Free
Free
MIT-licensed source; no subscription, account or telemetry documented.
- Access
- MIT-licensed source; no subscription, account or telemetry documented.
drip AI Water Usage
● Identity checkedAI usage observability · Official sources reviewed 2026-10-07
drip is a local Python tool that reads Claude Code and Codex CLI token logs and estimates associated water use from published coefficients. It shows low, midpoint and high estimates in a status line, live terminal meter or breakdown, with references to the assumptions behind each number.
- Category
- AI usage observability
- Free access
- MIT-licensed source; no subscription, account or telemetry documented.
- API access
- Unknown; no separately documented public product API was verified.
Is drip AI Water Usage right for you?
A good fit for
Developers seeking an inspectable environmental estimate for their own coding-agent usage logs.
Before you choose
These are model-based estimates, not measured water consumption for a particular request. Provider, location and infrastructure uncertainty affect results. Python 3.11+ is required and logging support depends on the agent.
How to use drip AI Water Usage
Read the repository methodology, install the local tool and confirm it finds the correct agent logs. Compare token totals with your agent history and inspect the cited coefficient range. Use the breakdown as an approximate reporting aid and state the assumptions when sharing a figure.
Costs and practical limits
The project is MIT licensed, runs locally with Python standard-library dependencies and advertises no subscription. It uses existing agent logs rather than sending requests itself. Keep low/high ranges with any report and do not present the midpoint as metered environmental impact.
What it can do
Features & capabilities
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| Local logs | Reads real token counts from local coding-agent logs. | Facts sourced | 2026-10-07 |
| Estimate range | Shows low, midpoint and high estimates with research sources. | Facts sourced | 2026-10-07 |
Understand the total cost
drip AI Water Usage pricing & plans
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Frequently asked questions
Does drip measure my model provider’s actual water use?
No. It applies published coefficients to local token counts and reports estimates with uncertainty, not per-request meter readings.
What is drip AI Water Usage used for?
drip is a local Python tool that reads Claude Code and Codex CLI token logs and estimates associated water use from published coefficients. It shows low, midpoint and high estimates in a status line, live terminal meter or breakdown, with references to the assumptions behind each number.
Does drip AI Water Usage have a free plan?
MIT-licensed source; no subscription, account or telemetry documented.. This record lists ongoing free access; check the plan limits before starting.
How much does drip AI Water Usage cost?
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Can I use drip AI Water Usage through an API?
Unknown; no separately documented public product API was verified.. API access and subscription access may have different terms; consult the linked sources.
What should I check before choosing it?
These are model-based estimates, not measured water consumption for a particular request. Provider, location and infrastructure uncertainty affect results. Python 3.11+ is required and logging support depends on the agent.
Price history
No retained pricing changes yet. A current price alone does not establish a historical trend.
How this profile is supported
Official product documentation
Official page retrieved and editorially reviewed; no hands-on vendor application test.
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.