Deploy evals to reduce costs
Create evals that go beyond measuring outputs to programmatically improve token usage.
Control spend automatically with rate limits
Take control on day one. Identify costly agents, set spending caps to reduce token usage, and control ROI out of the box.
Connect dollars to tokens
Manage your budget better by understanding the financial impact of every agent in production—not just the token counts.
Track cost control period-over-period
Compare costs across a 7/30/90-day window to evaluate your cost control programs and report on the results.
Integrate all the tools they need—and then some.
Building Guild isn’t just extensible, it’s neutral by design. Connect everything your team runs on—from model to data source. No migrations required.
Models
Guild keeps you flexible, so agents aren’t tied to a single model vendor or setup.
Tools
Connect the systems your team already runs on—no migrations required.
Frequently asked questions
Three reasons: no visibility (teams don't know which agents are driving spend), no attribution (spend rolls up by provider, not by agent or workspace), and no enforcement (alerts fire after the money is already spent). Guild solves all three: per-agent attribution, real-time dashboards, and hard budget limits that actually stop overruns.
Guild identifies your top cost drivers, recommends cheaper model configurations backed by real evals against your production sessions, and lets you enforce monthly budgets with circuit breakers. You cut costs where quality holds and enforce limits where it doesn't.
Budget Limits are hard spend limits set per workspace, agent, or team. You get notified at 80% of the budget. At 100%, the limit is reached and further usage is automatically blocked until the cycle resets. Alerts warn you. Circuit breakers stop the spend.
Yes. Guild tracks spend across 7-, 30-, and 90-day windows so you can measure the impact of an optimization directly: cost per run before, cost per run after, delta in dollars, and quality delta from the eval. Optimization results are measurable, not anecdotal.
Both. Token counts by workspace, agent, user, provider, and model, and normalized dollar cost across every provider. Understand the financial impact of every agent in production, not just how many tokens they consumed.