ea3090e553
Rewrites the billing **Credits** doc so it actually explains what a credit is worth and how far it goes — the previous version listed bare credit counts and described AI cost only as "variable based on usage." What changed: - Leads with **1 credit = $1 of usage**, so the balance is easy to reason about. - Adds a "How far does a credit go?" table grounded in how billing actually works: standard workflow steps cost ~$0.0001 each, quick AI messages a fraction of a cent, while large multi-step agent tasks (e.g. configuring several objects) can run to ~$1 or more. - Explains that AI usage is metered at the model providers' published token rates and converted straight to credits — no marked-up internal rate. - Reframes allocation (5/mo, 50/yr) in terms of equivalent dollar usage, and tightens the rollover, monitoring, and top-up sections. Docs-only change; no code or behavior affected. <!-- This is an auto-generated description by cubic. --> <a href="https://cubic.dev/pr/twentyhq/twenty/pull/22099?utm_source=github" target="_blank" rel="noopener noreferrer" data-no-image-dialog="true"><picture><source media="(prefers-color-scheme: dark)" srcset="https://www.cubic.dev/buttons/review-in-cubic-dark.svg"><source media="(prefers-color-scheme: light)" srcset="https://www.cubic.dev/buttons/review-in-cubic-light.svg"><img alt="Review in cubic" src="https://www.cubic.dev/buttons/review-in-cubic-dark.svg"></picture></a> <!-- End of auto-generated description by cubic. -->
71 lines
4.1 KiB
Plaintext
71 lines
4.1 KiB
Plaintext
---
|
|
title: Credits
|
|
description: One simple balance that powers your workflows, AI agents, and AI chat — what a credit is worth, how far it goes, and how to manage it.
|
|
---
|
|
|
|
## What are credits?
|
|
|
|
Credits are a single balance that powers everything we run on your behalf that has a real cost: **workflow automations**, **AI agents**, and the **AI chat**. Instead of juggling separate quotas for "automation runs" and "AI tokens," you have one simple balance to keep an eye on.
|
|
|
|
**1 credit = $1 of usage.** A credit is just a dollar of work, so your balance is easy to reason about — no abstract units to convert.
|
|
|
|
## How far does a credit go?
|
|
|
|
Cost scales with the work. Everyday automation and quick AI messages cost a tiny fraction of a credit; large, multi-step AI agent tasks cost more. Here's the rough shape:
|
|
|
|
| What you do | Roughly costs | What that means |
|
|
|-------------|---------------|-----------------|
|
|
| Run a standard workflow step (search, create, update records) | ~$0.0001 | About **10,000 steps per credit** |
|
|
| Call an external API or run a code node | A small fraction of a credit | Thousands per credit |
|
|
| Send a quick AI chat message or simple AI step | A fraction of a cent | Hundreds per credit |
|
|
| Run a large AI agent task (e.g. "configure 10 workspace objects") | Can run to **~$1 or more** | A few per credit |
|
|
| Run an AI web search | A fixed per-search cost | Hundreds of searches per credit |
|
|
|
|
<Note>
|
|
For most teams, standard automations are effectively free — you'll only make a noticeable dent in your balance when you lean on AI features or run heavy code nodes. That's by design: the included credits are meant to let you build without watching a meter.
|
|
</Note>
|
|
|
|
## How AI usage is metered
|
|
|
|
When an action calls an AI model, we measure the exact tokens used and price them at **the model provider's published rates**, then convert that dollar amount straight into credits — so what you spend tracks the real cost of the work, not a marked-up internal rate. A short chat message costs a fraction of a cent. A large agent task — say, configuring ten workspace objects — makes many model calls over a growing context, so it can add up to a dollar or more. You're billed for what you actually use, down to the token.
|
|
|
|
Cost varies by model: a lightweight model is dramatically cheaper per message than a top-tier reasoning model. You can see the per-action breakdown — including which model was used — in **Settings → Billing**.
|
|
|
|
## What's included
|
|
|
|
Every subscription includes credits, and the amount depends on your **billing cycle**, not your plan:
|
|
|
|
| Billing Cycle | Included Credits | Equivalent usage |
|
|
|---------------|------------------|------------------|
|
|
| Monthly | 5 / month | ~$5 of usage each month |
|
|
| Yearly | 50 / year | ~$50 of usage each year |
|
|
|
|
These credits are designed to cover everyday automation comfortably. Five credits covers tens of thousands of standard automation steps or hundreds of quick AI messages — though a handful of large, multi-step agent tasks can use it up faster. You can top up at any time (see below).
|
|
|
|
## Credit rollover
|
|
|
|
Unused credits roll over automatically to the next billing period.
|
|
|
|
- **Cap**: Rollover is capped at one period's full allocation, so you'll never carry over more than your plan provides per period.
|
|
- **Visibility**: When you have rollover credits, they appear as a separate **Rollover Credits** line in **Settings → Billing**, alongside your **Total Available** balance.
|
|
|
|
## Monitoring Usage
|
|
|
|
Keep track of your balance and where it's going:
|
|
|
|
1. Go to **Settings → Billing**
|
|
2. See your **remaining credits** and **usage for the current period**
|
|
3. Drill into the breakdown to see which workflows and AI actions are consuming credits — and which models AI actions used
|
|
|
|
Reviewing this regularly makes it easy to spot a heavy workflow early and decide whether to optimize it or top up.
|
|
|
|
## Need more credits?
|
|
|
|
If you run out — or want a buffer before a big automation push — you can buy additional credit packs at any time:
|
|
|
|
1. Go to **Settings → Billing**
|
|
2. Choose to **purchase additional credits**
|
|
3. Select the amount you need
|
|
|
|
Purchased credits are added to your available balance immediately.
|