API Licensing
Direct API access is available for approved system-to-system integrations. RedLINE analyzes operational timestamps against a protected baseline and returns a structured timing signal your existing software can use.
What the API Provides
Protected baseline
Learning mode establishes a trusted baseline that does not silently retrain during monitoring.
Deterministic states
Monitoring returns Stable, Shifting, or Drift with supporting timing evidence.
Session isolation
Separate workflows and operating contexts can maintain separate baselines.
Evidence fields
Responses can include drift score, trend, trajectory, recovery behavior, and intervention-window evidence.
Every RedLINE integration follows the same workflow.
Build a baseline
Send timing intervals in learning mode until RedLINE establishes a baseline representing normal operating rhythm.
Lock the baseline
Once sufficient normal timing has been collected, lock the baseline. This becomes the reference used for future comparisons.
Monitor
Switch to monitoring mode. Every request compares current timing against the locked baseline and returns the current operational state.
Build with RedLINE
RedLINE measures the timing between repeatable events, compares current behavior against a locked baseline, and returns the current operational state. Applications continue to own business logic and operational decisions.
RedLINE does not require customer business data. It receives timing information, compares it to a locked baseline, and returns the current operational state. The customer's system decides what happens next.
Your system records timing
Capture timestamps or calculate the elapsed time between repeatable events.
Send timing to RedLINE
Submit the timing data to the RedLINE API using the customer’s selected session and mode.
RedLINE compares the rhythm
The current timing is measured against a locked known-good baseline.
Receive the operating state
RedLINE returns Stable, Shifting, or Drift. The customer decides how to use the signal.
Example API response
{
"human_summary": "Current timing has moved significantly away from the locked baseline.",
"state": "Drift",
"drift_score": 349.91,
"baseline_interval_ms": 120500,
"current_interval_ms": 300000,
"events_processed": 29,
"trend": "slowing",
"trend_velocity": 151.4,
"session_id": "default",
"mode": "monitoring",
"baseline_status": "locked"
}Every response is generated by comparing current timing against the locked baseline for the supplied session.
RedLINE is intentionally limited to the timing layer.
It does not diagnose root cause, determine business impact, or automate customer decisions.
Base URL
https://api.redline-timing.com
Every RedLINE integration follows the same lifecycle: learn normal timing, lock the baseline, monitor current timing, and intentionally reset the baseline when operating conditions permanently change.
Baseline comparison
Compares current timing against the locked baseline for that session.
State classification
Returns Stable, Shifting, or Drift with supporting timing values.
Timing intelligence
Makes changes in operational rhythm visible before downstream outcomes necessarily move.
Scheduling
The customer decides when and how often the API is called.
Business context
The customer determines whether a timing change is expected, acceptable, or actionable.
Downstream action
RedLINE returns the signal. It does not control customer systems or make operational decisions.
RedLINE is designed to fit alongside existing operational systems rather than replace them. Applications continue to own scheduling, workflows, business logic, and operational decisions. RedLINE focuses only on measuring operational timing against a locked baseline and returning the current operating state.
Traditional operational metrics usually measure outcomes after they have already changed. RedLINE measures the timing between repeatable events while the process is still running. Changes in operational rhythm often appear before downstream metrics, providing an earlier signal that operating conditions have changed.
Real API Responses
These values came from a controlled operational timing demonstration using the production RedLINE API. Session identifiers are simplified for presentation; the timing results are real.
Baseline Ready
Actual live API outputDrift Detected
Actual live API outputIntegration Fit
A good API use case has a repeatable operational process, reliable timestamps, enough representative healthy history to establish a baseline, and a clear reason to monitor timing change.
Access
API access is not intended to expose shared credentials publicly. Customer-specific access, usage governance, and integration scope are handled as part of onboarding.
Technical Reference
The company site explains what RedLINE offers. Endpoint schemas, request fields, response models, and interactive examples are maintained in the technical documentation.
Open API DocumentationRequest pricing for the workflow and integration you want to put into service.