← GUMP
Universal Sensor
X-ray vision for time series.
$2,999/mo
Feed it a heart rate signal — it detects loss of coherence before arrhythmia. Feed it stock data — it flags instability before volatility spikes. Feed it server metrics — it finds the component driving the change. Same math. Same output structure. Any data.
Four quantities describe what's happening:
K (coupling) — how strongly parts influence each other
R (order) — how synchronized the system is
E (energy) — how costly it is to maintain the current state
T (tension) — how close to breaking it is
Flat monthly rate. Runs locally. No per-host surprise bills. No data sent anywhere.
WHAT YOU GET
K/R/E/T decomposition for any time series
Regime detection: stable, critical, chaotic
Trend analysis with structural explanation
Anomaly detection: identifies which components are driving the change
Multi-channel correlation and coupling maps
Phase transition alerts before system failure
Works on any data: medical, financial, industrial
Exportable reports and real-time streaming mode
GPU-accelerated decomposition for large time series
Hardware-signed outputs via Secure Enclave (tamper-proof)
WHAT THIS IS / WHAT THIS ISN'T
WHAT THIS IS
Time series diagnostics using four physical quantities — coupling (K), order (R), energy (E), tension (T). Detects regime changes, anomalies, and trends in any numerical time series. Works on medical, financial, industrial, or any data.
WHAT THIS ISN'T
A monitoring platform. No dashboards, no alerts, no integrations, no agent running on your servers. This is an analysis engine — feed it data, get a diagnosis. For continuous monitoring, pair it with Datadog or Grafana and use our engine for the analysis layer.
YEAH BUT
"Datadog already monitors everything."
Datadog monitors server metrics and charges per host. Your bill doubles every year. Universal Sensor runs locally for a flat rate and works on ANY data — medical, financial, industrial, climate. Not just servers.
"What's K/R/E/T?"
K = how strongly parts influence each other. R = how synchronized. E = how costly. T = how close to breaking. Four numbers, any data. The math doesn't care what the data is — it measures the structure underneath.
"This sounds too general to be useful."
General is the point. The Laplacian eigenvector doesn't care if the data is heartbeats or stock prices. The physics is the same. That's why one tool replaces three vendor contracts.
VS THE COMPETITION
Datadog
Monitoring (what happened). $15-47/host/mo, per-host pricing scales painfully.
Universal Sensor: structure (why it's happening). $2,999/mo flat. Any data type. Runs locally.
Splunk
$150-2700/GB/day/yr — log search. Forces you to cherry-pick what to ingest.
Universal Sensor: flat rate. Ingest everything. No penalty for being thorough.
Dynatrace
$58/host/mo — $20K minimum annual. Requires careful configuration.
Universal Sensor: works out of the box. Flat rate. K/R/E/T framework needs no configuration.
TRY IT
3 free analyses. Fixed sample data. Your own data requires a license.
BENCHMARKS
Throughput
K/R/E/T analyses/sec: 737,901
Batch time series: 10,000 streams in 13.6ms
Works on: medical, financial, industrial, any numerical data
Detection
Normal system: K stable, T low
Under attack: K drops, T spikes — detected
Phase transition: regime shift detected before system failure
TESTING
Unit tests, adversarial input testing (None, wrong types, NaN, empty data, unicode), real user workflow testing, and cross-product integration testing. Every public function handles every input permutation without crashing. 673 quality tests across all products, zero failures. Self-verifying: the product can audit its own output.
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Get Universal Sensor — $2,999/mo
After purchase: setup guide
INSTALL
pip install begump
from gump.sensor import *