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Credits are the currency used on Gumloop to power your automations. Every workflow run and agent interaction consumes credits based on the resources used.

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Understanding Credits

What Credits Enable

Credits let you run workflows and interact with AI agents on Gumloop. More credits = more automations.

How You Get Credits

Your subscription includes monthly credits. Purchase additional credits in bundles or enable credit overage for uninterrupted automation.

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What Consumes Credits

Gumloop has two main types of automation, each with different credit models:

Workflows

Predictable costsRun the same workflow → Pay the same credits every timeYou can calculate approximate costs before running.

Agents

Variable costsCost depends on conversation length, AI model used, and tools calledCosts vary per interaction.

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Workflow Credits (Predictable)

Workflows have deterministic costs - you can calculate the exact credit cost before running.

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How Workflow Credits Work

Total Cost = 1 credit (base) + Node costs
Every workflow costs:
  1. 1 credit to execute (base cost)
  2. + Node costs based on what each node does

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Node Credit Costs

  • Free Nodes (0 credits)
  • AI Nodes
  • Data & Web Nodes
  • Custom/Code Nodes
Most native Gumloop nodes cost nothing:
  • Text manipulation (Combine Text, Text Formatter, Find & Replace)
  • Logic (If/Else, Switch, Router)
  • Loops (For Each, Loop Mode)
  • Data transformation (Filter, Join, Split)
  • Most integrations (Google Sheets, Slack, Gmail, Airtable, Salesforce, etc.)
  • Input/Output nodes
Build workflows primarily with free nodes to minimize costs.

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Example Workflow Costs

Workflow: Read Google Sheet → Filter rows → Send Slack message
StepCost
Flow execution1 credit
Read Google Sheet0 credits
Filter rows0 credits
Send Slack message0 credits
Total1 credit
Workflow: Read emails → Categorize with AI → Update Airtable
StepCost
Flow execution1 credit
Read Gmail0 credits
Ask AI (Standard)2 credits
Update Airtable0 credits
Total3 credits
Workflow: Combine text → AI analysis → Custom processing
StepCost
Flow execution1 credit
Combine Text0 credits
GPT-4.1 AI node20 credits
Custom node3 credits
Total24 credits
Workflow: Get contacts → Enrich → Update CRM
StepCost
Flow execution1 credit
Read Airtable0 credits
Enrich Contact (×2 contacts)120 credits
Update Salesforce0 credits
Total121 credits
Enrichment nodes can get expensive with loops. A workflow that enriches 100 contacts costs 6,001 credits (1 + 60×100).
Pro tip: Hover over any node’s ’?’ icon to see its credit cost.

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Important Workflow Notes

If a workflow fails or stops halfway through, you’re only charged for nodes that executed before the failure.Example: If step 3 of 5 fails, you only pay for the base cost + steps 1 and 2.
When nodes run in loop mode, they execute multiple times. Multiply the node cost by the number of items in your list.Example: Enrich Contact node (60 credits) processing 10 contacts = 600 credits

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Agent Credits (Variable)

Agents have variable costs - each conversation costs different amounts based on usage and configuration.

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How Agent Credits Work

Every time an agent interacts, it consumes credits based on:
  1. AI model selected (biggest factor)
  2. Message length (longer messages = more credits)
  3. Conversation history (longer threads gradually cost more)
  4. Tools available (more tools = slightly higher base cost)
  5. Workflows called (workflow costs apply separately)

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Agent Cost by Model

  • Budget Models
  • Advanced Models
  • Expert Models
~2-4 credits per messageBest for: High-volume simple tasks, quick responsesModels:
  • GPT-4.1 Mini
  • GPT-5 Mini
  • Claude Haiku 4.5
Example usage:
  • Simple lookups
  • Quick Q&A
  • High-frequency interactions

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Agent Cost Examples

Scenario: Quick question to agent with Claude Haiku
User: "What's in ticket #12345?"
Agent: [Checks Zendesk, responds]
Cost: ~4 credits (single AI interaction)
Scenario: Agent with Claude Sonnet 4.5 runs a workflow
User: "Research this company and draft outreach"
Agent: [Thinks, runs enrichment workflow, drafts email]
Cost breakdown:
  • Agent reads & decides to run workflow: ~20 credits
  • Workflow execution (with AI node): 3 credits
  • Agent processes results & responds: ~10 credits
  • Total: ~33 credits
Scenario: 5-message back-and-forth with Claude Sonnet 4.5
Message 1: ~15 credits
Message 2: ~17 credits (includes message 1 in context)
Message 3: ~18 credits (includes messages 1-2)
Message 4: ~19 credits (includes messages 1-3)
Message 5: ~20 credits (includes messages 1-4)
Total: ~89 credits
Conversation costs increase slightly as context grows. Start new conversations for unrelated topics.

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When Agents Call Workflows

When an agent runs a workflow, you pay both costs: 
Total = Agent credits + Workflow credits
Example:
  • Agent thinking/responding: 25 credits
  • Workflow it called: 61 credits (1 base + 60 enrichment)
  • Total: 86 credits
Agents running expensive workflows can consume significant credits. Monitor usage and optimize workflows to use free nodes when possible.

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Reducing Credit Costs

For Workflows

  • Use free native nodes when possible
  • Provide your own API keys (reduces AI costs to 1 credit)
  • Batch operations to reduce workflow runs
  • Avoid unnecessary enrichment lookups

For Agents

  • Choose appropriate models (don’t use Expert for simple tasks)
  • Start new conversations for different topics
  • Limit tools to only what’s needed
  • Write clear, specific prompts
  • Optimize workflows that agents call
Provide your own API keys for AI services to reduce costs from 20 credits to 1 credit per call.Requirements:
  • Solo plan or higher
  • Your own OpenAI, Anthropic, or Google AI account
Setup: Add your API key in Credentials Settings

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Tracking Credit Usage

1

Dashboard Overview

View monthly credits, usage, and remaining balance:Account Settings → General
2

Workflow History

See credit costs for each workflow run with per-node breakdown:History Page
3

Agent Conversations

View credit costs for each agent interaction in conversation history

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Getting More Credits

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Monthly Allocation

Credits refresh monthly based on your subscription tier. See pricing page for tier details.

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Credit Overage

Enable overage to continue automations after monthly credits run out.
  • Cost: $0.005 per overage credit
  • Limit: 2x your monthly allocation (prevents runaway costs)
  • Setup: Enable in account settings
Example: 10,000 monthly credits → 20,000 max overage credits

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Need More Credits?

  • Temporary spike: Upgrade temporarily, then downgrade
  • Consistent high usage: Contact support@gumloop.com for higher limits
  • Bundles: Purchase credit bundles at discounted rates
Credits don’t roll over month-to-month (except Enterprise plans)

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Why Credits?

Different automations have vastly different costs:
ActionOur CostCredit Charge
Text manipulation~$0.0000010 credits
Standard AI call~$0.0052 credits
Advanced AI call~$0.0520 credits
Contact enrichment~$0.1560 credits
Custom node environment~$0.00753 credits
The costs above are arbitrary, this is just an example
A flat “per-execution” model would either:
  • Overcharge users with lightweight workflows
  • Undercharge users with expensive operations
  • Force us to price for worst-case scenarios
Credits let us charge fairly based on actual resource usage.

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Learn More

Agent Credit Details

Deep dive into agent credit costs and optimization

Workflow Best Practices

Build efficient, cost-effective workflows

Pricing Plans

Compare subscription tiers and credit bundles

Credits Blog Post

Why we transitioned to credits
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