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Griffin AI

Griffin AI (GAIN) — 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).

Griffin AI — an AI/Agents / DeFi project: a no‑code platform (Agent Builder + Playground) for creating and using autonomous AI agents that interact with Web3 (DeFi operations/analytics/news) and are claimed as “on‑chain deployment”. Onchain SSOT of the token: GAIN (ERC‑20, Ethereum).

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 platform for building and running “AI agents” for crypto/DeFi tasks (agents in the Playground and the Agent Builder constructor).
  • Who it’s for: DeFi users and teams/creators who need ready‑made agents without writing code.
  • Why onchain/token: the GAIN token is used as the onchain layer of the ecosystem (accounting/economy/payments and incentives for network participants — as claimed in the project’s roadmap update).

How it works (very briefly)

  1. The user does: selects a ready‑made agent in the Playground or builds their own in the Agent Builder.
  2. The system does: the agent receives data (prices/liquidity/news/forums) and helps perform actions in Web3 scenarios.
  3. The user gets: automation/hints/execution of typical DeFi tasks via an agent.
  4. Where the blockchain is: the GAIN token is onchain (Ethereum); the roadmap describes onchain contracts (ID registry / bonding) as part of the network.
  5. Token role (if any): the roadmap describes the token’s role as the basis of interactions/payments and participation mechanics (bonding with slashing).

Quick links: AI thesis fit

Project passport

Field Value
Project name Griffin AI
Also known as (aliases) GAIN; $GAIN
Logo (logo) ../assets/236_griffin-ai_logo.svg
Token symbol (ticker) GAIN
Category AI/Agents | DeFi
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 0xe0Ff1B0584d63Cb74A78537f1fe0d17564e741D4
Token model (token_type) utility (incentives, bonding)
Max supply —
Issuance —
Tokenomics (tokenomics, brief) the token is used for payments/participation in the network; bonding with slashing (roadmap update)
Governance —
Admins/keys —
Audit yes (Hacken)
Bug bounty —
Team (team) —
Funding (investors/funding) —
AI component (ai_component) no-code DeFi AI agents (builder/playground)
Use‑case (use_case) DeFi automation + analytics
DecAI Fit — AI thesis fit 5/6 — high alignment with the Decentralized AI thesis
DecAI Fit component summary 2 / 2 / 2 / 3
Last verified 2026-02-11

General project overview

Griffin AI is positioned as a platform for creating and using AI agents in Web3/DeFi: the website describes the Agent Builder (a no‑code constructor), the Agent Playground (an environment for testing/using agents) and plans for a Marketplace. In the roadmap update, the team describes the development of the “Griffin Network” (Griffin ID registry / bonding contracts) and features such as RAG in the Agent Builder (uploading PDF/CSV to personalize agents).

Features/modules

  • No‑code Agent Builder: building and configuring agents.
  • Agent Playground: the place where agents are available and tested.
  • Agent suite for Web3/DeFi (research/news/price/tx execution, etc. — per the “AI Agents” page).
  • Griffin ID / onchain contracts (the roadmap update mentions smart contracts and an ID registry).

Typical scenarios

  • Scenario 1: the user selects a ready‑made agent (e.g., research/news) → receives summaries/search/data analysis on request.
  • Scenario 2: the user builds their own agent in the Agent Builder → configures the model/behavior and uses it for tasks in Web3.
  • Scenario 3: a developer/creator publishes an agent (plan/feature) → potentially monetizes it via the marketplace (claimed as a roadmap direction).

Getting started (wallet/network)

  • What you need: Web3 wallet(s) (depending on the chains the agent interacts with), an account/access to the Griffin AI platform.
  • Network/chain: Ethereum (GAIN token) + claimed multi‑chain support for agents.
  • Fees: fees of the respective networks for onchain operations (transactions/interaction with dApps).

Architecture/tech (non‑AI)

  • Components: the web platform (Playground/Builder), the onchain token (ERC‑20), the Griffin ID registry and bonding contracts described in the roadmap.
  • Participant roles: users/agent creators; operator/team; the roadmap describes network roles (e.g., node operators/service providers) via bonding.
  • Where logic runs: AI computations and most functions — offchain; onchain — token accounting and individual contracts/identities/incentives (per the roadmap).
  • Dependencies: EVM networks and wallets; data sources (prices/news) as part of the agent tools.

