Compressor IO API

The Compressor IO API provides a domain-focused method to estimate how data will compress under common algorithms. It is intended for data engineers, backend developers, and API integrators who need pre-calculation of storage, bandwidth, and latency implications. It does not perform actual compression; instead it models expected outcomes to guide design and budgeting. Users supply input size and algorithm parameters and receive expected compressed size, the resulting compression ratio, and a time estimate for the operation. Conceptually, the tool applies an algorithm-specific base efficiency and a compression_level scaling to the original size, producing outputs that can be used in capacity planning and cost modeling. It supports quick comparisons across algorithms and levels to identify trade-offs between density and processing time. Unique value comes from a consolidated, programmatic model that can be integrated into CI pipelines, API design docs, and architectural reviews. Use cases include deciding which compression method to apply to API payloads, estimating storage needs for backups, and projecting egress costs for cloud workloads. The estimator abstracts away hardware factors and real-world compression variance, focusing on repeatable, comparative predictions. It also exposes controlled inputs and clearly defined outputs for deterministic budgeting and what-if analyses. Examples include evaluating gzip vs zstd at different levels for a 100 MB payload, or comparing a 10 MB dataset across brotli and lzma to choose the fastest option with acceptable density.
Engineered for developers, it emphasizes transparency of formulas and the ability to reproduce estimates in documentation, prototypes, and deployment channels.