Press Release
UniArt’s impossible art formula gallery bring bottom-up NFT appreciation with vote mining on 30th Sep
Preamble
Recently, “Loot” has been spreading virally throughout the crypto community. Industry key opinion leaders (KOLs), founders of quality projects, and investment institutions all pay close attention to the emerging “bottom-up” concept, and more community members are excited about it.
Despite the term bottom-up only recently coming into the limelight, in essence, the philosophy may be at the root of the entire crypto economy. Bitcoin, for example, breaks the rules of centralized government-issued fiat currency by enabling anyone that follows its PoW consensus algorithm to produce a new currency. On the other hand, Ether allows developers to build arbitrary dApps on top of it without permission, and its prosperity hinges on the frequency of this.
These two patriarchs of the crypto economy have opened up a bottom-up path outside the centralized internet. The bottom here can be anyone. The top is no longer governments or corporations but now code, algorithms, data, and consensus mechanisms. Loot is the first bottom-up non-fungible token (NFT), possessing similar intrinsic characteristics at the root of its explosion.
The most widespread application of NFT is currently in the art sector. Crypto community practitioners are working to bring NFT into the traditional art marketplace. To accomplish this, NFT must have general acceptance and market consensus, not just within a niche group of artists and appreciators. Take the most common financial application of collateralized lending, for example; a starving artist, globally unknown pledges his minted NFT to you, the potential lender. They claim it is worth US$10,000 and want to borrow against this collateralized value. Naturally, you are hesitant, unsure of its market value, and even if a current buyer is willing to purchase it at that price, you are still uncertain about its future value. In short, there is not enough market consensus for that NFT. However, let’s use CryptoPunk or BAYC as collateral in this example. Results would be the opposite because each of these digital assets already has widespread market consensus, having been classified as antiques in the NFT community. Therefore, the fair market valuation of NFT is critical to achieving market consensus in the financial sector. Exploring a suitable value solution for NFT is beneficial in a financial application, which opens up various other possibilities for NFT, leading to the further development of the whole crypto community.
UniArts aims to uncover NFT fair market valuation through its customized bottom-up Nominated Proof-of-Stake (NPoS) economic model, aspiring decentralized incubation of creators and their works. In this paper, the core concept of UniArts will be comprehensively explained using this bottom-up concept as the source idea.
Bottom-up NFT Fair Market Valuation
The term bottom-up can be understood differently in different contexts; building on top of a foundation is not a required characteristic. In the context of UniArts, bottom (in a non-pejorative sense) can be understood as what people define together and top as the fair value of NFT. This bottom-up approach is contrasted with more traditional top-down valuation, which was determined mainly by centralized auction houses or prominent collectors. Less renowned artists rarely gained any attention, and in the rare chance they did, their work would often be considered nearly worthless. Such an approach does nothing to showcase potentially exceptional pieces for the mere reason they are unknown, and they remain misunderstood by the public.
In the UniArts network, $UART holders are deemed “nominators,” pledging their tokens as “votes” for an NFT they admire. The more votes an NFT receives, the more people approve of it, and the higher the consensus level. When people are required to invest in their decisions, they become much more selective. Since there is value in $UART, the votes that an NFT receives indicate its fair market value. In the early stages of UniArts’ development, the small user base may not be sufficient to tie the word fair to an NFTs value, but as the network expands, it will become more and more convincing. This process can be referred to as the “flywheel effect.”
Appreciate to Earn
“Appreciate To Earn” is a new concept and a subset of “Play To Earn,” in that merely appreciating an NFT is akin to the process of playing. Axie Infinity, a chain game that has been popular in the crypto community for a while now, relied on this “Play To Earn” concept as the fuel to expand its user base. From this vetted example, we know that it is a viable business model.
UniArt’s Nominators pledge $UART and select an NFT they appreciate to earn more $UART, including a base pledge bonus and a block bonus for top-ranked NFTs. In this process, the word appreciate corresponds to the nominator, and the word earn corresponds to the earned $UART. In Axie Infinity, players buy a pet “Axie” as an entry ticket to the game and earn revenue in-game from this Axie. In UniArts, $UART is the entry ticket into the network.
