Reploy
Reploy (RAI) — 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).
Reploy — an AI/Models / AI/API project: provides an API and “Web3 enabled LLMs” for building dApps/agents/tools with blockchain context (website/docs). Onchain, the RAI token (ERC‑20 on Ethereum) is confirmed.
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: AI APIs/models oriented toward Web3 use cases (chat completions, embeddings, tools, etc.).
- Who it’s for: developers of Web3 products and AI agents.
- Why onchain/token: the RAI token is used as a utility (including staking for access to premium API/limits — a claim in the docs); the AI service itself runs offchain.
- What you can actually touch (Tier‑1): the Reploy Sandbox on the website + Quick Start/API Reference in the docs.
How it works (very briefly)
- The user does: obtains an API key and calls the API endpoints (docs).
- The system does: processes requests to LLM models/tools (for example, chat completions/generation/web3 function calls — per the website/docs).
- The user gets: responses/actions oriented toward Web3 use cases (for example, “blockchain queries/tools” — claim) (website).
- Where the blockchain is: the RAI token on Ethereum is confirmed onchain; the web3 data/tools in the product are offchain integrations (website/docs).
- Token role (if any): the docs claim: stake RAI for premium API features and increased rate limits; a revenue share is also claimed (tokenomics docs).
Quick links: AI thesis fit
Project passport
| Field | Value |
|---|---|
| Project name | Reploy |
| Also known as (aliases) | Reploy AI, $RAI, RAI |
| Logo (logo) | — |
| Token symbol (ticker) | RAI |
| Category | AI/Models | AI/API | AI/Agents |
| 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 | 0xc575BD129848Ce06A460A19466c30E1D0328F52C |
| Token model (token_type) | utility (governance) |
| Max supply | 10,000,000 RAI (Etherscan) |
| Issuance | fixed (per Etherscan Max Total Supply) |
| Tokenomics (tokenomics, brief) | 48% of total supply in circulation (claim); 14% treasury (claim) |
| Governance | — (a governance utility is claimed in the docs, but the mechanism/venues are not disclosed) |
| Admins/keys | — |
| Audit | — |
| Bug bounty | — |
| Team (team) | — |
| Funding (investors/funding) | — |
| AI component (ai_component) | Web3-oriented LLM APIs |
| Use‑case (use_case) | agents/bots/dev tools for Web3 |
| DecAI Fit — AI thesis fit | 5/6 — high alignment with the Decentralized AI thesis |
| DecAI Fit component summary | 3 / 1 / 2 / 3 |
| Last verified | 2026-02-11 |
Links (links_*)
| Type | Link |
|---|---|
| Website | https://www.reploy.ai/ |
| Docs | https://www.reploy.ai/docs |
| GitHub | — |
| Releases / Changelog | — |
| Whitepaper | — |
| Roadmap | — |
| Security advisories | — |
| Explorer | https://etherscan.io/token/0xc575BD129848Ce06A460A19466c30E1D0328F52C |
| X | https://twitter.com/reployai |
| Discord | — |
| Telegram | https://t.me/reployai |
| Medium | — |
| Audit report(s) | — |
| Bug bounty | — |
| App / Demo | https://www.reploy.ai/demo |
| CoinGecko (profile, reference) | https://www.coingecko.com/en/coins/reploy |
| CoinMarketCap (profile, reference) | https://coinmarketcap.com/currencies/reploy/ |
General project overview
Reploy publishes an AI platform with an API and “Web3 enabled LLMs”, oriented toward developers: dozens of endpoints are claimed (chat, embeddings, tools), as well as a “Sandbox” for testing calls (website). The documentation has Quick Start and API Reference sections, as well as a separate tokenomics section for $RAI.
Features/modules
- AI API / endpoints: the Docs section “Build with Reploy” + API reference (docs).
- Sandbox: an interface for testing requests/tools (website).
- Web3 context/tools (claim): the website describes integrations and tools for web3 operations (website).
- $RAI token (utility): staking for access to premium API features/limits (tokenomics docs).
Typical scenarios
- Scenario 1: a developer obtains an API key → calls the endpoints → integrates AI functions into a dApp/agent (docs).
- Scenario 2: a developer tests in the Sandbox → selects a model/tools and parameters (website).
- Scenario 3: a holder stakes $RAI (claim) → receives “premium API features / increased rate limits” (tokenomics docs).
Getting started (wallet/network)
- What you need: an account/API key (docs); for the token — an EVM wallet.
