$> Kaya
~/tools/gas-optimization-analyzerinteractive
/tools/gas-optimization-analyzer

Gas Optimization Analyzer

Use this gas optimization analyzer to estimate calldata byte overhead, fee cost, and potential savings from a projected gas reduction.

~/tools/gas-optimization-analyzeranalyze gas overhead
Calldata bytes
Zero bytes
Non-zero bytes
Intrinsic calldata gas
Current fee cost (ETH)
Fee after gas cut (ETH)
Estimated savings (ETH)
~/tools/gas-optimization-analyzer/examplesusage.txt

Example Usage

  • Estimate how much calldata contributes to intrinsic gas for a transaction payload.
  • Compare current fee cost against a hypothetical optimized gas usage target.
  • Check how zero-byte density affects calldata gas characteristics.
~/tools/gas-optimization-analyzer/guideREADME.md

Gas Optimization Analyzer Explained

A gas optimization analyzer helps you translate calldata structure and gas reduction ideas into fee impact. By combining gas used, gas price, calldata bytes, and a projected optimization percentage, the tool estimates current cost, optimized cost, and possible savings in ETH terms. This is useful for contract teams, frontend engineers, and analysts who want a lightweight way to reason about calldata overhead and performance improvements without setting up a full profiling workflow. It is not a replacement for profiler traces, but it is a fast first-pass economics tool.

~/tools/gas-optimization-analyzer/faq3 items

FAQ

Does this tool optimize my contract automatically?

No. It estimates the impact of a hypothetical gas reduction rather than changing code for you.

Why does calldata byte composition matter?

Because zero and non-zero bytes have different intrinsic gas costs on EVM chains.

Is this enough for production gas benchmarking?

No. It is a directional cost estimator, not a substitute for trace-based benchmarking.

~/tools/gas-optimization-analyzer/related5 links
~/tools/gas-optimization-analyzer/linksinternal