All the latest news and key insights you need from TAGGER
What Is Tagger?
1. What Is Tagger?
Tagger (ticker $TAG) is a decentralized AI data-infrastructure platform built on the BNB Chain. It enables crowdsourcing of data collection, annotation, verification, and trading for machine-learning and AI projects via a blockchain-native model. :contentReference[oaicite:0]{index=0}
2. Why Tagger Was Created
The production of high-quality AI datasets is expensive, slow, and centralized. Many AI workflows rely on silos, manual annotations, and opaque verification. Tagger was created to address these issues by:
Decentralizing data annotation and collection, allowing global contributors to participate. :contentReference[oaicite:1]{index=1}
Providing on-chain provenance for data, verification of work, and transparent payments via smart contracts. :contentReference[oaicite:2]{index=2}
Creating a marketplace where data is not locked in silos, but can be labeled, traded and monetized across borders. :contentReference[oaicite:3]{index=3}
3. How Tagger Works
An enterprise or AI project creates a task request for data collection or annotation (e.g., images, video, voice). :contentReference[oaicite:4]{index=4}
Contributors sign up and complete the tasks using Tagger’s tools (including its AI Copilot for annotation assistance), and their work is logged on-chain for transparency. :contentReference[oaicite:5]{index=5}
A review or verification layer evaluates the completed work to ensure quality; smart contracts then release payment in $TAG (or associated stablecoins) to the contributor. :contentReference[oaicite:6]{index=6}
The labelled and verified data is packaged, and optionally listed on Tagger’s decentralized marketplace for reuse, licensing or trade — enterprises or AI projects access it using $TAG. :contentReference[oaicite:7]{index=7}
Token and protocol incentives align contributors, reviewers and enterprises: $TAG is used for payments, staking, governance, and access to the ecosystem. :contentReference[oaicite:8]{index=8}
4. Key Features of Tagger
Permissionless data contributor model: Contributors from anywhere can participate. :contentReference[oaicite:9]{index=9}
Blockchain-based provenance for data ownership and verifiable contributions. :contentReference[oaicite:10]{index=10}
AI-assisted annotation tools (AI Copilot) to improve contributor efficiency and quality. :contentReference[oaicite:11]{index=11}
Decentralised marketplace for data sets, licensing and trading using smart contracts. :contentReference[oaicite:12]{index=12}
Token-driven incentives: $TAG used for rewards, payments, staking, governance and buy-backs. :contentReference[oaicite:13]{index=13}
Individuals who want to contribute data labeling, collection or annotation work and earn $TAG rewards. :contentReference[oaicite:15]{index=15}
AI developers, enterprises and research teams needing scalable, high-quality training datasets and a marketplace for data sets. :contentReference[oaicite:16]{index=16}
Data marketplace participants looking to license or trade labelled datasets via smart contracts. :contentReference[oaicite:17]{index=17}
Token holders who want to stake $TAG, participate in governance, and align with the growth of a data-infrastructure ecosystem. :contentReference[oaicite:18]{index=18}
6. What Is the $TAG Token?
$TAG is the native token of the Tagger ecosystem, and it serves several functions: :contentReference[oaicite:19]{index=19}
Incentives & Rewards: Contributors earn TAG tokens for completing data tasks (collection, labeling, review). :contentReference[oaicite:20]{index=20}
Payments: Enterprises and clients pay for data services, dataset access, and marketplace trades using TAG. :contentReference[oaicite:21]{index=21}
Governance: TAG holders can participate in direction of the protocol, governance proposals and ecosystem decisions. :contentReference[oaicite:22]{index=22}
Supply & Metrics: Circulating supply is over 108 billion TAG and total supply is around 405.38 billion TAG. :contentReference[oaicite:23]{index=23}
Utility & Value Alignment: As the data-infrastructure ecosystem grows with enterprises and contributors, demand for TAG may increase, aligning token value with usage. :contentReference[oaicite:24]{index=24}
Social Pulse
Bearish50%
Bullish50%
ParlayPoint@ParlayPoint
⋯
More Tennis Picks for Today 🎾 (these ones are more questionable)
Dino Prizmic ML -275
Tamara Korpatsch ML +176
Lilli Tagger ML -166
Tristan Schoolkate ML +148
Luca Nardi ML +116
Alexandrova / Joint ML -102
Sorana Cirstea 2-0 -130
Emma Raducanu 2-0 -180
#GamblingX #FreePicks
cexscan@cexscan
⋯
Last 60m - #Binance Futures (USDT Trades)
📈 Top 3 Gainers:
$TAG (Tagger) : ↑7.55%
$ZK (zkSync) : ↑7.06%
$XRP (XRP) : ↑6.15%
📉 Top 3 Losers:
$我踏马来了 (我踏马来了) : ↓-9.36%
$SKR : ↓-7.07%
$BULLA (Bulla) : ↓-6.5%
📶 Top 3 by Volume:
$BTC (Bitcoin) : 296.06M
$ETH (Ethereum) : 146.74M
$USDC (USDC) : 77.34M
🔥 Top 3 by Vol. Change:
$AAVE (Aave) : 35.91%
$FDUSD (First Digital USD) : 13.67%
$WIF (Dogwifhat) : 13.45%
🔄 Top 3 Most Traded:
$BTC (Bitcoin) : 579111 trades
$ETH (Ethereum) : 434413 trades
$XRP (XRP) : 418187 trades
#Crypto
PB Tennis@Probahis
⋯
WTA Mumbai
Tagger Lilli vs Semenistaja Darja
🧠 Form & Context
🇦🇹 Lilli Tagger (#128, right-handed; one-handed backhand)
📈 2026: 10–2 | Hard: 10–2
✅ Mumbai: beat Adkar (7-5 6-4) + Shimizu (6-2 6-2)
🔥 Confidence spike: arrives off an ITF title run in Fujairah and has been stacking straight-set wins
💥 Hard-52 profile edge: higher Hold% and more dominant overall DR*A in the last-52 sample provided
🇱🇻 Darja Semenistaja (#99, left-handed)
📉 2026: 4–4 | Hard: 4–4
✅ Mumbai: beat Cherubini (6-3 6-1) + Hontama (6-4 7-6)
🏆 Tournament comfort: Champion here in 2024, early exit in 2025, now back in the QF again
🩹 Past retirements noted (2024 BJK Cup, 2025 Doha) — fitness isn’t a constant red flag, but it’s part of the backdrop
🔍 Match Breakdown
Serve + first-strike vs lefty patterns: Tagger’s hard-court profile (stronger hold/1st-serve efficiency in the shared 52-week block) suggests she can win a lot of “routine” service games and keep scoreboard pressure on. Semenistaja’s lefty serve + wide patterns can still disrupt rhythm, especially if she gets Tagger hitting on the stretch into the ad-court.
Return pressure favors Tagger if rallies lengthen: The data block leans Tagger on both break% and overall point-share. If she starts getting looks on Semenistaja’s second serve, this can turn into repeated deuce games where the underdog has to keep escaping.
Experience vs momentum: Semenistaja has more tour seasoning and knows these courts, but Tagger’s current run is the bigger indicator — she’s playing with “up-the-line” confidence and backing it with clean holds.
🔮 Prediction
Tagger has earned favorite status here: better recent form, a stronger hard-court dominance profile in the shared numbers, and the kind of serve stability that makes it tough for Semenistaja to build sustained scoreboard runs. The Latvian lefty can keep this close if she lands enough first serves and drags Tagger into extended backhand exchanges, but over two sets the steady pressure should tilt Tagger’s way.
Pick: Tagger