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 chat completion, embedding and image call — normalized into one source of truth. Spot the slow model, the failing provider, and the user driving your bill.
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.
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.
Create a workspace, drop in your ingest key, and watch the data flow. No provider credentials, no prompt storage, no agents to babysit.