Credit guard: a daily counter property that pauses AI actions once the budget is spent
Professional
Seat pricing: Professional edition. To build it, a GTM Seat or an Ops Seat (an Ops Seat cannot create marketing emails or sequences). Per-hub plans: Data Hub Professional.
OutcomeNo AI action runs once the portal has reached the number of AI runs you allow per day, and no single record can trigger more than a few runs per day. Blocked records wait and retry the next morning.
Workflow mapai-agents-014
One of 565 written HubSpot workflow specs, by a collective of independent HubSpot consultants.
When to use it, when not to
Use it
- Use it in front of every AI action in the portal: "Data Agent: Custom prompt", "Data Agent: Research", "Summarize record", "Run agent", "Use a custom LLM". The other specs in this category point here for the guard.
- Use it when several teams share one HubSpot Credits balance and one busy workflow can spend what another team planned to use.
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Skip it
- Do not use it as an accounting tool. It counts runs, not credits. (check in your portal: what each AI action costs in HubSpot Credits per execution, since the knowledge base does not list a per-action cost)
- Do not build the portal-wide part without Data Hub Professional. A workflow cannot read a value stored on another, unrelated record without a custom code action. The per-record cap alone works on any Professional tier, see Variants.
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The rest of this spec
Not the workflow you needed?
More in AI agents
25 specs in this section
FreeCategorize inbound form submissions with Data Agent: Custom prompt, then route by category
Empty output fallback: branch on a null AI result to a manual review task instead of a blank property
Summarize the record into the SDR-to-AE handoff task so the AE opens the call with context
Extract stated budget and timeline from call transcripts into deal properties with Data Agent: Research
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