BEATS on BASE

BEATS on BASE — 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).

BEATS on BASE (also: BEATS; $BEATS) — an AI/Agents | Meme project on Base with the BEATS 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 meme project on Base whose whitepaper describes “white‑label” AI agents/bots for communities and a credit‑based payment model via the $BEATS token.
Who it’s for: communities/projects (Telegram/Discord, etc.) that need moderation, content and utilities via AI agents; community users.
Why onchain/token: in the whitepaper, $BEATS is described as “credits” (pay‑per‑use) for AI operations (LLM/image generation, etc.).

How it works (very briefly)

The user does: connects/uses an AI agent in a community (for example, moderation or content generation).
The system does: performs AI operations (LLM requests, image generation, etc.) and keeps track of “credits” in $BEATS (as claimed in the whitepaper).
The user gets: the result of the agent’s work (moderation/content/utilities).
Where the blockchain is: the onchain artifact is the BEATS token on the Base network (contract address in the Explorer).
Token role: $BEATS is used as the unit of payment/credits for operations (per the whitepaper).

Quick links: AI thesis fit

Project passport

Field	Value
Project name	BEATS on BASE
Also known as (aliases)	BEATS; $BEATS
Logo (logo)	../assets/326_beats-on-base_logo.png
Token symbol (ticker)	BEATS
Category	AI/Agents \| Meme
Primary chain (chain)	Base
Type	EVM
Network status	mainnet
Consensus (consensus)	L2 (Optimistic Rollup, Base on Ethereum)
Launch date (launch_date)	—
Project status (status)	active
Token (standard)	ERC-20
Token contract	0x315B8c9A1123c10228d469551033440441b41F0b
Token model (token_type)	utility (payments)
Max supply	—
Issuance	—
Tokenomics (tokenomics, brief)	In the whitepaper, $BEATS is described as a “credit system”: 100–1000 $BEATS per individual AI operations (LLM/images/video), as well as a “minimum balance” for a number of services.
Governance	—
Admins/keys	—
Audit	—
Bug bounty	—
Team (team)	—
Funding (investors/funding)	—
AI component (ai_component)	white-label AI agents for communities
Use‑case (use_case)	moderation/content/utilities via AI
DecAI Fit — AI thesis fit	4/6 — medium alignment with the Decentralized AI thesis
DecAI Fit component summary	ai_score 2 / onchain_score 1 / token_score 1 / evidence_score 3
Last verified	2026-02-11

Links (links_*)

Type	Link
Website	https://www.beatsonbase.ai
Docs	https://www.beatsonbase.ai/white-paper
GitHub	—
Releases / Changelog	—
Whitepaper	https://www.beatsonbase.ai/white-paper
Roadmap	—
Security advisories	—
Explorer	https://basescan.org/token/0x315B8c9A1123c10228d469551033440441b41F0b
X	https://twitter.com/BeatsOnBase
Discord	https://discord.gg/7buaWDUTu7
Telegram	https://t.me/BeatsOnBase
Medium	—
Audit report(s)	—
Bug bounty	—
CoinGecko (profile, reference)	https://www.coingecko.com/en/coins/beats-on-base
CoinMarketCap (profile, reference)	https://coinmarketcap.com/currencies/beats-on-base/

General project overview

The BEATS on BASE project is positioned as an AI‑oriented meme project on the Base network. The whitepaper describes “B U D D I Ξ S” — a set of white‑label AI agents for communities (moderation, content generation, utilities), as well as a model for paying for AI operations via “credits” in the $BEATS token.

Features/modules

White‑label AI agents (per the whitepaper): moderation, content generation, utilities for communities.
$BEATS credit model (per the whitepaper): accounting/payment for operations (LLM/images/video, etc.).
Onchain artifacts: the BEATS token on the Base network.

Typical scenarios

Scenario 1: community admins connect an AI agent → the agent moderates the chat/generates content (as claimed in the whitepaper).
Scenario 2: a user interacts with the agent → operations are charged in $BEATS (per the credit system model).

Getting started (wallet/network)

What you need: an EVM wallet when interacting with the token; other steps depend on the availability of the AI services/integrations described in the documentation.
Network/chain: Base.
Fees: Base network fees for onchain operations with the token.

Architecture/tech (non‑AI)

Components: the BEATS token (ERC‑20) on Base; the rest of the AI agent logic, per the description, belongs to the service layer.
Where logic runs: AI operations, judging by the description, run offchain; onchain — the token and operations with it.

Token/economics (expanded, no forecasts)

Token utility: in the whitepaper, $BEATS is described as the unit of payment/credits for AI operations (for example, “LLM interactions”, “image operations”).
Supply parameters: max supply / issuance are not recorded in the Tier‑1 sources of this card.

Governance

No Tier‑1 description of the governance mechanics (DAO/voting/protocol parameters) was found.

Security and incidents

Audits/bug bounty/incidents: no Tier‑1 confirmations were found.

Project status and timeline

Current status: based on the availability of the website/documentation — active; public releases/changelog are not listed.

