Opportunity BasketAgent Tool Telemetry Service
A managed data collection and analysis service that instruments AI coding agents (Claude, Codex, Cursor) to automatically log every tool invocation, latency, success/failure outcome, and token cost across customer deployments. Customers deploy a lightweight SDK that captures this data, which flows to a central warehouse where dashboards and reports show which tools actually solve problems efficiently in their specific domain and codebase patterns.
16 weeks • 70% confidence
Value Proposition
Replaces guesswork with empirical data specific to each team's codebase and problem distribution. Reduces wasted compute spend by 15-30% through tool optimization, cuts agent configuration time from weeks to days, and identifies tool gaps before they cause production slowdowns. Competitors rely on public benchmarks; this is private, domain-specific ground truth.
Target Audience
Engineering teams and AI tool builders at companies with 20+ developers using AI coding agents in production (mid-market SaaS, fintech, enterprise software shops).
Key Features
- Lightweight SDK that auto-instruments Claude/Codex/Cursor API calls with zero code changes
- Real-time dashboards showing tool selection frequency, latency percentiles, and success rates per tool
- Cohort analysis: compare tool performance across file types, task categories, team members, and time periods
- And more, with full implementation detail...
Tech Stack
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Sign up freeOriginal Problem
AI coding agents lack visibility into which tools actually solve problems efficientlyDevelopers and AI tool builders struggle to understand which tools Claude, Codex, and Cursor actually choose to install and use in real-world scenarios. Without empirical data on tool selection patterns across thousands of runs, teams waste time guessing at tool effectiveness, leading to suboptimal agent configurations and wasted compute resources. Current solutions rely on anecdotal evidence rather than measurable benchmarks.
Score: 45.8% • 1 demand signal