GET Endpoint

Search by Name and Address for Skip Tracer

Use this endpoint to run a higher-confidence owner lookup using both inputs. It is part of StackDeal's skip tracer surface, which starts with a quick proof point and expands into a full workflow.

GET
Method
/skiptrace/search-name-address
Route path
lookup result
Output
Updated April 14, 2026Updated regularly to reflect the latest public StackDeal content.

What does search by name and address do?

This GET endpoint lets acquisition teams run a higher-confidence owner lookup using both inputs. It is one of the public StackDeal docs pages meant to capture technical intent while still routing evaluators into the broader skip tracer workflow.

How to use this endpoint page

A strong endpoint page should make the contract obvious, show what a useful first request looks like, and explain how the output fits into the sample-first StackDeal motion instead of reading like a disconnected API stub.

Step 1

Understand the route and method

This endpoint uses GET on /skiptrace/search-name-address. Start by clarifying what input it expects and why this route exists inside the broader workflow.

Step 2

Review a realistic first request

Use a realistic first input like name=John Doe,address=123 Main St so the buyer can imagine the endpoint in a real integration or test flow.

Step 3

Connect the output to StackDeal execution

The result should not stop at the API response. The point is to move the output into StackDeal for enrichment, prioritization, routing, or market execution.

Frequently asked questions

Who is this endpoint best for?

This endpoint is best for acquisition teams who need to run a higher-confidence owner lookup using both inputs and want to keep the result connected to a broader StackDeal workflow.

Should I start with the API or the free sample?

Start with the free sample when you want a quick proof point. Move to the API when the workflow is validated and you want a repeatable implementation.

Why publish endpoint pages publicly?

Public endpoint pages capture technical search intent, support AI citations, and give evaluators a cleaner trust path before they commit to trial or demo.