Use this ai fraud detection token budget calculator to turn operational assumptions into a clear planning estimate. Enter values that match your own workload or site, then review the main result, supporting metrics, and interpretation. The calculation runs locally in your browser and exposes every major variable, making it useful for scenario comparison, budgeting, and early-stage design. Results remain estimates and should be checked against measured performance and project-specific constraints.
This budget estimates model-token demand for a fraud-screening batch. Rechecks and headroom are explicit so operations teams can see why the budget exceeds the nominal transaction payload.
Planning estimate only. Confirm important decisions with measured data, provider documentation, equipment specifications, and qualified professionals where appropriate.
100,000 transactions × 120 tokens plus 50,000 context tokens gives 12,050,000 base tokens. A 2% recheck rate and 15% headroom produce 14,136,650 tokens.
Yes, include all input and output tokens attributable to one transaction.
Count instructions, rule sets, or batch context sent once or amortized across the batch.
No. It represents transactions processed again, not transactions classified as fraud.
No. It estimates token volume only.
That reserves capacity for variation beyond the explicitly modeled rechecks.
| Item | Meaning |
|---|---|
| Variable | Unit |
| Transactions | records |
| Tokens per transaction | tokens/record |
| Retry rate | percent of base workload |
| Headroom | percent after retries |