crypto-analyzer --dashboard --coin=cluster
Loading coin data for: CLSTR
Cluster logo

Cluster (CLSTR)

market_cap_rank: 5105 | coingecko_rank: null
Current Price
get_current_price()
$0.00 +3.38%
24h_range: $0.00 - $0.00
Price Changes
get_price_changes()
24h
+3.38%
7d
+12.35%
14d
-2.81%
30d
+94.96%
Market Data & Supply
get_market_data()
market_cap
$413088
fully_diluted_valuation
$413088
volume_24h
$173
get_supply_info()
circulating_supply
1000000000
total_supply
1000000000
max_supply
1000000000
All-Time Records
get_ath_data()
All-Time High
$0.00
change: -52.98%
date: 2025-07-05
get_atl_data()
All-Time Low
$0.00
change: +109.51%
date: 2025-06-26
About Cluster
get_description()
Decentralized AI: Super Swarm of Models. Fine-tuning is the core of our Decentralized AI Super Swarm! We're building a decentralized AI ecosystem where a super swarm of specialized, smaller models collaborates to perform complex tasks, coordinated through a community-driven, modular architecture and governed by DAOs that manage LLM weights. This approach sidesteps the resource-intensive, monolithic LLMs of centralized giants, offering asymmetric advantages in efficiency, innovation, and community engagement. A "super swarm" refers to a decentralized network of AI models, each specialized for specific tasks or domains, that collaborate to perform complex, multi-step tasks. Unlike a single, general-purpose LLM (e.g., GPT-4), which handles diverse tasks within one model, a super swarm distributes intelligence across many smaller models, coordinated through a decentralized protocol. This mimics biological swarms (e.g., ant colonies), where simple agents collectively achieve sophisticated outcomes. Users & creators fine-tune models or contribute datasets, earning rewards for their work — think data curation, model training, or testing.
Additional Information
get_basic_info()
categories
Saga Ecosystem
get_dev_stats()
get_community()
twitter
Historical Data Visualization
Chart data loaded successfully. Displaying historical metrics.
Related Cryptocurrencies
get_related_coins() --limit=10 --exclude=cluster