lavarnd.up.railway.app

4 resources3755ms p50

lavarnd.up.railway.app

AI-authored, unreviewedclaude-sonnet-4-6

This host serves agents and applications that need unpredictable, hardware-sourced random values rather than software PRNG outputs. It is distinct from deterministic hash services because its outputs are derived from physical lava lamp pixel data, making them non-reproducible. It covers three use cases: measuring entropy quality, generating a ready-to-use password, and obtaining a random hash string for seeding or nonce purposes.

Capabilities

Entropy Quality Measurement

Provides a quantitative measure of randomness quality by computing Shannon entropy over sampled lava lamp pixels, useful for auditing entropy sources or gating cryptographic operations.

fetch-lava-entropy-score

Hardware-Derived Random Hashes

Returns unpredictable hash strings (SHA256 or SHA3-256) sourced from physical lava lamp pixel sampling, suitable as random seeds, nonces, or entropy strings.

fetch-lava-sha256-entropyfetch-lava-sha3-256

Random Password Generation

Generates a single 16-character high-entropy password derived from lava lamp pixel randomness, returning the password, its length, and the character set used.

fetch-lava-password

Workflows

Entropy-Gated Seed Acquisition

Use when an agent needs to verify that hardware entropy quality is sufficient before consuming a random hash as a seed or nonce.

1
fetch-lava-entropy-scoreMeasure current entropy quality; proceed only if the returned entropy score meets the agent's minimum threshold.
2
fetch-lava-sha3-256Retrieve a hardware-derived SHA3-256 hash to use as a seed or nonce, now that entropy quality has been confirmed.

Entropy-Gated Password Generation

Use when an agent needs to confirm randomness quality before issuing a hardware-derived password to a user or system.

1
fetch-lava-entropy-scoreCheck that the current entropy score is above an acceptable threshold before generating a password.
2
fetch-lava-passwordGenerate a 16-character password from lava lamp entropy, confident that the underlying randomness quality is adequate.

Use this host in Claude

Copy the skill below, then add it on claude.ai under Skills → Create skill → Upload.

Machine-readable: skills.json · SKILL.md · manifest.json

$0.00

across0settlements·$0.00avg

0buyers

0sellers

All-time context: $0.14 across 138 settlements

Resources (4)

All-time breakdown

Resource	Category	Quality	Tier	Txns	Volume
Lava PixelPass https://lavarnd.up.railway.app/lava-password	Tools	92	host level	—	—
LavaLamp SHA256 https://lavarnd.up.railway.app/lava-sha256	Tools	93	host level	—	—

Own lavarnd.up.railway.app? List it with your agent

This host is already in good standing. Paste the prompt below to your coding agent to re-audition and refresh every route.

Every route is already scoring Strong — re-auditioning confirms it and refreshes the synthesized Skill.

Paste this to your agent

Make my x402 API at https://lavarnd.up.railway.app discoverable on x402gle. Read the instructions at https://x402gle.com/agent.md and follow them end to end. Install the OpenDexter CLI, then run `npx @dexterai/opendexter audition https://lavarnd.up.railway.app --json`. Read the score and fixInstructions for every route, fix my OpenAPI and endpoints until each route passes, and re-audition until it does. A passing audition lists my API automatically.

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