Pricing analysis you can check.

IChecked figures

Every figure has a source.

Critias writes Python, runs it on your files and reads the output. Before a reply reaches you, every figure in it is matched against what a script printed. When a number cannot be calculated from the data, Critias says so and leaves it out. It does not estimate.

How it works →

Watch a run

One question, start to finish.

A sped-up recording of Critias answering a margin question on sample data: the file, the questions it asks, the scripts it runs and the checked chart.

Watch the demo →

IIYour data

No data is sent to Critias.

Critias runs on your computer and has no server of its own. Files are stored and computed locally, in DuckDB and Python. The model you choose sees your question, the context you confirmed, column profiles, rows the data checks flagged, and the output of the scripts it runs. Choose a provider whose data terms you accept.

Where your data goes →

IIIPricing Plugin

Seven skills, in Critias or your own agent.

Margin and price-volume-mix analysis, opportunity scans, recommendations, price structure design and rollout planning, for manufacturers, distributors, ecommerce, SaaS and subscription businesses. Use them inside Critias, or add the open-source Pricing Plugin to the AI agent you already use.

• Intake
• Analyse
• Scan
• Recommend
• Design
• Execute
• Triage

The Pricing Plugin →

IVTested in the open

Results you can rerun.

The evaluation suite ships with the code: synthetic and public datasets, answers computed by scripts, and a pass only when every figure matches. Failures are published alongside the passes.

Evaluations →