ModelPin — Task-aware model routing gateway

Lets AI agents auto-pick the best and cheapest model per task type

Problem

Developers juggle GPT, Claude, and local models but must manually choose one per call; wrong picks waste money and slow things down. Pure price comparison isn't enough because task requirements vary wildly.

Solution

A single API gateway where developers tag task types (codegen, summarization, translation, reasoning); the gateway routes to the best model based on historical performance and cost, with A/B comparison and fallback. It gradually learns the best model per task from light labeling.

Users

Developers building their own AI agents, small AI app teams, indie devs who want quality on a budget

MVP

Unified API across multiple model providers; task-tag-based routing rules; logging cost and response quality per call; a simple dashboard for comparison and manual weight tweaks

Revenue

Transparent markup or flat subscription on call volume; team tier for advanced routing learning and custom policies

Why now

The model supply landscape is extremely fragmented and routing/cost optimization is an ongoing pain; indie developers can start with rule-based routing and layer in light learning, avoiding head-on competition with OpenAI/OpenRouter