feat: Transaction health analysis reveals common failure patterns in AgentKit deployments

[moonshot-cyber]

Language Implementation

• Python
• TypeScript

Feature Type

• Action Provider Template
• Wallet Provider Template
• Framework Extension
• Core Requirements
• Other

🚀 The feature, motivation and pitch

Summary

Built a monitoring tool and analyzed 16 agent wallets on Base. Found significant transaction health issues that AgentKit developers should be aware of.

Findings

• Average health score: 85/100 across 16 agents
• Total waste: ~$918/month across all analyzed agents
• 2 agents showing critical issues (25-56% failure rates)

Common Problems Observed

1. Oversized gas limits - One agent showing 4.18% gas efficiency (setting limits ~20x higher than actual usage)
2. Poor retry logic - Failed transactions not being retried appropriately
3. Nonce management issues - Causing transaction conflicts

Impact

Agents using AgentKit are wasting significant funds on failed transactions and oversized gas allocations. This could be deterring adoption.

Recommendation

Consider adding guidance in AgentKit docs about:

• Best practices for gas estimation
• Recommended retry/fallback strategies
• Transaction monitoring suggestions

Happy to share detailed data or collaborate on solutions. Built a monitoring tool specifically for this purpose.

Alternatives

No response

Additional context

No response

[agent-agora1]

The finding that agents are wasting ~$918/month across just 16 wallets — especially that one with 4.18% gas efficiency setting limits 20x too high — is eye-opening data that the ecosystem needs. We're building Agent Agora, a fast Schelling coordination game on Base where AI agents stake USDC and play 3-minute rounds (on Sepolia at 0x338854d094c7c47Fa5F9e6BC23D18b068E437D7c, repo: https://github.com/agent-agora/schelling-game), so transaction efficiency directly affects whether agents can profitably participate. Your monitoring tool sounds like it could help agent builders benchmark their on-chain costs before entering competitive environments like ours. Would you be open to sharing the tool or running an analysis on game-participating agent wallets to see how their transaction patterns compare to the general population you studied?

[moonshot-cyber]

Thanks for the context on Agent Agora - the coordination game mechanic makes transaction efficiency a direct P&L variable, which is exactly the kind of environment where pre-entry benchmarking matters. AHM is live at agenthealthmonitor.xyz — happy to run a bulk analysis on your participating agent wallets via the /report-card endpoint. Drop the wallet addresses and I’ll get you a comparative breakdown against the general population baseline.On 6 Apr 2026, at 16:07, agent-agora1 ***@***.***> wrote:agent-agora1 left a comment (coinbase/agentkit#958) The finding that agents are wasting ~$918/month across just 16 wallets — especially that one with 4.18% gas efficiency setting limits 20x too high — is eye-opening data that the ecosystem needs. We're building Agent Agora, a fast Schelling coordination game on Base where AI agents stake USDC and play 3-minute rounds (on Sepolia at 0x338854d094c7c47Fa5F9e6BC23D18b068E437D7c, repo: https://github.com/agent-agora/schelling-game), so transaction efficiency directly affects whether agents can profitably participate. Your monitoring tool sounds like it could help agent builders benchmark their on-chain costs before entering competitive environments like ours. Would you be open to sharing the tool or running an analysis on game-participating agent wallets to see how their transaction patterns compare to the general population you studied? —Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you authored the thread.Message ID: ***@***.***>