Intelligence for
the operating record.

Connect generation data, inspection reports, and maintenance revisions. Understand the difference. Keep the source in view.

Operational context, connected

The answer is only
as useful as its evidence.

Operating exports tell one part of the story. Reports and revisions tell another. Bring them together for a review you can follow.

Compare reported and metered generation, period by period. Trace each difference to the exported source.

Review the latest inspection date and scope alongside earlier revisions, with the original language close at hand.

Prepared workflows using synthetic data. Product evaluations are pending.

Inside a workflow

Inspect a prepared example, including the source values and calculation. A discrepancy is a starting point for review, not a diagnosis.

Where does metered generation differ from the reported figures?

Authored expected result

Reconcile reported generation, synthetic example values
Month	Reported MWh	Metered MWh	Difference
January	12,500	12,350	150
February	11,800	11,800	0
March	13,200	12,900	300

Difference = reported minus metered generation. The files establish a discrepancy, not its operational cause.

↳ Inspect source evidence

generation.csv · Synthetic source

month,reported_MWh,metered_MWh
January,12500,12350
February,11800,11800
March,13200,12900

Illustrative environment

Defined scope. Human judgment.

These examples analyze exported files. They do not connect to operational control systems, direct equipment, or authorize maintenance.

Use an evaluation to establish the supported environment, source access, and review requirements for your team.