- Network/chain: Ethereum mainnet (for RAI).
- Fees: API — offchain; onchain fees (gas) for operations with the token.
Architecture/tech (non‑AI)
- Components: Reploy’s offchain API/services + the onchain RAI ERC‑20 token (docs + Etherscan).
- Participant roles: API developers/users; token holders.
- Where logic runs: AI inference/request processing — offchain; onchain — the token and token transactions.
- Dependencies: Ethereum for the token; Reploy’s infrastructure for the API.
Token/economics (expanded, no forecasts)
- Token utility: stake $RAI for premium API features and increased rate limits (a claim in the tokenomics docs); a revenue share is claimed (claim).
- Protocol necessity drivers: the utility is tied to API access/limits (tokenomics docs).
- Who pays fees: users pay gas on Ethereum for onchain operations with the token.
- Where fees go: to Ethereum validators (network fees).
- Issuance/burn: max total supply 10,000,000 RAI (Etherscan).
- Security/incentive mechanisms: staking is claimed, the details of the onchain mechanics are not disclosed in the extracted Tier‑1 (no staking contract addresses).
- Distribution and token issuance schedule: 48% in circulation; 32% public sale; 14% treasury (tokenomics docs) — without onchain addresses in the extracted fragment.
- Treasury: “Project Treasury 14%” (tokenomics docs), addresses not given.
Governance
- Who makes decisions: — (a governance utility is claimed in the docs, but the mechanism is not disclosed).
- How protocol parameters change: —.
- Where decisions are discussed/made: —.
- Keys/multisig: —.
Security and incidents
- Audits: —.
- Bug bounty: —.
- Incidents: —.
- Threat model: centralized dependence on the offchain API/infrastructure; the token utility (staking/revenue share) is not confirmed by specific onchain contracts/addresses in the extracted Tier‑1.
Project status and timeline
- Current status: the website and documentation are available; the RAI token exists on Ethereum.
- Key releases/milestones: —.
- Roadmap: —.
Ecosystem/integrations
- Integrations: the section “Optimised and integrated with 40+ top on-chain protocols” is shown on the website without a list in the extracted fragment (claim).
- Partners: —.
- Where it’s actually used: the website claims 70+ million requests/month (claim).
AI component of the project
- What is real AI here? the product is LLM models and an API for Web3 use cases (docs/website).
- What is truly onchain? the RAI token (ERC‑20) on Ethereum is confirmed (Etherscan).
- Why is a token needed? the docs claim: staking $RAI for premium API features/limits and a revenue share.
- Red flags (based on the information found): offchain‑centricity (the AI runs as a service); absence in the extracted Tier‑1 of addresses of the staking/revenue‑share contracts; the claimed metrics/integrations require independent verification.
DecAI Fit component summary
- DecAI Fit: 5/6 — high alignment with the Decentralized AI thesis
| Component | Level | Score |
|---|---|---|
| AI reality | high | 3 |
| Onchain necessity | low | 1 |
| 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): There are signs of AI reality per Tier‑1 (see AI_1..AI_4), so the AI_0 flag (intent‑only) does not apply.
- Evidence: Tier‑1 — see Evidence/links in AI_1..AI_4.
- Why sufficient / why not (one line): AI_0=1 is admissible only when AI_1..AI_4=0; here ai_score without AI_0 = 3.
- Conflict note (if any): —
AI_1 — what the AI does (1/0)
- AI_1 (decision): 1
- Claim (one line): the service provides an LLM API (chat completions, embeddings, etc.) and claims Web3‑oriented tools.
- Evidence: Tier‑1 — https://www.reploy.ai/docs ; https://www.reploy.ai/
- Why sufficient / why not (one line): the docs describe the product function and the integration path.
- Conflict note (if any): —
AI_2 — demos/examples (1/0)
- AI_2 (decision): 1
- Claim (one line): there are Quick Start docs and a Sandbox on the website for testing requests.
- Evidence: Tier‑1 — https://www.reploy.ai/docs ; https://www.reploy.ai/
- Why sufficient / why not (one line): there is a reproducible entry point (docs) and example scenarios.
- Conflict note (if any): —
AI_3 — metrics/quality (1/0)
- AI_3 (decision): 1
- Metrics: “under 400ms latency” (claim), “89% reasoning benchmark scores” for 14B Instruct (claim).
