Long-form tutorials and explainers on building AI agents with quant finance APIs. Coverage of LangChain, Coinbase AgentKit, x402 payments, MCP, and the integration patterns we've found useful in practice. Most posts live on dev.to where they reach the agent-builder audience directly.
I built the same agent three ways using a real x402 API. Same question, same answer, three different integration patterns. The honest comparison with code samples and a decision table.
LLMs computing Black-Scholes in-context drift 5-30% on the Greeks and the agent can't tell. Here's how to wire grounded quant tools into a LangChain agent with pip install langchain-quantoracle — covers Kelly, Monte Carlo, Sharpe, and the rest.
Follow @quantoracle on dev.to for new tutorials and integration patterns. You can also subscribe to the QuantOracle RSS feed for the head-to-head explainer series under /compare.