Build a Token Management System With AI and No-Code

AI features can consume tokens fast when every prompt, retry, agent, and model call runs through different systems. Nodavelo helps you build a token management system that tracks usage by product, team, customer, workflow, and model.

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Build a Token Management System With AI and No-Code

Trusted by founders & Fortune 500s

Connect every model call to the tokens it consumes

Connect and interact with data from anywhere. Nodavelo supports 15+ native integrations and connects to any API service using REST API.

Explore all data sources

Add token management features off-the-shelf tools miss

With Nodavelo AI, build dashboards, request logs, quota controls, policy views, alert workflows, and usage reports around your AI token data.

Provider token dashboard

Show token usage across OpenAI, Anthropic, Gemini, Azure, Bedrock, or custom providers with totals by day, model, environment, and project.

Token usage tracking

Track input tokens, output tokens, cached tokens, request count, latency, retries, and estimated cost for every logged model call.

Feature-level attribution

Break down token consumption by product feature, agent, workflow, customer, workspace, API key, subscription tier, or internal team.

Prompt version token checks

Compare prompt versions by token volume, average tokens per request, latency, request count, and error rate before rolling changes into production.

Team and customer quotas

Create quota views for teams, users, customers, agents, or plans with warning thresholds, monthly limits, remaining tokens, and projected usage.

Token policy controls

Give admins a control panel for token limits, approved models, fallback rules, environment permissions, and routing policies managed by your backend.

Usage alerts and reports

Build alerts, anomaly views, CSV exports, usage summaries, and chargeback reports for the people accountable for AI token consumption.

AI usage analyst assistant

Add an assistant that explains token spikes, summarizes waste patterns, suggests lower-token prompt paths, and links to the exact requests behind the answer.