This planner estimates the monthly token budget required for an AI fraud-detection workflow. It scales the tokens consumed per transaction by transaction volume, retry or review overhead, and a safety buffer for traffic variation.
The output is useful for API quota planning, cost forecasting, and capacity reviews before a new rule set or model goes live. It reports both the expected token load and the buffered budget, helping teams avoid treating average demand as sufficient peak capacity.
1. Enter monthly volume
Use the number of transactions that will actually be evaluated by the AI workflow.
2. Estimate token use
Enter the average combined input and output tokens consumed for one transaction.
3. Add operational overhead
Include retries, secondary reviews, or enrichment calls as a percentage of base usage.
4. Set a safety buffer
Add headroom for traffic spikes and estimation error, then review the monthly and daily budgets.
Buffered token budget = Transactions × Tokens per transaction × (1 + Overhead %) × (1 + Buffer %)
Percentages are converted to decimals before multiplication. The result assumes the entered averages are representative of the planned month.
The main result is the token allowance to reserve for the month after operational overhead and safety headroom.
It is a planning estimate, not a provider quota guarantee; burst-rate limits may still require separate capacity checks.
Given: 500,000 transactions, 850 tokens each, 8% overhead, and a 20% buffer.
Calculation: Base = 500,000 × 850 = 425,000,000 tokens. With overhead = 425,000,000 × 1.08 = 459,000,000. Buffered = 459,000,000 × 1.20 = 550,800,000.
Result: Reserve 550.8 million tokens per month, or about 18.36 million per 30-day average day.
Yes. Use combined input and output token consumption per transaction unless your provider bills or quotas them separately.
Review logs from a representative period and divide retry, fallback, and review-call tokens by primary-call tokens.
No. The buffer raises total capacity, while requests-per-minute and tokens-per-minute limits must be checked separately.
Use a weighted monthly forecast for the total, then perform a separate peak-day or peak-hour calculation for burst capacity.
Multiply the token budget by your blended price per token, or use a cost-per-task calculator for a fuller cost model.