Know what your agent will cost before you deploy.

Pre-deployment cost intelligence for AI agent workflows. Two commands. Zero config. ~$2.

$ pip install pretia

Validated narrow projection error · Free to start

Full cost intelligence in one report.

An optimization score, expected and worst-case projections, hidden cost risks, and savings recommendations with dollar amounts attached.

Pretia cost intelligence report for customer_support_agent.py showing an optimization score of 31 of 100, $5,544 in recoverable savings, and $14,183 per month projected cost at 10K daily runs.

Expected and worst-case projections

Not averages. What a typical month costs, what a bad month costs, and what the worst case looks like, at 100, 1,000, or 10,000 daily runs.

Hidden cost risks

Context windows that balloon across iterations. Retry loops that spiral. Runs that cost 20× more than normal. Detected before they hit production.

Savings with dollar amounts

Specific recommendations tied to specific numbers. "Switch this step from Opus to Haiku, save $4,200/mo." Not vague advice. Dollars.

Stop guessing. Start forecasting.

pretia.ai

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