AI logging & analytics

Know exactly what your AI
is doing.

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 lock-in — one HTTP POST Keys never leave your app
01Cost trackingprovider · model · user
02Usage analyticstokens · volume · latency
03Error monitoringrates · failure patterns
04Per-user breakdownapp_user_id attribution
05Anomaly detectionspend-spike alerts
Everything, in one pane

Observability built for teams
shipping AI in production.

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.

01

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.

02

Usage analytics

Token consumption trends, request volume and latency distributions — see which models earn their keep and which quietly bloat the bill.

03

Error monitoring

Error rates and failure patterns across every provider and model — catch a 429 storm before your users ever do.

04

Per-user breakdown

Attribute cost and tokens to each app_user_id with no extra instrumentation. Power usage-based billing and abuse detection.

05

Anomaly detection

Automatic alerts the moment daily cost spikes beyond your normal threshold — know why last Tuesday was expensive, instantly.

Provider-agnostic — one view across every model you call

OpenAI Anthropic Google Mistral Cohere Meta Llama xAI DeepSeek
Live in 5 minutes

Ship AI with
your eyes open.

Create a workspace, drop in your ingest key, and watch the data flow. No provider credentials, no prompt storage, no agents to babysit.

$ export PROTOLAP_KEY=pk_live_8f31c•••••