Web infrastructure for AI to search, extract, monitor, and reason over the world's information. Start here → docs.parallel.ai
San Francisco, CA
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Capable models have gotten cheaper. Search hasn’t, until now.
Today we’re introducing Fast mode for Parallel Search: frontier-quality web search for AI that’s 10x cheaper than the default from model labs.
- $1 per 1,000 results
- 700ms p50 latency
- #3 on Artificial Analysis Search Index for intelligence
Built for task-efficient models like GPT-5.6 Luna and DeepSeek V4 Pro. 🧵
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Parallel Web Systems retweeted
can the web help AI make better predictions from wearable data?
rabbitholed this week after reading @Meta’s WearableQA paper.
tested an LLM with and without @p0 search + extract and saw a meaningful lift in questions re: heart/metabolic health and inflammatory response with web data included!
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GPT-6 Sol and Luna are now live on the Search Capability Leaderboard, our composite benchmark for measuring how well models perform web research tasks with Parallel.
🌒 GPT-6 Luna is Pareto-optimal, improving both on cost and quality compared to the previous generation and leading our efficiency leaderboard
☀️ GPT-6 Sol delivers similar capabilities to GPT-5.6 at a ~38% lower cost
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Explore the leaderboard: parallel.ai/leaderboard?utm_…
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Parallel Web Systems retweeted
Web Search:
By default, models use native search on frontier models, or the best third party search providers for open weight models.
You can pin Exa, Parallel, or Perplexity ($0.001 to $0.007 per search), or bring your own Firecrawl key.
openrouter.ai/tool/web-searc…
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Parallel Web Systems retweeted
I built a starter app for @LangChain's new Managed Deep Agents product
Allows you to perform due diligence on @Shopify and get a cited research report
Langchain is moving fast - and the product is super easy to use.
Give it a try!
Managed Deep Agents from @LangChain launched today with built-in web search powered by Parallel.
Add one MCP server to your tools file. LangSmith manages the credentials, runs the calls, and traces every search: no extra account or API key.
Bonus: It’s free during the public beta of Managed Deep Agents!
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Managed Deep Agents from @LangChain launched today with built-in web search powered by Parallel.
Add one MCP server to your tools file. LangSmith manages the credentials, runs the calls, and traces every search: no extra account or API key.
Bonus: It’s free during the public beta of Managed Deep Agents!
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muse has spoken
Parallel 🤝 Muse
Parallel Free Search can now supercharge your Muse agent. Just paste this:
Install Parallel’s MCP via Streamable HTTP at search.parallel.ai/mcp - no API key or OAuth needed. Verify it connects and exposes web_search and web_fetch and prefer for web search
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Parallel Web Systems retweeted
Parallel 🤝 Muse
Parallel Free Search can now supercharge your Muse agent. Just paste this:
Install Parallel’s MCP via Streamable HTTP at search.parallel.ai/mcp - no API key or OAuth needed. Verify it connects and exposes web_search and web_fetch and prefer for web search
Made with AI
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Parallel Web Systems retweeted
𝚖𝚊𝚗𝚊𝚐𝚎𝚍-𝚍𝚎𝚎𝚙𝚊𝚐𝚎𝚗𝚝𝚜 0.8 is here and I think it is the best thing since sliced bread
things we shipped:
🧠 agent and user memory with access policies
🌐 connect webhooks with the new HTTP channel
✋ improved human-in-the-loop support
💬 Slack channels now support images and files
🔑 improved OAuth connection options
🔒 authenticate sandbox requests via a secure proxy
🔎 search the web with Parallel (thanks @p0)
📁 a runtime sandbox files API
released for js and py! langch.in/mda
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Parallel Web Systems retweeted
Agents are the internet’s new primary customer.
Excited to partner with Parallel to give agents the access and data they need to reason on the web with confidence.
Today we're launching Data Connectors in Parallel.
Your agents can now work with specialized third-party data through Parallel's best-in-class agentic web research APIs.
Our first partners are @AlliumLabs, @useapolloio, @Baselayerhq, @CarbonArcAI, @crunchbase, Faraday AI, @harmonic_ai, @MiddeskHQ, @Similarweb , @particle_news, @pensa_systems, and @Polymarket.
We're also launching free, opt-in access to biomedical sources including PubMed, ClinicalTrials.gov, and ChEMBL.
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Parallel Web Systems retweeted
@p0 web search is 80% cheaper than ANY other web search supported in @OpenRouter - grounded in the simple belief that - as models get cheaper, so should search
Web Search:
By default, models use native search on frontier models, or the best third party search providers for open weight models.
You can pin Exa, Parallel, or Perplexity ($0.001 to $0.007 per search), or bring your own Firecrawl key.
openrouter.ai/tool/web-searc…
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Parallel Web Systems retweeted
Data is the biggest bottleneck for agents now, not models.
Parallel just made it a config line -- Crunchbase, Harmonic, Polymarket, Apollo, Similarweb, plus free PubMed and ChEMBL, live inside @p0's research APIs. Bring your own license or pay per call.
Today we're launching Data Connectors in Parallel.
Your agents can now work with specialized third-party data through Parallel's best-in-class agentic web research APIs.
Our first partners are @AlliumLabs, @useapolloio, @Baselayerhq, @CarbonArcAI, @crunchbase, Faraday AI, @harmonic_ai, @MiddeskHQ, @Similarweb , @particle_news, @pensa_systems, and @Polymarket.
We're also launching free, opt-in access to biomedical sources including PubMed, ClinicalTrials.gov, and ChEMBL.
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Today we're launching Data Connectors in Parallel.
Your agents can now work with specialized third-party data through Parallel's best-in-class agentic web research APIs.
Our first partners are @AlliumLabs, @useapolloio, @Baselayerhq, @CarbonArcAI, @crunchbase, Faraday AI, @harmonic_ai, @MiddeskHQ, @Similarweb , @particle_news, @pensa_systems, and @Polymarket.
We're also launching free, opt-in access to biomedical sources including PubMed, ClinicalTrials.gov, and ChEMBL.
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We're planning on adding new partners each week. To browse Data Connectors and request new sources, visit our new directory: parallel.ai/data-connectors?…
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Parallel Web Systems retweeted
Excited to partner with @p0 on Managed Deep Agents! You now have parallel built into your agents so your agents search the web fast and efficiently!
@travers00 @hwchase17 @VictorMoreira16
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Parallel Search MCP is now in Microsoft Foundry, enabling seamless addition of web search and page content extraction for any model.
It's free to enable and use by default, with optional paid auth to increase rate limits for production agents and workflows.
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Get started here: ai.azure.com/catalog/tools/p…
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