DOLR AI market snapshot:
Price $0.00034101, market capitalization $239.77K,
and reported 24-hour volume $8.
Trading activity:
Reported 24-hour volume equals 0.00% of market capitalization.
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 0.00% · 30d <0.01%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-03-10.Data history: 52 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 DOLR AI (DOLR)?
Source description
“Decentralised Open Ledger for Responsible Social Cloud or DOLR AI is a blockchain-powered infrastructure which provides a comprehensive and seamless platform for companies, developers, and users to build, scale, and innovate in a decentralised ecosystem. Built as a Layer 2 solution on the Internet Computer Protocol (ICP), DOLR AI extends ICP’s capabilities to create a decentralised, user-owned social cloud. Each user is assigned a dedicated canister, ensuring autonomous data ownership, execution, and interaction while benefiting from ICP’s serverless and scalable infrastructure. By networking these user-owned canisters, DOLR AI forms a dynamic and scalable social graph—a decentralised ecosystem that currently connects over 500,000 users, enabling seamless interaction while ensuring privacy, security, and consent-based data sharing. This social graph serves as the foundation of the DOLR AI cloud, allowing businesses to engage with an interconnected user base without relying on centralised intermediaries. By harnessing ICP's scalability using canister smart contracts, DOLR AI removes the barriers associated with user acquisition and growth, allowing companies the opportunity to build and grow responsibly while respecting user autonomy.”
This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.
DOLR AI (DOLR) project facts
Recorded network: native asset or no separate token platform identified
Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.
DOLR AI (DOLR) FAQ
How does DOLR AI describe its user-owned social cloud?
DOLR AI describes a decentralised social cloud in which each user receives a dedicated canister. According to the project, these canisters support autonomous data ownership, execution, and interaction while using the Internet Computer Protocol’s infrastructure. The project presents this model as a way to give users greater control over their data and participation within the broader ecosystem.
What role do individual canisters play in DOLR AI’s architecture?
The project states that each user is assigned a dedicated canister, which functions as an individual environment for data ownership, execution, and interaction. DOLR AI presents these canisters as building blocks that can be connected into a wider social graph. This architecture is described as supporting user autonomy while taking advantage of ICP’s serverless and scalable infrastructure.
How does DOLR AI form a decentralised social graph?
DOLR AI says it networks user-owned canisters to create a dynamic social graph. The project describes this graph as an interconnected ecosystem that enables interaction among users while supporting privacy, security, and consent-based data sharing. It also states that the social graph currently connects more than 500,000 users, although that figure is presented as a project claim.
How does DOLR AI position its infrastructure for companies and developers?
The project positions DOLR AI as infrastructure for companies, developers, and users building or scaling within a decentralised ecosystem. It states that businesses can engage with an interconnected user base without relying on centralised intermediaries. DOLR AI further presents its use of ICP’s canister smart contracts and scalable infrastructure as a way to reduce barriers associated with user acquisition and growth.
DOLR AI metric comparison
This comparison is a stored snapshot generated 2026-10-24 06:30 UTC from 52 daily observations available from 2025-12-30 through 2026-03-10. 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
$0.00034101
$0.000341
n/a
+0.0%
n/a
Market cap
$239.8K
$240.0K
n/a
-0.1%
P37.5
YearBull Rank
n/a
#4,285
n/a
n/a
n/a
Bull Score
n/a
34/100
n/a
n/a
n/a
Turnover
0.00%
0.00%
n/a
0.0 pts
P5.5
YB Market Risk
n/a
Low
n/a
n/a
n/a
Cycle
n/a
Mid
n/a
n/a
n/a
Median absolute daily movement 0.00%; distance from the highest local daily price -59.9%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.
YearBull Rank timeline
Current YearBull Rank for dolr-ai: #3986.
Rank timeline (last 365 days)
Rank movement (time windows).
Reading rule: lower numbers mean higher placement.
7d window: no reference point available.
30d window: no reference point available.
YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. Lower rank numbers correspond to stronger relative placement.
Flow read: peer movement can shift relative placement even without news.
Venue angle: a broader footprint often smooths the rank trajectory.
Downside posture: consistency often matters more than speed.
Market phase: a quick bounce can still be a mean-reversion phase.
Practical note: rank is best used for relative context, not certainty.
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: 2026-03-01. 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.
No exchange markets were returned by the public venue source when last checked on 2026-03-01.