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, verify contacts, and more.

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.

Setup

Add the Enrich Layer MCP server to your OpenClaw MCP configuration:

json

{
  "mcpServers": {
    "enrich-layer": {
      "command": "npx",
      "args": ["-y", "@verticalint-michael/enrich-layer-mcp"],
      "env": {
        "ENRICH_LAYER_API_KEY": "${ENRICH_LAYER_API_KEY}"
      }
    }
  }
}

Get your API key at enrichlayer.com/dashboard.

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Available Tools (25)

Company (7 tools)

• 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.
• 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.
• enrich_company_id_lookup — Look up a company by its internal numeric ID to get its professional network URL. Cost: 0 credits.
• enrich_company_picture — Get the profile picture URL of a company. Cost: 0 credits.
• 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.
• enrich_employee_count — Get the number of employees at a company. Supports historical counts via at_date. Cost: 1 credit.
• enrich_employee_search — Search employees by keyword at a specific company. Uses boolean search syntax for job titles. Cost: 10 credits per request.

Person (4 tools)

• 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).
• 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.
• enrich_person_picture — Get the profile picture URL of a person. Cost: 0 credits.
• enrich_role_lookup — Find who holds a specific role at a company. Provide company_name and role (e.g., "ceo"). Cost: 3 credits.

Contact (6 tools)

• enrich_reverse_email — Find a person's professional network profile by their email address. Cost: 3 credits.
• enrich_reverse_phone — Find a person's professional network profile by their phone number (E.164 format). Cost: 3 credits.
• enrich_work_email — Get the work email address of a person from their profile URL. Cost: 3 credits.
• enrich_personal_contact — Get personal phone numbers of a person from their profile URL. Cost: 1 credit per contact number.
• enrich_personal_email — Get personal email addresses of a person from their profile URL. Cost: 1 credit per email.
• enrich_disposable_email — Check if an email address is from a disposable email provider. Cost: 0 credits.

School (2 tools)

• enrich_school_profile — Get structured school data from its professional network URL. Cost: 1 credit.
• enrich_student_list — List students of a school. Supports filtering by major (boolean search), country, and student status. Cost: 3 credits per student returned.

Job (3 tools)

• enrich_job_profile — Get structured data of a job posting from its professional network URL. Cost: 2 credits.
• enrich_job_search — Search job postings. Filter by company, job type, experience level, location, flexibility, and keyword. Cost: 2 credits.
• enrich_job_count — Count job postings matching your criteria. Same filters as job search. Cost: 2 credits.

Search (2 tools)

• 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.
• 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.

Meta (1 tool)

• enrich_credit_balance — Check your current Enrich Layer credit balance. Cost: 0 credits.

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Usage Guidelines

When the user asks to enrich, look up, or find information about companies or people, follow these rules:

1. Check credits first for large operations

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.

2. Choose the cheapest tool that answers the question

• If you already have a professional network URL, use a _profile tool (1 credit) instead of a _lookup tool (2 credits).
• Use enrich_company_id_lookup (0 credits) when you have a numeric company ID.
• Use enrich_company_picture or enrich_person_picture (0 credits) when only the avatar is needed.
• Use enrich_disposable_email (0 credits) to validate emails before spending credits on enrichment.

3. Chain tools efficiently

Many tasks require chaining two or more tools. Follow these common patterns:

• Find a person's work email by role: enrich_role_lookup (get profile URL) then enrich_work_email (get email). Total: 6 credits.
• Find a person's work email by name: enrich_person_lookup (get profile URL) then enrich_work_email (get email). Total: 5 credits.
• 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.
• Find decision-makers at a company: enrich_company_lookup (get URL) then enrich_employee_list with boolean_role_search set to the target roles.
• Verify a contact: enrich_disposable_email (free check) then enrich_reverse_email (find the profile).

4. Use the enrich_profile / enrich_profiles shortcut

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.

5. Use boolean search syntax correctly

Employee search, company search, and person search support boolean operators in many fields:

• OR / || — match either term: "founder OR co-founder"
• AND — match both terms: "engineer AND manager"
• NOT — exclude: "director NOT assistant"
• Quotes for exact phrases: "'Vice President'"
• Max 255 characters for boolean expressions.

6. Control cache behavior

All profile tools accept use_cache:

• "if-present" — use cached data regardless of age (fastest, cheapest).
• "if-recent" — only use cache if the profile is less than 29 days old.

Default to "if-present" unless the user explicitly needs fresh data.

7. Handle pagination for list endpoints

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.

8. Country codes

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.

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Example Workflows

Enrich a list of leads

User: "I have a list of company names. Enrich them all."

1. Call enrich_credit_balance to check available credits.
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).
3. Present results in a table with name, industry, size, location, and URL.

Find decision-makers at a company

User: "Find the CTO and VP Engineering at Stripe."

1. Call enrich_role_lookup with company_name: "Stripe", role: "cto" (3 credits).
2. Call enrich_role_lookup with company_name: "Stripe", role: "vp engineering" (3 credits).
3. For each result, call enrich_work_email to get their email (3 credits each).
4. Total: 12 credits for two contacts with emails.

Verify and enrich a contact from an email

User: "What can you tell me about [e-mail]?"

1. Call enrich_disposable_email with the email (0 credits) to verify it is not throwaway.
2. Call enrich_reverse_email with email: "[e-mail]" (3 credits) to get their profile URL.
3. Call enrich_person_profile with the returned URL (1 credit) to get full details.
4. Total: 4 credits.

Search for companies in a market segment

User: "Find SaaS startups in the US with 50-200 employees founded after 2018."

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).
2. Present results in a structured format.

Find alumni from a school

User: "List recent computer science graduates from MIT."

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).
2. Present results with names, majors, and profile URLs.