- Context (version/date/how measured): the benchmark context/methodology is not disclosed in the extracted fragment.
- Evidence: Tier‑1 — https://www.reploy.ai/
- Why sufficient / why not (one line): the metrics are claimed in Tier‑1, but without a methodology/dataset and therefore only verifiable to a limited extent.
- Conflict note (if any): —
AI_4 — tech description/architecture/versions (1/0)
- AI_4 (decision): 1
- Claim (one line): docs on API integration and an “API reference” are published.
- Evidence: Tier‑1 — https://www.reploy.ai/docs
- Why sufficient / why not (one line): there is technical documentation of the interface (API), albeit without open model code.
- Conflict note (if any): —
Onchain necessity
OC_1 — contracts/addresses/chain (1/0)
- OC_1 (decision): 1
- Chain: Ethereum
- Addresses/identifiers: RAI token: 0xc575BD129848Ce06A460A19466c30E1D0328F52C
- Evidence: Tier‑1 — https://etherscan.io/token/0xc575BD129848Ce06A460A19466c30E1D0328F52C
- Why sufficient / why not (one line): the token address is confirmed by the explorer.
- Conflict note (if any): —
OC_2 — onchain beyond just a token (1/0)
- OC_2 (decision): 0
- What useful logic is onchain: the extracted Tier‑1 do not give addresses of the staking/revenue‑share contracts; only the ERC‑20 token is confirmed.
- Evidence: Tier‑1 — https://www.reploy.ai/docs/investors/tokenomics
- Why sufficient / why not (one line): without contracts/addresses, onchain logic other than the token cannot be confirmed.
- Conflict note (if any): —
OC_3 — onchain is critical (1/0)
- OC_3 (decision): 0
- “Replace the blockchain” test: the AI service runs as an offchain API; the role of onchain for mandatory access/distribution functions is not proven by addresses.
- Evidence: Tier‑1 — https://www.reploy.ai/docs
- Why sufficient / why not (one line): there is no proof that the product breaks down without the blockchain.
- Conflict note (if any): —
Token necessity
TK_0 — no token (1/0)
- TK_0 (decision): 0
- Claim (one line): the project has a token, $RAI.
- Evidence: Tier‑1 — https://etherscan.io/token/0xc575BD129848Ce06A460A19466c30E1D0328F52C
- Why sufficient / why not (one line): the token is confirmed by the explorer.
- 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): access to premium API features and increased rate limits is claimed via staking $RAI.
- Evidence: Tier‑1 — https://www.reploy.ai/docs/investors/tokenomics
- Why sufficient / why not (one line): the token’s utility role for access is described, but the onchain staking mechanics are not disclosed by addresses.
- Conflict note (if any): —
TK_2 — incentives/collateral/penalties (1/0)
- TK_2 (decision): 1
- Claim (one line): a “revenue share” for holders/ecosystem participants is claimed.
- Evidence: Tier‑1 — https://www.reploy.ai/docs/investors/tokenomics
- Why sufficient / why not (one line): the incentive is described, but without addresses of the distributing contracts.
- Conflict note (if any): —
TK_3 — governance (1/0)
- TK_3 (decision): 0
- Claim (one line): governance is mentioned as a utility, but without specific procedures/venues.
- Evidence: Tier‑1 — https://www.reploy.ai/docs/investors/tokenomics
- Why sufficient / why not (one line): not enough specifics to consider governance confirmed.
- Conflict note (if any): —
TK_4 — token is replaceable (1/0)
- TK_4 (decision): 0
- Claim (one line): the token is claimed as key for access (staking) and value distribution, so replacing it changes the product model.
- Evidence: Tier‑1 — https://www.reploy.ai/docs/investors/tokenomics
- Why sufficient / why not (one line): the utility is linked to access and incentive mechanics.
- Conflict note (if any): —
Evidence (table)
| Tier | Source | What it proves |
|---|---|---|
| Tier‑1 | https://www.reploy.ai/ | Description of the AI platform, endpoints/models and claims on metrics/integrations. |
| Tier‑1 | https://www.reploy.ai/docs | Documentation (Quick Start, API reference). |
| Tier‑1 | https://www.reploy.ai/docs/investors/tokenomics | Token utility (staking for API access), distribution (claim), revenue share (claim). |
| Tier‑1 | https://etherscan.io/token/0xc575BD129848Ce06A460A19466c30E1D0328F52C | RAI token contract, max supply 10M. |
No comments to display
No comments to display