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Pricing Advisor
Chargly helps you decide what AI actions should cost — not just deduct credits after the fact.
Why Pricing Advisor exists
Developers still need help answering:
- • What should this AI action cost?
- • Am I undercharging?
- • Did provider cost drift hurt my margin?
- • Which recommendation improved profit?
Pricing Advisor turns provider cost, margin targets, and pricing rules into actionable recommendations — so you can price AI features with confidence.
Product philosophy
Pricing Advisor is built for trust and control. In MVP:
- Deterministic— Same inputs produce the same recommendation.
- Explainable— Every recommendation includes a reason.
- Versioned— Applying creates an immutable pricing rule version.
- Human-approved— You apply or reject. No silent changes.
MVP scope
No black-box ML. No autonomous pricing changes. Recommendations are rule-based and fully auditable.
At a glance
Chargly evaluates provider cost, margin targets, and usage to generate recommendations. Each includes feature, current vs suggested credits, reason, confidence, and estimated lift. You apply or reject — applying creates a new immutable pricing rule version. Dashboard: recommendation card, history table, detail drawer, version badges. MCP tools available for agents.
Free vs Growth visibility
Free
- • Basic recommendation visibility
- • Latest recommendation only
- • Limited history
Growth
- • Full recommendation history
- • Pricing version history
- • Apply/reject controls
- • Estimated lift visibility