How to configure budget and enrichment options for the Data Maintenance Agent
⚙️ How to Configure Budget for the Data Maintenance Agent
The Data Maintenance Agent is your go-to for keeping records fresh and up-to-date — but you’re always in control of how much it does and how much it spends. You can fine-tune both budget and enrichment behavior in the Configuration tab.
🔧 Accessing the Configuration Panel
To manage settings for the Data Maintenance Agent:
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Click the AI Agent icon from the top-right corner of any page
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Open the Data Maintenance Agent
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Navigate to the “Configuration” tab
👤 Manage AI Team Member Details
At the top, you’ll see the AI user assigned to this agent.
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View the name and email of the AI team member
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You can edit these details at any time to change the AI identity used for actions (especially useful for maintaining a human-like tone during outreach or verifications)
💰 Set the Agent’s Budget
Directly under the AI team member settings, you’ll be able to:
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Set the budget limit for the agent (in credits) by clicking on Change
You can set the Maximum monthly spending and select the Budget Distribution between Candidates, Contacts and Companies
🧠 Choose What to Enrich
Customize what data the agent should fetch or update — per record type:
📍 Candidates
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Contact Info, Current Position, Employment History, Education, Skills, Social Profiles, Location
- To choose the information that you'd like to enrich, click on Edit Settings and toggle accordingly
👥 Leads
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Contact Info and Social Profiles
To choose the information that you'd like to enrich, click on Edit Settings and toggle accordingly
📇 Contacts
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Contact Info, Current Position, Skills and Social Profiles
To choose the information that you'd like to enrich, click on Edit Settings and toggle accordingly
🏢 Companies
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Basic Information, Contact Details and Business Details
To choose the information that you'd like to enrich, click on Edit Settings and toggle accordingly
You can select exactly which attributes to enrich for each category, giving you full control over both data focus and credit usage.