The Scenario
You're a billing coordinator at a regional healthcare group. The credentialing audit is next Tuesday. The auditors want verified specialty taxonomy codes, full legal names, and primary practice addresses confirmed from NPPES for every provider in the network — all 500 of them.
Your NPI numbers are in column A. The verified data needs to land in columns B, C, and D. You've been through this before: the CMS NPPES website has a lookup tool that accepts one NPI at a time. Five hundred providers. One at a time.
The bad version:
- Open the NPPES NPI Registry site. Type the first NPI into the search field. Wait for the result. Confirm it's the right provider — there are sometimes two entities with the same NPI prefix. Copy the full legal name, taxonomy specialty, and primary address. Paste each into the correct column. Move to NPI 2.
- After 30 providers you realize you pasted the wrong taxonomy code for two of them because the NPPES page shows both the individual and organizational taxonomy and you picked the wrong one.
- 3 hours later you're on provider 80 of 500 and the auditors just emailed asking for a preliminary list by end of day.
Five hundred lookups at 3 minutes each is 25 hours of work. The audit doesn't care how many hours it took.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the NPI list in column A, queries Composio Search's NPPES registry tool for each provider, and writes verified name, taxonomy, and address into columns B, C, and D.
For each NPI in column A, look up the provider in the NPPES registry and write their full legal name into column B, primary taxonomy specialty into column C, and primary practice address into column D.
Five hundred NPIs, verified across three fields, in one pass.
What You Get
- Column B: Full legal name as registered in NPPES
- Column C: Primary taxonomy specialty code and display name
- Column D: Primary practice address (street, city, state, ZIP)
- NPIs that return no match are flagged 'No Match' in column B
- Inactive providers are flagged 'Inactive' separately from unmatched ones
What If the Data Is Not Quite Ready
You want to validate the NPI numbers themselves before looking up data
Some NPIs in the sheet were hand-entered and may have digit errors.
Validate all NPI numbers in column A against the CMS NPPES registry and flag any that return no match or show an inactive status in a new column E with the label 'Invalid' or 'Inactive'.
You have both individual and organizational NPIs mixed in the same column
The lookup behavior is different for Type 1 (individual) and Type 2 (organizational) NPIs.
For each NPI in column A, determine whether it is a Type 1 individual or Type 2 organizational NPI based on the NPPES response and write 'Individual' or 'Organization' into column E. Then pull the full name and primary address into columns B and D accordingly.
The address data needs to be split across separate columns
Your credentialing system requires street, city, state, and ZIP in separate columns.
For each NPI in column A, look up the provider in NPPES and write the street address into column D, city into column E, state into column F, and ZIP into column G. Write full legal name into column B and taxonomy specialty into column C.
Kill chain: validate, enrich, flag inactive providers, and count by specialty
For each NPI in column A, query the NPPES registry, write full name into column B, taxonomy specialty into column C, and primary address into column D. Flag any NPI with no match or inactive status in column E. Then in a summary section below, count how many providers fall into each taxonomy specialty category.
One prompt validates the full list, pulls the credentialing data, and builds the specialty breakdown the auditors will want.
Try It
Get the 7-day free trial of SheetXAI and open your provider credentialing sheet. Ask it to look up every NPI in column A against the NPPES registry and fill in name, specialty, and address in bulk. See also: Batch-Summarize Competitor Web Pages Into a Google Sheet With Composio Search or the Composio Search hub.