COMPRESSION INTELLIGENCE API
Don’t compress it. Ask what it is.
AT-1 Intel is information theory as an API. Point it at any file or stream and it tells you the entropy, how compressible it is (and the storage cost), what kind of data it is, its duplicate-block ratio, and — for tables — the schema and which columns are exact functions of others. Read-only: it reads, it never reverse-engineers anyone’s format.
tell_me_about(file)
at1 intel orders.csv # orders.csv — 4.1 MB, csv, entropy 3.46 bits/byte (low — structured, compressible) # compressibility: 4.22x (~76% smaller, ~970 KB stored) · dup-blocks 0.02 # table: 200,000 rows x 5 cols # - qty: int (card 20, predictability 0.0) # derived (exact functions of other columns — store as formula, query without storing): # * total = qty*price at1 intel model.safetensors # entropy 7.99 — near-random, already-compressed, ~1.0x at1 intel access.log --json # full machine-readable report
Entropy & cost
Shannon bits/byte and a real storage-cost estimate before you commit — instantly separates “already at the noise floor” from “this will shrink 10×.”
Structure & schema
Kind, duplicate-block ratio, per-column type, cardinality and predictability — and the discovered derived columns a table is hiding.
Read-only, no lock-in
A pure analysis call — nothing is stored, nothing is reverse-engineered. Meters per call; first 1,000/month free.