ChatGPT Plugin

Crbonfree

Estimate and offset CO2

Brand: Crbon Labs

Category: Finance
Primary Subcategory: Carbon Offset & Impact Purchasing

Integration details

Description

CrbonFree helps people estimate and offset the carbon footprint of everyday purchases. Enter what you bought (with optional price, category, quantity, or weight), and the app returns an emissions estimate and a clear offset cost. Users can complete the offset through Stripe checkout, and the app keeps the payment flow and status in sync.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Finance
Primary Subcategory: Carbon Offset & Impact Purchasing
Secondary Subcategories: None listed
Brand: Crbon Labs
Access: No account required
First tracked: 2026-03-04
Tool count: 3
Market: US

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Primary Subcategory

Competing in ChatGPT Carbon Offset & Impact Purchasing

View Category

Listed in alphabetical order

Primary Subcategory

CrbonfreeComing soonGet notified

Tools

3 tools agents can invoke

Computes the carbon footprint and offset price for a checkout session. Called by the widget after mounting.
compute_offset_offer
Creates a Stripe payment link to purchase carbon offsets for a checkout session. Called by the widget when user clicks "Offset Now".
create_offset_checkout
Calculates the carbon footprint of a confirmed purchase and offers the user a way to offset it. Call this when the user says they bought, ordered, received, or are checking out with a specific product, or when they explicitly ask to offset a purchase. Trigger examples: "I just bought a jacket on Etsy", "I ordered a new laptop", "picking up groceries", "my Amazon order arrived". Do not call this for shopping research, price comparisons, hypothetical carts, flight or travel searches, browsing, recommendations, or product discovery before a purchase is confirmed. Extract product details (name, price, category, quantity) from context when available.
prepare_checkout_session

FAQs

Crbonfree ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Crbonfree's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.