Play to Earn can be viewed as a modern concept to attract new users. Traditional game companies pay third-party advertising companies to attract new users, but these users do not receive any income. Blockchain games use tokens to incentivize new users, which is a disguised way of attracting traffic; an alternative form of advertising, where the fees paid to advertising companies are instead attributed to the user. If this alternative form of advertising is integrated into a chain game’s economic model, one can only expect explosive organic user growth. Similarly, the Appreciate to Earn concept will cause natural growth of UniArt’s user base, eventually to the point where fair valuation is achieved.
Multi-Chain NFT Gallery “Impossible Art Formula”
UniArts is native to Polkadot, and one of its strategic plans is to spread the NFT gallery to more popular blockchains, the first stop being Polygon. Mechanically, the gallery will be similar to the NPoS economic model but not identical.
- Six NFTs will be presented in each issuance, and users can pledge $UART or $WETH to vote on their favorite NFT.
- There are a total of 3 revenue pools, including a casting pool, a general pool, and a bonus pool. The bonus pool added to the gallery is unique in comparison to the NPoS model mentioned above. The casting pool is a pool in which $UART is minted into an NFT based on the percentage of votes received by the NFT. The general pool allocates rewards based on the proportion of user votes to the total number of votes in the corresponding NFT.
- At the end of each voting period, NFT owners have the option to participate in the next three-day auction. The bonus pool is allocated to the corresponding NFT according to the ratio of the price sold in the auction to the sum of all prices traded in the auction for that period. This pool is then allocated to users that voted in the general pool, as mentioned in (2).
- Specific details can be found in the following chart:
UARTs tokens are capped at 200 million, with 10% held by the team and released after 3 years, 12% by early stage investors, 10% by the treasury, and the rest by NFT vote mining, “Appreciate To Earn”.
“Impossible Art Formula” demonstrates the lack of a perfect solution in art valuation as everyone has their unique preferences. Let’s solve this by using $UART to appoint the “Hamlet” we fancy.
Concluding Remarks
UniArts has customized the NPoS economic model for NFT with an Appreciate To Earn mechanism based on the bottom-up source concept, which helps NFT discover its fair value. This value discovery fills an essential gap in applying NFT to traditional art and financial systems, paving a new path in crypto circles.
The impossible art formula is accessible now and will be online on 30th Sep.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
British Virgin Islands, 13th May 2026, ZEX PR WIRE — What separates an experimental AI agent from a truly capable one is its intelligence or the strength of its underlying model. Rather, it’s the strength of the underlying data. Clean, reliable, and comprehensive data is the foundational layer that makes autonomous action possible.
Data is the lifeblood of agents.
Today’s agents are quite capable. They are beginning to trade, interpret probabilistic markets, and interact directly with on-chain systems. However, agents can only act upon the data they receive, meaning the better the data, the better the decision-making.
That’s where Dataline comes in. Tearline is rebranding to Dataline, repositioning itself not only the most comprehensive data provider for agents but also as the most trustworthy, execution-grade data infrastructure for agents to act autonomously.
Unifying, not fragmenting
Crypto is a series of islands, each built using their own tech stack and communities. This poses additional integration complexity when trying to build capable AI agents in crypto. And as any crypto builder knows, the more complex the code, the more room for devastating errors.
Most systems today rely on fragmented data stacks. Hyperliquid SDK for perpetuals, Polymarket for probability signals, Coingecko for token metadata, and more….
Before an agent executes a single trade or reasoning step, it is already operating on top of a heavily engineered coordination system.
Dataline is designed to remove this layer of fragmentation by replacing it with a single structured execution interface for data-intensive agents.
Every single request returns:
-
Natural language intent
-
Structured cross-market output
-
Source attribution
-
Confidence scoring for execution risk
Better data, better decisions
AI agents need to consume data in a language they understand, not one built for humans.
At the core of Dataline is a deterministic pipeline that replaces ad hoc data orchestration:
Intent parsing → Route selection → Schema normalization → Multi-source aggregation → Structured output generation
This architecture converts natural language queries into consistent, cross-market financial outputs, designed specifically for agent-native environments.
