Set the number and defend it. It works from value drivers to a recommended price, with the reasoning attached.
Pricing strategy is a job. Most companies either fund a senior hire for it, buy it from a consultancy in project-sized chunks, or set prices in a spreadsheet and hope. The Pricing Strategy Agent is scoped to that job: same brief, same deliverables, available the day you turn it on.
A senior pricing strategist, plus the recruiting cycle it takes to find one who has actually shipped a price change.
A pricing study priced per project, which means the next question waits for the next statement of work.
Runs the same structured workflow the hire would, returns the same artifacts, and re-runs whenever the inputs change.
Give it a product and a segment. The agent works from value drivers through willingness-to-pay to a recommended price, end to end.
Output is a price recommendation with the range around it, the assumptions it rests on, and the sensitivity that matters if those assumptions move.
Cost floor to value ceiling, with a Good-Better-Best structure that puts the right buyer in the right tier.
The agent establishes the economic boundaries first, then builds the tier structure inside them so no tier is priced below the value it delivers.
Model and metric selection for AI products, APIs, and MCP servers, where usage is variable and cost scales with consumption.
Covers per-seat, per-call, credit, and hybrid structures, and what each one does to gross margin once real usage patterns arrive.
Total Economic Value, built from the buyer’s numbers rather than yours, with every figure source-tagged.
Separates hard savings from soft, notes where a claim rests on a benchmark instead of the customer’s own data, and ranges the result.
Start with the Pricing Strategy Agent, then add the three other agents as your pricing work grows.