// Get live sensor data from Flower Room 01
const response = await fetch(
'https://api.kether.io/v2/rooms/flower-01/sensors',
{ headers: { Authorization: `Bearer ${API_KEY}` } }
);
const { temperature, humidity, vpd } = await response.json();
// Check VPD drift and adjust climate setpoints
if (vpd.current > vpd.target + 0.15) {
await kether.setClimateTarget({
room: 'flower-01',
humidity: humidity.setpoint + 2,
reason: 'VPD correction — automated agent'
});
}The shift
Full read/write access to sensor telemetry, climate data, irrigation schedules, nutrient delivery, and harvest analytics. WebSocket streams for real-time monitoring.
Use Cursor, Claude, Replit, or any IDE. Our APIs speak standard REST and JSON — no proprietary SDKs required. If you can code it, you can ship it.
Connect Claude, GPT, or any LLM to your live grow data. Build AI agents that monitor conditions, surface insights, and optimize crop recipes.
Go beyond read-only. Programmatically adjust climate setpoints, irrigation triggers, and lighting schedules. Build automated workflows that respond to real-time conditions.
Possibilities
Facility-specific views tailored to your operation.
Autonomous agents that monitor, analyze, and act on grow data.
Connect Kether to ERP, LIMS, or compliance systems.
Mobile or web apps built on your cultivation data.
Automated reporting for regulatory requirements.
App opportunities
Thousands of cultivation sites run on Kether. Every one of them needs tools that don't exist yet. Here's what the platform makes possible — today.
Visual programming environment — if/then/else logic, multi-sensor conditions, and chained actions across devices.
Tracks dryback %, irrigation frequency, shot volume, and runoff EC in real time. Flags deviations.
Continuous VPD monitoring with automated setpoint recommendations by growth stage.
Library of nutrient recipes with stage-by-stage EC, pH, and element targets.
Tracks daily light integral across zones. Automates supplemental lighting to hit DLI targets.
Combines live sensor data with Claude AI. Ask questions about your grow — get real-time answers.
Log scouting observations by room, track pest pressure trends, correlate with environment.
Visual irrigation schedule builder — multiple daily windows, variable shot volumes by stage.
Auto-logs temp, humidity, CO₂, and lighting. Generates signed PDF reports for inspections.
Uses current run data and historical yield history to predict harvest date and expected yield.
Aggregates environmental data and outcomes across every run. Builds a strain-specific fingerprint.
Connects cultivation data with cost inputs to calculate true cost per gram and margin per run.
Examples
Connect an LLM to live sensor data and let it reason about conditions, recommend adjustments, and log decisions.
Subscribe to events and trigger actions in external systems when conditions change.
Builder is included in the Kether platform for all customers on Essential plans and above.