Rantropy

Verification technology for randomness APIs and AI evidence

Rantropy provides a verified randomness API and a separate AI action evidence package. The API is delivered as SaaS, while the AI evidence product is supplied through Korea's KONEPS and Venture Nara procurement channels.

The randomness API connects each request and result to a reviewable record. The AI evidence package records AI requests, tool executions, and approvals inside the customer's institutional environment.

The first product is randomness verification

For probability items, draws, and random workflows, the API is built to keep the result and the evidence together.

Records are meant to be reviewed

Receipts, hashes, and exports should be useful to customers and auditors, not hidden away as internal logs.

AI evidence for public procurement

The packaged product records AI requests, tool calls, approvals, and external actions and is available through KONEPS and Venture Nara.

Trust Core

Evidence that still makes sense outside the app

When a system says something happened, a customer or auditor should be able to check the record without guessing. Rantropy builds that checkpoint into the product.

RandomnessFirst product
ReceiptCheckable record
AI EvidenceProcurement package

Product Tracks

From verified randomness to AI action evidence

The verified randomness API is delivered as AWS-hosted SaaS. AI action evidence is a separate packaged product for deployment in institutional environments.

Randomness verificationPreparing for commercial launch

Randomness Verification

For teams that need to explain how randomness was used in games, events, or API-driven workflows.

  • CSPRNG-based randomness API
  • Per-call usage and result records
  • Evidence receipts, audit exports, and customer review flows
  • AWS Marketplace and direct-contract rollout paths
Explore the randomness API
AI action evidenceReleased for public procurement

AI Action Evidence Package

A packaged product for institutions that need to preserve and review how an AI system made a decision, called a tool, or triggered an external action.

  • Prompt, model call, and tool execution events
  • Approval, rejection, override, and external action evidence
  • Independent verifier and audit bundle
  • Available through KONEPS and Venture Nara
Explore the AI evidence package

Records should remain verifiable after the event

Rantropy connects API calls, results, timestamps, and validation material so customers and auditors can review them later.

01

Receipt / Proof

Bind API calls, output hashes, usage, and timestamps into a record that can be checked later.

02

Hash Chain

Connect event order so later edits or missing records become visible. The point is a flow people can inspect.

03

Independent Verifier

Do not ask customers to trust the service database blindly. Exported evidence should be checkable on its own.

04

Audit Export

Package usage, receipts, and validation results in a form that customers, auditors, and procurement reviewers can read.

05

REST and gRPC Integration

Use the same randomness features through REST or gRPC to fit the service environment.

06

Plan-based Operating Policies

Each plan applies its own API key count, quota, rate limit, receipt retention, lookup, and export policies.

Validation

The first product starts with measured evidence

Validation numbers are not the whole story. They should sit where a customer can inspect them, instead of taking over the first impression.

These are internal validation records for the statistical behavior of the randomness engine. Before commercial rollout, they should be packaged with receipts, usage metering, and operating logs that customers can review.

PractRand256GB

A long-running stream window was captured without reported anomalies.

continuous stream window
ENT8.000000

Entropy, arithmetic mean, and serial correlation were checked against a stable sample profile.

entropy profile
Dieharder113/114

The captured assessment excerpt recorded no FAIL results.

assessment excerpt
NIST STS2,000

A representative statistical suite was run in batch form and recorded for review.

sequence batch
TestU01 BigCrushBigCrush

The BigCrush battery was run to check the statistical quality of the random generation core.

statistical quality check

For teams that need verified randomness in production

Rantropy combines randomness APIs, usage controls, and receipt records so product teams can operate and review random workflows in one service.

What the current service includes

  • CSPRNG-based bytes, integers, shuffle, sampling, and distribution APIs
  • REST and gRPC interfaces for service integration
  • Receipt records with output hashes, hash chains, and plan-based Merkle proofs
  • Plan-based API keys, quotas, rate limits, retention, lookup, and export

Where it fits

Probability item fairnessDraw and reward workflowsSimulation and testingSampling and shufflingAPI usage recordsReceipt export

Production adoption

The current product is an AWS-hosted SaaS service available through AWS Marketplace and direct adoption inquiries. Customer-hosted deployment is not currently offered.

AWS-hosted SaaS for pilots and production use
Plan-based API key, usage, rate-limit, and receipt policies
Per-customer access control and API key separation
Receipt lookup, verification, retention, and export
AWS Marketplace subscriptions and direct adoption inquiries
Contact for Enterprise