
"id": {
"type": "string",
"format": "uuid"
},
"object": {
"type": "string",
"enum": [
"company"
]
},
"linkedin_url": {
"type": "string"
},
"name": {
"type": [
"string",
"null"
]
},
"overview": {
"type": [
"string",
"null"
]
},
"website": {
"type": [
"string",
"null"
]
},
"keywords": {
"type": [
"array",
"null"
],
"items": {
"type": "string"
}
},
"followers": {
"type": [
"integer",
"null"
]
},
"linkedin_presence": {
"type": [
"string",
"null"
],
"description": "`massive` — Massive following (100,000+ followers), `large` — Large following (10,000 - 99,999 followers), `moderate` — Moderate following (1,000 - 9,999 followers), `limited` — Limited following (1 - 999 followers), `none` — No following (0 followers). All ranges are inclusive.",
"enum": [
"massive",
"large",
"moderate",
"limited",
"none"
]
},
"estimated_number_of_employees": {
"type": [
"integer",
"null"
]
},
"size": {
"type": [
"string",
"null"
],
"enum": [
"10001+ employees",
"201-500 employees",
"51-200 employees",
"11-50 employees",
"1-10 employees"
]
},
"location": {
"type": [
"string",
"null"
]
},
"location_details": {
"type": "object",
"properties": {
"country": {
"type": [
"string",
"null"
]
},
"state": {
"type": [
"string",
"null"
]
},
"city": {
"type": [
"string",
"null"
]
},
"postal_code": {
"type": [
"string",
"null"
]
},
"lat": {
"type": [
"number",
"null"
]
},
"long": {
"type": [
"number",
"null"
]
}
},
"additionalProperties": false
},
"locations": {
"type": [
"array",
"null"
],
"items": {
"type": "object",
"properties": {
"address": {
"type": "string",
"description": "Full address as a single string"
},
"is_primary": {
"type": "boolean",
"description": "Indicates if this is the primary location"
},
"country": {
"type": [
"string",
"null"
],
"description": "Country name (e.g., United States)"
},
"state": {
"type": [
"string",
"null"
],
"description": "State or subdivision name (e.g., California, New York)"
},
"city": {
"type": [
"string",
"null"
],
"description": "City name"
},
"postal_code": {
"type": [
"string",
"null"
],
"description": "Postal code"
}
},
"additionalProperties": false
}
},
"logo_url": {
"type": "string",
"format": "uri"
},
"founded_year": {
"type": [
"integer",
"null"
]
},
"traffic_rank": {
"type": [
"integer",
"null"
]
},
"sic_codes": {
"type": [
"array",
"null"
],
"items": {
"type": "integer"
}
},
"naics_codes": {
"type": [
"array",
"null"
],
"items": {
"type": "integer"
}
},
"type": {
"type": [
"string",
"null"
],
"enum": [
"Public Company",
"Educational",
"Self Employed",
"Government Agency",
"Non Profit",
"Self Owned",
"Privately Held",
"Partnership"
]
},
"total_funding": {
"type": [
"integer",
"null"
]
},
"latest_funding_stage": {
"type": [
"string",
"null"
],
"enum": [
"seed",
"angel",
"venture_round_unknown_series",
"series_a",
"series_b",
"series_c",
"series_d",
"series_e",
"series_f",
"series_g",
"series_h",
"series_i",
"series_j",
"debt",
"equity_crowdfunding",
"convertible_note",
"ico",
"private_equity",
"other"
]
},
"latest_funding_date": {
"type": [
"string",
"null"
],
"format": "date"
},
"is_b2b": {
"type": [
"boolean",
"null"
]
},
"is_b2c": {
"type": [
"boolean",
"null"
]
},
"technologies": {
"type": [
"array",
"null"
],
"items": {
"type": "string"
}
},
"department_headcount": {
"type": "object",
"additionalProperties": {
"type": "integer"
}
},
"job_function_headcount": {
"type": "object",
"additionalProperties": {
"type": "object",
"additionalProperties": {
"type": "integer"
}
}
},
"estimated_revenue": {
"type": [
"string",
"null"
],
"enum": [
"$0-$1M",
"$1M-$10M",
"$10M-$100M",
"$100M-$1B",
"$1B+"
]
},
"revenue": {
"type": [
"integer",
"null"
]
}
},
"required": [
"id",
"object",
"linkedin_url"
],
"additionalProperties": true
},
"linkedin_presence": {
"type": [
"string",
"null"
],
"description": "`influencer` — Influencer (10,000+ followers), `micro_influencer` — Micro Influencer (5,000 - 9,999 followers), `large` — Large following (500 - 4,999 followers), `moderate` — Moderate following (100 - 499 followers), `limited` — Limited following (1 - 99 followers), `none` — No following (0 followers). All ranges are inclusive.",
"enum": [
"influencer",
"micro_influencer",
"large",
"moderate",
"limited",
"none"
]
}
},
"required": [
"id",
"object",
"linkedin_url"
],
"additionalProperties": true
},
"meta": {
"type": "object",
"description": "Additional response metadata (status, paging).",
"additionalProperties": true
}
},
"required": [
"data"
],
"additionalProperties": false
}
```
## Advanced: Direct CLI
Use direct execution for single payload debugging.
```bash theme={null}
deepline tools execute amplemarket_get_people_find --payload '{}' --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`.