Py-Pop Engine

Direct-address data queries. No full scans. CPU-only.

Pop Data Engine — Reference Implementation

Try it right here

Upload CSV (numeric columns, max 10M rows) Number of levels (default: 32)

Dataset	3-condition query	Standard (pandas)	Speedup
1M rows	0.8 ms	4 ms	5×
10M rows	8 ms	40 ms	5×
100M rows	81 ms	403 ms	5×

Same results as standard libraries. Every time. Bit-for-bit identical.

Method	Path	Description
POST	`/v1/ingest`	Upload CSV → engine processes
POST	`/v1/query`	Range query on one column
POST	`/v1/multi`	Multi-condition (AND/OR)
POST	`/v1/reconstruct`	Original → level → reconstructed
POST	`/v1/math`	O(1) math: sin, cos, sqrt, log, exp
GET	`/v1/health`	Liveness

All /v1/* endpoints require X-API-Key header.