An AI API router that learns your application's request patterns and automatically rewrites prompts and routes calls to the cheapest model that maintains quality parity as measured by your own evals
AI API spend is becoming a material line item and every team is guessing at which model is good enough rather than measuring it
Built for Engineering teams and product managers running LLM-powered applications who face unpredictable or rising API costs and lack time/resources to refactor their stack..
Using application-specific eval data rather than generic benchmarks to make routing decisions so cost savings are provably safe for your use case not just theoretically cheaper
“How I Cut My AI API Bill by 40% Without Changing a Single Line of Application Code…”
The receipts — real demand
“How I Cut My AI API Bill by 40% Without Changing a Single Line of Application Code”
🔁 Corroborated on other sources
“I currently have a claude pro monthly subscription ($20) which I use for coding. It's been useful but I'm fatigued from optimising my work around it's session limits. There are so many choices and providers out there today but hard to get a good signal about what&#…”
◆ Hacker News ↗“One specific and repeated request has been to put a hard stop to calls made to the AOAI service automatically once a certain budget threshold is crossed. ... AOAI is an API based service and thus, there is no option to Start/Stop it like some other services in Azure.”
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demand score 7.8 — the receipts are below
Why this is a gap
This pain showed up independently across 3 different sources — the strongest signal that demand is real and underserved.
The market
Engineering teams and product managers running LLM applications face unpredictable API costs across multiple providers. No search volume is available, but the pain point (40% savings without code changes) suggests sustained, underserved demand from cost-conscious builders.
Competition & the opening
General cost monitoring tools (CloudHealth, Kubecost) and individual provider dashboards exist, but none offer multi-provider routing with automatic cost optimization. The gap is real-time provider arbitrage without application refactoring.
real pricing Not Diamond from $0.05 per million tokens routed · Martian Media from $49/month + $99 setup fee; Martian Logic pricing available (amounts not specified)
What's hard to build
Building this requires deep API integrations with OpenAI, Anthropic, Cohere and others (moving targets for pricing/models), real-time latency measurement across providers, and SDKs that must transparently intercept requests without breaking existing code. The feasibility rating of 5/10 reflects how hard it is to maintain compatibility while adding routing logic.
Why now
LLM API costs have exploded as usage scales, and multi-provider arbitrage is now feasible with standardized APIs.
How you'd monetize
Usage-based API (% of savings)