Google SERP, 54-Week Trends & News JSON Previewer.

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    "query": "best ai search apis for rag agents",
    "country": "US",
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      {
        "position": 1,
        "title": "Web Search Tool Integrations for Agentic RAG | LangChain Docs",
        "url": "https://python.langchain.com/docs/integrations/tools/",
        "domain": "python.langchain.com",
        "displayed_url": "python.langchain.com › docs › integrations › tools",
        "snippet": "Ground LLM agents with real-time web search SERP JSON, canonical URLs, People Also Ask context, and related_keywords expansion in a single tool call.",
        "favicon": "https://www.google.com/s2/favicons?domain=langchain.com&sz=64",
        "published_at": null
      },
      {
        "position": 2,
        "title": "Top 16 RAG Platform & Search API Options for Production GenAI",
        "url": "https://www.chatbees.ai/blog/rag-platforms-and-search-apis",
        "domain": "chatbees.ai",
        "displayed_url": "chatbees.ai › blog › rag-platforms-and-search-apis",
        "snippet": "Compare real-time Google SERP JSON gateways, hybrid retrieval pipelines, and low-latency grounding APIs built for multi-step AI research agents.",
        "favicon": "https://www.google.com/s2/favicons?domain=chatbees.ai&sz=64",
        "published_at": "2026-05-20"
      },
      {
        "position": 3,
        "title": "Which Search Method Should I Use for My RAG Pipeline? — Teneo AI",
        "url": "https://www.teneo.ai/blog/which-search-method-should-i-use-for-my-rag-pipeline",
        "domain": "teneo.ai",
        "displayed_url": "teneo.ai › blog › which-search-method-should-i-use",
        "snippet": "Choosing the right search layer for RAG: live Google organic rankings, query expansion via related_keywords, semantic re-ranking, and HYDE retrieval.",
        "favicon": "https://www.google.com/s2/favicons?domain=teneo.ai&sz=64",
        "published_at": null
      },
      {
        "position": 4,
        "title": "Building Agentic Search Workflows with Live Web Grounding | LlamaIndex",
        "url": "https://docs.llamaindex.ai/en/stable/understanding/agent/",
        "domain": "docs.llamaindex.ai",
        "displayed_url": "docs.llamaindex.ai › en › stable › agent",
        "snippet": "Combine vector index retrieval with live web SERP endpoints so autonomous agents verify fresh facts, citations, and related follow-up queries.",
        "favicon": "https://www.google.com/s2/favicons?domain=llamaindex.ai&sz=64",
        "published_at": "2026-07-13"
      },
      {
        "position": 5,
        "title": "Search and Retrieval APIs for Autonomous Research Agents — Saxi AI",
        "url": "https://saxi.ai/collections/search-and-rag-apis",
        "domain": "saxi.ai",
        "displayed_url": "saxi.ai › collections › search-and-rag-apis",
        "snippet": "Benchmarking latency, per-1,000 query unit economics ($0.20/1K vs $15/1K legacy scrapers), and canonical URL accuracy across developer search APIs.",
        "favicon": "https://www.google.com/s2/favicons?domain=saxi.ai&sz=64",
        "published_at": null
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    ],
    "people_also_ask": [
      {
        "question": "What is the fastest web search API for LangChain and RAG agents?",
        "snippet": "Low-latency JSON SERP gateways return ~87 direct canonical URLs, snippets, related_keywords, and People Also Ask context in under 250ms warm cache without headless browsers.",
        "title": "Benchmarking Web Search APIs for Production RAG Pipelines (2026)",
        "url": "https://python.langchain.com/docs/integrations/tools/"
      },
      {
        "question": "How much does a SERP API cost per 1,000 queries?",
        "snippet": "Legacy residential SERP scrapers charge $10–$15 per 1,000 searches ($75/month entry plans), while modern edge-cached JSON gateways start at $0.08–$0.20 per 1,000 queries.",
        "title": "SERP API Unit Economics for AI Startups",
        "url": "https://docs.llamaindex.ai/en/stable/"
      },
      {
        "question": "Why use native related_keywords in agentic RAG query fan-out?",
        "snippet": "Every /v1/search response natively includes deduplicated related_keywords from Google SERP, letting RAG agents expand multi-hop sub-queries without extra LLM calls.",
        "title": "Multi-Hop Query Expansion for Deep Research Agents",
        "url": "https://searchdataapi.com/docs/search"
      }
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