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impactapi

v2.0.0

Published

Zero-dependency TypeScript SDK for estimating the energy, carbon, water, and cost impact of AI inference calls.

Downloads

166

Vulnerabilities

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Links

Git

Maintainers

gabycoxgabycox

Keywords

impactimpactapisustainabilitycarbonemissionstrackingcarbon-trackingsustainability-apienvironmentalfootprintesgclimateenergywateranalyticsaiai-sustainabilityai-carbonai-inferencesdktypescript

Readme

ImpactAPI — AI Sustainability Estimation SDK

🟢 Available for Pre-Order — Secure early access and prepaid API credits →

What is ImpactAPI?

ImpactAPI is an open-source, zero-dependency JavaScript/TypeScript SDK that estimates the approximate environmental footprint of AI API calls. It helps developers and organisations understand the sustainability impact of their AI usage by tracking three key metrics per request:

  • Energy consumption (Wh) — estimated electricity used during model inference
  • Carbon emissions (gCO₂) — based on regional electricity grid carbon intensity
  • Water consumption (ml) — based on data centre cooling efficiency

All estimates use publicly sourced environmental data from the EPA [1], EEA [2], IEA [3], and Google Environmental Reports [4]. ImpactAPI runs entirely locally — no external API calls, no telemetry, no tracking.

Why does AI sustainability matter?

The International Energy Agency (IEA) projects that data centre electricity consumption could more than double by 2026 [3]. As AI adoption accelerates, understanding and reducing the environmental cost of AI inference is becoming a critical responsibility for developers, enterprises, and policymakers.

ImpactAPI provides the awareness layer — helping teams quantify and compare the environmental cost of their AI workloads across models, regions, and providers.

Current Status

ImpactAPI is currently available for pre-order. Early access includes prepaid API credits for future usage, allowing you to integrate, test, and build before public release.

Documentation

| Document | Description | |----------|-------------| | Getting Started | Installation and quick start guide | | Supported Models | AI models and public pricing | | Cloud Regions | 15+ regions with environmental data | | Methodology | How calculations work | | FAQ | Frequently asked questions | | Pricing | Pre-order tiers and what's included | | AI Sustainability Guide | Educational guide to AI environmental impact | | Sources | Full bibliography |

Key Features

  • Zero dependencies — lightweight, no bloat
  • Offline-first — all data bundled, no network requests
  • Region-aware — 15+ cloud regions with local grid data
  • Multi-model — supports 8 models across 4 providers
  • Privacy-first — no telemetry, no tracking, no data collection

License

MIT

© 2026 ImpactAPI. Built for transparency.