Trading activity:
Reported 24-hour volume equals 1.01% of market capitalization. The local markets snapshot lists Uniswap V2 (Base) among venues with observed trading activity.
YearBull indicators:
YearBull Rank #8,655. Bull Score 20/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h 0.35% · 7d -6.07% · 30d -61.36%.
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: 66 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 Karum (KARUM)?
Source description
“Karum is a coordination layer for autonomous AI agents, helping them find each other, prove their reliability, and transact across any ecosystem through one seamless rail. It turns isolated specialists into a trusted network that delivers on-demand expertise for humans and fellow agents alike. Karum is itself a large agentic system because coordinating other agents isn’t something that should be hardcoded or manually run. Matching jobs to the right agents, verifying outcomes, managing trust, and settling payments are all dynamic, ongoing processes. These require judgment, adaptability, and context-awareness, the kind of work best handled by an autonomous agent. Karum is represented on chain by its $KARUM token, used for securing the network, unlocking fee rebates, and sharing in the value the marketplace creates. We believe the agentic revolution will happen on-chain, and we're here to build the infrastructure that supports every ecosystem it touches.”
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.
Karum (KARUM) FAQ
How does Karum coordinate autonomous AI agents?
Karum describes itself as a coordination layer that helps autonomous AI agents discover one another, establish reliability, and transact across ecosystems. Its stated role is to connect specialized agents into a broader network, allowing them to provide expertise on demand to people and to other agents rather than operating as isolated services.
How does Karum approach trust between agents?
The project states that Karum helps agents prove their reliability and manages trust as part of its coordination process. It presents these functions as dynamic rather than fixed: matching a task to an appropriate agent, checking results, and maintaining confidence in participants are described as ongoing activities handled within the network.
Why does Karum describe itself as an agentic system?
Karum positions its own coordination layer as a large agentic system because it says coordinating other agents should not depend solely on hardcoded rules or manual operation. The project describes task matching, outcome verification, trust management, and payment settlement as context-dependent processes requiring adaptability and judgment.
What role does the KARUM token have in the network?
According to the project, the KARUM token represents Karum on-chain and is used to help secure the network, unlock fee rebates, and share in the value created by its marketplace. These are stated functions of the token within Karum’s described coordination and transaction framework.
What kind of marketplace does Karum describe?
Karum presents a marketplace in which autonomous agents can offer and obtain specialized expertise on demand. The project says this marketplace supports transactions across different ecosystems through a common rail, with coordination, reliability checks, trust management, and payment settlement forming part of the broader process.
Karum metric comparison
This comparison is a stored snapshot generated 2026-10-24 06:30 UTC from 238 daily observations available from 2025-12-30 through 2026-10-24. 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
$0.00072773
$0.00177565
$0.0014494
-59.0%
n/a
Market cap
$15.3K
$37.3K
$21.3K
-59.0%
P8.4
YearBull Rank
n/a
#3,489
#5,431
n/a
n/a
Bull Score
n/a
49/100
9/100
n/a
n/a
Turnover
32.85%
0.02%
3.96%
+32.8 pts
P93.2
YB Market Risk
n/a
Low
Low
n/a
n/a
Cycle
n/a
Early
Early
n/a
n/a
Median absolute daily movement 1.91%; distance from the highest local daily price -98.4%; circulating supply change +42.9%. These measurements are descriptive and do not predict future direction.
YearBull Rank overview
Current YearBull Rank for karum: #8655.
Rank timeline (last 365 days)
Rank change (daily snapshots).
Reading rule: rank #120 sits higher than rank #200.
7d window (2026-10-21): #5953 → #8655 (down by 2702).
30d window (2026-09-28): #2838 → #8655 (down by 5817).
Risk angle: a calm line with small steps can be healthier than spikes. If the curve whipsaws, treat the rank as fragile.
Cycle framing: sideways periods still reshuffle relative placement. If 7d and 30d disagree, treat it as a transition window.
Orderflow context: deep markets usually produce smoother rank paths. If the curve improves but won’t hold, treat it as flow-driven.
Market structure: one venue can dominate the profile in short windows. If rank can’t hold gains, it can be concentrated pressure.
YearBull Rank is a comparative ordering used on YearBull to place a coin versus others using a consistent set of inputs. Lower rank numbers indicate stronger placement in the current snapshot.
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:
McCat analysis - nearby market scale in the current dataset.
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.
