Challenge frontier AI models at chess on chess.zakcoin.net — win and 100 ZAK is paid on-chain to your wallet. Lose and you still earn 10 ZAK. Every payout verifiable on BscScan. ZAK is the AI quality index token, anchored to a real metric: 1 ZAK = 1 MB of high-quality AI training data — updated on-chain by a dynamic oracle, not speculation.
Register free and play ranked games against frontier AI models — DeepSeek, Qwen, Gemini, Llama and more, judged by Stockfish. Win = 100 ZAK, draw = 25, loss = 10 — withdrawn on-chain to your own wallet. Every game also feeds the ZAK quality index.
A fundamentally different kind of token — its value isn't driven by hype or memes. It's derived from a measurable real-world metric: the cost of AI training data.
Unlike gold, fiat, or algorithmic stablecoins, ZakCoin's value is pegged to a transparent metric: the cost of 1 MB of high-quality AI training data. This creates a direct, verifiable link between the token and the AI data economy.
The contract stores dataPriceUsd — the price of 1 MB of training data in USD. Anyone can call getZakValue() to see the current peg on-chain.
ZakCoin powers the ZAK AI ecosystem — chat, image generation, voice synthesis, and more. The vision is that holders can use ZAK to access AI compute resources through ZAK Technologies' AI backend.
As AI demand grows, the value of the data required to train these models grows with it — and so does ZAK.
The data price is updated on-chain by a dedicated oracle reading live market data from the ZAK dashboard. Every price change is a verifiable on-chain event. No black boxes, no hidden mechanisms.
Current peg: $0.0533/MB — derived continuously from frontier-model pricing — it only ever increases.
The global AI training data market is projected to reach $15+ billion by 2030. High-quality, curated datasets are the oil of the AI revolution — without data, the most powerful models are useless.
Companies like Scale AI, Appen, and Labelbox operate multi-million dollar data marketplaces where the cost per MB of labeled data is clearly defined. ZakCoin tracks this real-world price.
Data has a real market price. Unlike speculative assets, the cost of AI training data can be benchmarked, tracked, and verified. Every major AI company spends on data — it's a proven expense category, not a guess.
This makes ZakCoin fundamentally different from pure speculation — the peg is backed by an actual industry metric that grows with AI adoption.
1. The live AI Data Quality Dashboard tracks frontier models' real pricing and quality.
2. The dynamic oracle anchors to frontier models' output-token pricing (the cost of generating data) to value 1 MB — not a hardcoded constant.
3. Safety rails apply (price never drops, max +5% per update), then setDataPrice(newPrice) writes it on-chain.
4. getZakValue() returns that price — the current on-chain value of 1 MB of data.
5. The data gate spends ZAK at 1 ZAK = 1 MB for real dataset access.
6. Result: 1 ZAK ≈ the live, verifiable market value of 1 MB of AI training data.
ZakCoin's core metric isn't hype — it's a measurable index of AI quality. Every model's output has a data-quality score. ZAK prices that quality against a single benchmark: the overall AI data-quality average.
Every model gets a data-quality score — how much signal its training data and outputs actually carry. Better data, better model, higher score.
The overall AI data-quality average is the baseline. ZAK is pegged to that average — a transparent yardstick for the whole AI economy.
Each model's credit is priced in ZAK relative to the average. Above-average models cost more ZAK per credit; below-average cost less.
1 credit = one unit of model output (a query, a turn, a task).
Quality score = how far a model sits above or below the AI average.
ZAK price = that quality, expressed in ZAK.
Stronger models cost more ZAK per credit — better performance commands a higher price. The result is a token whose price reflects real, measured AI quality, benchmarked against the overall average.
Quality scores aren't self-reported — they're earned in the arena. The ZAK Chess League pits frontier models against each other on the same board, with Stockfish as neutral judge. ELO + win-rate + eval accuracy become the transparent quality signal that feeds the ZAK-per-credit pricing. A second instrument — ZAK WAR, a nightly 10-faction AI melee — measures planning, economy and adaptability; its WAR Index carries equal weight in the price. Watch the measuring happen — live and free.
Every model's credit cost in ZAK is priced by two live, transparent instruments: chess ELO (reasoning under pressure) and the WAR Index (planning, economy and adaptability in a 10-faction AI melee). Each carries 50% weight. The league average is the baseline (1 Credit = 1.000 ZAK): stronger performers cost more ZAK per credit.
| Model | ELO | WAR | ZAK per credit |
|---|---|---|---|
| Loading league data… | |||
Price = 0.5 × (ELO / avg ELO) + 0.5 × (WAR / avg WAR) — 1 Credit = 1.000 ZAK at the league average. Both instruments are public and reproducible: chess ELO and the nightly ZAK WAR melee (deterministic replays). Predict the melee winner for free on the chess play page — correct predictors split a daily ZAK pot.
