ZeqMeter — Smart Metering

Device sync, SCADA, metering, fault detection.

• Protocol ID — zeq-meter
• Category — IoT
• Endpoint — POST /api/iot/meter/aggregate
• Auth — api-key
• Rate limit — 60/min
• Version — 1.0
• Precision — ≤0.1% (KO42-enforced)

What it does

Smart meter data aggregation with lattice coherence scoring. Meters report on Zeqond boundaries — aggregation detects tampering by coherence deviation.

Signature

Request

POST /api/iot/meter/aggregate

Param	Type	Required	Default	Description
readings	array	✓	—	Array of { meterId, value, unit, zeqond }.

Response

{ aggregate, meterCount, coherenceScore, anomalies, zeqondRange }

Runnable example

curl -sS -X POST \
  -H "Authorization: Bearer $ZEQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "readings": []
}' \
  "https://api.zeq.dev/api/iot/meter/aggregate"

Integrate

1. Domain solver — compose with KO42 + two additional operators from the matching family for pulse-coherent results.
2. Digital twin — pipe sensor data into this protocol every Zeqond to keep the model phase-locked with the system.
3. Alert threshold — flag results whose error_pct exceeds 0.1% as out-of-spec events for the operations layer.

Seeds

• Near — wrap /api/iot/meter/aggregate in a language SDK so builders can call it in three lines.
• Medium — publish a reference integration demonstrating ZeqMeter — Smart Metering alongside a real workload, with pulse-aligned metrics.
• Far — propose ZeqMeter — Smart Metering as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.

Papers

• Zeq paper — https://doi.org/10.5281/zenodo.18158152
• Framework paper — https://doi.org/10.5281/zenodo.15825138

Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.