CAESAR market snapshot:
Price $0.00104984, market capitalization $1.05M,
and reported 24-hour volume $6.85K.
Trading activity:
Reported 24-hour volume equals 0.65% of market capitalization. The local markets snapshot lists Meteora DAMM V2, Aerodrome SlipStream and Meteora among venues with observed trading activity.
YearBull indicators:
YearBull Rank #5,570. Bull Score 67/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h -31.16% · 7d 54.53% · 30d 10.36%.
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: 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 CAESAR?
Source description
“Caesar is the world's most trusted AI research platform, built for those tackling humanity's most challenging problems. Through novel verification architectures and citation-backed methodology, Caesar delivers accurate, reliable research at scale. Our platform serves professionals who require precision without compromise, accessible via user interface or developer API. Founded by crypto-native engineer and Co-founder of Spark and Megapont, Mark McKenzie, Caesar emerged from the recognition that AI systems optimized for eloquence over accuracy produce polished guesses instead of verifiable truth. Caesar represents the convergence of crypto-native principles and rigorous AI engineering, delivering the reliability and transparency demanded by those who operate where the cost of error is unforgiving.”
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.
CAESAR FAQ
How does Caesar say it improves the reliability of AI research?
The project says Caesar uses novel verification architectures and a citation-backed methodology to support more accurate and reliable research. It positions this approach as an alternative to systems that prioritize fluent writing over factual precision, while noting that the platform is intended for work where errors can carry significant consequences.
Who is Caesar’s research platform intended to serve?
Caesar presents its platform for professionals handling difficult research tasks who require a high level of precision. It says the service is built for people addressing challenging human problems and for users operating in settings where polished but unverifiable answers may not be sufficient.
How can users access Caesar’s platform?
The project states that Caesar can be accessed through a user interface or a developer API. This gives direct users a platform-based experience while allowing developers to connect the research capabilities with their own software or workflows, although the project does not specify the API’s pricing, limits, or technical documentation here.
What role do citations play in Caesar’s stated methodology?
Caesar says its methodology is citation-backed, linking its research approach with traceability and the ability to examine the basis for conclusions. The project presents citations as part of a broader effort to make outputs more dependable and transparent, but it does not specify the citation format, validation process, or coverage across different research topics.
Which principles does Caesar say shape its approach to AI engineering?
The project positions Caesar as a combination of crypto-native principles and rigorous AI engineering. It says this combination is intended to support transparency, verification, and dependable research at scale, reflecting a focus on accountability rather than eloquence alone. The project does not detail the specific technical architecture or governance procedures behind those principles.
Caesar metric comparison
This comparison is a stored snapshot generated 2026-10-22 06:31 UTC from 292 daily observations available from 2025-12-30 through 2026-10-22. 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
$0.00083893
$0.00107407
$0.00098181
-21.9%
n/a
Market cap
$836.8K
$1.07M
$979.4K
-21.9%
P62.9
YearBull Rank
#5,087
#4,605
#6,474
Lower by 482
P40.3
Bull Score
37/100
37/100
17/100
0.0 pts
P30.1
Turnover
0.10%
0.01%
0.21%
+0.1 pts
P29.8
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Early
Early
Early
Unchanged
n/a
Median absolute daily movement 6.08%; distance from the highest local daily price -84.6%; circulating supply change -0.2%. These measurements are descriptive and do not predict future direction.
Editorial research. Identity, project facts, sources, and risks below belong to the dated editorial review. The live analytical snapshot above may be newer and is generated separately from stored market data.
Caesar (CAESAR) is tracked under the source identifier caesar; captured categories: Artificial Intelligence (AI), Solana Ecosystem, Base Ecosystem; recorded networks: solana, base.
Limits and open questions
No reliable primary source or Solana contract was matched to the exact CAESAR asset.
Primary identity unresolved
YearBull Rank context
Current YearBull Rank for caesar: #5570.
Rank timeline (last 365 days)
Rank change (nearest points).
Reading rule: a smaller rank number indicates stronger placement.
7d window (2026-10-20): #7838 → #5570 (up by 2268).
30d window (2026-09-27): #7033 → #5570 (up by 1463).
YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. Lower values mean higher placement in the YearBull ordering.
Liquidity context: a quiet tape can still re-rank the pack.
Venue read: a broader footprint often smooths the rank trajectory.
Risk read: the same move can be stable in one market and fragile in another.
Market phase: recent movement can fit a transition rather than a clean trend.
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:
Venue refresh pending. Markets last checked: 2026-07-26. The next refresh is queued in the hourly updater. Venue listings and volumes are stored snapshots, not live quotes.
