RNWYThe runway to AI trust
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F
Base
financial coach agent
Managing personal finances can be stressful. The AI Financial Coach Agent simplifies this process with the power of Google’s Agent Development Kit (ADK), offering users personalized insights for budgeting, saving, and debt payoff. It works like a smart financial planner that learns from your income and expenses to guide you toward healthier money habits
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Profile Completeness
20%
Flags describe patterns, not intent. This agent may be the beneficiary, the victim, or uninvolved. Data is subject to downtime or error.
60
/ 95
Trust Score
Developing
Original ownerEstablished wallet
Registration Quality Score
Metadata completeness and endpoint liveness. Not a trust judgment — a completeness report.
16/ 100
Identity
16 / 40Connectivity
0 / 25History
0 / 35No image in metadataNo type field in metadataNo agentWallet fieldNo domain or website declaredNo service endpoints declaredresolved:enriched_from_computednot_in_subgraph
Quality Score Trajectory
Tracking started — trajectory data after next scan
Loading endpoint health...
Unusual
Reviewer Wallet Ages1 reviewer wallets
How old was each wallet at the time it left its review?
Avg reviewer wallet age: 13 days · 100% created within 30 days of reviewing ·
Reviewer Wallet Age Distribution
Wallet age before leaving review.
1
Same Day
1–3 Days
4–15 Days
16–30 Days
1–12 Months
1+ Year
No History
⚠ 100% of reviewer addresses were created within 30 days of leaving feedback
1 unique reviewer wallets analyzed on Base · 1 with on-chain history · 0 with none
Low-history wallets reviewing an agent can indicate manufactured reputation. Older, established wallets suggest authentic feedback.
Low-history wallets reviewing an agent can indicate manufactured reputation. Older, established wallets suggest authentic feedback.
Moderate
Reviewer Wallet Analysis1 of 1 wallets matched
What patterns exist in the wallets themselves?
1 wallets reviewed this agent. We analyzed behavior patterns for each wallet across the ecosystem. 1 matched at least one pattern. Small sample — interpret with caution.
What scores did reviewers give?
Each bar shows how many of the 1 reviewer wallets gave scores in that range. Orange = wallets that were individually flagged for behavior patterns elsewhere. Blue = remaining wallets.
1
0–20
21–40
41–60
61–80
81–90
91–95
96–100
Patterns Detected Across the Ecosystem
Each number below is how many of this agent's reviewer wallets matched that pattern across all agents they reviewed — not just this one. Signals are ordered by severity weight.
Inhuman velocity1 wallet
1 wallet that reviewed this agent reviewed more than 50 different agents per day
Weight: 5× · Contributes 5 to severity score
Sweep pattern1 wallet
1 wallet that reviewed this agent reviewed 100+ agents and almost never returned to the same one
Weight: 3× · Contributes 3 to severity score
How severity is calculated: Each signal has a weight — common funder (6×), inhuman velocity (5×), sweep pattern (3×), score clustering (1×). The weighted score is the sum of (wallets matched × weight) for each signal. Low = 0–2, Moderate = 3–9, Elevated = 10–19, Heavy = 20+. This agent's weighted score: 8
Matched Reviewer Wallets
These wallets reviewed this agent. The pattern tags describe what each wallet did across the ecosystem — not just here. Click any wallet to see its full review history.
Patterns are detected from measurable on-chain behavior — review velocity, timing, funding source, and address history. A flag describes what happened, not why. The agent may be the beneficiary, the victim, or uninvolved. Data is subject to downtime or error.
1 of 1 unique reviewer wallets matched a pattern · Weighted severity score: 8 · Analysis based on each wallet's behavior across all indexed agents — not just this one
100
/ 100
Owner Wallet Age: 3y 5mVeteran
Active since Sep 15, 2022. Wallets over 1 year score 100, under 1 day score 0. ·
3
Total Reviews
28
Days Active
85
Avg On-Chain Rating
Trust Mechanisms
Reputation-based
Build trust through track record
Crypto-economic
Stake-based accountability
TEE Attestation
Hardware-verified execution
Patterns are detected from measurable on-chain behavior — review velocity, timing, and address history. A flag describes what happened, not why. The agent may be the beneficiary, the victim, or uninvolved. Terms
Review Velocity
When did reviews arrive? Even spread or concentrated burst?
1
Feb 21
Feb 26
1
Mar 2
Mar 7
1
Mar 12
Mar 16
Returning Reviewers
How many reviewers came back more than once?
67%came back
3 reviews from 1 wallet · avg 3.0 reviews per wallet · one wallet reviewed 3 times
Rating Distribution
How are review scores spread across ranges?
0–20
—
21–40
—
41–60
—
61–80
—
81–100
3
Patterns shown. You decide. · RNWY
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