Sam Whitaker writes the developer side of the blog: the API, webhooks, phone number data and keeping credit data safe once it's in your systems. Code samples are kept short enough to actually read.
When an assistant runs a lookup, the result becomes part of the chat, and the chat goes places. Here's the path a credit report takes, what each stop keeps, and a short checklist for teams that let assistants pull credit.
A small Python agent that talks to our MCP server over plain HTTP with a pncs_test_ key: the handshake, the tool call, a loop you can hand to any model, and the guardrails that stop it from guessing a purpose or paying twice.
ChatGPT, Claude, Cursor, VS Code and homegrown agents can all run real credit lookups once they're connected to a credit data service, and none of them can do it alone. A side-by-side of what each can do, plus the risks nobody puts in the demo.
Claude can't reach a credit bureau by itself. Give it a connector to a credit data service and a legal reason to look, and it can run a soft-pull lookup and explain the result. Here's the setup in Claude and Claude Code, test mode first.
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