API wrapper for OpenAI usage metrics with custom alerts
Built for engineering teams managing LLM API spending.
“Is there a way to obtain obtain Usage information programatically via API call(s) ? Am looking to get the data that is shown in the page OpenAI API and implemen…”
The receipts — real demand
“Is there a way to obtain obtain Usage information programatically via API call(s) ? Am looking to get the data that is shown in the page OpenAI API and implement custom alerts based on that. Is there a better way to do this than via web scraping ? P.S.: Looks like the only alerting that is direct provided is hitting soft limit (and possibly hitting hard limit).”
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Why this is a gap
Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.
The market
Engineering teams using OpenAI API for production services who need to monitor and alert on usage/spend (especially important as model costs scale). Pain statement shows explicit feature request; no search volume but steady demand from cost-conscious engineering orgs.
Competition & the opening
Very crowded (8/10). Helicone, LangSmith, Portkey.ai, Braintrust, and OpenMeter all offer usage tracking. OpenAI added webhook support natively. The gap: custom alert orchestration and fine-grained cost anomaly detection remain scattered across tools; no single lightweight wrapper with pluggable alerting (Slack, PagerDuty, custom webhooks) dominates.
What's hard to build
OpenAI's usage API is slow and often delayed by hours; webhooks are undocumented and unreliable. Building real-time alerts requires caching, backfill logic, and handling gaps in reported usage. Cost calculation rules vary by region and model; keeping up with OpenAI's pricing changes is operationally heavy.
Why now
OpenAI's native Usage Dashboard lacks programmatic alerts and custom thresholds; Helicone/Portkey own the wrapper space but lack granular alerting.
How you'd monetize
Freemium (50 API calls/day) + $19/mo (unlimited alerts, Slack/email/webhook inte