SwarmNode.ai (SNAI) on Solana market snapshot:
Price $0.001336, market capitalization $1.33M,
and reported 24-hour volume $76.23K.
Trading activity:
Reported 24-hour volume equals 5.71% of market capitalization. The local markets snapshot lists BitKan and Raydium among venues with observed trading activity.
YearBull indicators:
Bull Score 0/100.
YB Market Risk —. This relative market-volatility label is not an investment-safety assessment.
Observed price change: 24h 0.00% · 7d -18.07% · 30d -46.09%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-01-03.Data history: 5 daily observations 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 SwarmNode.ai (SNAI) on Solana?
Source description
“SwarmNode enables running AI agents in the cloud without managing servers. An agent can be executed via the UI, REST API and Python SDK. Agents can invoke each other and act as a swarm. After an agent finishes its task, it hibernates and waits for the next task. An agent can also process data, store it in a shared database and let other agents pick it up and process it further. SwarmNode aims to be a one-stop shop for creating, configuring and deploying AI agents.”
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.
SwarmNode.ai (SNAI) on Solana FAQ
How can users run SwarmNode agents without managing servers?
SwarmNode positions its platform as a cloud environment for running AI agents without requiring users to operate or maintain servers. The project says agents can be launched through a graphical user interface, a REST API, or a Python software development kit, giving users several ways to configure and execute agent workloads.
What does SwarmNode mean by agents operating as a swarm?
The project states that one agent can invoke another, allowing multiple agents to cooperate on a broader task. This swarm model is presented as a way for specialized agents to pass work between one another rather than requiring a single agent to handle every step independently.
How does SwarmNode handle agents between tasks?
According to the project, an agent hibernates after completing its task and waits for another task to arrive. This operating model is intended to keep an agent available for later work while avoiding the need for it to remain actively processing after its current assignment has ended.
How can SwarmNode agents pass work through shared storage?
SwarmNode says an agent can process data, place the result in shared storage, and allow another agent to retrieve it for further processing. This creates a sequential workflow in which separate agents can contribute different stages of a task, rather than relying on one agent to complete the entire operation.
Which tools does SwarmNode present for creating and deploying agents?
The project describes itself as a single destination for creating, configuring, and deploying AI agents. Its stated access options include a user interface, REST API, and Python SDK, suggesting support for both interactive use and programmatic workflows. The project does not specify the full range of configuration options or supported integrations.
SwarmNode.ai metric comparison
This comparison is a stored snapshot generated 2026-10-23 06:31 UTC from 5 daily observations available from 2025-12-30 through 2026-01-03. 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
$0.001336
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Market cap
$1.33M
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P31.3
YearBull Rank
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Bull Score
n/a
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Turnover
5.71%
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P63.3
YB Market Risk
n/a
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Cycle
n/a
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Median absolute daily movement 0.63%; distance from the highest local daily price -6.0%. These measurements are descriptive and do not predict future direction.
YearBull Rank context
Most recent YearBull Rank reading for swarmnode-ai is #3997.
Rank timeline (last 365 days)
Rank change (reference points).
Reading rule: lower is better in this ranking.
7d window: no reference point available.
30d window: no reference point available.
YearBull Rank is an internal ordering on YearBull that positions a coin relative to the rest of the tracked universe. Lower rank numbers indicate stronger placement in the current snapshot.
Risk angle: short bursts do not always translate into durable placement. If the curve whipsaws, treat the rank as fragile.
Cycle placement: phase changes usually leave a footprint in consistency. If both are flat, the coin may be tracking its peer basket.
Liquidity read: deep markets usually produce smoother rank paths. If the line drifts, liquidity may be gradually shifting.
Exchange footprint: one venue can dominate the profile in short windows. If rank can’t hold gains, it can be concentrated pressure.
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: 2026-07-26. Updated on a rolling basis; no fixed refresh date is promised. Venue listings and volumes are stored snapshots, not live quotes.
Current YearBull daily analytics are not available for this asset yet; market listings have separate freshness.
