Independently verified against live vendor data on Oct 5, 2026.
Transparency
Mostly Public
Contract
Monthly or Annual
Data training
Not Trained
Human in loop
Optional
Capabilities
lead-generationoutbound-automationdata-analysispersonalizationautonomoushiringweb-searchcrm-sync
Pros & Limitations
Editorial assessmentPros
- ✓PeopleGPT natural language search removes the Boolean expertise that traditional sourcing tools assume, so recruiters without specialist search skills can run effective searches across 800M+ profiles.
- ✓A hosted MCP server, listed in the Claude and ChatGPT connector directories, lets an AI assistant query recruiting analytics and create or manage Juicebox Agents, and Agent 4.0 pulls role context from tools such as Notion and Google Drive over MCP connectors.
- ✓Integration coverage is documented rather than implied: 41 ATS systems and 21 CRMs, with job import, rediscovery of past applicants and automatic export of shortlisted profiles back to the ATS.
- ✓The trust center publishes SOC 2 Type II, GDPR and CCPA, a third-party AI bias audit for NYC Local Law 144 and 24 named subprocessors, which matters for regulated hiring.
Limitations
- –ATS and CRM integration, network sourcing and SSO all sit in the custom-priced Business tier, so the teams most likely to need pipeline handoff cannot see what it costs without contacting sales.
- –Per-seat pricing scales linearly with headcount at $99 to $179 per seat billed yearly, and always-on Juicebox Agents add $199 per agent per month on top of seats.
- –Contact data is metered: Starter includes 500 contact credits a month, phone numbers are not available on Starter and cost 3 credits each on Growth, and unlimited contact credits require Business.
- –PeopleGPT is trained on people data gathered from 30+ public sources. Customer data is excluded, but organizations sensitive to candidate-data provenance should review that distinction before adopting.
Technical Details
Deployment
webcloud
Model architectureProprietary large language models and vector embeddings for candidate search, with the ability to switch LLM models (trust center). Disclosed AI subprocessors include Anthropic (AI model provider) and Baseten (model hosting and inference), with OpenAI and Fireworks also listed.
Avg setup timeAbout 60 seconds to sign up and run a first search, per the vendor's FAQ. ATS and CRM connections are a Business-plan feature arranged with sales, and no duration is published for them.
Autonomous rateJuicebox Agents run 24/7 in the background: they source from 800M+ profiles, rank candidates against recruiter-defined criteria, refine those criteria from each approve or reject decision, and can be set to auto-email or auto-shortlist. Agent 4.0 (August 2026) also researches context from connected tools and simulates several search strategies before recommending one. The vendor publishes no autonomous completion rate, and its homepage says recruiters stay in control of every send.
Integrations
Security
SOC 2 Type IIGDPRCCPA
Similar agents
Industries
Healthcare
Built for
B2BEnterpriseAgenciesSaaSStartups
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