Chromia’s EVAL by Virtuals market snapshot:
Price $0.00039102, market capitalization $391.02K,
and reported 24-hour volume $1.05K.
Trading activity:
Reported 24-hour volume equals 0.27% of market capitalization. The local markets snapshot lists Uniswap V2 (Base) among venues with observed trading activity.
YearBull indicators:
YearBull Rank #1,534. Bull Score 63/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h 6.44% · 7d 42.24% · 30d 4.99%.
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 Chromia’s EVAL by Virtuals (EVAL)?
Source description
“We present EVAL Engine (Evaluation Validation Architecture), a decentralized framework for evaluating AI agents with a focus on crypto-native agents through verifiable real-time assessments and continuous learning capabilities. Our system utilizes Chromias gas-free relational blockchain architecture to enable transparent, immutable, and cost-effective evaluation of AI agent performance. The system incorporates multiple LLM-as-a-judge[1] and social engagement metrics for continuous reinforcement learning via feedback loop and reward system. We demonstrate EVAL Engine can achieve efficient, secure evaluations while adapting to evolving performance standards through engagement-driven feedback loops. We also present a comprehensive roadmap for the development of EVAL Engine, including API development, data preparation, model development, and model deployment.”
This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.
Chromia’s EVAL by Virtuals (EVAL) project facts
Source tags: Analytics, Base Ecosystem, AI Applications, Virtuals Protocol Ecosystem, Robotics
Recorded networks: Base
Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.
Chromia’s EVAL by Virtuals (EVAL) FAQ
How does EVAL Engine assess the performance of crypto-native AI agents?
EVAL Engine presents a decentralized framework for evaluating crypto-native AI agents through verifiable, real-time assessments. The project says its approach combines multiple large-language-model judges with social engagement metrics, allowing performance feedback to be collected continuously rather than through a single fixed assessment. The framework is positioned as a way to support changing performance standards and ongoing learning.
What role does Chromia’s relational blockchain architecture play in EVAL Engine?
The project states that EVAL Engine uses Chromia’s gas-free relational blockchain architecture to support transparent, immutable, and cost-effective evaluations. This architecture is presented as a way to record assessment activity with verifiable results while avoiding gas charges within the described evaluation process. The project does not specify the full transaction model or how the architecture connects with other networks.
How are multiple LLM judges and social engagement metrics used together?
EVAL Engine combines assessments from multiple large-language-model judges with social engagement metrics. The project presents this combination as a broader way to evaluate an agent, pairing model-based judgments with signals reflecting audience or community interaction. These inputs are intended to contribute to continuous feedback loops and rewards, although the project does not specify the exact weighting, scoring formula, or moderation process.
How does EVAL Engine support continuous learning and feedback?
The project says EVAL Engine uses feedback loops and a reward system to support continuous reinforcement learning. Assessments and engagement signals are intended to produce recurring feedback, helping evaluations adapt as performance expectations change. The framework is therefore positioned as an ongoing process rather than a one-time ranking exercise. Specific reward amounts, distribution rules, and learning procedures are not specified.
What development stages does the EVAL Engine roadmap include?
The roadmap presented for EVAL Engine includes API development, data preparation, model development, and model deployment. These stages indicate a planned progression from building access interfaces and organizing evaluation inputs to creating models and putting them into operation. The project does not specify delivery dates, implementation milestones, or the final capabilities associated with each stage.
Chromia's EVAL by Virtuals metric comparison
This comparison is a stored snapshot generated 2026-10-23 06:31 UTC from 292 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
$0.00030008
$0.00029681
$0.00033439
+1.1%
n/a
Market cap
$300.1K
$296.8K
$334.4K
+1.1%
P50.9
YearBull Rank
#3,593
#8,327
#4,466
Improved 4,734
P57.9
Bull Score
49/100
23/100
54/100
+26.0 pts
P48.0
Turnover
1.33%
1.87%
0.01%
-0.5 pts
P60.0
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Early
Early
Mid
Unchanged
n/a
Median absolute daily movement 3.33%; distance from the highest local daily price -72.9%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.
YearBull Rank context
Most recent YearBull Rank reading for chromia-s-eval-by-virtuals is #1534.
Rank timeline (last 365 days)
Rank change (nearest points).
Reading rule: smaller rank numbers are better.
7d window (2026-10-21): #6794 → #1534 (up by 5260).
30d window (2026-09-28): #5767 → #1534 (up by 4233).
Stability posture: a stable slope can beat a flashy month.
Venue angle: improvement with higher churn can be a rotation phase.
Flow read: peer movement can shift relative placement even without news.
Trend context: a quick bounce can still be a mean-reversion phase.
YearBull Rank is a relative placement score used on YearBull to compare a coin against peers within the same dataset. Lower values mean higher placement in the YearBull ordering.
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.
