Whitepaper · v3.0 · current

LinkHash — the data vendor for prediction markets and tokenized real-world assets.

We aggregate cross-venue prediction-market and tokenized-RWA data, license it as a real-time data API, run quantitative research and train machine-learning models on it, and host trading competitions with on-chain prizes. One data engine, three revenue surfaces — data · research · competitions.

v3.0 · August 2026 Native token: LHX Chain: Solana Issuer: LinkHash Corp · 8 The Green STE A, Dover, DE 19901
01

Executive summary

LinkHash is a data vendor for two fast-growing, poorly-instrumented markets: prediction markets (Polymarket, Kalshi, Predict.fun) and tokenized real-world assets (xStocks and stock perps across Solana DEXes and major CEXs).

We do one thing and build three surfaces on top of it. We aggregate the same instrument across every venue into one normalized feed, and then:

  • Data — license the real-time and historical feed as a REST + WebSocket API. This is the primary revenue.
  • Research — use the collected data to run quantitative research, train machine-learning / reinforcement-learning models, and publish findings.
  • Competitions — host trading competitions on top of the same markets, with on-chain (Solana) prizes and a public leaderboard.

The aggregator terminal is how we collect the data and the shop window that shows it is real. The native token, LHX, is a casino-chip-style unit of account inside the community layer — not the central pitch.

02

What changed in v3

v3 is a deliberate narrowing of scope. v2 described a broad product family — embeddable widgets, a white-label market engine, campaign/rewards mechanics and project-incubation services. Those are de-prioritized (not the focus of the business today) so we can go deep on what actually compounds: data → research → competitions, on top of the aggregator.

  • Kept & sharpened: cross-venue data vendor + API, the aggregator terminal (prediction markets + RWA), quantitative research, and trading competitions.
  • De-prioritized: embeddable widgets, white-label engine, monthly creator campaigns, and pump.fun / four.meme project-incubation services.

The full v2 document remains available as legacy v2.0 → for anyone tracking the earlier scope; nothing is deleted, only re-focused.

03

The data we collect

Everything starts from one continuously-updated, normalized dataset. We collect and store, per instrument and per venue:

The deepest coverage today is crypto up/down (5m / 15m). The same collection pipeline is venue- and market-agnostic, so we intend to broaden it to other prediction markets — politics, sports, macro and culture — as demand and licensing warrant.

Cross-venue prediction markets

Polymarket, Kalshi and Predict.fun — normalized probabilities, volumes, order books (pushed via WebSocket), resolution dates and unified status. LLM-assisted matching pairs the same event across venues.

Crypto up/down (5m & 15m)

Full history of the short-window BTC/ETH/SOL/XRP/BNB/HYPE/DOGE up-or-down markets on Polymarket and Kalshi — strikes, order books, and settled outcomes for every window.

Settlements & cross-venue mismatch

Settled outcomes stored for both venues, and every window where two venues on the same underlying settled differently — the raw material for arbitrage and rule-based execution logic.

Tokenized-RWA prints

~330 tokenized assets vs their real underlyings across Jupiter, Bybit, Bitget, MEXC, OKX, Binance and Hyperliquid — per-venue bid/ask, premium/discount and a 0–100 liquidity score.

04

Data API / SaaS primary revenue

The normalized feed is packaged as a paid, versioned API. Target customers: quant desks, market-data resellers, research firms, prediction-market participants and other Web3 platforms that need a canonical cross-venue price without writing nine fetchers. A downloadable SDK wraps the endpoints.

  • REST + WebSocket endpoints for prediction-market and RWA snapshots
  • Per-venue and combined (Polymarket + Kalshi) views on the same underlying
  • Settlement + /mismatch endpoints for cross-venue arbitrage research
  • Historical snapshots and candles for backtesting and research licensing
  • Tiered pricing: hobby → pro → institutional, with usage-based billing
05

Research

Owning the data end-to-end lets us do more than resell it. We run quantitative research on the collected history — training machine-learning and reinforcement-learning models to forecast short-window outcomes, and studying cross-venue settlement mismatches to derive rule-based execution logic per underlying.

