Read & query data
Pull live records, search entities, and keep downstream systems up to date.
- Search
Integration
Integrate Perplexity into the workflow. Can generate completions using Perplexity AI chat models or perform web searches with advanced filtering.
Perplexity AI is an AI-powered search engine and answer engine that combines the capabilities of large language models with real-time web search to provide accurate, up-to-date information and comprehensive answers to complex questions.
What can you do with the Perplexity integration? Perplexity AI is an AI-powered search engine and answer engine that combines the capabilities of large language models with real-time web search to provide accurate, up-to-date information and comprehensive answers to complex questions. With Perplexity AI, you can: AptlyStar exposes 2 operations so teams can automate end-to-end processes without maintaining brittle scripts.
Compose Perplexity with the rest of your stack using visual workflows and agents.
Pull live records, search entities, and keep downstream systems up to date.
React to webhooks and polling triggers the moment something happens.
Archive, delete, merge, and reconcile records with guardrails and approvals.
Trigger downstream actions, alerts, and hand-offs when something changes.
Aggregate metrics, export datasets, and feed BI or agent summaries.
React to webhooks and polling triggers the moment something happens.
Ship AI workflows that read, decide, and act on Perplexity — with guardrails and human approvals where you need them.
Build an agent that takes a topic or company name, runs deep web research via Perplexity with citations, and saves a structured brief file with sources, key findings, and open questions.
Explore templatesCreate a scheduled daily workflow that queries Perplexity for the latest news on topics I follow, summarizes each thread with citations, and posts the digest to Slack.
Explore templatesCreate an agent that triangulates a topic across Perplexity, Exa, and Tavily, deduplicates findings, and produces a consensus brief with confidence scores per claim.
Explore templatesBuild a workflow that runs DSPy programs against a Perplexity-backed retrieval layer, evaluates outputs with Hugging Face and Mistral parsers, and writes regression scores to a tracking table.
Explore templatesBuild a workflow that runs Perplexity research, embeds findings with a Hugging Face encoder, deduplicates near-identical claims, and writes a clean research file.
Explore templatesConnect Perplexity once, then reuse the same blocks across agents, workflows, and templates.
Teams lose hours copying data between Perplexity and CRMs, inboxes, and spreadsheets. AptlyStar connects Perplexity to 2+ operations so updates flow automatically.
Learn moreOne-off scripts break when APIs change. Use visual workflows, retries, and typed blocks so Perplexity automations stay maintainable as you grow.
Learn moreAgents need live Perplexity context without over-permissioned keys. Connect credentials once, apply guardrails, and let agents act through audited workflow runs.
Learn moreReady-to-use workflow templates that include Perplexity, just like in the app.
Perplexity research briefer
Build an agent that takes a topic or company name, runs deep web research via Perplexity with citations, and saves a structured brief file with sources, key findings, and open ques...
Daily news brief via Perplexity
Create a scheduled daily workflow that queries Perplexity for the latest news on topics I follow, summarizes each thread with citations, and posts the digest to Slack.
Multi-source research agent
Create an agent that triangulates a topic across Perplexity, Exa, and Tavily, deduplicates findings, and produces a consensus brief with confidence scores per claim.
Perplexity sales account refresh
Create a scheduled workflow that walks accounts in my CRM, runs Perplexity research on each for new funding, headcount changes, or product launches, and writes the digest back to t...
Perplexity + DSPy structured-output evaluator
Build a workflow that runs DSPy programs against a Perplexity-backed retrieval layer, evaluates outputs with Hugging Face and Mistral parsers, and writes regression scores to a tra...
Perplexity + Hugging Face semantic dedup
Build a workflow that runs Perplexity research, embeds findings with a Hugging Face encoder, deduplicates near-identical claims, and writes a clean research file.
Design multi-step automations with blocks, branches, loops, and human-in-the-loop checkpoints — no boilerplate code.
Learn moreGive agents tools, memory, and guardrails so they can plan, call integrations, and finish tasks across your stack.
Learn moreGround agents in docs and tables, then trace every run with logs, evaluations, and deployment controls.
Learn moreParallel AI
Web research with Parallel AI
Browser Use
Run browser automation tasks
Mem0
Agent memory management
Stagehand
Web automation and data extraction
Zep
Long-term memory for AI agents
Embeddings
Generate Open AI embeddings
Anthropic Claude
Use Claude models for chat and reasoning
Azure OpenAI
Use Azure OpenAI deployments for chat and reasoning
Connect Perplexity to agents and workflows in minutes — no credit card required.