AI component of the project

What is real AI here? The whitepaper describes AI agents/bots (moderation, media generation, multi‑LLM access) and their features.
What is truly onchain? The BEATS token (ERC‑20) on the Base network.
Why is a token needed? In the whitepaper, the token is described as a “credit system” for paying for AI operations (pay‑per‑use).
Red flags (what to double‑check): no public code/repositories; some claims in the whitepaper require verifiable artifacts (for example, the status of integrations/actual availability of services).

DecAI Fit component summary

DecAI Fit: 4/6 — medium alignment with the Decentralized AI thesis

Component	Level	Score
AI reality	medium	2
Onchain necessity	low	1
Token necessity	low	1
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 AI component is described as more than intent: the whitepaper lists the AI agents’ features and the credit model.
Evidence: Tier‑1 — https://www.beatsonbase.ai/white-paper
Why sufficient / why not (one line): There is a Tier‑1 description of specific AI features, so this is more than an “intention”.
Conflict note (if any): —

AI_1 — what the AI does (1/0)

AI_1 (decision): 1
Claim (one line): White‑label AI agents perform moderation/content generation and support multi‑LLM access (as claimed).
Evidence: Tier‑1 — https://www.beatsonbase.ai/white-paper
Why sufficient / why not (one line): The features are listed in a Tier‑1 document.
Conflict note (if any): —

AI_2 — demos/examples (1/0)

AI_2 (decision): 0
Claim (one line): A public demo/application is not recorded in the Tier‑1 sources of this card.
Evidence: Tier‑1 — —
Why sufficient / why not (one line): There is no Tier‑1 link to a specific available app/demo/quickstart.
Conflict note (if any): —

AI_3 — metrics/quality (1/0)

AI_3 (decision): 0
Metrics: —
Context (version/date/how measured): —
Evidence: Tier‑1 — —
Why sufficient / why not (one line): No Tier‑1 quality metrics/benchmarks were found.
Conflict note (if any): —

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

AI_4 (decision): 1
Claim (one line): The whitepaper describes the “credit system” model ($BEATS per operation) and a list of AI capabilities.
Evidence: Tier‑1 — https://www.beatsonbase.ai/white-paper
Why sufficient / why not (one line): There is a Tier‑1 description of the functionality and the “credits” mechanics, but without open code.
Conflict note (if any): —

Onchain necessity

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

OC_1 (decision): 1
Chain: Base
Addresses/identifiers: token contract 0x315B8c9A1123c10228d469551033440441b41F0b
Evidence: Tier‑1 — https://basescan.org/token/0x315B8c9A1123c10228d469551033440441b41F0b
Why sufficient / why not (one line): There is an onchain token address on a public network.
Conflict note (if any): —

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

OC_2 (decision): 0
What useful logic is onchain: No Tier‑1 confirmation of useful onchain logic beyond the token was found.
Evidence: Tier‑1 — —
Why sufficient / why not (one line): There is a token, but no confirmed onchain modules/contracts of the service.
Conflict note (if any): —

OC_3 — onchain is critical (1/0)

OC_3 (decision): 0
“Replace the blockchain” test: Without a Tier‑1 description, it cannot be proven that a key property of the product breaks down without the blockchain.
Evidence: Tier‑1 — —
Why sufficient / why not (one line): No grounds for 1.
Conflict note (if any): —

Token necessity

TK_0 — no token (1/0)

TK_0 (decision): 0
Claim (one line): The project has a token, BEATS (Base, ERC‑20).
Evidence: Tier‑1 — https://basescan.org/token/0x315B8c9A1123c10228d469551033440441b41F0b
Why sufficient / why not (one line): The onchain token contract exists.
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): In the whitepaper, $BEATS is described as “credits” for paying for AI operations (pay‑per‑use).
Evidence: Tier‑1 — https://www.beatsonbase.ai/white-paper
Why sufficient / why not (one line): A direct Tier‑1 description of the “credit system” and price examples in $BEATS.
Conflict note (if any): —

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

TK_2 (decision): 0
Claim (one line): Incentives/collateral/penalties in the token are not recorded in the Tier‑1 sources of this card.
Evidence: Tier‑1 — —
Why sufficient / why not (one line): There is no Tier‑1 description of incentive mechanics.
Conflict note (if any): —

TK_3 — governance (1/0)

TK_3 (decision): 0
Claim (one line): Governance via the token is not described in the Tier‑1 sources of this card.
Evidence: Tier‑1 — —
Why sufficient / why not (one line): No grounds for 1.
Conflict note (if any): —

TK_4 — token is replaceable (1/0)

TK_4 (decision): 0
Claim (one line): No Tier‑1 justification of the replaceability/irreplaceability of the token was found.
Evidence: Tier‑1 — —
Why sufficient / why not (one line): Conservatively: without evidence we set 0.
Conflict note (if any): —

Evidence (table)

Tier	Source	What it proves
Tier‑1	https://www.beatsonbase.ai/white-paper	Describes the AI agents/features and the “$BEATS credit system” model (pay‑per‑use)
Tier‑1	https://basescan.org/token/0x315B8c9A1123c10228d469551033440441b41F0b	Onchain contract of the BEATS token on the Base network
Tier‑2	https://www.coingecko.com/en/coins/beats-on-base	Token profile (context/navigation)
Tier‑3	https://coinmarketcap.com/currencies/beats-on-base/	Token profile (noise/marketing layer)