Agents are quickly becoming real market participants, executing trades, transfers, and prediction markets. As a result, it is even more important that these agents have access to the best, most comprehensive data to power their decisions.
19.4M transactions as production validation
Dataline is already operating at a meaningful scale:
-
19.4M+ on-chain transactions processed
-
96.4% execution success rate
-
Coverage across BNB Chain, Sui, and TON
-
2.5M+ AI agent interactions via ChatPilot
Dataline is not a prototype; it’s the data lifeline already supporting production-level agent activity.
Confidence as a first-class primitive in crypto data systems
In crypto markets, a raw number is structurally incomplete.
BTC = 67,123 may appear identical across contexts, but the underlying reliability can vary dramatically depending on source quality, freshness, and market dispersion.
Without visibility into these factors, agents operate with false certainty.
Dataline addresses this through a confidence model defined as
Data agreement × source reliability × freshness
Each response is paired with a confidence score between 0 and 1, enabling agents to evaluate for themselves whether data is suitable for execution before acting on it—not after failure occurs.
Confidence is not a feature—it is a contract between data and execution logic.
All-in-one
Dataline consolidates previously siloed data domains into a single structured schema:
-
Crypto markets (spot, derivatives, funding rates)
-
On-chain state (balances, transactions, positions)
-
Prediction markets (Polymarket, Kalshi)
-
News and social signals (X, Farcaster)
-
Web2 APIs and long-tail data sources
Rather than increasing data volume, the focus is on ensuring coherence across execution environments, allowing agents to reason across price, position, sentiment, and narrative in a single request cycle.
Monetization scales with usage
Dataline is now live under its new branding, with developer access available for direct integration and testing. Its commercial model reflects the same shift toward autonomous systems:
-
Subscription tiers for predictable workloads
-
Pay-per-call crypto rails
-
Machine-to-machine micropayment infrastructure
The Dataline model is explicitly designed for machine-scale, high-frequency, usage-driven environments.
Data is no longer just information. Data is the lifeblood of AI agents, and Dataline is building the infrastructure to help agents prosper.
About Dataline
Dataline is building the Full-Chain AI Stack for Web3—composable, secure, and modular AI agents that perceive, reason, and execute across smart contracts, dApps, and traditional websites. Our three flagship products ChatPilot, GhostDriver, and FlowAgent are redefining how people interact with DeFi.
Website: dataline.xyz
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
British Virgin Islands, 13th May 2026, ZEX PR WIRE — What separates an experimental AI agent from a truly capable one is its intelligence or the strength of its underlying model. Rather, it’s the strength of the underlying data. Clean, reliable, and comprehensive data is the foundational layer that makes autonomous action possible.
Data is the lifeblood of agents.
Today’s agents are quite capable. They are beginning to trade, interpret probabilistic markets, and interact directly with on-chain systems. However, agents can only act upon the data they receive, meaning the better the data, the better the decision-making.
That’s where Dataline comes in. Tearline is rebranding to Dataline, repositioning itself not only the most comprehensive data provider for agents but also as the most trustworthy, execution-grade data infrastructure for agents to act autonomously.
Unifying, not fragmenting
Crypto is a series of islands, each built using their own tech stack and communities. This poses additional integration complexity when trying to build capable AI agents in crypto. And as any crypto builder knows, the more complex the code, the more room for devastating errors.
Most systems today rely on fragmented data stacks. Hyperliquid SDK for perpetuals, Polymarket for probability signals, Coingecko for token metadata, and more….
Before an agent executes a single trade or reasoning step, it is already operating on top of a heavily engineered coordination system.
Dataline is designed to remove this layer of fragmentation by replacing it with a single structured execution interface for data-intensive agents.
Every single request returns:
-
Natural language intent
-
Structured cross-market output
-
Source attribution
-
Confidence scoring for execution risk
Better data, better decisions
AI agents need to consume data in a language they understand, not one built for humans.
At the core of Dataline is a deterministic pipeline that replaces ad hoc data orchestration:
Intent parsing → Route selection → Schema normalization → Multi-source aggregation → Structured output generation
This architecture converts natural language queries into consistent, cross-market financial outputs, designed specifically for agent-native environments.
