A target account list is the task where the unverified approach is expensive, because the agent repeats the same research loop for every account. Twenty-five accounts means twenty-five rounds of search, read, cross-check, guess, confirm. The token cost scales linearly with the list size, and the bulk of it isn’t spent finding data — it’s spent deciding whether the data is real.
One verified call per account collapses that loop. The agent asks Lusha for the account and the contact, and gets a structured record with a confidence it doesn’t have to relitigate. The expensive branch of the agent’s reasoning — the “let me check another source” branch — never runs, because there’s nothing to doubt.
The flagged gaps are part of the saving, not a shortfall. When Lusha returns no verified contact for an account, the prompt lists it as a clean gap instead of having the agent go off and assemble a guessed record from the web. That clean negative is cheaper than the hopeful guess in both credits and tokens, and it keeps the list honest — every contact on it is verified, and every gap is labeled.
Data drawn from 300M+ verified contacts under GDPR, CCPA, SOC 2, ISO 27701, ISO 31700, and TRUSTe.
