Verify the vendor behind a bank or card line
Finds who a bank or card feed line was paid to, what they do and what it was likely for, and says plainly when it could not.
What it does
Each integration step this workflow runs, in the order it first runs them, and what it is for.
- 1SerperSearch webThe agent's Google search: looks up the cleaned-up payee, with a city, state or a word from the client notes when the name is ambiguous, and a person's name with 'linkedin'.
- 2ExaSearch webThe agent's profile search: finds a person's LinkedIn profile from the name and a role, employer or place, since profile pages cannot be opened directly.
- 3ExaGet contentsThe agent's page reader: opens the vendor's own website, or a directory, review or news page, and reads what it says about the business.
How it works
What happens on each run, in plain English.
Paste one line from a client's bank or card feed and run it. An AI agent cleans up the payee as the bank printed it, searches Google for the business or person, opens the vendor's own page to confirm what they do, and looks up a person's profile when the line names one. You get back who was paid, what they do, what the payment was most likely for, a suggested account, and the addresses it relied on, shown on the run page.
It is built not to bluff. Every fact has to come from a page it read or a result it saw, a guess is labelled as a guess, and the status ('identified', 'likely', 'not identified' or 'processor only') is checked by the workflow: a match with no source behind it is reported as not identified, and a second, independent model reads the summary against the evidence and says whether it claims more than the evidence supports. Anything it cannot confirm becomes one question to ask the client.
Write the client's context into the notes step once, and import a fresh copy for each client.
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