Stop paying for the tokens your agents waste.
AI token optimization, built into governance. Every agent runs through Willow, so you see every token it burns, what loaded and went unused, and where to cut. Then trim it at the source.
Some agents come for your data.
Others just burn your budget.
All night, in an empty office, ungoverned agents pull in tools and data they never use, and the token meter climbs. Willow turns on the lights.
Your agents are burning tokens you can't see.
Agentic workloads cost far more than a chatbot. One task can fan out into dozens of tool calls, and most of the spend is invisible. Every MCP server loads its full tool schema before the agent does a thing. Skills load into every conversation. Tool responses return payloads nobody reads. No one owns the bill. It shows up as a line item that only ever climbs, with no way to see which agent, which tool, or which call is responsible. You cannot cut what you cannot see.
Most of your token cost is context nobody asked for.
Willow traces every token to its source, so you can see where the waste actually is:
Token usage analytics, down to the call.
Willow's Tokens dashboard shows context footprint by MCP server, toolkit, and skill, ranks your top consumers, and hands you recommended actions. Not a report you export and forget. A live view with one-click fixes.
Govern. See. Trim.
Govern
Every agent already runs through Willow. That is what makes the rest possible.
See
Turn on token usage analytics and watch the spend break down by MCP server, toolkit, skill, and tool response, per agent, per team, per user.
Trim
Act on the recommendations. Build smaller toolkits, move long skill content into references, tighten tool responses, and switch output format to JSON Compact, CSV, YAML, or TOON. The waste goes away at the source.
Everything you need for AI token optimization.
Token usage analytics.
Full spend and context footprint across every agent, live.
MCP context analysis.
Find the servers whose schemas bloat the prompt.
Toolkit context sizing.
See which toolkits push too much into context.
Skill token analysis.
Spot oversized skills and extract references.
Tool response optimization.
Catch unmapped, high-token responses and trim them.
Output-format control.
Default, JSON Compact, CSV, YAML, or TOON, set per your stack.
Top-consumer ranking.
Who and what burns the most, by agent, team, and tool.
Loaded-unused detection.
Context pulled in and never used, surfaced automatically.
Cost attribution to a human.
Every token tied to a named agent and owner, streamed to your SIEM.
Savings are what governance leaves behind.
Same control plane. The savings are just what governance leaves behind.
Token spend is the AI bill nobody is watching.
Every agent you add multiplies the calls, the context, and the cost. Left ungoverned, that spend only climbs, and no one can say why. Governed, it becomes visible, attributable, and trimmable. You do not need another tool. You need every agent running through one control plane that already sees it.
FAQS
Your agents are already in the wild.
Give them a Basecamp. Go from AI chaos to AI work, in minutes.