Token/economics (expanded, no forecasts)

  • Token utility: the roadmap update claims that the token “serves as the basis of network interactions”, including payments and agent services; the same text describes bonding contracts as a participation security mechanism.
  • Protocol necessity drivers: the token is used as a means of economic incentives and payments within the network/platform (per the roadmap).
  • Who pays fees: users/participants for onchain operations.
  • Where fees go: network fees — to the validators of the respective chains.
  • Issuance/burn: max supply per CMC = 1B; the onchain supply displayed on Etherscan differs (we record this as a conflict of sources).
  • Security/incentive mechanisms: bonding contracts with “slashing” as a penalty for SLA violations/malicious behavior (described in the roadmap update).
  • Distribution and token issuance schedule: — (not disclosed in the Tier‑1 pages shown).
  • Treasury: —.

Governance

  • Who makes decisions: —.
  • How protocol parameters change: via platform/contract updates (governance details are not disclosed in the Tier‑1 shown).
  • Where decisions are discussed/made: the official blog/roadmap updates and social channels.
  • Keys/multisig: —.

Security and incidents

  • Audits: there is a Hacken audits page for Griffin AI AG (details of specific reports were not extracted).
  • Bug bounty: —.
  • Incidents: not found in Tier‑1 sources.
  • Threat model: smart contract risks, risks of integrations with wallets/dApps, and quality risks of “agentic” automation.

Project status and timeline

  • Current status: the platform/agent pages are public; the GAIN token exists on Ethereum.
  • Key releases/milestones: roadmap update (2024‑12‑15) and the testnet/platform release stages mentioned in the text.
  • Roadmap: https://blog.griffinai.io/news/griffin-ai-roadmap

Ecosystem/integrations

  • Integrations: multi‑chain support and work with wallets/dApps are claimed; “AI Agents” describes the Playground as the place for interacting with agents.
  • Partners: the “roadmap update” mentions integrations/partnerships (e.g., Burrito Wallet for ELANN.AI) as a case.
  • Where it’s actually used: ELANN.AI and the Playground agents are described as real products/integrations (Tier‑1: roadmap update + the agents page).

AI component of the project

  • What is real AI here? the project describes an AI agent platform (Playground/Builder) and lists the types of agents and their purpose.
  • What is truly onchain? the GAIN token (ERC‑20, Ethereum) and the onchain contracts described in the roadmap (Griffin ID registry / bonding).
  • Why is a token needed? the roadmap describes the token’s role as the basis of payments/interactions and bonding mechanics (collateral with slashing).
  • Red flags (based on the information found): AI‑washing — low/moderate (there is a product description, but the demo in the text snapshot of app.griffinai.io was not extracted); onchain‑washing — moderate (much remains offchain); token‑washing — moderate (the token’s role is claimed, tokenomics/distribution details are not disclosed); what to double‑check — the real UX of the Playground/Builder, the addresses of the bonding/ID contracts and the slashing conditions.

DecAI Fit component summary

  • DecAI Fit: 5/6 — high alignment with the Decentralized AI thesis
Component Level Score
AI reality medium 2
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): the project has not only an “intent” but also a described product (Agent Playground/Builder).
  • Evidence: Tier‑1 — https://griffinai.io/agents ; https://griffinai.io/
  • Why sufficient / why not (one line): AI_0 is used only when there is no evidence of working AI (AI_1..AI_4 = 0), which is not the case here.
  • Conflict note (if any): —

AI_1 — what the AI does (1/0)

  • AI_1 (decision): 1
  • Claim (one line): the platform provides AI agents for Web3/DeFi tasks (research/news/price/tx execution, etc.).
  • Evidence: Tier‑1 — https://griffinai.io/agents
  • Why sufficient / why not (one line): the agents page lists the types of agents and their purpose.
  • Conflict note (if any): —

AI_2 — demos/examples (1/0)

  • AI_2 (decision): 0
  • Claim (one line): Tier‑1 contains a link to the Playground (app.griffinai.io), but the demo is unavailable per the available sources.
  • Evidence: Tier‑1 — https://griffinai.io/agents ; https://app.griffinai.io/
  • Why sufficient / why not (one line): without an accessible demo/verifiable example — 0.
  • Conflict note (if any): app.griffinai.io did not load (page unavailable).

