/install enrich-layer
\r \r
Enrich Layer\r
\r This skill connects to the Enrich Layer API via MCP, giving you 25 tools for enriching company, person, contact, school, and job data from professional networks.\r \r
Setup\r
\r Add the Enrich Layer MCP server to your OpenClaw MCP configuration:\r \r
{\r
"mcpServers": {\r
"enrich-layer": {\r
"command": "npx",\r
"args": ["-y", "@verticalint-michael/enrich-layer-mcp"],\r
"env": {\r
"ENRICH_LAYER_API_KEY": "${ENRICH_LAYER_API_KEY}"\r
}\r
}\r
}\r
}\r
```\r
\r
Get your API key at [enrichlayer.com/dashboard](https://enrichlayer.com/dashboard).\r
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---\r
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## Available Tools (25)\r
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### Company (7 tools)\r
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- **enrich_company_profile** — Get structured company data from a professional network URL. Returns name, industry, size, description, specialties, funding, and more. Cost: 1 credit. Optional add-ons (1 credit each): `categories`, `funding_data`, `exit_data`, `acquisitions`, `extra`.\r
- **enrich_company_lookup** — Look up a company by name or domain to find its professional network URL. Provide at least one of `company_name` or `company_domain`. Optionally pass `company_location` as an ISO 3166-1 alpha-2 country code to disambiguate. Cost: 2 credits.\r
- **enrich_company_id_lookup** — Look up a company by its internal numeric ID to get its professional network URL. Cost: 0 credits.\r
- **enrich_company_picture** — Get the profile picture URL of a company. Cost: 0 credits.\r
- **enrich_employee_list** — List employees of a company. Supports filtering by role (boolean search), country, employment status, and sorting. Cost: 3 credits per employee returned.\r
- **enrich_employee_count** — Get the number of employees at a company. Supports historical counts via `at_date`. Cost: 1 credit.\r
- **enrich_employee_search** — Search employees by keyword at a specific company. Uses boolean search syntax for job titles. Cost: 10 credits per request.\r
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### Person (4 tools)\r
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- **enrich_person_profile** — Get structured person data from a profile URL (professional network, Twitter/X, or Facebook). Returns experience, education, skills, and more. Cost: 1 credit. Optional add-ons: `extra` (1 credit), `personal_contact_number` (1 credit/number), `personal_email` (1 credit/email), `skills` (free).\r
- **enrich_person_lookup** — Look up a person by first name and company domain to find their professional network profile. Provide `first_name` and `company_domain`; optionally add `last_name`, `title`, `location` for precision. Cost: 2 credits.\r
- **enrich_person_picture** — Get the profile picture URL of a person. Cost: 0 credits.\r
- **enrich_role_lookup** — Find who holds a specific role at a company. Provide `company_name` and `role` (e.g., "ceo"). Cost: 3 credits.\r
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### Contact (6 tools)\r
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- **enrich_reverse_email** — Find a person's professional network profile by their email address. Cost: 3 credits.\r
- **enrich_reverse_phone** — Find a person's professional network profile by their phone number (E.164 format). Cost: 3 credits.\r
- **enrich_work_email** — Get the work email address of a person from their profile URL. Cost: 3 credits.\r
- **enrich_personal_contact** — Get personal phone numbers of a person from their profile URL. Cost: 1 credit per contact number.\r
- **enrich_personal_email** — Get personal email addresses of a person from their profile URL. Cost: 1 credit per email.\r
- **enrich_disposable_email** — Check if an email address is from a disposable email provider. Cost: 0 credits.\r
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### School (2 tools)\r
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- **enrich_school_profile** — Get structured school data from its professional network URL. Cost: 1 credit.\r
- **enrich_student_list** — List students of a school. Supports filtering by major (boolean search), country, and student status. Cost: 3 credits per student returned.\r
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### Job (3 tools)\r
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- **enrich_job_profile** — Get structured data of a job posting from its professional network URL. Cost: 2 credits.\r
- **enrich_job_search** — Search job postings. Filter by company, job type, experience level, location, flexibility, and keyword. Cost: 2 credits.\r
- **enrich_job_count** — Count job postings matching your criteria. Same filters as job search. Cost: 2 credits.\r
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### Search (2 tools)\r
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- **enrich_company_search** — Search companies by location, industry, size, funding, founding year, and more. Uses boolean search syntax for many fields. Cost: 3 credits per URL returned.\r
- **enrich_person_search** — Search people by name, location, education, role, company, skills, and more. Requires `country` (ISO 3166). Uses boolean search syntax. Cost: 3 credits per URL returned.\r
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### Meta (1 tool)\r
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- **enrich_credit_balance** — Check your current Enrich Layer credit balance. Cost: 0 credits.\r
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---\r
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## Usage Guidelines\r
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When the user asks to enrich, look up, or find information about companies or people, follow these rules:\r
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### 1. Check credits first for large operations\r
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Before running bulk enrichment (employee lists, person searches, company searches), call `enrich_credit_balance` to check the user's remaining credits. Warn them about the estimated cost before proceeding with expensive operations.\r
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### 2. Choose the cheapest tool that answers the question\r
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- If you already have a professional network URL, use a `_profile` tool (1 credit) instead of a `_lookup` tool (2 credits).\r
- Use `enrich_company_id_lookup` (0 credits) when you have a numeric company ID.\r
- Use `enrich_company_picture` or `enrich_person_picture` (0 credits) when only the avatar is needed.\r
- Use `enrich_disposable_email` (0 credits) to validate emails before spending credits on enrichment.\r
