DataLayer runs frontier-quality reasoning at a fraction of the price: a big model plans the task once, a small model executes every call after. Up to 30× cheaper on recurring workloads.
Set a cost/quality target; for every call DataLayer predicts difficulty, ranks models on a cost/quality curve, and picks a strategy, then runs the cheapest path that still gets it right.
Apps repeat the same task shapes thousands of times. So for a recurring task we have a frontier model write the reasoning plan once, cache it, and let a small model execute every call after. The expensive thinking amortizes to near-zero, so you keep frontier-grade reasoning at a small-model price.
Wire-compatible with the OpenAI and Anthropic SDKs. Migrate in minutes, with no rewrite and no lock-in.
Most gateways pick a model and stop. DataLayer also picks how to reason, then runs the cheapest path that still gets it right.
Easy query → one well-chosen, cost-effective model. Zero overhead.
Recurring task → plan once with a frontier model, cache it, execute cheap. Up to 30× cheaper.
Hard query → plan → solve → verify, escalating only when needed.
Highest-stakes → a panel proposes, one model aggregates the best answer.
Every request is metered at its real model cost, and your dashboard shows spend against what the same traffic would cost on a premium model: savings you can watch, not a claim you take on faith.
Illustrative, vs gpt-4o pricing for each mix. Your real numbers show in the dashboard.
OpenAI & Anthropic SDKs, 100+ models, one key, one bill.
Per-request model + strategy selection tuned to your target.
Real spend vs premium baseline, savings you can prove.
SSE streaming, system prompts, and tool calls work unchanged.
Create keys, top up credits, track usage per key, all self-serve.
Pay-as-you-go, prepaid credits, no sales call to start.
Every team can call the same frontier models through an API. The waste moved somewhere else: choice. Modern apps fire millions of model calls, and most teams point every one at a single expensive model. They pay frontier prices to answer “hi,” and still gamble on quality where it counts.
DataLayer is infrastructure for cost-efficient intelligence. For each request we predict difficulty, rank models on a cost/quality curve, and choose how to reason: direct, plan-and-execute, orchestrate, or fuse. Easy work runs cheap; recurring work amortizes to a small-model price; hard work escalates to match or beat the frontier.
And because we meter every real cost, we show the one number nobody else will: how much you saved by not running everything on a premium model. Intelligence per dollar, measured, not promised.
Get your API key and let the tokens flow.
Workloads at scale, with controls.
Point your existing SDK at DataLayer and watch the savings add up.
Start free · $5 credit