Perplexity Developers
@perplexitydevs
Official @perplexity_ai developer account for real-time API updates.
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Fast Search is now the default search in Hermes Agent for Nous Portal subscribers.
It’s built for agentic tasks, with single-search-call latency of 160 ms at p50 and 230 ms at p95.
Learn more:
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A new Perplexity Search SDK cookbook is live.
The recipe fans out focused searches, filters results to official docs, extracts relevant passages, and writes a source-linked brief for your coding agent.
Get started:
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Perplexity has joined the Rust Foundation.
We believe in supporting the people who build reliable open-source software. By joining the Rust Foundation, our goal is to improve how people and agents build with Rust.
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The Perplexity API MCP server now supports OAuth.
Add to your client, sign in with your Perplexity account, choose your org, and approve.
Your agent gets real-time web search, deep research, and advanced reasoning.
Get started:
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Perplexity Search API is now available in Hermes Agent.
Search API gives Hermes access to an index of more than 400 billion URLs. It returns real-time results and ranks snippets by relevance.
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Perplexity will be at RustConf 2026 next week.
@zbraniecki will present “Inside SPACE, the Rust Sandbox Platform Behind Perplexity Computer” on September 10. Then join us for happy hour from 5:30–7:30 PM.
Register at:
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Connectors are now available in Agent API.
Connect your agents to GitHub, Slack, Google Drive, and Datadog without passing a server URL or token on every request.
API Group admins can connect each service once for all API Group members.
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Introducing the Perplexity Search SDK.
It's an agent-first Python SDK that brings Perplexity's Search as Code approach to your applications.
Agents can fan out multiple searches, then filter, dedupe, and rank results in code.
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Sonar is moving to the Agent API.
The Perplexity Agent API keeps grounded web search, and adds multi-step research, code execution, built-in tools, and access to multiple models through one API.
On BrowseComp and WideSearch, Agent API more than doubles the best Sonar score.
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.@NVIDIA Nemotron 3.5 Lightning is now available in the Perplexity Agent API 🎉
An open 30B MoE model with 3B active parameters, built for the high-volume execution layer of always-on agents: tool calls, validation, and subagent work.
Pair Nemotron Lightning 3.5 with frontier models like Nemotron Ultra for planning, and let Lightning handle the volume.
Start building:
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Access the power of @Kimi_Moonshot K3 in the Perplexity Agent API. Hosted exclusively on U.S.-based servers.
Try it out today
Build with Claude Fable 5 in the Perplexity Agent API.
Developers are using Fable 5 for their hardest agent workflows. In our Agent API, Fable comes with search, retrieval, and code execution included.
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The Perplexity remote MCP server is live.
You can now connect Perplexity to Claude Code, Cursor, or VS Code with just your API key. Nothing to install.
The Perplexity CLI is now available, giving coding agents the ability to search the web.
Copy this to your agent to get set up:
"Read: and install this skill."
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We just added Skills to the Perplexity Agent API.
Agents aren't defined by a single system prompt. They are assembled from many capabilities that developers extend and compose.
For example: pair our built-in office/pdf skill with your own inline design skill and your agent produces a finished, custom-formatted PDF research report in one go.
Try our built-in skills (extended Skills Directory 🔜) or bring your own today.
Docs:
Research PDF cookbook:
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Introducing SPACE, the sandbox platform behind Perplexity Computer.
It creates isolated environments for code, files, and long-running agent sessions.
SPACE has handled 100% of Computer production traffic since June.
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I used the new wide-research preset in the Perplexity API to check the most recent earnings call for every company in the S&P 500 for mentions of "AI agents", and pull the corresponding YoY revenue growth for each.
The agent pulled historical financials and earnings call transcripts for 500 companies, with every output row cited. Computer outputted the results to a dashboard, and deployed it publicly.
Results: 66 companies mentioned AI agents, with median YoY growth +12.7% for that cohort, compared to +8.1% for the rest.
Good example of how the Perplexity API's wide-research preset can tackle an in-depth task for an n=500 use case.
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Narrow search is essentially solved. That's why simple browse/search benchmarks are so saturated.
The frontier is wide research: find every qualifying result and back each one with evidence.
Today we launched WANDR, a 500-task benchmark built on real knowledge work. It's difficult even for today's most powerful models.
Perplexity Agent API's Search as Code architecture excels on WANDR because it allows the model to design the research once and then deterministically execute it at scale without overwhelming the model’s context.
Using wide research in your existing agent research workflows? Try out our wide-research preset in Agent API:
WANDR Research Article:
Github Repo:
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The GPT-5.6 model family is now available on Perplexity's Agent API.
Every gain at the frontier compounds through Perplexity's API stack. The GPT-5.6 family sits on the Pareto frontier of our agentic research evals: higher accuracy at lower cost.
As such, we've updated our Agent API Presets. xHigh, High, and Medium (our pre-configured presets for long-running research workloads) are now better, faster and cheaper on the GPT-5.6 model family.
Check it out today:
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This agent drafts a cited VC investment memo in ~90 seconds for $0.40.
1️⃣ 4 LangGraph nodes powered by the @Perplexity_AI Agent API research financials, product, and market in parallel
2️⃣ A tool-less synthesizer writes the memo from only what they found
Deep dive:
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