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### 3. Chain tools efficiently\r
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Many tasks require chaining two or more tools. Follow these common patterns:\r
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- **Find a person's work email by role**: `enrich_role_lookup` (get profile URL) then `enrich_work_email` (get email). Total: 6 credits.\r
- **Find a person's work email by name**: `enrich_person_lookup` (get profile URL) then `enrich_work_email` (get email). Total: 5 credits.\r
- **Enrich a company from just a name**: `enrich_company_lookup` (get URL) then `enrich_company_profile` (get full data). Total: 3 credits. Or pass `enrich_profile: "enrich"` to get both in one call for 3 credits.\r
- **Find decision-makers at a company**: `enrich_company_lookup` (get URL) then `enrich_employee_list` with `boolean_role_search` set to the target roles.\r
- **Verify a contact**: `enrich_disposable_email` (free check) then `enrich_reverse_email` (find the profile).\r
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### 4. Use the `enrich_profile` / `enrich_profiles` shortcut\r
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Several lookup and list tools accept an `enrich_profile` or `enrich_profiles` parameter set to `"enrich"`. This returns full profile data inline, saving a separate profile call. Use it when you need full details and not just the URL.\r
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### 5. Use boolean search syntax correctly\r
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Employee search, company search, and person search support boolean operators in many fields:\r
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- `OR` / `||` — match either term: `"founder OR co-founder"`\r
- `AND` — match both terms: `"engineer AND manager"`\r
- `NOT` — exclude: `"director NOT assistant"`\r
- Quotes for exact phrases: `"'Vice President'"`\r
- Max 255 characters for boolean expressions.\r
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### 6. Control cache behavior\r
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All profile tools accept `use_cache`:\r
- `"if-present"` — use cached data regardless of age (fastest, cheapest).\r
- `"if-recent"` — only use cache if the profile is less than 29 days old.\r
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Default to `"if-present"` unless the user explicitly needs fresh data.\r
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### 7. Handle pagination for list endpoints\r
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`enrich_employee_list`, `enrich_student_list`, and search tools accept `page_size`. When enriching profiles inline (`enrich_profiles: "enrich"`), the max page size drops to 10. Plan accordingly for large lists.\r
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### 8. Country codes\r
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Several tools accept country/location filters. Always use ISO 3166-1 alpha-2 codes (e.g., `us`, `gb`, `de`, `sg`). For person search, the `country` parameter is required.\r
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---\r
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## Example Workflows\r
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### Enrich a list of leads\r
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User: "I have a list of company names. Enrich them all."\r
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1. Call `enrich_credit_balance` to check available credits.\r
2. For each company name, call `enrich_company_lookup` with `enrich_profile: "enrich"` to get the URL and full profile in one call (3 credits each).\r
3. Present results in a table with name, industry, size, location, and URL.\r
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### Find decision-makers at a company\r
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User: "Find the CTO and VP Engineering at Stripe."\r
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1. Call `enrich_role_lookup` with `company_name: "Stripe", role: "cto"` (3 credits).\r
2. Call `enrich_role_lookup` with `company_name: "Stripe", role: "vp engineering"` (3 credits).\r
3. For each result, call `enrich_work_email` to get their email (3 credits each).\r
4. Total: 12 credits for two contacts with emails.\r
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### Verify and enrich a contact from an email\r
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User: "What can you tell me about [email protected]?"\r
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1. Call `enrich_disposable_email` with the email (0 credits) to verify it is not throwaway.\r
2. Call `enrich_reverse_email` with `email: "[email protected]"` (3 credits) to get their profile URL.\r
3. Call `enrich_person_profile` with the returned URL (1 credit) to get full details.\r
4. Total: 4 credits.\r
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### Search for companies in a market segment\r
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User: "Find SaaS startups in the US with 50-200 employees founded after 2018."\r
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1. Call `enrich_company_search` with `country: "US"`, `industry: "software"`, `employee_count_min: "50"`, `employee_count_max: "200"`, `founded_after_year: "2018"`, `type: "PRIVATELY_HELD"` (3 credits per result).\r
2. Present results in a structured format.\r
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### Find alumni from a school\r
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User: "List recent computer science graduates from MIT."\r
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1. Call `enrich_student_list` with the MIT professional network URL, `boolean_search_keyword: "computer science"`, `student_status: "past"`, `sort_by: "recently-graduated"` (3 credits per student).\r
2. Present results with names, majors, and profile URLs.\r
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install enrich-layer - After installation, invoke the skill by name or use
/enrich-layer - Provide required inputs per the skill's parameter spec and get structured output
What is Enrich Layer?
Enrich company, person, and contact data with 25 tools via the Enrich Layer API. Look up companies, find decision-makers, get work emails, search employees,... It is an AI Agent Skill for Claude Code / OpenClaw, with 266 downloads so far.
How do I install Enrich Layer?
Run "/install enrich-layer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Enrich Layer free?
Yes, Enrich Layer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Enrich Layer support?
Enrich Layer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Enrich Layer?
It is built and maintained by Michael (@nicest-michael); the current version is v0.2.0.