AI wrapper · OpenAI-backed product

1.2M tokens/day. 63% margin.
Cut inference cost $1,900 this month.

Every "GPT-for-X" startup hits the same wall: token costs eat the margin, outages break the product, users complain about latency. Route, cache, fall back, and know exactly where the money goes.

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1,114,909 APIs·No keys·Pay per call

Live KPIs

What a profitable AI wrapper actually tracks.

Tokens/day

1.24M

caching 38%

Gross Margin

63%

+4pts from cache

MRR

$21,400

+$2,100 MoM

P95 Latency

1.4s

-300ms from Haiku route

Fallbacks fired

147

3 upstream outages

Workflows

Routing, caching, metering — the stuff that eats your weekends.

Every request

Route + cache

Claude Haiku for short prompts
GPT-4 for complex tasks
Upstash caches common outputs

When → Upstream 5xx

Auto-fallback

Sentry detects failure
Switch to second provider
PostHog logs the swap

Per customer

Meter cost to margin

Segment captures tokens used
Stripe meter increments
Slack alert if margin < 50%

Wired to

Real APIs. Bring your credential. Pay per call.

◆OpenAI

◆Anthropic

◆Stripe

◆Upstash

◆PostHog

◆Sentry

◆Segment

◆Slack

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1.2M tokens/day. 63% margin.Cut inference cost $1,900 this month.