Perplexity AI Integration — Automate Perplexity AI with AI on Beauto

Perplexity AI provides conversational AI models for generating human-like text responses

Category: artificial intelligence, ai chatbots · 9 actions available

What you can automate with Perplexity AI

Beauto connects Perplexity AI with 900+ other apps so you can build AI-powered workflows in minutes. Trigger automations from Perplexity AI events, enrich Perplexity AI data with AI, or sync Perplexity AI with the rest of your stack — without writing code.

  • Sync Perplexity AI data with Gmail, Slack, Notion, HubSpot, Google Sheets, and more
  • Trigger AI agents on new Perplexity AI events and route the output anywhere
  • Schedule recurring Perplexity AI tasks — daily reports, cleanups, or bulk updates
  • Use natural language to describe the workflow; Beauto builds it for you

Perplexity AI actions Beauto supports

  • Create Async Chat Completion — Create Async Chat Completion (POST /v1/async/sonar). Submits an asynchronous chat completion request for long-running tasks. Returns immediately with a request ID that can be polled using the Get Async Chat Completion ac
  • Create Chat Completion — Perplexity Sonar Chat Completions (POST /v1/sonar). Generates web-grounded conversational AI responses with citations. Supports multiple Sonar models optimized for different use cases: - sonar: Fast, cost-effective for s
  • Create Contextualized Embeddings — Create Contextualized Embeddings (POST /v1/contextualizedembeddings). Generates document-aware embeddings where chunks from the same document share context. Unlike standard embeddings, these recognize sequential relation
  • CreateEmbeddings — Generate vector embeddings for independent texts (queries, sentences, documents). This action takes one or more input texts and generates vector embeddings using Perplexity AI's embedding models. Embeddings are useful fo
  • Execute Agent — Create Agent Response (POST /v1/agent). Orchestrates multi-step agentic workflows with built-in tools (web search, URL fetching, function calling), reasoning, and multi-model support. Streaming is not supported by this a
  • Get Async Chat Completion — Get Async Chat Completion (GET /v1/async/sonar/{id}). Retrieves the result of an asynchronous chat completion request by its ID. Use this to poll for the result after creating an async job. The response includes the stat
  • List Async Chat Completions — List Async Chat Completions (GET /v1/async/sonar). Retrieves a list of all asynchronous chat completion requests for the authenticated user. Use this to see the status of all your pending, completed, and failed async job
  • List Models — List Models (GET /v1/models). Lists models available for the Agent API. Returns model identifiers that can be used with the Agent endpoint. The response follows the OpenAI List Models format for compatibility. This is a
  • Perplexity Search (Raw Results) — Search the Web (POST /search). Returns raw, ranked web search results directly from Perplexity's index without LLM processing. Faster and cheaper than chat completions when you need raw results. Supports filtering by dom

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