Developers · Documentation
Build with Kepler Q-Max
Everything you need to integrate quantum-trained inference into your stack — from a single curl call to a multi-region enterprise rollout.
Quickstart
Sign up, mint a key, ship your first prediction in 5 minutes.
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Concepts
QAOA, variational classifiers, hybrid inference — the model behind the API.
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Authentication
API keys, scopes, rotation, and per-environment isolation.
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SDKs
Python, TypeScript, and Go — typed responses with built-in retries.
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Webhooks
Stream long-running QPU job results back to your stack.
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Security & RLS
Row-level security, audit logs, and tenant isolation guarantees.
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Your first prediction
curl https://api.keplerqmax.sonicium.ltd/v1/predict \
-H "Authorization: Bearer sk_live_..." \
-H "Content-Type: application/json" \
-d '{
"model": "kepler-q-max",
"task": "fraud_detection",
"features": [0.12, 0.84, 1.7, ...]
}'
# → { "label": "high_risk", "confidence": 0.912, "latency_ms": 84 }Need help?
Open a ticket from your dashboard, or email support@sonicium.ltd. Enterprise customers get a dedicated Slack channel.