ZeqAutonomous

Powertrain, ADAS, telemetry, diagnostics.

• Protocol ID — zeq-autonomous
• Category — Automotive
• Endpoint — POST /api/auto/autonomous
• Auth — api-key
• Rate limit — 15/min
• Version — 1.287.0
• Precision — ≤0.1% (KO42-enforced)

What it does

Full autonomous driving stack — perception/planning/control pipeline on Zeqond cycle. Behavior planning, trajectory optimization, safety envelope monitoring.

Signature

Request

POST /api/auto/autonomous

Param	Type	Required	Default	Description
perception	object	✓	—	Fused 3D scene with tracked objects.
route	array	✓	—	Planned route waypoints.
safetyLevel	string		"L4"	'L2', 'L3', 'L4', 'L5'.

Response

{ trajectory, steeringPlan, speedProfile, safetyScore, fallbackMode, zeqond }

Runnable example

curl -sS -X POST \
  -H "Authorization: Bearer $ZEQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "perception": {},
  "route": [],
  "safetyLevel": "L4"
}' \
  "https://api.zeq.dev/api/auto/autonomous"

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/auto/autonomous in a language SDK so builders can call it in three lines.
• Medium — publish a reference integration demonstrating ZeqAutonomous alongside a real workload, with pulse-aligned metrics.
• Far — propose ZeqAutonomous 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.