One endpoint in. The right model out.

Ten stages, every request.

1. 01

   Receive

   A single drop-in compatible endpoint replaces your provider base URL. Applications and prompts stay exactly as they are.

2. 02

   Optimize

   The prompt is trimmed before execution: duplicated context, dead conversation history, unused metadata, and verbose boilerplate are removed while intent and constraints are preserved.

3. 03

   Score

   The request is rated for complexity, sensitivity, and the output quality it actually requires.

4. 04

   Cache

   If a semantically equivalent answer has already been bought, it is returned instead of being regenerated.

5. 05

   Decompose

   Complex requests are split into subtasks — extraction, classification, reasoning, writing, validation — that can each be priced separately.

6. 06

   Consider a MicroModel

   If Podar has already distilled this task family into a certified Podar MicroModel, that tiny specialist is the first destination — orders of magnitude cheaper than any external model, gated by a confidence and quality check.

7. 07

   Route

   Each request or subtask crosses a multi-gateway fabric to the cheapest healthy supply path that meets the quality bar.

8. 08

   Escalate

   Low-confidence or high-stakes work climbs the chain to frontier models automatically. Easy prompts never leave the basement.

9. 09

   Validate

   Outputs are checked against schemas, constraints, and quality signals before they reach your application.

10. 10

    Measure

    Realized savings are recorded request by request against the model that would otherwise have served it. That ledger is the meter our fee runs on.