Trading activity:
Reported 24-hour volume equals 0.03% of market capitalization. The local markets snapshot lists Raydium (CLMM) among venues with observed trading activity.
YearBull indicators:
YearBull Rank #7,180. Bull Score 35/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h -1.29% · 7d -6.06% · 30d -35.49%.
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: 66 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 Agent Ted (TED)?
Source description
“Agent Ted ("TED") represents a fundamental shift in the sports betting industry, fusing artificial intelligence (AI), decentralized finance (DeFi), and blockchain transparency to build a trustless, automated, and data-driven ecosystem. Utilizing player-level data from SPORTS RADAR and a proprietary neural network infrastructure, TED programmatically analyzes, executes, and manages bets across multiple sports markets. TED’s mission is to democratize access to professional-grade betting strategies, eliminate bias, and align participant incentives through fully on-chain, automated financial systems. Historically, sports betting has been dominated by centralized sportsbooks that retain significant informational and strategic advantages over individual bettors. Over 90% of participants lose money in the long term due to human biases, lack of data access, and poor bankroll management. Bettors often rely on intuition, emotions, or recency bias, all of which degrade decision quality. TED aims to invert this dynamic by introducing an AI-native, automated betting system that programmatically manages every aspect of the betting lifecycle. By removing human error and replacing it with neural-network-driven intelligence, TED creates an environment where capital is deployed strategically and transparently, and outcomes are verifiable on-chain.”
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.
Agent Ted (TED) FAQ
How does TED use player-level inputs in its betting process?
The project states that TED uses player-level inputs from SPORTS RADAR alongside a proprietary neural-network infrastructure. It presents this combination as a way to assess sporting events across multiple markets and to support programmatic decisions. The materials do not specify which player metrics are used, how they are weighted, or how the neural network is evaluated.
What parts of the betting lifecycle does TED claim to automate?
TED is presented as an automated system that analyzes, executes, and manages bets across multiple sports markets. The project says its approach is intended to cover the betting lifecycle rather than limit automation to event selection alone. It does not specify the exact execution rules, supported sportsbooks or venues, settlement procedures, or controls used when market conditions change.
How does TED connect artificial intelligence with decentralized finance?
The project positions TED at the intersection of artificial intelligence, decentralized finance, and blockchain transparency. It says these elements support a trustless, automated ecosystem in which capital deployment and betting activity can be handled programmatically. The materials do not detail the DeFi contracts, financial mechanisms, or specific on-chain components that implement this model.
What does TED mean by making betting outcomes verifiable on-chain?
TED presents on-chain activity as a means of improving transparency around its automated betting system. According to the project, recording relevant actions on a blockchain can make outcomes verifiable and reduce reliance on centralized processes. It does not explain which events are recorded, how records are reconciled with sporting results, or whether every stage of a bet is placed on-chain.
Who is TED intended to serve within sports betting?
TED says it aims to broaden access to professional-grade betting strategies by automating analysis and bankroll management. This positioning is directed toward participants who may lack specialist tools or who want to reduce decisions driven by intuition, emotion, or recency bias. The project does not define a specific user segment, eligibility framework, or geographic availability.
Why does TED emphasize removing human bias from betting decisions?
The project argues that intuition, emotion, recency bias, limited access to specialist analysis, and weak bankroll management can impair betting decisions. It presents neural-network-driven automation as a way to reduce those influences and deploy capital more systematically. These are project claims; TED does not establish that automation removes losses, guarantees better outcomes, or eliminates all decision risk.
Agent Ted metric comparison
This comparison is a stored snapshot generated 2026-10-23 06:31 UTC from 212 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
$0.00001536
$0.00002089
$0.00003496
-26.5%
n/a
Market cap
$15.4K
$20.9K
$35.0K
-26.5%
P8.5
YearBull Rank
#4,944
#2,643
#6,034
Lower by 2,301
P42.1
Bull Score
42/100
59/100
56/100
-17.0 pts
P36.9
Turnover
0.03%
0.05%
0.04%
0.0 pts
P20.6
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Early
Early
Mid
Unchanged
n/a
Median absolute daily movement 2.09%; distance from the highest local daily price -99.1%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.
YearBull Rank overview
Most recent YearBull Rank reading for agent-ted is #7180.
Rank timeline (last 365 days)
Rank change (reference points).
Reading rule: lower numbers mean higher placement.
7d window (2026-10-21): #5365 → #7180 (down by 1815).
30d window (2026-09-28): #2579 → #7180 (down by 4601).
YearBull Rank is a relative placement score used on YearBull to compare a coin against peers within the same dataset. It is best read as relative context across time windows, not as a guarantee.
Cycle view: Compare the 30d move with the 7d move to see if momentum is accelerating or fading.
Route context: If rank holds gains, the footprint is likely supporting the move.
Risk view: Read it as "how stable is the position" rather than "how exciting is today".
Liquidity framing: If the curve jumps, check whether the cohort moved too (relative effects).
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:
Golem 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.
