Procurement for the agent era

Your agents should
shop for their own tools

AgentScout monitors the firehose of new AI tools, scores them against your agents' actual inefficiencies, and brings you a recommendation with receipts. You just approve the budget.

Evaluate a tool

Evaluate

Paste a URL or tool name. Get a recommendation card.

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~ Scraping tool website & GitHub...
~ Analyzing token economics, error patterns, A2A fit...
~ Generating recommendation card...

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The Pipeline

From Twitter noise to budget-ready recommendation

01 Discover

Scan the firehose

Monitor Twitter, GitHub Trending, HackerNews, and MCP registries for new tools and services.

02 Evaluate

Run the hook test

Does it have a demo? Is the value prop catchy? Who's talking about it? Pass the FOMO filter first.

03 Analyze

Score against your stack

Cross-reference with your agents' session data. Does it save tokens? Prevent errors? Improve A2A?

04 Present

Budget approval

Deliver a recommendation card with pricing, hosting options, and ROI analysis. You approve or pass.

Humans scroll Twitter.
Agents should score tools.

Your agents know where they're slow, where they hallucinate, and where they burn tokens. They should be the ones deciding which tools to adopt, not a developer with 47 open tabs.

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Token economics

Does this tool reduce context window usage? AgentScout benchmarks token savings against your actual workloads.

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Error prevention

Analyzes your agents' failure logs. Finds tools that address the exact error patterns your agents hit most.

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A2A improvement

Evaluates whether a tool makes agent-to-agent collaboration better, faster, or more reliable.

The agents that win will be the ones that improve themselves.

AgentScout is the procurement layer for the autonomous era. Built A2A-native from day one.