Treat device readings like survey answers — rules included
Small sensor fleets fall in a gap: full IoT platforms are overkill, spreadsheets are underkill, and the readings that mattered are discovered in the post-incident review.
The short way: Each device posts its readings to the feed API — validated, stored, summarised — and pushed on by webhook to whatever raises your alarms.
Type this — that’s the whole job
“A device reading record: device ID, temperature, humidity, battery level, status code”
Build it now — freeFree to start. The Business plan adds API data feed, validation at ingestion and webhooks. Compare plans
No setup, no tutorial. The words above go with you — review what the AI builds, then share the link.
How it works — three steps
- 1
Describe the reading fields; the AI builds the survey that defines the record shape.
- 2
Devices POST to the feed endpoint with an API key — one call per reading.
- 3
A webhook pushes each reading to the system that raises your alarms; the summaries update as readings land.
What’s doing the work
API data feedBusiness
One authenticated POST per reading — the device is just another respondent.
Validation at ingestionBusiness
A garbage reading is rejected with a named error, not stored as truth.
WebhooksBusiness
Every reading is pushed on the moment it lands, so your own alarm system can act on a threshold.
Questions people ask
What volume can the feed take?
The per-key budget is designed for device cadences (a reading a minute is fine); fleets beyond that should batch readings or talk to us about enterprise limits.
Why use a survey platform for sensor data?
Because the value isn't storage — it's the validation, human-readable analysis, webhooks and exports that IoT platforms charge enterprise prices to approximate.
Minutes, not weeks. That’s the deal.
Start freeFree to start. The Business plan adds API data feed, validation at ingestion and webhooks.