QubeCV AI (QCV)

Overview

QubeCV AI (QCV) market snapshot: Price $0.00027038, market capitalization $243.31K, and reported 24-hour volume $18.

Trading activity: Reported 24-hour volume equals 0.01% of market capitalization. The local markets snapshot lists Uniswap V3 (Base) among venues with observed trading activity.

YearBull indicators: YearBull Rank #3,597. Bull Score 56/100. YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment. Cycle Early. Observed price change: 24h -0.87% · 7d -6.18% · 30d -17.73%.

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 QubeCV AI (QCV)?

Source description

“QubeCV AI is building a platform for Recruitment 5.0, leveraging AI Agents and blockchain technology to deliver transparent, secure, and intelligent hiring processes. The project focuses on practical solutions to key recruitment challenges, such as CV authenticity verification and efficient talent matching. The $QCV token will serve as one of the core pillars of the ecosystem. Given the growing demand for automated and transparent solutions in the multi-billion dollar HR market, QubeCV AI has the potential to become a significant component of the Web3 ecosystem, setting a new standard in talent management.”

This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.

QubeCV AI (QCV) project facts

Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.

QubeCV AI (QCV) FAQ

How does QubeCV AI say it will address CV authenticity?

The project states that its platform will use AI Agents and blockchain technology to support CV authenticity verification. This is presented as a response to concerns about whether candidate credentials can be trusted during recruitment. The materials do not specify the verification workflow, the records checked, or how disputed credentials would be handled.

What role do AI Agents play in QubeCV AI’s recruitment model?

QubeCV AI positions AI Agents as part of its Recruitment 5.0 approach, intended to help make hiring processes more intelligent and efficient. The project does not specify whether these agents screen candidates, communicate with applicants, rank profiles, or perform other tasks, so their exact responsibilities remain undefined.

How is QubeCV AI intended to improve talent matching?

The project says its platform will focus on efficient talent matching, connecting recruitment needs with suitable candidates through automated and intelligent processes. However, it does not explain which qualifications, experience signals, or preferences would be evaluated, nor does it state how employers or candidates could review or challenge matching outcomes.

What does QCV contribute to the QubeCV AI ecosystem?

QubeCV AI describes the QCV token as one of the core pillars of its ecosystem. The materials do not specify whether QCV would be used for payments, access, rewards, governance, verification, or another function. Its precise role and any associated token mechanics therefore remain unspecified.

Why does QubeCV AI target the recruitment and HR sector?

The project presents recruitment as a large HR market with demand for automated and transparent processes. It aims to apply AI Agents and blockchain technology to challenges including credential authenticity and talent matching. The project says this could support a new standard in talent management, but does not establish adoption or market impact.

QubeCV AI metric comparison

This comparison is a stored snapshot generated 2026-10-24 06:30 UTC from 279 daily observations available from 2025-12-30 through 2026-10-24. 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.

MetricSnapshot30d before90d beforeChange vs 30dUniverse percentile
Price$0.00027435$0.00032208$0.00022608-14.8%n/a
Market cap$246.9K$289.8K$203.5K-14.8%P47.6
YearBull Rank#2,911#2,044#3,038Lower by 867P65.5
Bull Score58/10063/10066/100-5.0 ptsP69.7
Turnover0.00%0.01%0.01%0.0 ptsP7.9
YB Market RiskLowLowLowUnchangedn/a
CycleEarlyEarlyMidUnchangedn/a

Median absolute daily movement 2.02%; distance from the highest local daily price -42.2%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.

YearBull Rank context

Latest available YearBull Rank for qubecv-ai: #3597.

Rank timeline (last 365 days)

Rank change (reference points).

Reading rule: rank #120 sits higher than rank #200.

  • 7d window (2026-10-21): #3199 → #3597 (down by 398).
  • 30d window (2026-09-28): #2364 → #3597 (down by 1233).

YearBull Rank is an internal ordering on YearBull that positions a coin relative to the rest of the tracked universe. Use it as positioning context over time, not as a promise.

Orderflow context: a steadier line can indicate steadier access. 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 both are flat, the coin may be tracking its peer basket.

Risk angle: short bursts do not always translate into durable placement. If it moves only on certain days, it can be update cadence.

Market structure: venue mix can alter rank without changing the narrative. If rank improves slowly, it often reflects broader access or steadier participation.

Practical note: compare across windows before concluding.

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
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QubeCV AI (QCV) Markets

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.
Exchange Top Pair Stored 24h volume (snapshot) Trust Rank
Uniswap V3 (Base) QCV/WETH $23 #183

Listings are ordered by reported snapshot volume. Trust Rank is an external venue-quality indicator; it is not an endorsement or a solvency guarantee.