AT-1 Appraise
What is your data actually worth?
Value a dataset by its information content — its compressed size under a pinned reference compressor — not its raw byte-count, which double-counts duplicates and rewards padding. A metric for M&A due diligence, data marketplaces, and insurers underwriting data as an asset.
- ranks info
- zeros < structured < random, by actual information content
- dup-invariant
- 10x-duplicated data values ≈ 1x — same information
- pad-invariant
- padding adds bytes, not value — the metric ignores it
- pinned
- a fixed reference compressor (lzma preset 6) — a real standard
at1 appraise value dataset.parquet # raw bytes : 1,142,180 # MDL valuation : 145,216 bytes of information # information density : 12.7% at1 appraise rank a.csv b.csv c.csv # rank a portfolio by info content
Honest scope.Compressor-approximated complexity is an UPPER bound on information content, and a standard requires pinning the reference (here lzma preset 6). Information content is not the same as semantic value — random bytes appraise highest and are worth least. Pair this with domain judgment, not instead of it.
Billed per appraisal — first 5,000/month free. See pricing.