Trusta AI (TA) market snapshot:
Price $0.062403, market capitalization $11.23M,
and reported 24-hour volume $811.24K.
Trading activity:
Reported 24-hour volume equals 7.22% of market capitalization. The local markets snapshot lists PancakeSwap V3 (BSC), Bybit and Gate among venues with observed trading activity.
YearBull indicators:
YearBull Rank #21. Bull Score 79/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h 2.23% · 7d 40.82% · 30d 14.09%.
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 Trusta AI (TA)?
Source description
“Trusta.AI is devoted to leveraging revolutionary AI innovation breakthroughs to bring fundamental changes to the entire AI + Crypto ecosystem. We believe that by bringing "more trust, less friction" in transactions, we can create a smoother and more secure digital experience for human users and AI agents. Trusta.AI's vision is to build a Trusted Identity Network for Crypto-Intelligence (Crypto+AI). In this ecosystem that encompasses both Human Intelligence and Artificial Intelligence, using Trusta Identity as the foundation, all data, reputation, and credit will be accumulated. Ultimately, we will establish a universal credit infrastructure for all intelligences (human intelligence + artificial intelligence). But now, We believe it is time to decentralize Trusta.AI for adapting to the coming of AI era.”
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.
Trusta AI (TA) FAQ
How does Trusta.AI position Trusta Identity within its ecosystem?
The project presents Trusta Identity as the foundation of a Trusted Identity Network for Crypto-Intelligence. It says this identity layer is intended to support both human intelligence and artificial intelligence, with data, reputation, and credit accumulated within the ecosystem. The stated aim is to create a shared identity and trust framework for different participants in crypto-related interactions.
What role do reputation and credit play in Trusta.AI’s vision?
Trusta.AI says reputation and credit would be built on top of Trusta Identity and eventually form a universal credit infrastructure for human and artificial intelligence. The project connects this concept with smoother transactions and reduced friction. It does not specify how credit would be calculated, how reputational records would be updated, or which safeguards would govern disputed or inaccurate assessments.
How does Trusta.AI address interactions between people and AI agents?
The project positions its ecosystem as covering both human users and AI agents, rather than focusing exclusively on one participant type. Its stated goal is to make digital transactions more trusted and less cumbersome across these groups. The project does not specify the exact authentication methods, permissions, or transaction workflows that would allow people and AI agents to interact through the proposed identity network.
Why does Trusta.AI say decentralization is important to its plans?
Trusta.AI states that it is time to decentralize the project in response to the arrival of the AI era. Within its broader vision, decentralization is presented as a way to support a trusted identity and credit infrastructure for multiple forms of intelligence. The project does not explain the planned governance model, decision-making process, validator structure, or timing for this transition.
What problem does Trusta.AI associate with the phrase “more trust, less friction”?
The phrase summarizes the project’s stated goal of making transactions smoother and more secure for human users and AI agents. Trusta.AI links this objective to AI innovation and its proposed identity network for crypto-related activity. It does not define specific transaction standards, security controls, or measurable criteria for determining whether the ecosystem has reduced friction or improved trust.
Trusta AI 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
$0.0499
$0.0554
$0.0687
-10.0%
n/a
Market cap
$8.98M
$9.97M
$12.37M
-10.0%
P84.7
YearBull Rank
#332
#1,160
#1,910
Improved 828
P96.1
Bull Score
56/100
51/100
46/100
+5.0 pts
P62.6
Turnover
11.08%
6.17%
12.11%
+4.9 pts
P84.1
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Early
Early
Mid
Unchanged
n/a
Median absolute daily movement 2.47%; distance from the highest local daily price -50.9%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.
YearBull Rank context
Current YearBull Rank for trusta-ai: #21.
Rank timeline (last 365 days)
Rank movement (nearest daily data).
Reading rule: a smaller rank number indicates stronger placement.
7d window (2026-10-20): #1633 → #21 (up by 1612).
30d window (2026-09-27): #1705 → #21 (up by 1684).
YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. Lower rank numbers indicate stronger placement in the current snapshot.
Orderflow context: deep markets usually produce smoother rank paths. If the curve improves but won’t hold, treat it as flow-driven.
Cycle note: in rotations, improving rank can happen without price leadership. If the line breaks range, confirm with more than one week.
Risk profile: minor drift can still matter at scale. If it moves only on certain days, it can be update cadence.
Market structure: fragmentation can make rank more reactive. If rank improves slowly, it often reflects broader access or steadier participation.
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: 2026-10-26. Next refresh window: around 2026-11-09. Venue listings and volumes are stored snapshots, not live quotes.
