Running Employbl as a service, Intent Data

Employbl Agency Implementation, AI-Powered Research Retainers

Learn how to deliver research and recruitment services faster by embedding Employbl's company, job, and funding data directly into Claude, ChatGPT, and Cursor. This course teaches agencies how to set up MCP integration for clients, build repeatable research workflows, and bill for data-driven prospect lists and talent matching without manual scraping.

Open the decision record for Employbl

What does running Employbl for clients commit you to?

Published figures for this service. Blank fields are not published.

Monthly tool cost
Free entry tier; paid tiers not disclosed, expect usage-based costs after first 100 calls.
Time to first value
Not published (setup complexity rated 'medium', but no explicit duration).
Payback
Not modeled (client price, labor, usage, overhead, and volume not all supplied).
Guided implementation
16 hours

Is Employbl worth running as a client service?

Employbl offers a robust MCP API for data-driven agencies, but its viability depends on your ability to integrate and package it as a managed service. The freemium model allows low-cost experimentation, yet the absence of published pricing and white-labeling requires careful cost modeling.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • Employbl API key
  • MCP-compatible client such as ChatGPT, Claude, Cursor, or VS Code extension
  • HTTP client (e.g., Postman, curl) for API testing
  • Python or Node.js environment for scripted data pulls (Optional)

People and inputs

  • Employbl platform documentation and API reference
  • A test company list or job search criteria for validation
  • Access to a spreadsheet or BI tool for presenting findings to clients

Lessons in this course

7 lessons on running Employbl for clients.

  1. 01Employbl as a Data Layer: Why Recruiting Agencies Should Resell Research, Not Job BoardsStrategy
  2. 02Employbl Data Layer StrategyConcept
  3. 03Employbl Rule: Adopt Only When You Can Resell Its Data Layer, Not as a Standalone ProductEvaluation Rule
  4. 04Employbl: Buy vs Skip (Recruiting & Research Agencies)Decision Framework
  5. 05The Employbl Token Budget Trap: Why Agencies Fail With Employbl in Client Research RetainersFailure Pattern
  6. 06Employbl AI Research Retainer Setup (5-7 days)Implementation Blueprint
  7. 07Employbl Client Research Workflow Setup (Onboarding)Operating Procedure

Included with the course

6 working documents for delivering this service.

  • Employbl MCP Setup Checklist for Client Onboardingchecklist
  • Research Retainer Scope Template with Employbl Queriestemplate
  • Company Prospect List Delivery SOPsop
  • Job Search Filter Worksheet for Recruiting Campaignsworksheet
  • Funding Round Tracking Report Guideguide
  • Competitive Analysis Prompt Library for AI Assistantstemplate

Listed by name. These documents are not yet published as individual downloads.