Docs / Pricing Advisor / Examples
Recommendation examples
Product-real examples showing different recommendation scenarios, outcomes, and version changes.
chat_message underpriced due to margin compression
- Feature
- chat_message
- Current
- 4 credits
- Suggested
- 5 credits
- Reason
- Margin below target threshold (18% vs 25% target)
- Confidence
- High
- Estimated monthly lift
- +$182
- Outcome
- Applied
- Version
- v1 → v2
image.generate after provider cost drift
- Feature
- image.generate
- Current
- 35 credits
- Suggested
- 42 credits
- Reason
- Provider cost increased ~18%. Current pricing no longer covers cost.
- Confidence
- High
- Estimated monthly lift
- +$340
- Outcome
- Applied
- Version
- v2 → v3
agent.run due to high compute profile
- Feature
- agent.run
- Current
- 20 credits
- Suggested
- 28 credits
- Reason
- High compute profile (avg 3 tool calls, 2K context). Current credits under-recover.
- Confidence
- Medium
- Estimated monthly lift
- +$95
- Outcome
- Applied
- Version
- v1 → v2
doc.analyze rejected by operator
- Feature
- doc.analyze
- Current
- 12 credits
- Suggested
- 16 credits
- Reason
- Margin below target. Suggested increase to align with competitor pricing.
- Confidence
- Medium
- Estimated monthly lift
- +$48
- Outcome
- Rejected
- Version
- —
Operator kept v1. Rejection recorded in history.
Low-confidence recommendation left unchanged
- Feature
- workflow.step
- Current
- 6 credits
- Suggested
- 8 credits
- Reason
- Insufficient usage data. Estimate based on similar events only.
- Confidence
- Low
- Estimated monthly lift
- ~$12 (uncertain)
- Outcome
- Not applied
- Version
- —
Left unchanged. Will re-evaluate when more data available.