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GNY

GNY — a reference card for a crypto project: what the product does and how verifiable the project’s key claims are; also — alignment with the Decentralized AI thesis (DecAI Fit).

GNY — an AI/Analytics project (ML tools and predictive models; a link between ML + blockchain is claimed) with a GNY token (ERC‑20).

Disclaimer

Important: this page is a reference overview of the project. Within DecAIHub, we separately record a verification based on open sources within the AI thesis (what is real AI/onchain/why a token, and which sources this is based on).
This is not financial advice and not a recommendation to buy/sell/hold any asset. We do not assess price, returns, or entry/exit timing.
Conclusions are based on publicly available materials found as of the verification date. The absence of confirmation does not imply the absence of the technology.

TL;DR (for readers who are not into AI)

  • What it is: a set of ML tools and services for analysis/forecasting on crypto data (for example, Range Report), plus a claimed blockchain platform focused on ML.
  • Who it’s for: users who need ML indicators/predictive tools; network participants/nodes (per the project’s claim).
  • Why onchain/token: the token is described as utility: it grants access rights to the ML platform and is used for participation in nodes/delegation; the onchain layer is claimed as part of the “ML + blockchain” approach.
  • What you can actually touch (Tier‑1): GNY Range Report (a public interface with ML forecasts/indicators, per the project’s description).

How it works (very briefly)

  1. The user uses an ML tool: opens Range Report and receives forecasts/indicators (per the project’s description).
  2. The system builds forecasts: it is claimed that machine learning models and neural networks are used for predictive tasks.
  3. Where the blockchain is: per the whitepaper, a “machine learning blockchain” and a blockchain platform architecture are claimed; separately, an ERC‑20 token exists on Ethereum.
  4. Token role: a utility token described as a means of digital access rights to the ML platform and participation in network roles (delegate node operators and others).

Quick links: AI thesis fit

Project passport

Field Value
Project name GNY
Also known as (aliases) gny.io
Logo (logo) —
Token symbol (ticker) GNY
Category AI/Analytics | Infra
Primary chain (chain) Ethereum
Type EVM
Network status mainnet
Consensus (consensus) PoS (Ethereum)
Launch date (launch_date) —
Project status (status) active
Token (standard) ERC-20
Token contract 0xb1f871ae9462f1b2c6826e88a7827e76f86751d4
Token model (token_type) utility (payments + staking)
Max supply —
Issuance —
Tokenomics (tokenomics, brief) The token is described as utility: it grants access rights to the ML platform and is linked to participation in nodes/delegation; a swap between the ERC‑20 and mainnet token at 1:1 is also described (per the FAQ).
Governance —
Admins/keys —
Audit —
Bug bounty —
Team (team) —
Funding (investors/funding) —
AI component (ai_component) ML forecasts/indicators on crypto data
Use‑case (use_case) ML analytics + forecasting tools
DecAI Fit — AI thesis fit 5/6 — high alignment with the Decentralized AI thesis
DecAI Fit component summary ai_score 3 / onchain_score 2 / token_score 2 / evidence_score 3
Last verified 2026-02-11

General project overview

Per the Tier‑1 description on the GNY website, the project builds “predictive machine learning tools” for the crypto community and links token utility to products/services. GNY Range Report is described as a “consumer product” that provides daily forecasts/indicators (per the project’s description) and is positioned as an AI tool.

Separately, the Tier‑1 PDF whitepaper describes a “decentralized distributed machine learning blockchain” approach, where ML nodes/microservices and blockchain platform logic are linked to data processing and model training/optimization.

Features/modules

  • GNY Range Report: a public product with ML forecasts/indicators (per the description on the website).
  • ML + blockchain platform: the whitepaper describes a blockchain approach for distributed ML/ETL/processing (as an architectural idea).
  • ERC‑20 token: a tradable token on Ethereum; the FAQ describes an ERC‑20 ↔ mainnet token swap at 1:1.

Typical scenarios

  • Scenario 1: a user reads Range Report → uses ML indicators/forecasts as an informational tool (without financial advice).
  • Scenario 2: a participant/node operator participates in the network (per the description: delegate node operators) → receives rewards/incentives per the network rules (details require a separate Tier‑1 source).

Getting started (wallet/network)

  • What you need: web access to Range Report; an Ethereum wallet for operations with ERC‑20; if needed — access to mainnet infrastructure.
  • Network/chain: Ethereum (ERC‑20) and separately GNY Mainnet (per the project’s claim).
  • Fees: Ethereum network fees for onchain operations with ERC‑20.

Architecture/tech (non‑AI)

  • Components: the ERC‑20 token; the blockchain architecture described in the whitepaper; offchain product services (for example, Range Report).
  • Participant roles: product users; network/node participants (per the description).
  • Where logic runs: ML computation and product logic — in offchain services; onchain — the token and (per the whitepaper) the platform’s network/nodes.