Agents are quickly becoming real market participants, executing trades, transfers, and prediction markets. As a result, it is even more important that these agents have access to the best, most comprehensive data to power their decisions.
19.4M transactions as production validation
Dataline is already operating at a meaningful scale:
-
19.4M+ on-chain transactions processed
-
96.4% execution success rate
-
Coverage across BNB Chain, Sui, and TON
-
2.5M+ AI agent interactions via ChatPilot
Dataline is not a prototype; it’s the data lifeline already supporting production-level agent activity.
Confidence as a first-class primitive in crypto data systems
In crypto markets, a raw number is structurally incomplete.
BTC = 67,123 may appear identical across contexts, but the underlying reliability can vary dramatically depending on source quality, freshness, and market dispersion.
Without visibility into these factors, agents operate with false certainty.
Dataline addresses this through a confidence model defined as
Data agreement × source reliability × freshness
Each response is paired with a confidence score between 0 and 1, enabling agents to evaluate for themselves whether data is suitable for execution before acting on it—not after failure occurs.
Confidence is not a feature—it is a contract between data and execution logic.
All-in-one
Dataline consolidates previously siloed data domains into a single structured schema:
-
Crypto markets (spot, derivatives, funding rates)
-
On-chain state (balances, transactions, positions)
-
Prediction markets (Polymarket, Kalshi)
-
News and social signals (X, Farcaster)
-
Web2 APIs and long-tail data sources
Rather than increasing data volume, the focus is on ensuring coherence across execution environments, allowing agents to reason across price, position, sentiment, and narrative in a single request cycle.
Monetization scales with usage
Dataline is now live under its new branding, with developer access available for direct integration and testing. Its commercial model reflects the same shift toward autonomous systems:
-
Subscription tiers for predictable workloads
-
Pay-per-call crypto rails
-
Machine-to-machine micropayment infrastructure
The Dataline model is explicitly designed for machine-scale, high-frequency, usage-driven environments.
Data is no longer just information. Data is the lifeblood of AI agents, and Dataline is building the infrastructure to help agents prosper.
About Dataline
Dataline is building the Full-Chain AI Stack for Web3—composable, secure, and modular AI agents that perceive, reason, and execute across smart contracts, dApps, and traditional websites. Our three flagship products ChatPilot, GhostDriver, and FlowAgent are redefining how people interact with DeFi.
Website: dataline.xyz
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
JOHANNESBURG, South Africa — South Africa’s online sports betting industry is entering a pivotal new phase. After years of rapid, mobile-driven growth, the sector is now facing increased regulatory scrutiny—most notably through the National Treasury’s proposed 20% national tax on gross gambling revenue (GGR).
The proposal, which closed for public comment in February 2026, is designed to both raise state revenue and address concerns around problem gambling. But its implications run far deeper. For operators, it introduces meaningful cost pressure. For punters, it could reshape the value of every bet placed online.
At its core, this is no longer just a tax debate—it’s about what the South African betting market will look like over the next decade.
A R75 Billion Industry at a Turning Point
South Africa’s gambling sector has expanded rapidly, with gross gambling revenue increasing from approximately R32 billion in 2019/20 to around R75 billion in 2024/25. Sports betting has been the primary driver of that growth, fuelled by:
- Widespread smartphone adoption
- Live and in-play betting markets
- Strong engagement with football, rugby, and cricket
- Aggressive acquisition strategies from bookmakers
The growth story extends beyond sports betting. Online casinos have emerged as a significant contributor to overall GGR, with players gravitating toward slots, live dealer tables, and instant-win games through the same mobile-first platforms that drove betting adoption. Operators like 10bet, ZarBet, Lucky Fish, PantherBet, and YesPlay have built out both verticals—offering sports betting and casino products under one roof—meaning the proposed tax, if enacted, would squeeze margins across the full spectrum of online gambling, not just the sportsbook.
Why the 20% GGR Tax Matters
The structure of the proposed tax is critical. Unlike a profit tax, it applies to gross gambling revenue—the portion bookmakers retain after paying out winnings, but before operational costs.