AI_3 — metrics/quality (1/0)

  • AI_3 (decision): 0
  • Metrics: —
  • Context (version/date/how measured): —
  • Evidence: Tier‑1 — https://griffinai.io/agents
  • Why sufficient / why not (one line): quality metrics/benchmarks of the agents/models are not provided.
  • Conflict note (if any): —

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

  • AI_4 (decision): 1
  • Claim (one line): the roadmap update describes the functionality of the Agent Builder (GPT/Llama models, RAG, PDF/CSV upload) and network elements (ID registry, bonding).
  • Evidence: Tier‑1 — https://blog.griffinai.io/news/griffin-ai-roadmap
  • Why sufficient / why not (one line): there are technical details of the features/subsystems (albeit without source code/model versions).
  • Conflict note (if any): —

Onchain necessity

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

  • OC_1 (decision): 1
  • Chain: Ethereum
  • Addresses/identifiers: ERC‑20 GAIN: 0xe0Ff1B0584d63Cb74A78537f1fe0d17564e741D4
  • Evidence: Tier‑1 — https://etherscan.io/token/0xe0Ff1B0584d63Cb74A78537f1fe0d17564e741D4
  • Why sufficient / why not (one line): the contract address is confirmed by the explorer/CMC.
  • Conflict note (if any): the onchain supply on Etherscan does not match the max supply on CMC.

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

  • OC_2 (decision): 1
  • What useful logic is onchain: the roadmap describes Griffin ID registry contracts and bonding contracts (economic security of participation).
  • Evidence: Tier‑1 — https://blog.griffinai.io/news/griffin-ai-roadmap
  • Why sufficient / why not (one line): this is onchain logic beyond “just a token”.
  • Conflict note (if any): the addresses/ABI of these contracts are not provided in the text.

OC_3 — onchain is critical (1/0)

  • OC_3 (decision): 0
  • “Replace the blockchain” test: the AI agents/constructor can work offchain; onchain adds economy/identity/incentives, but “breaks down without onchain” is not proven.
  • Evidence: Tier‑1 — https://blog.griffinai.io/news/griffin-ai-roadmap ; https://griffinai.io/agents
  • Why sufficient / why not (one line): there is no Tier‑1 proof of the blockchain’s criticality for the core function (AI agents).
  • Conflict note (if any): —

Token necessity

TK_0 — no token (1/0)

  • TK_0 (decision): 0
  • Claim (one line): the project has a token, GAIN.
  • Evidence: Tier‑1 — https://etherscan.io/token/0xe0Ff1B0584d63Cb74A78537f1fe0d17564e741D4
  • Why sufficient / why not (one line): the token and the contract exist onchain and in the CMC profile.
  • 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 roadmap update claims that the token serves as the basis of network interactions and “enabling payments, powering agent services”.
  • Evidence: Tier‑1 — https://blog.griffinai.io/news/griffin-ai-roadmap
  • Why sufficient / why not (one line): this is a direct Tier‑1 statement about the token’s payment role.
  • Conflict note (if any): specific tariffs/payment mechanics are not disclosed.

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

  • TK_2 (decision): 1
  • Claim (one line): the bonding contracts require “lock tokens as a bond” and allow slashing for violations (SLA/malicious behavior).
  • Evidence: Tier‑1 — https://blog.griffinai.io/news/griffin-ai-roadmap
  • Why sufficient / why not (one line): there is a description of the collateral and the penalty logic.
  • Conflict note (if any): contract parameters/addresses are not specified.

TK_3 — governance (1/0)

  • TK_3 (decision): 0
  • Claim (one line): governance via the token is not described in Tier‑1.
  • Evidence: Tier‑1 — https://griffinai.io/ ; https://blog.griffinai.io/news/griffin-ai-roadmap
  • Why sufficient / why not (one line): there is no description of voting/governance rules.
  • Conflict note (if any): —

TK_4 — token is replaceable (1/0)

  • TK_4 (decision): 0
  • Claim (one line): the replaceability of the token with “USDC/a subscription without loss of meaning” is not proven in Tier‑1.
  • Evidence: Tier‑1 — https://blog.griffinai.io/news/griffin-ai-roadmap
  • Why sufficient / why not (one line): the roadmap describes the token as the basis of network interactions/incentives.
  • Conflict note (if any): —

Evidence (table)

Tier Source What it proves
Tier‑1 https://griffinai.io/agents description of the Playground/Builder and the types of AI agents (AI reality)
Tier‑1 https://blog.griffinai.io/news/griffin-ai-roadmap AI features (RAG/models) + onchain contracts (ID registry/bonding) + token role (payments/bonding/slashing)
Tier‑1 https://etherscan.io/token/0xe0Ff1B0584d63Cb74A78537f1fe0d17564e741D4 onchain token contract on Ethereum
Tier‑1 https://hacken.io/audits/griffin-ai-ag the fact that audits exist (Hacken page)
Tier‑2 https://coinmarketcap.com/currencies/griffin-ai/ Aggregator: reference profile and links (not Tier‑1).
Tier‑2 https://www.coingecko.com/en/coins/griffin-ai-2 Aggregator: reference profile and links (not Tier‑1).