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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

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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Three Components of Agent Costs

Every agent interaction can incur up to three types of credit charges:

AI Model Credits

Credits charged for the AI model processing your messages and deciding what actions to take. Based on token usage.

Tool Credits

Some integrations charge credits per use or per result returned. These costs are separate from AI model costs.

Workflow Credits

When agents execute workflows, the full workflow cost is added to the interaction total.

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How AI Model Credits Work

AI model credits are calculated based on actual token usage. The cost depends on:
  • Message length: Longer inputs and outputs consume more tokens
  • Model selected: Different AI models have different per-token costs
  • Conversation history: Each message includes previous context, increasing token count
  • Tool definitions: More tools means more tokens in the system prompt
Important: A single user message can trigger multiple AI “steps” internally. When your agent uses tools, it goes through a reasoning loop: deciding which tool to call, processing the results, and generating a response. Each step incurs AI model credits separately, which is why tool-using conversations cost more than simple Q&A.

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Model Tiers

Best for simple tasks and high-volume usage
ModelBest For
GPT-4.1 MiniSimple tasks, quick responses
GPT-5 MiniGeneral queries, straightforward automation
Claude Haiku 4.5Fast interactions, basic assistance
Budget models have the lowest per-token costs, making them ideal for high-volume use cases or simple tasks that don’t require advanced reasoning.
Tip: Start with a Budget or Advanced model and only upgrade to Expert models if needed. The actual credit cost depends on your conversation length, message complexity, and tool usage—not just the model tier.

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Typical Cost Examples

These examples illustrate how costs vary based on what your agent does. Actual costs depend on message length, conversation history, and specific tool behavior.
ScenarioModel TierTypical RangeWhat’s Happening
Simple Q&A (no tools)Budget1-5 creditsSingle AI step, short response
Simple Q&A (no tools)Advanced5-15 creditsSingle AI step, short response
Lookup with 1 tool callBudget5-15 creditsMultiple AI steps (plan, execute, respond)
Lookup with 1 tool callAdvanced15-40 creditsMultiple AI steps (plan, execute, respond)
Research task (3+ tool calls)Advanced30-100 creditsMany AI steps, processing multiple results
Complex analysisExpert50-200+ creditsAdvanced reasoning, potentially many steps
Task that runs a workflowAnyVaries widelyAI credits + full workflow execution cost
These are rough estimates only. Your actual costs will vary based on message length, conversation history, tool result counts, and whether the agent needs multiple attempts. Run a few representative tasks and note the credit costs shown in the UI to calibrate your expectations for your specific use case.

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When Agents Call Workflows

When an agent runs a workflow, you pay both costs: 
Total = Agent AI credits + Workflow credits
The workflow cost is deterministic (see Workflow Credits above), but the agent’s AI credits vary based on how much reasoning is needed to decide to run the workflow and process its results.
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 [email protected] 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