Given that sportsbook margins typically sit in the 5%–10% range, a 20% tax on GGR is not trivial. It effectively reduces operator margin at a structural level, forcing adjustments elsewhere in the business.
Those adjustments rarely happen in isolation.
How the Market Is Likely to Respond
Operators faced with higher costs tend to respond in predictable ways—not dramatically overnight, but gradually and consistently.
Punters are likely to notice changes in three key areas:
- Odds and pricing: Margins may tighten slightly, particularly on high-volume markets like football and horse racing
- Promotions: Welcome bonuses, free no deposit bonus, free spins no deposit and odds boosts may become less frequent or less generous
- Bonus conditions: Wagering requirements and terms may become stricter to manage risk
Individually, these shifts may seem minor. Collectively, they reduce long-term betting value—especially for regular bettors.
“We’re already seeing punters ask harder questions about value,” said Dennis Kumar, analyst at Betting.za.com. “When the promotional environment tightens, the bettors who understand margins and shop across bookmakers will have a real edge over those who don’t.”
The Risk of Unintended Consequences
The policy goal behind the tax is clear: curb harmful gambling behaviour while ensuring the state captures a fair share of industry revenue.
However, there is a well-documented risk in global markets: over-taxation can weaken the regulated ecosystem.
If licensed bookmakers become less competitive, some bettors may drift toward offshore platforms that:
- Do not pay local taxes
- Operate outside South African regulation
- Offer fewer consumer protections
This creates a paradox. A policy designed to strengthen oversight can, if miscalibrated, push activity into less controlled environments.
Regulation Needs More Than Taxation
A sustainable betting market is rarely built on taxation alone. Effective regulation typically combines multiple levers, including:
- Responsible gambling tools such as deposit limits and self-exclusion
- Enforcement against illegal and offshore operators
- Clear advertising and promotional standards
- Transparency around bonus terms and pricing
The challenge for South Africa is finding the balance between consumer protection and market competitiveness.
What This Means for Punters
For everyday bettors, the shift will be gradual but meaningful.
The era of aggressive promotions and high-value bonuses may begin to taper, replaced by a more measured, efficiency-driven market. Odds may become slightly sharper, and value harder to find.
According to analysis from Betting.za.com, this shift places greater emphasis on informed betting. Comparing bookmakers, understanding margins, and evaluating the real value behind offers will become more important than simply chasing bonuses.
In other words, the advantage may shift from promotions to knowledge.
Where the Market Goes From Here
The proposed 20% GGR tax represents more than a fiscal policy—it marks a transition point for the South African betting industry.
The market is likely to become:
- More regulated
- More consolidated
- Less promotion-driven
- More focused on long-term sustainability
Whether that transition ultimately benefits or harms punters will depend on how well policy is implemented—and how effectively the regulated market remains competitive.
One thing is clear: the future of online sports betting in South Africa will look very different from its past.
We Recommend the punter to try the following sports betting sites:
|
# |
SportsBetting |
Welcome Bonus Package |
Bonus Code |
|
1 |
Free Spins & Free Bets Up To R5,000 |
N/A |
|
|
2 |
50 Free Spins on Big Blue Fishing |
50BBF |
|
|
3 |
R25 Free Bet + 50 Free Spins |
On Sign-Up |
|
|
4 |
50 Free Spins Bonus + R22,000 High-Roller Bonuses Over 3 Deposits. |
HIPANTHER |
|
|
5 |
100% bonus up to R3,000 |
N/A (Automatic) |
|
|
6 |
30 Free Spins On Sign-Up + R35,000 Welcome Bonus |
JABULA30 |
|
|
7 |
R25 Free Bet On Sign Up |
On Registration |
About Betting.za.com
Betting.za.com is South Africa’s leading authority on legal online betting sites, covering bookmaker reviews, sports betting trends, regulatory developments, and market analysis. As the regulatory landscape evolves, the platform helps punters compare licensed operators, understand their rights, and make more informed decisions with confidence.
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Tearline Rebrands to Dataline, the Data Lifeline for Autonomous AI Agents
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