Real reasons to pay attention — not hype, not moonshots, but fundamentals that make sense for the AI era.
Every ZAK token's value is derived from a verifiable data price. You hold a token with a clear, on-chain valuation mechanism — visible to anyone on BscScan.
More AI adoption → more data demand → higher data prices → higher ZAK value. ZAK is a bet on the AI industry as a whole, not on short-term trading volume or social media hype.
Deployed on BSC mainnet with a verified contract on BscScan. The oracle logic, price updates, and total supply are all transparent. No rug pulls, no hidden mint abuse.
At the current peg of $0.0533 per ZAK, early adopters enter at the ground floor. The $53.3M implied market cap is tiny for a project with a $15B+ addressable market.
ZAK isn't just a token — it's the planned currency of the ZAK AI ecosystem. Future plans include paying for AI inference with ZAK, creating real utility demand.
No other token pegs its value to data. ZakCoin is pioneering data-backed cryptocurrencies — a new asset class that connects blockchain to the real AI economy.
The problem: Most tokens have no intrinsic value. Their price is pure speculation.
The solution: ZAK pegs its value to a real, measurable market — AI training data, a $15B+ industry.
The edge: As AI grows, data becomes more valuable. ZAK captures that upside directly.
The proof: On-chain oracle, verified contract on BscScan, transparent price history.
Not for: People looking for 1000x moonshots in a week. This is not a memecoin.
For: Investors who believe AI is the defining technology of this decade and want exposure to its foundational resource — data.
Risk factors: Oracle is currently single-key. Early stage with small liquidity pool. Do your own research.
Built for sustainability, transparency, and long-term value creation.
Fixed at deployment. A mint() function exists (owner-only) but every action is visible on-chain — no stealth inflation.
Live on PancakeSwap v2 (BSC). Oracle price = data price ($0.053333/MB peg); market price floats around it.
Pool: 0xA231...272A
ERC20Burnable is included — any holder can burn their own tokens, reducing circulating supply. Fully voluntary, no forced burning.
burn(amount) from any wallet| Token | ZakCoin (ZAK) |
| Contract | 0x26EfC87470F9D84bC4875f31BE4b9797059e77f4 |
| Chain | BSC Mainnet |
| Standard | BEP-20 (OpenZeppelin ERC20 + Burnable + Ownable + Permit) |
| Decimals | 18 |
| Peg | 1 ZAK = 1 MB of AI training data |
| Oracle | 0x66b6B9aF9d9eab476885Fb2467fd909610A6bd99 |
Built on industry-standard contracts with a unique data-pricing oracle layer that brings transparency to token valuation.
ZakCoin (ZAK) — BEP-20 token on BSC
Address: 0x26EfC87470F9D84bC4875f31BE4b9797059e77f4
Standard: OpenZeppelin ERC20 + Burnable + Ownable + Permit
Solc: ^0.8.27
Verified: ✅ on BscScan
The data price oracle is what makes ZAK fundamentally different from every other token.
Price precision: 6 decimal places (USD * 1e6)
The peg isn't a hardcoded constant anymore — it's driven by live market data, proven by a public dashboard, and spent through a real data-access gate.
A live public dashboard tracking the real performance and pricing of today's frontier AI models — intelligence, coding, agentic ability, hallucination rates, and token prices.
Open the dashboard →The peg is now computed from the dashboard's live data — anchored to the output-token pricing of frontier models (the true cost of generating data) — instead of a fixed number. It ratchets upward only (never down), with a hard floor at the current peg.
Real utility today: ZAK unlocks tiered access to ZAK's own training-data corpus — aggregate stats, PII-redacted RAG search, and raw metered rows at 1 ZAK = 1 MB.
No ZAK required. Read-only aggregate dataset statistics.
Hold ZAK. Search the corpus with PII automatically redacted.
Full raw rows, metered at 1 ZAK = 1 MB of retrieved data.
Where we are and where we're going.
ZakCoin v1 deployed on BSC mainnet. Website live at zakcoin.tech. Community building initiated.
ZakCoin v2 deployed with data-pegged oracle. Contract verified on BscScan. ZAK/USDT liquidity pool created on PancakeSwap. Daily oracle cron job established.
AI Model Data Quality Dashboard live. ZakCoin data-access gate deployed (3 tiers, 1 ZAK = 1 MB metering). Dynamic oracle feed replacing the fixed peg.
Launch data contribution program — earn ZAK by contributing high-quality training datasets. Decentralized data labeling and curation.
Expand to other chains. DAO governance for the oracle and protocol parameters. Community-driven data price voting.
ZakCoin is live on BSC mainnet. Buy on PancakeSwap, check the contract on BscScan, and join the future of data-backed value.