Islamic Finance Principles Assessment
Riba — Does ChainGPT involve interest?
ChainGPT's core business — AI tool fees, IDO launchpad revenue, NFT-generator proceeds — is genuine service income, not interest. However, its staking mechanism pays fixed, pre-set APYs by lock duration rather than a variable share of actual platform revenue, which raises a riba-proximity concern. Muslim investors should treat the fixed-yield staking pools with caution while viewing the underlying utility revenue as permissible in principle.
Assessment: Minor Riba
Score: 85/100
Our methodology examines 10 criteria to evaluate how well ChainGPT avoids interest-based mechanisms.
ChainGPT generates revenue through pay-per-use AI credits, IDO launchpad fees, and NFT-generation proceeds — all service-based, non-interest income streams. Fees paid in CGPT are largely burned (roughly 50%), with 25% to a DAO treasury and 25% to an operational vault; some verticals burn 100%. This fee-and-burn model is consistent with a usage-driven economy rather than a lending or interest-bearing structure. Treasury composition beyond this split, including whether any reserves are held in interest-bearing instruments, is not fully disclosed in available sources, leaving a minor transparency gap rather than a clear riba violation.
CGPT staking offers four lock-based pools (45/90/180/360 days) with fixed APYs of 1%, 3%, 5% and 8% respectively, plus a point multiplier gating platform access. These are pre-set schedule rates, not a variable distribution tied to actual platform earnings, which structurally resembles interest-bearing deposits rather than a profit-sharing arrangement. No revenue-sharing formula linking rewards to real income was found in the sources reviewed. This fixed-rate design is the main riba-adjacent element in ChainGPT's design and warrants light purification treatment for reward income earned through these pools.
Gharar — How much uncertainty does ChainGPT involve?
ChainGPT carries moderate uncertainty: the founder and parts of the team are publicly named, and documentation is extensive, but audit coverage is incomplete and some claims are self-reported. Overall transparency is above average for the sector, though gaps in disclosure remain. The net effect is manageable but non-trivial gharar.
Assessment: Moderate Gharar (Material Uncertainty)
Score: 53.9/100
Our methodology examines 15 criteria including team transparency, audit quality, and governance.
Founder Ilan Rakhmanov is named and profiled across LinkedIn, Forbes Technology Council and other outlets, and the ChainGPT Pad launchpad discloses individual leadership bios. The company LinkedIn lists additional employees, though the full "13 engineers/7 masterminds" team is not entirely named. Some code, such as the Solidity LLM, is open-sourced on Hugging Face, and documentation is extensive. Reported partnerships (Google Cloud, NVIDIA, TronDAO, Chainlink, Polygon, BNB Chain, CertiK) and "eight-figure revenue" claims stem largely from a self-reported, promotional Forbes profile and should be weighted cautiously rather than taken as independently verified fact.
CertiK's Skynet dashboard lists five audits covering staking, IDO, NFT-generator and vesting contracts, with an earlier CertiK video review reporting zero findings. However, coverage on the main ChainGPT.sol contract is only 29.74%, leaving most of that contract unaudited. A separate document flagging high-severity issues (unlimited allowance burn risk, no pause mechanism) exists, but it is unclear whether this reflects an independent third-party audit or a sample output from ChainGPT's own AI-auditor tool. This ambiguity, combined with partial coverage, constitutes a real gharar concern that should be named plainly rather than glossed over.
Maysir — Does ChainGPT involve gambling or speculation?
ChainGPT is not designed as a gambling or purely speculative instrument; it functions as a paid AI utility suite with a working product set. Speculative trading naturally occurs on secondary markets, as with any listed token, but this behavior by third parties does not define the protocol's own purpose. The core design supports productive use over chance-based payoff.
Assessment: Minor Maysir (Incidental)
Score: 70/100
Our methodology examines 11 criteria to determine whether ChainGPT is a gambling instrument or a genuine economic tool.
ChainGPT provides functioning AI tools — a chatbot, Solidity smart-contract generator, AI NFT generator, AI news engine, and the AIVM Layer-1 for AI model execution — with genuine case studies, partnerships, and reported usage metrics (e.g., a December 2023 blog citing $10M+ TVL and ~120k monthly active users, though now dated). This substantive utility, where CGPT is spent on tangible AI services rather than wagered on unpredictable outcomes, distinguishes the token's designed purpose from a maysir instrument. Users pay for computation and generation services, a productive exchange rather than a zero-sum bet.
Against this utility, CGPT trades on open markets where speculative activity, including price swings tied to burn-rate narratives, is common — a feature of virtually all listed tokens rather than something unique to ChainGPT's design. The project's own burn mechanic is partly marketed to encourage price appreciation, which cuts both ways: it reflects genuine deflationary tokenomics but also feeds speculative sentiment. Third-party speculative trading does not, on its own, render the underlying utility token impermissible, since the protocol itself is built around real service consumption rather than chance.
