Wellbian Labs Whitepaper - Weather Data Economy

DRAFT - the body text is being written in a separate document. The bullets under each chapter are the planned content.

0. Summary

• Wellbian Labs builds a three-layer infrastructure for weather data: collect (DePIN) → refine (AI Infra) → monetize (Finance). Each layer's output is the next layer's input.
• Rewarding contributors at the collection layer is what sets this apart from conventional weather businesses. Indoor (IAQ) and outdoor (OAQ) sensor nodes collect data; verified contribution is paid in fixed quantities of Wellbian (WLBN).
• Three axes: DePIN (Wellbian, wellbian.io) → AI Infra (Wellbian AI, wellbianai.io) → Finance (Weather Market weathermarket.io · Weather Fi weatherfi.io).

1. Problem: unverified weather data

• A single observation point: "Seoul's official temperature" is one station in Jongno. It does not represent the city.
• Delay and gaps: over the last seven days roughly 20% of METAR reports were missing or more than an hour late. Too many holes for a settlement reference.
• Thesis: trust should rest on verifiable facts, not institutions. The question is not who supplied the number but whether anyone can check it.

2. The Weather Data Economy

• Three layers: collect (sensors and nodes) → refine (the AI factory: indexes, forecasts, agents) → economy (data sales, insurance, derivatives and prediction markets on verified indexes).
• The loop: collection rewards → denser measurement → more precise indexes → larger financial markets → more data demand → reward funding.
• Vertical integration with KWeather: a private weather company holding 30 years of observation and forecast data, integrated with device distribution, an AI data center and financial infrastructure through to web3.

3. DePIN - Wellbian

• IAQ/OAQ sensor network: indoor air quality (IAQ, Taxon 3026) and outdoor air quality (OAQ, Taxon 2026).
• Device: ARC-600DA (device partner KWeather).
• License NFT: XLS-20, representing the right to operate a device or point.
• Quality score: uptime 40 · outliers 25 · neighbour correlation 20 · calibration 15.
• Fixed-quantity rewards: 7 WLBN per point per day × 0.78^(phase − 1) × grade factor.
• Scale: Genesis 25,000 points → target 1,000,000 points.
• Detail: DePIN technical specification v0.3

4. AI Infra - Wellbian AI

• AI factory: B300 GPU inference infrastructure.
• Products: inference API, forecasting and agent products, AI Factory access pass NFT (pure utility, content payment only).
• B2C: 60-day hyper-local forecast agent.
• Use cases: energy (heating indexes, demand forecasts), construction (phase forecasts, localized heavy rain and wind), retail and public sector.

5. Finance ① Weather Market

• Consensus oracle: 11 feeds, median with MAD outlier rejection. 167 cities in 90 countries.
• Indexes: WDI (Weather Data Index) and TDI (Temperature Data Index) on fixed, versioned weights.
• Verdicts: met / not met / withheld. Withheld is nobody's loss.
• Payment: XRP and x402 (402 → pay → retry → 200). Anchored on Flare SnapshotAnchor.
• Three products; pricing 25 USD per 30 days, 200 USD per year, 0.04 USD per call.
• Expansion from indexes to the full API, forecasts included.
• Detail: Weather Market protocol whitepaper v3

6. Finance ② Weather Fi

• Five parametric covers: HEAT ≥33°C · COLD ≤−5°C · RAIN ≥2mm · WIND ≥10m/s · HUMID ≥85%.
• Prediction markets: LMSR market maker, settled on determinations.
• SI development and supply, including private projects.
• Simulator disclaimer: virtual balances (sUSDT) with no monetary value.
• Licence principle: no data is supplied to an activity that requires a licence under the gambling laws of the Republic of Korea.
• Detail: Weather Fi settlement rules and product design

7. Token - Wellbian (WLBN)

• Total supply 10 billion. Allocation: node rewards phase 1 2.8B · phase 2 1.8B · LP 0.8B · team 0.6B · ecosystem 0.5B · strategic 0.5B · liquidity 0.5B.
• Burn 5 billion (2.5B scheduled + 2.465B bought back).
• Fixed-quantity principle: verified data contribution earns a set quantity. No price or return is promised anywhere.
• Milestone gates G0–G10 and the withdrawal policy.
• The tokenomics policy page is the source of record for every figure.

8. Technical architecture

• XRPL: license NFT (XLS-20), WLBN (IOU), AMM (XLS-30), x402 payment.
• Flare: snapshot anchor, determination registry, FDC proofs.
• Three off-chain layers (collect, verify, serve) and one on-chain layer (anchor, settle).
• Wallet role separation: Cold / Hot / Treasury.
• Five-stage de-identification and k-anonymity (k ≥ 25).

9. Governance, legal structure, risks

• Wellbian Labs Pte. Ltd. (Singapore, UEN 202604584N) and KWeather: delegated operation, related companies.
• Utility-token principle: no equity, dividend, profit-sharing or repayment rights.
• Risks: regulation, personal data, key management, dependence on settlement assets such as RLUSD.

10. Roadmap

• Phase 1 MVP & pilot - done (XRPL mainnet, Aug 2026).
• Phase 2 reward enhancement - in progress (data marketplace = Weather Market beta, quality score).
• Phase 3 AI advancement - Wellbian AI (forecasts, risk indexes, industry packages).
• Phase 4 financialization - Weather Fi (simulator, insurance and index-settled products as SI).
• Gate conditions follow G0–G10 of the tokenomics policy.

Appendix

• Glossary: reuses the glossary of the DePIN specification.
• References: Weather Market whitepaper · Weather Fi settlement rules · Tokenomics
• Change history: changelog

Legal notice

WLBN and license NFTs confer no equity, dividend, profit-sharing, or repayment rights. Rewards are a utility token distributed by the quality of verified data contribution; quantity, value, and liquidity are not guaranteed. Figures in this document are design and planning assumptions, not forecasts or promises of return.