Token/economics (expanded, no forecasts)

  • Token utility: the FAQ on the website claims that the token grants access rights to the “decentralised machine learning predictive platform” and is linked to node/delegation roles.
  • Incentive mechanisms: the FAQ lists roles (delegate node operators and others) as ways to participate (details of incentive mechanics require a separate Tier‑1 document).
  • Contract migration (2020): the GNY ERC‑20 contract moved from the old address 0x247551f2eb3362e222c742e9c788b8957d9bc87e to 0xb1f871ae9462f1b2c6826e88a7827e76f86751d4 (Etherscan note on the old contract page; the new contract was created on 2020-11-23).
  • Absorption of LML (2023): all circulating LML was swapped for GNY ERC‑20/BEP‑20, window 2023-05-30 — 2023-08-08; per the project, the swap was funded by investors from their existing GNY, without adding tokens to circulation; a burn of the 200 000 000 GNY treasury was also announced — 20 000 000 per year for 10 years. The swap terms are in the Link Machine Learning card.

Governance

  • Who makes decisions: not established per Tier‑1.

Security and incidents

  • Audits: not found in Tier‑1 sources.
  • Bug bounty: not found in Tier‑1 sources.

Project status and timeline

  • Current status: active (there is a website and repository activity).
  • Key releases/milestones:
    • 2020: migration of the GNY ERC‑20 contract to the new address 0xb1f871ae9462f1b2c6826e88a7827e76f86751d4.
    • 2023: the Link Machine Learning project was folded into GNY — circulating LML was swapped for GNY, window 2023-05-30 — 2023-08-08.
  • Roadmap: —.

Ecosystem/integrations

  • Integrations: not established per Tier‑1.
  • Partners: not established per Tier‑1.
  • Where it’s actually used: not established per Tier‑1.

AI component of the project

  • What is real AI here? Tier‑1 sources describe ML tools (Range Report) and contain a technical whitepaper describing a “machine learning blockchain”.
  • What is truly onchain? The ERC‑20 token on Ethereum; the FAQ also describes GNY mainnet and a separate explorer.
  • Why is a token needed? In the FAQ, the token is described as utility for access rights to the ML platform and participation in network roles.
  • Red flags (based on the information found): the whitepaper contains strong claims about “on‑chain ML”; increasing confidence requires specific reproducible artifacts/metrics for the ML part and a clear link between incentive mechanisms and onchain.

DecAI Fit component summary

  • DecAI Fit: 5/6 — high alignment with the Decentralized AI thesis
Component Level Score
AI reality high 3
Onchain necessity medium 2
Token necessity medium 2
Evidence Tier‑1 present 3
Details

AI reality

AI_0 — AI intent (Tier‑1 roadmap) (1/0)

  • AI_0 (decision): 0
  • Claim (one line): Tier‑1 sources describe working ML products, so the intent flag is not used as the main signal.
  • Evidence: Tier‑1 — https://www.gny.io/
  • Why sufficient / why not (one line): When AI_1/AI_2 are present, the intent flag does not add quality to the evidence.
  • Conflict note (if any): —

AI_1 — what the AI does (1/0)

  • AI_1 (decision): 1
  • Claim (one line): The project describes ML tools that provide forecasts/indicators on crypto data (Range Report).
  • Evidence: Tier‑1 — https://www.gny.io/
  • Why sufficient / why not (one line): Tier‑1 directly describes “predictive machine learning tools” and the Range Report product.
  • Conflict note (if any): —

AI_2 — demos/examples (1/0)

  • AI_2 (decision): 1
  • Claim (one line): There is a public Range Report interface with ML forecasts/indicators (as a product of the project).
  • Evidence: Tier‑1 — https://www.gnyrr.com/ ; https://www.gny.io/
  • Why sufficient / why not (one line): This is a “touchable surface” of the product, described on the official website.
  • Conflict note (if any): —

AI_3 — metrics/quality (1/0)

  • AI_3 (decision): 0
  • Metrics: —
  • Context (version/date/how measured): —
  • Evidence: Tier‑1 — https://www.gny.io/
  • Why sufficient / why not (one line): No reproducible set of numerical quality metrics with version/data context was found per Tier‑1.
  • Conflict note (if any): —

AI_4 — tech description/architecture/versions (1/0)

  • AI_4 (decision): 1
  • Claim (one line): There is a technical whitepaper describing a “decentralized distributed machine learning blockchain” and the ML architecture/nodes.
  • Evidence: Tier‑1 — https://docs.wixstatic.com/ugd/cddf32_25fa71e039144e929f35d5515caf5597.pdf
  • Why sufficient / why not (one line): The document provides a technical description of the ML part and architecture (as claimed by the project).
  • Conflict note (if any): —

Onchain necessity

OC_1 — contracts/addresses/chain (1/0)

