Use cases
What an AI agent (or its builder) actually does with TensorFeed. Each page maps a common job-to-be-done to the specific endpoints, MCP tools, and SDK methods that get you there fastest.
Coding agents
Pick the right model for code work, stay current on SWE-bench leaders, watch for price drops and new model launches.
Research agents
Search a deep AI news corpus, dive into a single provider, get morning briefs on what changed in the field overnight.
API cost monitoring
Project workload cost across models, get notified when a price drops, audit per-token and per-call spend through agent dashboards.
Agent payments integration
Make your AI agent pay TensorFeed (or your own API) per call in USDC on Base. End-to-end SDK paths and the validate-and-charge contract.
Looking for the discovery surfaces and integration paths instead? See /for-ai-agents for the full agent-first overview, or /glossary for definitions of x402, MCP, and agent payments.