Find anomalies
Identify token spikes, looping calls, repeated retries, night usage, and test waste.
Make runaway tokens visible
TokenPilot is an AI token cost governance platform for teams using LLM APIs, AI agents, and automated workflows. It detects abnormal model calls, traces cost root causes, and recommends governance actions before AI bills spike.
3 minutes. No bill upload. No API key required.
When calls run away, bills run away
Unexpected calls can rapidly multiply token spend. The real risk is not expensive models; it is abnormal usage that goes unnoticed.
Agents can burn budget on their own
Task chains fail to terminate, and model calls keep expanding.
- Failure pattern
- An agent enters a task loop that never reaches a stop condition and keeps calling models automatically.
- Incident signal
- Calls jump 20x in 15 minutes, rapidly amplifying token cost.
Failed calls still cost money
API failures trigger repeated retries, raising errors and token spend together.
- Failure pattern
- Automatic retries stack after API failures, causing failed requests to compound.
- Incident signal
- Error rate, latency, and token cost rise at the same time.
Test environments consume production budget
Premium models are accidentally used for testing, debugging, and non-production workloads.
- Failure pattern
- High-cost models are used in test, debug, or non-production environments without guardrails.
- Incident signal
- Non-production traffic steadily consumes production budget, making month-end bills hard to explain.
Employee usage should not be a black box
Track AI usage by person, team, and time window.
- Failure pattern
- Employees call models directly without budget boundaries or behavioral audit trails.
- Incident signal
- Night spikes, abnormal context lengths, or non-business model usage.
Not sure which risk applies to your team?Find your top AI cost risk in 3 minutes.
Find my top riskDetect, trace, govern
Locate the root cause
Trace issues to agents, APIs, models, environments, projects, employees, teams, and workflows.
Recommend actions
Generate recommendations for rate limits, downgrades, circuit breakers, isolation, audits, and budget thresholds.
See how TokenPilot detects, traces, and governs abnormal token spend.
See the governance workflowSee abnormal spend at a glance
Trace anomaly cost back to agents, APIs, environments, employees, and workflows.
Object
Anomaly cost
Root cause
Recommended action
Report Agent
$9.8k
Loop 20x
Set call caps
Search API
$4.6k
Retry storm
Break / downgrade
Test env
$3.1k
Premium model misuse
Isolate environment
Internal usage
$2.4k
Night spike
Audit members
Where the money went
Attribute token spend by agent, environment, employee, team, feature, and workflow.
Where the problem started
Trace abnormal spend to the call chain, task, model, and responsible object.
See anomalies immediately
Detect token spikes, looping calls, retry storms, and test waste.
Know what to do next
Recommend rate limits, circuit breakers, downgrades, isolation, and audits.
Already have bills or call logs?Get a free abnormal spend diagnosis.
Get a free diagnosisFind the problem and the fix
Every anomaly maps to a concrete governance action.
Agent loopsStop repeated model calls
Retry stormsContain failed retries
Test environment wasteSeparate test budgets
Employee anomaliesClarify employee usage
Model mismatchUse the right model
Make AI cost understandable for every team
Spot cost black holes
Find the agents, product features, and automation flows that burn the most budget, then prioritize the biggest risks.
- Anomaly cost exposure
- Budget burn trends
- High-risk agent ranking
- Governance priorities
Explain every bill
Turn model vendor bills into explainable, allocatable, alertable, and accountable cost ledgers.
- Budget alerts
- Cost allocation
- Anomaly explanation
- Responsible object tracing
Trace call root causes
Locate call-chain root causes before agent loops, retry storms, and test waste become billing incidents.
- Call-chain root cause tracing
- Anomaly threshold alerts
- Model cost controls
- Rate limit / downgrade / breaker advice
The more AI you use, the more you need it
Once model calls operate at scale, cost governance cannot wait for the month-end bill.
More than call volume
TokenPilot focuses on anomaly cost, risk objects, and governance actions.
Basic API monitoringTokenPilot
Tracks request volumeTracks cost anomalies
Tracks error rateTracks risk amount
Tracks endpoint statusTracks responsible objects
Requires manual investigationAutomatically locates root causes
Only sends alertsRecommends governance actions
Already have bills or call logs?
Get a free abnormal spend diagnosis. TokenPilot will identify abnormal spend, locate high-risk objects, analyze suspected root causes, and provide the first set of governance recommendations.
Stop loss first, then measure ROI
TokenPilot first helps companies detect and govern abnormal AI costs. It then maps token consumption to customers, features, teams, agents, and business output to build an ROI system for the AI era.