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        "title": "Parallel.ai 🔬",
        "body": "High-accuracy web search API built for AI agents. Outperforms Perplexity/Exa on research benchmarks."
      },
      {
        "title": "Setup",
        "body": "pip install parallel-web\n\nAPI key is configured. Uses Python SDK.\n\nfrom parallel import Parallel\nclient = Parallel(api_key=\"YOUR_KEY\")\nresponse = client.beta.search(\n    mode=\"one-shot\",  # or \"fast\" for lower latency/cost, \"agentic\" for multi-hop\n    max_results=10,\n    objective=\"your query\"\n)"
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      {
        "title": "Modes",
        "body": "ModeUse CaseTradeoffone-shotDefault, balanced accuracyBest for most queriesfast ⚡Quick lookups, cost-sensitiveLower latency/cost, may sacrifice some accuracyagenticComplex multi-hop researchHigher accuracy, more expensive"
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        "title": "Quick Usage",
        "body": "# Default search (one-shot mode)\n{baseDir}/.venv/bin/python {baseDir}/scripts/search.py \"Who is the CEO of Anthropic?\" --max-results 5\n\n# Fast mode - lower latency/cost ⚡\n{baseDir}/.venv/bin/python {baseDir}/scripts/search.py \"latest AI news\" --mode fast\n\n# Agentic mode - complex research\n{baseDir}/.venv/bin/python {baseDir}/scripts/search.py \"compare transformer architectures\" --mode agentic\n\n# JSON output\n{baseDir}/.venv/bin/python {baseDir}/scripts/search.py \"latest AI news\" --json"
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        "body": "Returns structured results with:\n\nsearch_id - unique search identifier\nresults[] - array of results with:\n\nurl - source URL\ntitle - page title\nexcerpts[] - relevant text excerpts\npublish_date - when available\n\n\nusage - API usage stats"
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        "body": "Deep research requiring cross-referenced facts\nCompany/person research with citations\nFact-checking with evidence-based outputs\nComplex queries that need multi-hop reasoning\nHigher accuracy than traditional search for research tasks"
      },
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        "title": "API Reference",
        "body": "Docs: https://docs.parallel.ai\nPlatform: https://platform.parallel.ai"
      }
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    "body": "Parallel.ai 🔬\n\nHigh-accuracy web search API built for AI agents. Outperforms Perplexity/Exa on research benchmarks.\n\nSetup\npip install parallel-web\n\n\nAPI key is configured. Uses Python SDK.\n\nfrom parallel import Parallel\nclient = Parallel(api_key=\"YOUR_KEY\")\nresponse = client.beta.search(\n    mode=\"one-shot\",  # or \"fast\" for lower latency/cost, \"agentic\" for multi-hop\n    max_results=10,\n    objective=\"your query\"\n)\n\nModes\nMode\tUse Case\tTradeoff\none-shot\tDefault, balanced accuracy\tBest for most queries\nfast ⚡\tQuick lookups, cost-sensitive\tLower latency/cost, may sacrifice some accuracy\nagentic\tComplex multi-hop research\tHigher accuracy, more expensive\nQuick Usage\n# Default search (one-shot mode)\n{baseDir}/.venv/bin/python {baseDir}/scripts/search.py \"Who is the CEO of Anthropic?\" --max-results 5\n\n# Fast mode - lower latency/cost ⚡\n{baseDir}/.venv/bin/python {baseDir}/scripts/search.py \"latest AI news\" --mode fast\n\n# Agentic mode - complex research\n{baseDir}/.venv/bin/python {baseDir}/scripts/search.py \"compare transformer architectures\" --mode agentic\n\n# JSON output\n{baseDir}/.venv/bin/python {baseDir}/scripts/search.py \"latest AI news\" --json\n\nResponse Format\n\nReturns structured results with:\n\nsearch_id - unique search identifier\nresults[] - array of results with:\nurl - source URL\ntitle - page title\nexcerpts[] - relevant text excerpts\npublish_date - when available\nusage - API usage stats\nWhen to Use\nDeep research requiring cross-referenced facts\nCompany/person research with citations\nFact-checking with evidence-based outputs\nComplex queries that need multi-hop reasoning\nHigher accuracy than traditional search for research tasks\nAPI Reference\n\nDocs: https://docs.parallel.ai Platform: https://platform.parallel.ai"
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