Trading activity:
Reported 24-hour volume equals 0.14% of market capitalization. The local markets snapshot lists Uniswap V3 (Ethereum) and Uniswap V2 (Ethereum) among venues with observed trading activity.
YearBull indicators:
YearBull Rank #2,166. Bull Score 80/100.
YB Market Risk Medium. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h 2.59% · 7d -29.82% · 30d 105.13%.
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 Modulr (EMDR)?
Source description
“Modulr is a global network that lets anyone operate robots anywhere on Earth—instantly, securely, and in real time. Through the Modulr interface, a user can connect to any machine across the world, stream live data, and control it as if they were standing beside it. This ability to bridge distance and bring physical systems online is the foundation of the next global industry. Robotics, AI, data, and compute are converging into a single programmable layer: the Modulr network. Modulr is built around a simple principle: any machine, anywhere, should be operable through a shared network. To make that possible, Modulr provides two key capabilities: 1. Teleoperation at global scale - low-latency, real-time control for robots and connected systems. 2. Open access to intelligence and resources - rent or deploy AI models, data services, and compute directly through the network. Together, these create a practical foundation for the robot-enabled economy, where robotics becomes accessible to both individuals and businesses at scale. Robots are often expensive, challenging to setup for non-developers, and superfluous for long-term ownership. Modulr unlocks access to the world's robots, much like Airbnb unlocks access to the world's vacation spots.”
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.
Modulr (EMDR) FAQ
How does Modulr describe its global teleoperation capability?
The project describes Modulr as a network for controlling robots and other connected machines from anywhere in the world. Through its interface, users can connect to a machine, receive live data, and operate it remotely in real time. The stated objective is to make distance less restrictive by giving users control that feels similar to being physically present beside the equipment.
What kinds of resources does Modulr say users can access through its network?
Modulr states that its network can provide access to more than remote machine control. It presents AI models, data services, and computing resources as components that users may rent or deploy directly through the network. This positions the platform as a shared layer combining physical systems with digital intelligence and infrastructure, rather than as a robotics interface alone.
How does Modulr frame the relationship between robotics, AI, data, and compute?
The project presents robotics, artificial intelligence, data, and computing as converging into one programmable network layer. In this framing, machines can be connected to digital services and computational resources through a common system. The stated goal is to create infrastructure for a robot-enabled economy in which physical equipment and software-based capabilities can be accessed together.
Who does Modulr say its network is intended to serve?
Modulr describes its model as serving both individuals and businesses. It argues that robots can be expensive, difficult for non-developers to set up, and unnecessary to own over the long term. By presenting remote access to robots as an alternative to ownership, the project says its network can make robotic capabilities available to a broader audience.
What comparison does Modulr make to explain its access model for robots?
Modulr compares its proposed approach with Airbnb’s access model for accommodation. The analogy suggests that users could access robots when needed without purchasing and maintaining them permanently. This comparison reflects the project’s stated emphasis on shared access to distributed physical resources, although it describes the intended model rather than establishing that such access is available in every case.
Modulr metric comparison
This comparison is a stored snapshot generated 2026-10-23 06:30 UTC from 293 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
$0.2708
$0.1492
$1.26
+81.4%
n/a
Market cap
$111.3K
$61.3K
$1.12M
+81.4%
P36.1
YearBull Rank
#1,931
#8,690
#4,804
Improved 6,759
P77.4
Bull Score
80/100
15/100
25/100
+65.0 pts
P95.5
Turnover
0.13%
0.94%
0.43%
-0.8 pts
P34.0
YB Market Risk
Medium
Low
Low
Low → Medium
n/a
Cycle
Early
Early
Early
Unchanged
n/a
Median absolute daily movement 5.28%; distance from the highest local daily price -93.1%; circulating supply change -48.7%. These measurements are descriptive and do not predict future direction.
YearBull Rank overview
YearBull Rank now for modulr: #2166.
Rank timeline (last 365 days)
Rank movement (time windows).
Reading rule: lower is better in this ranking.
7d window (2026-10-20): #2329 → #2166 (up by 163).
30d window (2026-09-27): #8904 → #2166 (up by 6738).
YearBull Rank is a comparative index on YearBull that helps contextualize a coin’s position versus others over time. Treat it as a directional context tool rather than a standalone verdict.
Liquidity posture: deep markets usually produce smoother rank paths. If the line reacts in bursts, watch for calendar-driven liquidity.
Cycle framing: phase changes usually leave a footprint in consistency. If 7d and 30d disagree, treat it as a transition window.
Risk profile: minor drift can still matter at scale. If the last week is quiet, the current rank is usually easier to trust.
Market structure: fragmentation can make rank more reactive. If rank improves slowly, it often reflects broader access or steadier participation.
Practical note: use 30d for context and 7d for current 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:
Shiryo analysis - nearby market scale in the current dataset.
Zoomer analysis - nearby market scale in the current dataset.
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.
