Technology

PureRand exposes multi-source quantum randomness as a simple HTTP API. Underneath, it combines independently operated quantum hardware setups, a conditioning and health-testing pipeline, multi-source routing logic and verifiable metadata for every response.

This page gives a technical overview for engineers, researchers and security teams who need to understand how the entropy layer behaves and how to integrate it safely.

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At a glance

  • Multiple independent quantum entropy sources
  • Continuous conditioning and health checks
  • Routing and aggregation to avoid single points of failure
  • Verifiable metadata for audit, fairness and research
  • Language-agnostic HTTPS API with simple JSON responses

Entropy architecture

PureRand does not depend on a single device or lab. Instead, it aggregates entropy from multiple independently operated quantum setups. Each source measures quantum optical phenomena such as photon shot noise and vacuum-driven fluctuations in well-characterised hardware environments.

Raw signals are digitised and fed into a conditioning pipeline. This pipeline normalises and “whitens” the data using proven extraction techniques, while continuous statistical tests track quality over time. If a source behaves abnormally, it is quarantined and removed from the aggregation pool.

For callers, this translates into a resilient entropy layer: multi-source by design, with an architecture that minimises the chance of undetected degradation or total outage.

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Quantum sources

Independently operated quantum hardware setups convert fundamental optical noise into digital entropy streams. Exact device details may differ, but the underlying physics are of the same, well-understood class.

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Conditioning

Per-source conditioning removes bias and normalises distributions. Health metrics and test suites ensure that anomalous behaviour is detected early and can be isolated quickly.

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Routing & aggregation

Entropy from healthy sources is aggregated and served based on latency and capacity constraints. Multi-source design reduces dependence on any single lab, device or network path.

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Verification

Responses include metadata and a verify handle. This allows you to log and later cross-check entropy used in cryptographic, AI, scientific or medical workflows.

API behaviour

The PureRand API is intentionally minimal. You request a number of bytes and a format; the service returns random data with metadata about how it was produced. Authentication is performed via bearer tokens over HTTPS.

Depending on your plan, you may be able to control routing policies – for example preferring certain regions or source profiles – while still benefiting from multi-source aggregation and automatic failover.

Full parameter details, error codes and return fields are documented in the API documentation. 

// Example: request entropy for a wallet seed in JavaScript
const endpoint = "https://api.purerand.com/random" +
  "?bytes=32&format=hex&kind=wallet_seed";

const res = await fetch(endpoint, {
  headers: { "Authorization": "Bearer <YOUR_API_KEY>" }
});

if (!res.ok) {
  throw new Error("PureRand error: " + res.status);
}

const body = await res.json();
console.log("Entropy:", body.data);
console.log("Verify :", body.verify);

// Store `verify` with your key generation logs
// to support audits and incident investigations.
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Best practices: security

  • Use PureRand at key generation time, not for every request.
  • Log the verify field with key lifecycle events.
  • Isolate entropy for different security domains where needed.
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Best practices: AI & bias

  • Separate entropy for sampling, data shuffling and evaluation.
  • Record entropy sources alongside model versions and datasets.
  • Use multi-source randomness to avoid hidden correlations from a single PRNG stream.
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Best practices: research

  • Treat entropy as part of your experimental method section.
  • Include PureRand usage and verify handles in lab notes.
  • Use consistent policies across replications and follow-up studies.

Next steps for developers

If you need to see every parameter, error code and return field, the official API documentation is the source of truth. You can also use the dashboard to explore entropy usage, health metrics and routing behaviour in real time.

Start with the free tier, wire PureRand into a small part of your stack, and then decide where multi-source quantum entropy adds the most value.

Open API documentation Go to dashboard