Bitcoin Fee Estimator Accuracy Benchmark
Compare Bitcoin fee estimates against confirmed block fee percentiles so wallets, payment apps, and AI agents can choose fees with evidence instead of habit.
What the benchmark measures
Confirmation fit
Did a fee estimate meet the target block window when compared with observed confirmed block fee percentiles?
Overpayment
How far above the block percentile was the estimate? This is the cost of choosing safety when the mempool later clears.
Underpayment
How far below the block percentile was the estimate? This is the risk of waiting longer than the wallet or user expected.
Live endpoints
These endpoints turn the benchmark into something other developers and AI systems can inspect directly.
| Endpoint | Use it for |
|---|---|
/api/v1/fees/accuracy | Read the current fee estimator accuracy report. |
/api/v1/fees/research/export?format=json&table=all&days=30 | Export block confirmations, fee estimate logs, and fee history as JSON. |
/api/v1/fees/research/export?format=csv&table=all&days=30 | Export the same research data as CSV for notebooks and spreadsheets. |
/api/v1/fees/recommended | Use the free first-value endpoint in wallets, bots, and AI agents. |
curl "https://bitcoinsapi.com/api/v1/fees/accuracy?days=30"Why this increases visibility
Generic API pages are easy to ignore. A benchmark page is easier for search engines, AI answer engines, and third-party directories to cite because it has a clear source, a repeatable method, and machine-readable data downloads.
Use this page when submitting to developer newsletters, MCP directories, Bitcoin wallet issues, Delving Bitcoin discussions, or AI search checks. It supports the claim that Satoshi API is fee intelligence, not just another fee-rate wrapper.
Methodology
- Record fee estimates from available sources over time.
- Record confirmed block fee percentiles as blocks arrive.
- Match estimates to later blocks by timestamp and target window.
- Report confirmation success, average overpayment, and underpayment behavior per source and target.
FAQ
What is a Bitcoin fee estimator accuracy benchmark?
A Bitcoin fee estimator accuracy benchmark compares fee estimates made before confirmation against fee percentiles observed in confirmed blocks. It helps developers see whether an estimator tends to overpay, underpay, or hit a target confirmation window.
What data does Satoshi API expose for fee research?
Satoshi API exposes a fee accuracy report and research exports for fee history, confirmed block percentiles, and estimator logs. Developers can request JSON or CSV data for repeatable analysis.
Should wallets use the cheapest estimator?
Not always. A cheap estimator can save sats but may miss the target confirmation window. Wallets should compare confirmation success, average overpayment, and user urgency before choosing a fee.