Lusha vs People Data Labs

Lusha is a B2B contact and company data platform accessible through an extension, API, Workspace, Claude, and ChatGPT. Its search layer lists more than 290 million verified contacts and 29 million companies, with 78 fields per record and 26 buying signals refreshed weekly. Data options include direct dials, intent signals, and technographic filters; Lusha lists more than 117 million direct dials. The API queries contacts, companies, and signals, while MCP connects Claude, ChatGPT, and compatible assistants. CRM integrations include Salesforce, HubSpot, monday CRM, Zoho, Pipedrive, and Bullhorn; automation integrations include Clay, Make, n8n, and Zapier. The Free plan costs nothing, includes 40 monthly credits and one seat, and does not require a credit card. Revealing an email uses one credit; a phone number uses five. Unused monthly credits roll over up to twice the plan’s credit limit, while annual credits are issued upfront. Listed annual-billed monthly prices are $37.45 a month for Starter, $52.45 a month for Pro, and $299.95 a month for Premium. Plans can be canceled anytime, effective at the end of the billing cycle.

People Data Labs provides B2B data products for building data-driven products and enriching person and company records. Its APIs can look up person profiles from details such as a name, location, email, phone, education, work history, or social profile; requests need sufficient information to identify a match. The company dataset describes more than 23.8 million global companies, with fields such as name, domain, industry, location, LinkedIn URL, employee count, and founding year. The listed contact database size is 3 billion, and the product includes direct-dial and intent data. API offerings cover person and company enrichment, search, IP enrichment, and person identification. The free plan is free for up to 100 credits per month, but contact data values are obscured. Pro starts at $98 a month, with 350 credits per month as the starting level and contact data included. Enrichment requests typically use one credit per successful request; Search uses one per returned profile.