The Full 27-Point Screening
1. Legitimacy (4 criteria)
| Criterion | Score | Analysis |
|---|
| Team Transparency | 78/100 | The founder is named and publicly profiled with stated credentials across LinkedIn and Forbes, and a leadership team is disclosed for at least one sub-product. |
| Fraud & Scam Risk | 55/100 | No direct fraud, hack or rug-pull evidence was found, but an ambiguous audit document flags unresolved high-severity issues, leaving some uncertainty. |
| Use Case Legitimacy | 80/100 | Multiple case studies and partnerships show genuine AI tooling in active use by third-party projects. |
| Ethical Practices | 85/100 | The protocol's own design is AI/Web3 infrastructure with no inherent tie to a prohibited industry. |
Summary: The project has a named, publicly profiled founder and partial leadership disclosure, with no direct fraud or regulatory action found against it in these sources, though some claims rely on self-reported promotional material.
2. Project Operations (9 criteria)
| Criterion | Score | Analysis |
|---|
| Core Protocol Business | 85/100 | The core business is AI tooling and infrastructure, not gambling, alcohol, or interest-based finance. |
| Transaction Fees | 65/100 | Fees are split between burning, a DAO treasury and an operational vault rather than being extracted as interest, though a quarter goes to a company-controlled vault. |
| Treasury Assets | 60/100 | Only limited detail on treasury composition (e.g., stablecoins used for burn events) was found; no explicit confirmation of interest-bearing holdings either way. |
| Revenue Model | 80/100 | Revenue comes from usage fees, credits and launchpad fees, with no lending/interest revenue described. |
| Transparency | 80/100 | Extensive public documentation and partial open-sourcing (Solidity LLM) support transparency. |
| Governance | 45/100 | A DAO exists but token allocation data shows heavy concentration in the foundation, investor and insider buckets, indicating limited decentralisation. |
| Launch Fairness | 40/100 | Private-round, team and advisory allocations with vesting show the launch favoured early insiders over a broad public distribution. |
| Token Distribution | 45/100 | Sources show large foundation (~43%) and investor (~22%) allocations relative to community/public shares. |
| Speculation/Utility Ratio | 55/100 | Genuine AI utility exists but the burn mechanism is also marketed to drive token price appreciation, mixing utility and speculative framing. |
Summary: ChainGPT operates a real suite of AI tools and a new Layer-1 blockchain with a fee-burn model, but token allocation is concentrated among foundation, investor and insider holders rather than being broadly distributed.
3. Financial Health (4 criteria)
| Criterion | Score | Analysis |
|---|
| Protocol Revenue | 80/100 | Revenue sources described (AI fees, launchpad fees, NFT-gen proceeds) are not interest-based. |
| Financial Status | 55/100 | Financial claims (profitability, revenue scale) rely on a self-reported promotional profile and dated 2023 usage statistics. |
| Interest Assessment | 65/100 | No protocol-level lending/borrowing was found in these sources, but this is inferred from absence rather than an explicit statement. |
| Audit Quality | 55/100 | CertiK audits are documented but cover only ~30% of the main contract, and a separate ambiguous audit document raises unresolved high-severity findings. |
Summary: Revenue is drawn from non-interest usage fees and launchpad activity, but financial scale claims are largely self-reported and audit coverage of the core contract is limited.
4. Token Economics (5 criteria)
| Criterion | Score | Analysis |
|---|
| Token Purpose | 75/100 | CGPT is used for tool payments, governance and staking access, indicating genuine utility rather than pure meme design. |
| Governance Rights | 55/100 | DAO voting rights exist but are gated by staking and diluted by concentrated foundation/insider holdings. |
| Rewards Distribution | 30/100 | Staking rewards are fixed, pre-set APYs tied to lock length rather than variable returns from real economic activity. |
| Speculation Controls | 45/100 | Burn and vesting mechanisms provide some supply discipline, but the burn narrative is also used to encourage speculative price expectations. |
| Asset Backing | 50/100 | The token is backed mainly by claimed platform utility and a burn mechanic rather than any disclosed reserve of assets. |
Summary: CGPT is a genuine utility token for AI-tool access and governance, though a portion of its supply mechanics leans on promotional deflationary narratives alongside real usage.
5. Staking Mechanism (5 criteria)
| Criterion | Score | Analysis |
|---|
| Mechanism Type | 50/100 | A staking portal with multiple lock-based pools is documented, but custodial status and full mechanics are not detailed. |
| Islamic Contract Classification | 25/100 | Fixed, schedule-based APYs tied purely to lock duration resemble a guaranteed increment on locked principal rather than a clean profit-sharing structure. |
| Rewards Structure | 25/100 | Reward rates are explicitly fixed per pool/lock length rather than variable based on platform performance. |
| Documentation | 55/100 | Tier and APY structures are described in secondary sources, but full risk disclosures, custody terms and slashing conditions for token staking are not detailed. |
| Shariah Alignment | 30/100 | Fixed guaranteed staking returns raise an unresolved core question about compatibility with profit-and-loss-sharing Islamic contract structures. |
Summary: ChainGPT offers native lock-based staking with fixed, schedule-determined APYs rather than variable profit-sharing, which raises a specific and unresolved Shariah classification question.
Overall Assessment: ChainGPT presents as a legitimate, utility-driven AI infrastructure project with reasonable transparency, but concentrated token distribution, limited audit coverage, and fixed-rate staking rewards are the main areas requiring further Shariah scrutiny.
Written by ThanvirFounder, Ex Director S&P Global Energy
Reviewed by Imam Omar SiddiqiShariah Scholar