Openperplex

@Openperplex search for recent developments in quantum computing error correction and stream the results as they come in

Streaming search results now. Found 12 relevant sources published in the last 30 days. Top results include: a Nature paper on surface code improvements (March 2024), IBM's blog post on their 1,000+ qubit processor error rates, and a preprint discussing topological qubit stability. Results include titles, URLs, publication dates, and brief excerpts. Stream completed in 4.2 seconds with citations ranked by relevance and recency.

This example shows the streaming search capability, which returns results progressively rather than all at once. Useful for time-sensitive research where you want to see findings immediately. Requires API key authentication and consumes search quota per query. Result quality depends on Openperplex's index coverage and ranking algorithm.

@Openperplex get the markdown content from https://example.com/technical-spec and extract the system requirements section

Retrieved markdown content from the specified URL (2,847 words total). The system requirements section indicates: minimum 16GB RAM, Python 3.9+, CUDA 11.8 for GPU acceleration, and Ubuntu 20.04 or macOS 12+. The markdown uses GitHub-flavored format with code blocks for installation commands and a table comparing CPU vs GPU performance benchmarks. Full document structure preserved including headers, lists, and inline code formatting.

Demonstrates web content extraction in structured markdown format, which preserves formatting better than plain text extraction. The AI can then parse and answer questions about the content. Requires the target URL to be publicly accessible—won't work behind authentication or paywalls. Markdown conversion quality varies by source page complexity.

@Openperplex query this documentation URL https://docs.example.com/api/v2 with the question 'What are the rate limits for the search endpoint?'

Queried the documentation and found: The search endpoint has a rate limit of 100 requests per minute for standard tier accounts and 500 requests per minute for enterprise tier. Rate limit headers are returned in responses: X-RateLimit-Remaining and X-RateLimit-Reset. Exceeding limits returns HTTP 429 with a retry-after value. The documentation also notes that batch search operations count as multiple requests based on query count.

This showcases the Query from URL tool, which combines document retrieval with natural language question-answering. The MCP fetches the content and applies the query, returning a targeted answer rather than the full document. Most effective with well-structured documentation. Response accuracy depends on how clearly the source material addresses the question.

When Openperplex beats manual research for feature discovery

A 6-person product team at a B2B SaaS company runs quarterly roadmap reviews where they scan competitor blogs, changelog pages, and feature announcements to spot trends. Openperplex's Custom Search with filtering lets them query "new AI features in project management tools" and pull structured results across 20+ competitor sites in under a minute, then use Get Website Markdown to archive the full context for later review. The real win is the Query from URL tool: drop a competitor's pricing page URL and ask "what enterprise features are gated behind the top tier" without opening a browser. If your team does this research monthly or more, and you're tracking 10+ competitors, Openperplex pays for itself in saved context-switching. If it's ad-hoc once a quarter, bookmark the sites and do it manually.

Why Openperplex works for distributed doc lookups

A 3-person support team at a dev tools startup fields questions that span their own docs, third-party integration guides, and community forum threads scattered across GitHub, Stack Overflow, and Discord archives. Openperplex's Search Documents and Custom Search Stream tools let them query "how to authenticate Stripe webhooks with Next.js" and get real-time results from multiple sources without toggling tabs or remembering which site hosts what. The Get Website Text tool extracts clean content from paywalled or JavaScript-heavy pages that normal scrapers choke on. This setup shines when your knowledge base is fragmented across 5+ external domains and your team answers 20+ tickets a day. If your docs are centralized in Notion or a single help center, you don't need this—just use native search.

When Openperplex replaces manual link aggregation

A solo content marketer at a fintech startup publishes a weekly newsletter summarizing regulatory updates, competitor moves, and industry commentary. Openperplex's Search Stream tool runs standing queries like "CFPB fintech guidance" and surfaces new results as they publish, while Get Website Screenshot captures visual proof of UI changes on competitor dashboards for side-by-side comparisons. The Custom Search with field selection lets her pull just headlines and publish dates to build a digest without opening 30 tabs. If you're publishing weekly or more and aggregating from 10+ sources, Openperplex cuts research time by half. If it's monthly or your sources have RSS feeds, stick with Feedly and save the API cost.