Cost tracking
Real-time and historical spend broken down by provider, model and end user. Auto-estimated when you don’t send a cost, exact when you do.
Every team shipping AI in production will face hard questions about cost, failures, and data. Concrete logs are how you answer them.
When AI spend doubles, you need an itemized answer — by model, by feature, by user. Without per-call logs, you’re presenting a total with no breakdown.
Provider errors and rate limits don’t surface in your app logs. If you’re not capturing AI-specific failures, you’re the last to know when something breaks.
Legal, compliance, and enterprise buyers ask what your AI did and when. Structured logs aren’t optional when you need an audit trail — they’re the whole point.
Protolap turns every AI call into a structured record — so you can answer any question, instantly.
Every AI call your agents make — captured the moment it happens, and mapped across the year.
From a single ingest event, Protolap reconstructs the full picture of your AI usage — what it costs, how fast it is, where it breaks, and who’s driving it.
Real-time and historical spend broken down by provider, model and end user. Auto-estimated when you don’t send a cost, exact when you do.
Token consumption trends, request volume and latency distributions — see which models earn their keep and which quietly bloat the bill.
Error rates and failure patterns across every provider and model — catch a 429 storm before your users ever do.
Attribute cost and tokens to each app_user_id with no extra instrumentation. Power usage-based billing and abuse detection.
Automatic alerts the moment daily cost spikes beyond your normal threshold — know why last Tuesday was expensive, instantly.
When an orchestrator calls three models to answer one question, you need to see the whole chain — not just the last hop.
Log every model call in your agent chain. Pinpoint exactly which step is slow, expensive, or failing — without guessing.
Group related calls with a shared session or correlation ID. Reconstruct the full sequence of agent calls for any user, any run.
Multi-step pipelines multiply your token spend. Attribute cost to each agent role so you know what each step actually costs to run.
Works with Claude, OpenAI, Gemini, and any other provider your agents use — all in one dashboard.
Start logging →No SDK to install, no credentials to share. If you can send an HTTP request, you can have full AI observability.
Keep calling OpenAI, Anthropic, Google, or any other provider exactly as you do today. No changes to your stack, no new dependencies, no credentials to hand over.
After each AI call, forward a single HTTP POST with the metadata — model, tokens, latency, cost, user ID. That’s it. No SDK, no prompt storage, no agents to babysit.
Protolap normalizes every event across providers into one schema and surfaces it in real time — spend, usage trends, error rates, and per-user breakdowns, all in one dashboard.
Both plans give you the full Protolap ingest pipeline, analytics, and log explorer.
Everything you need to monitor and understand your AI costs.
Full platform access plus collaboration and reporting tools.