Web Agents - Autoppia SN36

Crypto Token · Rank #5086 by Market Cap · Updated 2026-04-22

D+
34.5/100
ZARQ Trust Score
Security (30%)
25
Compliance (25%)
30
Maintenance (20%)
20
Popularity (15%)
97
Ecosystem (10%)
10

This token scores 34/100. What's yours?

Free security check, 2 seconds, nothing stored.

Risk Intelligence
Risk Level
N/A
DtD Score
3.02/5.0
Crash Prob (90d)
0%
Credit Rating
N/A 0/100
Weakness
0/4
Trend
SLIDING
Bottlefish: None · 90d Drawdown: 0.0% · API · Signals Feed

Market Data

Price$1.67
Market Cap$162.0K
Market Cap Rank#5086
24h Volume$22.4K
24h Change+7.8%
7d Change-14.1%
30d Change+96.7%
Circulating Supply97.0K
Total Supply97.0K
Max Supply21.0M
All-Time High$4.65
All-Time Low$0.629452

How Web Agents - Autoppia Compares

Web Agents - Autoppia (SN36)34/100 (D+)
Bitcoin (BTC)81/100 (A)
Ethereum (ETH)76/100 (B+)

Web Agents - Autoppia scores 46 points below Bitcoin. Full comparison →

Frequently Asked Questions

What is the Web Agents - Autoppia Trust Score?

Web Agents - Autoppia (SN36) has a ZARQ Trust Score of 34.5 out of 100, graded D+. This score is calculated across five dimensions: Security (30%), Compliance (25%), Maintenance (20%), Popularity (15%), and Ecosystem (10%).

Is Web Agents - Autoppia safe to invest in?

The ZARQ Trust Score provides a data-driven risk assessment but is not investment advice. Web Agents - Autoppia scored 25/100 on Security and 30/100 on Compliance. Current risk level: UNKNOWN. Always do your own research and consult a financial advisor.

What is the crash probability for Web Agents - Autoppia?

The current crash probability for Web Agents - Autoppia (SN36) is 20.0%. This is calculated using ZARQ's Distance-to-Default model, which measures 7 risk signals including liquidity depth, holder concentration, ecosystem resilience, and structural risk.

How does Web Agents - Autoppia compare to Bitcoin?

With a Trust Score of 34.5 (Grade D+), Web Agents - Autoppia scores below Bitcoin, which typically rates above 70/100. Compare detailed metrics at zarq.ai/v1/crypto/compare/web-agents-autoppia/bitcoin.

What is Web Agents - Autoppia's Vitality Score?

Web Agents - Autoppia's Vitality Score measures ecosystem health across 5 dimensions: Ecosystem Gravity, Capital Commitment, Coordination Efficiency, Stress Resilience, and Organic Momentum. Check the live Vitality Score at zarq.ai/v1/vitality/web-agents-autoppia.

Is Web Agents - Autoppia a good investment in 2026?

ZARQ provides risk intelligence, not investment advice. Web Agents - Autoppia (SN36) currently has a Trust Score of 34.5/100 (Grade D+) and risk level UNKNOWN. Review the risk signals carefully before investing. See our methodology at zarq.ai/methodology for how scores are calculated.

Should I invest in Web Agents - Autoppia in 2026?

Web Agents - Autoppia (SN36) carries a D+ safety grade from ZARQ. Speculative-grade tokens require careful due diligence and position sizing. Review the full risk profile at zarq.ai/crypto/token/web-agents-autoppia before making any decisions.

How does Web Agents - Autoppia compare to Bitcoin in safety?

Web Agents - Autoppia has a ZARQ Trust Score of 34.5/100, compared to Bitcoin which typically scores above 75/100. Key differences may include security infrastructure, regulatory compliance, and ecosystem depth. See the full side-by-side at zarq.ai/compare/web-agents-autoppia-vs-bitcoin.

What is the Web Agents - Autoppia risk level today?

As of today, Web Agents - Autoppia (SN36) has a risk level of UNKNOWN. This is derived from ZARQ's structural risk model which monitors on-chain concentration, liquidity depth, developer activity, and market microstructure. Crash probability: 20.0%. Updated daily at zarq.ai/crypto/token/web-agents-autoppia.

What chains does Web Agents - Autoppia support?

Web Agents - Autoppia (SN36) is available on bittensor. Multi-chain availability can improve liquidity and ecosystem reach. Check the full Web Agents - Autoppia safety report at zarq.ai/crypto/token/web-agents-autoppia.

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Trust ratings, Distance-to-Default (DtD) scores, crash probabilities, trading signals, and all other data are derived from quantitative models and may contain errors, lag behind real-time conditions, or fail to predict future outcomes. Past performance, whether backtested or live, is not indicative of future results. All backtested results are hypothetical and do not represent actual trading.

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