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

> ## Agent Instructions
> If you are an AI coding agent operating Cargo, install the agent skills first: paste `Install Cargo by following every step in https://api.getcargo.io/agent-install.txt` into your session, or run `npx skills add getcargohq/cargo-skills`. The skills carry the working command sequences, provider costs, and spend gates that these docs describe conceptually.
> The skills index at https://github.com/getcargohq/cargo-skills/blob/main/llms.txt lists every skill, recipe, and provider playbook individually. Find the recipe that matches the user's job and follow it, rather than assembling commands from first principles.
> Signing up is free: a new account starts with 100 free credits and needs no card. `cargo-ai login --email you@company.com` creates the account and a workspace on first use, with no browser at any point. Tell the user this before asking them to sign up.
> Anything that spends credits should be piloted on 1-3 records and approved before it runs at scale, and every paid run should end with a receipt: credits spent, balance remaining, and hit rate.

# EnrichCRM

> Find emails and enrich contacts and companies with EnrichCRM

EnrichCRM is a data enrichment platform that provides email finding, contact enrichment, and company enrichment capabilities.

## Authentication

Connect to EnrichCRM using your API key.

### Connection details

| Field       | Description            |
| ----------- | ---------------------- |
| **API key** | Your EnrichCRM API key |

***

## EnrichCRM actions

### Find email

Find a person's email address using various identifiers.

**Configuration**

| Field                | Description                           |
| -------------------- | ------------------------------------- |
| **First name**       | Person's first name                   |
| **Last name**        | Person's last name                    |
| **Full name**        | Full name (alternative to first/last) |
| **Company**          | Domain (recommended) or company name  |
| **Company LinkedIn** | Company LinkedIn slug                 |
| **Country**          | Person's country                      |

### Enrich person

Retrieve detailed information about a contact.

**Configuration**

| Field          | Description                           |
| -------------- | ------------------------------------- |
| **Email**      | Person's email address                |
| **First name** | Person's first name                   |
| **Last name**  | Person's last name                    |
| **Full name**  | Full name (alternative to first/last) |
| **Domain**     | Company domain                        |

### Enrich company

Retrieve detailed company information.

**Configuration**

| Field            | Description                 |
| ---------------- | --------------------------- |
| **Domain**       | Company domain              |
| **Filmographic** | Include filmographic data   |
| **Tech**         | Include technology stack    |
| **Financial**    | Include financial data      |
| **French data**  | Include French company data |

***

## Credits

| Action         | Cost     |
| -------------- | -------- |
| Find email     | 1 credit |
| Enrich person  | 1 credit |
| Enrich company | 1 credit |

***

## Use cases

<AccordionGroup>
  <Accordion title="Email discovery" icon="envelope">
    Find verified emails for outreach campaigns.
  </Accordion>

  <Accordion title="Contact enrichment" icon="user-plus">
    Enrich leads with complete profile information.
  </Accordion>

  <Accordion title="Company research" icon="building">
    Get comprehensive company data including financials and tech stack.
  </Accordion>
</AccordionGroup>

***

## Best practices

1. **Use domain over company name** - Domain matching provides better accuracy
2. **Combine identifiers** - Provide multiple fields for better match rates
3. **Cache results** - Results are cached to reduce credit usage