Predict future usage in dollars and calls using proven algorithms—so you can act before costs spiral and churn happens.
Start free — 1,000 API calls/month included
No credit card required • Unlimited users • Then just $0.0001/call
UsageTap unifies metering, pricing, and entitlement controls so your team can launch AI-powered experiences with confidence. Set guardrails, track spend in real time, and align value with revenue—all in one place.
Daily and hourly anomaly alerts flag AI and custom meter usage that diverges sharply from expected trends. Weekly forecast emails warn customers before they hit limits, with one-click CTAs to upgrade or top up PAYGo credit. Our statistical forecasting and anomaly detection optimize revenue and reduce unanticipated operating costs from excessive user behavior.
Notify ops teams when usage spikes or dips beyond forecasted thresholds.
Help customers adjust behavior and plans before limits are reached.
AI-powered experiences don’t behave like traditional SaaS. One customer might experiment with a few prompts while another runs thousands of calls overnight—and you feel every token in your bill. Without visibility and controls, even successful launches can become financial sinkholes.
Offer a free tier to build trust, then convert fans into paying customers with clear limits and upgrade prompts. UsageTap keeps users informed about their consumption, nudges them before they hit caps, and makes upgrading effortless so your early adopters grow with you.
AI workloads swing wildly between customers. A few power users can send API calls and token spend soaring before finance ever sees the warning signs. Metering with UsageTap brings predictability to an otherwise unpredictable cost center.
Align price with value by metering calls, tokens, and specific models per customer. UsageTap lets you set guardrails so no single account can run costs unchecked, turning AI features into profit drivers instead of unpredictable expenses.
Surprise bills create churn and support tickets. Give customers real-time dashboards so they can monitor usage, self-manage allowances, and understand exactly what they’re paying for—before it becomes a problem.
Customers can’t get refunds for disappointing AI output, but they can churn. UsageTap closes the loop with feedback on response quality, helping you adjust allowances or models quickly so customers feel the value and stay longer.
Plan- or customer-level caps per call, token, and capability—no custom code per tier.
Block, throttle, or bill overage. Switch policies without engineering sprints.
Drop‑in widgets and API for usage vs allowance, recent calls, and upgrade prompts.
Forecast future spend in dollars and API calls using solid predictive algorithms—act before overages become churn.
Detect actual usage diverging sharply from forecasted expectations using statistical time-series methods.
Stream calls, tokens, and cost to any OTLP endpoint—Datadog, Grafana, New Relic, and more.
LLM as a Service is a production‑ready gateway for multi‑provider LLMs—offering smart routing and fallbacks, PII redaction, observability, and audit logs in one place. Deploy fast, keep keys secure, and scale with confidence.
Early access
We are currently looking for early adopters to test and develop with us. Want an invitation?
.webp&w=128&q=75){kind=small}
I'm with Founder University