  • OC_1 (decision): 1
  • Chain: Ethereum (ERC‑20); GNY mainnet is also mentioned (explorer).
  • Addresses/identifiers: ERC‑20: 0xb1f871ae9462f1b2c6826e88a7827e76f86751d4
  • Evidence: Tier‑1 — https://etherscan.io/token/0xb1f871Ae9462F1b2C6826E88A7827e76f86751d4 ; https://www.gny.io/
  • Why sufficient / why not (one line): The ERC‑20 contract is observable onchain; the website points to mainnet and an explorer.
  • Conflict note (if any): —

OC_2 — onchain beyond just a token (1/0)

  • OC_2 (decision): 1
  • What useful logic is onchain: the whitepaper describes a blockchain platform/architecture (DApp chains, consensus, components) and claims an on‑chain ML approach.
  • Evidence: Tier‑1 — https://docs.wixstatic.com/ugd/cddf32_25fa71e039144e929f35d5515caf5597.pdf
  • Why sufficient / why not (one line): The Tier‑1 whitepaper describes the network/architecture and the role of the blockchain in the system.
  • Conflict note (if any): —

OC_3 — onchain is critical (1/0)

  • OC_3 (decision): 0
  • “Replace the blockchain” test: no explicit “replacement test” describing threats/attacks without onchain was found per Tier‑1.
  • Evidence: Tier‑1 — https://docs.wixstatic.com/ugd/cddf32_25fa71e039144e929f35d5515caf5597.pdf
  • Why sufficient / why not (one line): OC_3=1 requires an explicit argument for onchain criticality.
  • Conflict note (if any): —

Token necessity

TK_0 — no token (1/0)

  • TK_0 (decision): 0
  • Claim (one line): There is a GNY token (ERC‑20), and a mainnet token and a 1:1 swap are also described.
  • Evidence: Tier‑1 — https://www.gny.io/ ; https://etherscan.io/token/0xb1f871Ae9462F1b2C6826E88A7827e76f86751d4
  • Why sufficient / why not (one line): Tier‑1 FAQ + onchain contract.
  • Conflict note (if any): —

TK_1..TK_4 (1/0)

TK_1 — payment for the service (1/0)

  • TK_1 (decision): 1
  • Claim (one line): The token is described as providing access rights to the ML platform/services.
  • Evidence: Tier‑1 — https://www.gny.io/
  • Why sufficient / why not (one line): The FAQ describes the token as a “utility token … access rights”.
  • Conflict note (if any): —

TK_2 — incentives/collateral/penalties (1/0)

  • TK_2 (decision): 1
  • Claim (one line): The FAQ lists participation roles (delegate node operators) and describes the token’s utility for participation, including delegation mechanics.
  • Evidence: Tier‑1 — https://www.gny.io/
  • Why sufficient / why not (one line): This confirms the presence of incentives/staking scenarios at the level of the project description.
  • Conflict note (if any): —

TK_3 — governance (1/0)

  • TK_3 (decision): 0
  • Claim (one line): Governance use of the token is not established per Tier‑1.
  • Evidence: Tier‑1 — https://www.gny.io/
  • Why sufficient / why not (one line): There is no explicit description of token governance mechanics.
  • Conflict note (if any): —

TK_4 — token is replaceable (1/0)

  • TK_4 (decision): 0
  • Claim (one line): The replaceability of the token is not established per Tier‑1.
  • Evidence: Tier‑1 — https://www.gny.io/
  • Why sufficient / why not (one line): An explicit statement about replaceability/irreplaceability is needed.
  • Conflict note (if any): —

Evidence (table)

Tier Source What it proves
Tier‑1 https://www.gny.io/ Tier‑1 project description: predictive ML tools; FAQ about token utility and mainnet.
Tier‑1 https://www.gnyrr.com/ “What you can touch”: the public Range Report interface (ML forecasts/indicators, per the project’s description).
Tier‑1 https://docs.wixstatic.com/ugd/cddf32_25fa71e039144e929f35d5515caf5597.pdf Technical whitepaper: description of a “decentralized distributed machine learning blockchain” and architecture.
Tier‑1 https://etherscan.io/token/0xb1f871Ae9462F1b2C6826E88A7827e76f86751d4 Onchain fact of the GNY token’s ERC‑20 contract; the contract was created on 2020-11-23 (checked 2026-09-24).
Tier‑1 https://explorer.gny.io/ The presence of an explorer for GNY mainnet (as indicated on the Tier‑1 website).
Tier‑1 https://www.gny.io/lml/ The official “LML SWAP and BURN” page (2023): all circulating LML was swapped for GNY ERC‑20/BEP‑20, window 2023-05-30 — 2023-08-08; an announced burn of the 200 000 000 GNY treasury (20 000 000 per year for 10 years) (checked 2026-09-24).
Tier‑1 https://etherscan.io/token/0x247551f2eb3362e222c742e9c788b8957d9bc87e Etherscan note on the old GNY ERC‑20 contract page: “GNY token contract has migrated to 0xb1f871Ae9462F1b2C6826E88A7827e76f86751d4” (checked 2026-09-24).

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