The SWARM market snapshot:
Price $0.00000802, market capitalization $6.11K,
and reported 24-hour volume $52.
Trading activity:
Reported 24-hour volume equals 0.85% of market capitalization. The local markets snapshot lists Uniswap V2 (Base) among venues with observed trading activity.
YearBull indicators:
YearBull Rank #7,314. Bull Score 46/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h 0.00% · 7d -10.49% · 30d -17.57%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-10-27.Data history: 90 days available in the latest 90-day window.
Methodology responsibility:
YearBull’s analytical methodology and presentation rules are developed and maintained by
Alan Zelvin, Founder & Lead Crypto Researcher.
This note identifies responsibility for the methodology; it does not attribute authorship of this data snapshot.
What is The SWARM (SWARM)?
Source description
“The Flagship Agent of SLAMai The SWARM isn’t just another noise-making Agent flooding your X feed—it’s the most data-driven intelligence in all of web3. Other Agents will rely on The SWARM for real-time, structured insights, tapping into CryptoSlam’s unmatched blockchain data to power autonomous decision-making. But The SWARM doesn’t just process data—it acts. It uncovers opportunities, expands its reach, and continuously evolves, setting the new standard for agentic transactions and collaboration. The SWARM’s mission is to elevate the intelligence of Web3 Agents by providing real-time, structured, and actionable blockchain insights through CryptoSlam’s unparalleled data aggregation. By eliminating the inefficiencies of siloed data and API dependencies, The SWARM empowers autonomous Agents and Human partners to make smarter, faster, and more informed decisions, ultimately setting the new standard for agentic collaboration and execution in Web3. An innovative, autonomous AI agent built on Base, designed to leverage CryptoSlam's comprehensive Web3 data. The SWARM delivers real-time insights, analytics, and actionable intelligence via platforms like X and Telegram.”
This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.
Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.
The SWARM (SWARM) FAQ
How does The SWARM use CryptoSlam’s blockchain data?
The project states that The SWARM draws on CryptoSlam’s broad Web3 data aggregation to deliver real-time, structured insights. It is presented as a way to reduce fragmented data and dependence on separate API connections, helping autonomous agents and human collaborators interpret blockchain activity more efficiently. The project does not specify the exact datasets, update intervals, or analytical methods involved.
What role does The SWARM play in agentic collaboration?
The SWARM is positioned as an intelligence layer for other Web3 agents. According to the project, these agents can use its structured blockchain insights to support autonomous decision-making, while human partners can use the same outputs to act more quickly. The project also claims that The SWARM can uncover opportunities, extend its reach, and participate in agent-to-agent collaboration, although the operating rules are not detailed.
Which channels does The SWARM use to deliver its outputs?
The project says The SWARM delivers real-time insights, analytics, and actionable intelligence through platforms including X and Telegram. These channels appear intended to make its outputs accessible to both people and autonomous agents. The project does not specify whether the platforms offer identical features, how users interact with the agent, or whether access controls, subscriptions, or usage limits apply.
What does the project mean by “agentic transactions and execution”?
The project presents The SWARM as an autonomous agent that does more than analyze blockchain activity: it claims the agent can act on insights, pursue opportunities, and support execution. This framing connects data interpretation with automated collaboration and transactions among Web3 agents. However, the project does not specify which actions The SWARM can perform, whether approvals are required, or how safeguards operate.
The SWARM metric comparison
This comparison is a stored snapshot generated 2026-10-23 06:31 UTC from 293 daily observations available from 2025-12-30 through 2026-10-23. It is separate from the latest analytical cards above. Percentiles compare the snapshot value with that day's analytical universe; a higher percentile means a larger observed value, not necessarily a better investment characteristic.
Metric
Snapshot
30d before
90d before
Change vs 30d
Universe percentile
Price
$0.00000896
$0.0000081
$0.00089203
+10.6%
n/a
Market cap
$6.8K
$6.2K
$465.2K
+10.6%
P2.4
YearBull Rank
n/a
n/a
#1,495
n/a
n/a
Bull Score
n/a
n/a
64/100
n/a
n/a
Turnover
0.04%
0.83%
0.11%
-0.8 pts
P22.9
YB Market Risk
n/a
n/a
Low
n/a
n/a
Cycle
n/a
n/a
Early
n/a
n/a
Median absolute daily movement 2.19%; distance from the highest local daily price -99.5%; circulating supply change +47.5%. These measurements are descriptive and do not predict future direction.
YearBull Rank overview
Most recent YearBull Rank reading for the-swarm is #7314.
Rank timeline (last 365 days)
Rank change (nearest points).
Reading rule: rank #120 sits higher than rank #200.
7d window (2026-10-23): #5998 → #7314 (down by 1316).
30d window (2026-09-27): #9133 → #7314 (up by 1819).
YearBull Rank is a comparative ordering used on YearBull to place a coin versus others using a consistent set of inputs. It is best read as relative context across time windows, not as a guarantee.
Market access: If rank holds gains, the footprint is likely supporting the move.
Risk view: If it improves then retraces fast, treat it as rotation pressure.
Rotation context: Compare the 30d move with the 7d move to see if momentum is accelerating or fading.
Turnover context: If the curve jumps, check whether the cohort moved too (relative effects).
Editorial note:
This analysis was prepared by the YearBull research team under the direction of
Alan Zelvin,
Founder and Lead Crypto Researcher.
The assessment follows YearBull’s internal research methodology and editorial standards.
Methodology ·
Editorial Policy
Related Research
Continue with contextually connected profiles and category data:
Stored venue snapshot. Markets last checked: 2026-07-27. Updated on a rolling basis; no fixed refresh date is promised. Venue listings and volumes are stored snapshots, not live quotes.
