Perplexity API: build research pipelines.
Perplexity's Sonar API gives you programmatic access to grounded-with-citations AI. For technical users, that means automated research pipelines, integrated tools, and custom workflows. This Pro+ lesson covers the basics of the Sonar API, three real use cases, and the cost-optimization patterns.
The mental model
The Sonar API is grounded search as a building block.
Whatever you build with it gets Perplexity's research grounding — real sources, citations, current information. Use it for any workflow that needs answers based on current web data, not LLM training data.
Workflow 01 Setup and first API call
Get an API key and make your first call
Sign up at sonar.perplexity.ai → get an API key → make your first call.
The prompt that works
Best use cases
- Developers building research-grounded apps
- Internal tools that need current information
- Integrations with CRMs, ticketing systems, etc.
- Replacing generic LLM calls with grounded ones
Workflow 02 Automated daily briefings
Build a daily briefing pipeline
Set up a scheduled job that hits Sonar each morning, generates a custom briefing, emails it to your team.
The prompt that works
Best use cases
- Daily industry briefings for executive teams
- Competitive intelligence pipelines
- Custom news feeds for specific roles
- Internal newsletter generation
Workflow 03 CRM enrichment with Sonar
Auto-enrich every new lead
When a new lead enters your CRM, trigger a Sonar call to enrich the record.
The prompt that works
Best use cases
- B2B SaaS sales-development workflows
- Account-based marketing enrichment
- Pre-call research at the CRM layer
- Quality-tier sorting of inbound leads
Final challenge: ship one Sonar-powered workflow
Pick a single research task you or your team does manually. Build a Sonar-powered automation for it. Start with the simplest pipeline (script + email). Iterate from there.
What you can do now
- Get a Sonar API key and make a successful first call
- Build a simple daily-briefing pipeline
- Integrate Sonar with a tool you actually use
- Apply cost-optimization (caching, rate-limiting)
- Tag AI-sourced data in your systems so it can be verified