---
name: undominated-carbon-intensity-scheduling-audit
description: "Audits grid carbon intensity temporal variations to schedule batch inference during green energy peaks. Recomputed fields must match the other inputs. A pass is not a compliance, safety, or price verdict."
license: MIT
metadata:
  author: Undominated.ai
  version: "1.1.0"
---

# Carbon intensity scheduling audit

## Description
Audits grid carbon intensity temporal variations to schedule batch inference during green energy peaks.

## Category
`pricing`

## Tags
`pricing`, `carbon`, `green-energy`, `scheduling`, `sustainability`

## When to Use
Audit deferred batch inference jobs to verify carbon emission reduction percentages against baseline.

## Operational Limitations
Calculates carbon savings from historical grid carbon intensity metrics; does not control job schedulers.

## Verification Script
Run the deterministic verification checker:
```bash
python3 scripts/check.py examples/synthetic.json
```
Exit codes:
- `0`: Check passed and thresholds satisfied.
- `1`: Threshold breach or operational violation detected.
- `2`: Schema error or invalid usage.

## What the checker recomputes

The original threshold checks still apply:

- `carbon_savings_percent` must not be < `min_savings_percent`.

Every other declared field is type-checked. A negative value is rejected except for deltas, drifts, and gains. A type check does not, by itself, prove the measurement.

`population` and `observedAt` are required. The bundled examples are synthetic fixtures, not market measurements.

```bash
python3 scripts/check.py examples/synthetic.json
python3 scripts/check.py examples/contradiction.json
python3 scripts/check.py examples/broken.json
```

Exit 0 is a pass, exit 1 is a review, and exit 2 is invalid input. A pass does not certify a provider, a regulation, a release, or a price.