  • Models — deep-learning / RL forecasters for the 5m & 15m crypto up/down markets, trained and evaluated on our own settled-outcome history.
  • Published research — write-ups and papers on cross-venue mismatch, calibration and arbitrage bands, posted in the Community section.
  • Signals — research outputs feed back into the data product as premium signal endpoints.

Research is both a moat and a marketing surface: it proves the data is useful and seeds the competitions.

06

Competitions

We host trading competitions on the same markets we instrument — the Polymarket Crypto Cup. An admin opens a season; participants register a Polymarket wallet for the 5-minute or 15-minute board; ranking is by cumulative return computed only from that board's crypto up/down games. Prizes are paid on-chain in Solana.

  • Split 5m / 15m boards, ranked by cumulative return — no disqualification, off-board trades simply don't count.
  • One entry per person (anti-Sybil by account, IP and wallet); display name pulled from the LinkHash profile.
  • Public leaderboard and per-account competition history; past seasons archived.
  • A Quantopian-style loop: competitions surface talent and strategies, which feed research, which sharpens the data.

View the live competition →

07

Aggregator & terminal

The consumer terminal at link-hash.com/terminal is the collection layer and the public proof that the feed is live. It shows the same two aggregators the API exposes:

  • Prediction-market aggregator — Polymarket, Kalshi and Predict.fun side-by-side, with cross-venue probability spread and arbitrage-like flags.
  • Tokenized-RWA aggregator — tokenized stocks/ETFs/commodities/FX vs their real underlyings, with premium/discount tracked across every venue.

The terminal is intentionally a stable surface, not a high-churn consumer app — its job is to collect and to demonstrate, while the data, research and competitions carry the business.

08

Business model

1. Data API / SaaS subscriptions

Recurring revenue from REST + WebSocket access to the cross-venue feed. The primary line.

2. Data-vendor licensing

Bulk historical + real-time data and derived signals licensed to research firms, quant desks and other aggregators.

3. Research & signals

Premium model outputs and mismatch/arbitrage signal endpoints sold on top of the base feed.

4. Competitions & community

Sponsored seasons, entry/community mechanics and the audience the competitions build — a top-of-funnel that converts into API and research customers.

09

Token (LHX)

LHX is not the central pitch. The revenue thesis sits in the data API, research and competitions — not in token mechanics. LHX functions as a casino-chip-style unit of account and points/utility unit inside the LinkHash community layer.

Chain · Solana Standard · SPL Mint · pump.fun
LHX mint address
9LrT8gAKJ5qUJA1wJoQRrVfapJGrNnU2ca5UYiJipump
10

Lockup & dev wallet

Previous investor allocation has fully exited the cap table. What remains on the disclosure side is the team lockup and a single operational dev wallet, both verifiable on-chain.

Team lockup

199,000,000 LHX locked via Streamflow until December 2026. The lock is unilateral and on-chain — no early-exit clause.

Dev wallet

Single operational wallet for protocol-side operations. All inflows and outflows are public on Solana explorers.

GkWMcnSNQP4aTVZruJMSwjhzW3VvEza3iZXi3NEwzPKE
11

Roadmap

  • Data API GA — versioned REST + WebSocket with usage-tier billing, SDK, and the settlement/mismatch endpoints promoted from beta.
  • Research cadence — recurring model releases and published mismatch/calibration studies in the Community section.
  • Seasonal competitions — regular Crypto Cup seasons (5m & 15m) with on-chain Solana prizes and archived leaderboards.
  • Broader data coverage — extend collection beyond crypto up/down to more prediction markets (politics, sports, macro, culture) and additional venues.

Products under exploration

Longer-horizon items we may build on top of the data layer once the core data / research / competitions business is compounding. These are directional, not commitments on timing:

  • Prediction-market widget & white-label engine — a drop-in widget and turnkey engine so any site can embed markets, settled with Solana or the LHX token.
  • LinkHash-native prediction market — our own short-window price up/down market, settled from the data feed we already collect.
  • Prediction-market leverage products — collateralized-loan-style leverage (akin to stock-collateral lending) built on top of the markets we track.
LinkHash Whitepaper · v3.0 Last updated August 2026 View legacy v2.0 →