Healthcare entity resolution
Match messy provider data to verified NPIs.
Upload a spreadsheet of providers or organizations. NPI Finder matches each row against the federal NPPES registry and public web evidence, then returns confidence-rated NPIs with the sources to prove them.
$5 of credit on signup. Five rows free, no card required.
NPPES-first
Discovery starts with the federal NPPES registry.
Name-gated
Location signals support a name match but can't replace it.
Auditable
Confidence, candidates, and sources travel with every row.
Resolution ledger
providers_q2.csv
5
rows
8
NPPES verifies
12
source URLs
Sarah K. Lindqvist, MD
Family Medicine · Portland, OR
Sarah K. Lindqvist, MD
HighLINDQVIST, SARAH K · street match
1487362091
Sarah K. Lindqvist, MD
LINDQVIST, SARAH K · street match
1487362091HighCascade Heart & Vascular
Cardiology group · Bend, OR
Cascade Heart & Vascular
HighCASCADE HEART AND VASCULAR LLC · street match
1663984528
Cascade Heart & Vascular
CASCADE HEART AND VASCULAR LLC · street match
1663984528HighDr. Mike Okafor
Internal Medicine · Spokane, WA
Dr. Mike Okafor
HighOKAFOR, MICHAEL · nickname expanded
1248573903
Dr. Mike Okafor
OKAFOR, MICHAEL · nickname expanded
1248573903HighRiverstone Pediatrics
Pediatrics · Boise, ID
Riverstone Pediatrics
MediumFormer name: LAKEVIEW CHILDREN'S CLINIC · ZIP match
1582603472
Riverstone Pediatrics
Former name: LAKEVIEW CHILDREN'S CLINIC · ZIP match
1582603472MediumSummit Care Clinic
Urgent care · Reno, NV
Summit Care Clinic
No matchname gate failed · 3 candidates rejected
—
Summit Care Clinic
name gate failed · 3 candidates rejected
—No match
Operating model
Built for provider files that need a defensible answer.
NPI Finder is intentionally narrow: it resolves provider and organization rows, verifies candidate identifiers, and returns the trail behind the match.
Cited
completed rows include the matched registry record, reasoning, candidate context, and source URLs
NPPES-first
healthcare entity matching starts with the federal registry before escalating to public web evidence
$1
per completed row run, charged up front. System failures are credited back to your balance automatically
50k
rows per uploaded table in the app, with controlled parallel runs and streaming results
Built for
Explore the resolution problem
Four ways teams describe the same provider data work.
Whether you call it healthcare entity resolution, NPI entity resolution, or bulk NPI lookup, the job is the same: match messy rows to verified provider identities with evidence.
The resolution problem
Entity resolution is where NPI cleanup gets expensive.
01
Claims bounce
A wrong NPI turns into denials, resubmissions, and follow-up work that costs far more than the original typo.
02
Directories go stale
Providers move, change names, rebrand, and merge. A spreadsheet that was right last quarter won't tell you which rows have changed since.
03
Lookup doesn't resolve identity
Manual NPPES searches take minutes per row and struggle with nicknames, DBAs, and misspellings. Fuzzy matching is faster, but it can't tell you whether a near-match is actually the same entity.
The method
NPI entity resolution, row by row.
NPI Finder runs a research process for each row across registry records, public web evidence, source pages, and NPPES verification. The evidence behind every answer is recorded before it's submitted.
- 01
Discover
Registry-first search of NPPES with nickname expansion, former names, DBAs, and wildcards. When the registry can't see a row (misspellings, marketing names, a bare domain), the agent escalates to the open web.
- 02
Verify
Candidate NPIs are screened with the NPI check-digit algorithm and checked against the federal registry by 10-digit number. If a fallback cannot be verified, it is capped low and flagged for review.
- 03
Match
The name-identity gate: the registered name must plausibly denote your entity. Address, ZIP, and phone corroborate a name match but never substitute for one, so a different practice at the same address gets rejected.
- 04
Show its work
Each completed row returns the chosen NPI, a confidence rating, the matched registry record, candidates considered, and the URLs it relied on, so the decision can be audited later.
- nppes_search“okafor, michael” · Spokane, WA3 candidates
- web_search“Dr. Mike Okafor Spokane internal medicine”nickname evidence
- web_fetchspokane-internalmed.com/providersaddress confirmed
- nppes_verify1248573903✓ check digit · ✓ registry
- submit_answername gate passed · street matchconfidence: high
Investigation path: registry discovery · public web corroboration · NPPES verification · confidence-rated answer or no-match.
What you get
Built for files where provider identity matters.
01
Streaming results
Rows land in the grid the moment they resolve, so you can review early results while the rest of the batch runs.
02
Graded confidence
High, medium, or low, graded by how the registry record corroborates your data across street, ZIP, city, state, and phone.
03
Explained no-matches
When the name-identity gate fails, the row comes back as a no-match with the reasoning and sources from the investigation, rather than the nearest plausible-looking record.
04
One-click reruns
Rerun a single row, rerun everything below high confidence, or rerun the whole batch. Each rerun is a fresh investigation.
05
Audit-ready export
One CSV: your original columns joined with the NPI, matched name and address, confidence, reasoning, candidates, and source URLs.
06
Individuals & organizations
Type 1 and Type 2, with an enforced filter so an organization is never resolved to a person's NPI or vice versa.
Validated claims
NPI facts you can check at the source.
Public NPI facts on this site link to the CMS and HHS documents they come from. Product claims describe how the app actually behaves, including its review limits.
Pricing
Simple commercial terms for messy provider files.
Per-row pricing keeps the cost tied to completed work. You can review a small batch, top up for a larger cleanup, and export only the evidence-backed results you want to move downstream.
$1.00
per completed row run
Completed no-matches stay charged because the investigation happened.
$5.00
welcome credit on signup
Enough to run five rows before adding a card.
10%
bonus credit on top-ups of $100+
System failures and cancelled unfinished rows are credited back automatically.
Start with your file
Stop reconciling healthcare entities by hand.
Your first five rows are on us. Upload the provider file you have now and review the evidence before it moves downstream.