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The Bigdata API gives developers three powerful ways to integrate knowledge into their AI applications:
  • Research Agent - a conversational endpoint for reasoning and analysis.
  • Workflows API - templated, reproducible research for automation.
  • Search Service - a retrieval-only endpoint for fast, precise document access.
Together, they combine information retrieval with generative AI, enabling applications to deliver accurate, context-aware responses grounded in real-time data and trusted knowledge sources.

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Research Agent

The Research Agent Service is designed for conversational intelligence. It supports multi-turn dialogue, letting users refine queries or ask follow-ups. Built on retrieval-augmented generation (RAG), it merges an LLM framework with search across the web, premium sources, and your own content.
  • What it delivers: Synthesized, context-rich answers that show reasoning, summarization, and insight.
  • Best for: Business and financial research, complex analysis, decision support.

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Workflows API

The Workflows API enables templated, reproducible research designed for automation. Unlike the conversational Research Agent, Workflows uses parameterized templates that produce consistent outputs.
  • What it delivers: Reproducible, structured research reports from reusable templates.
  • Best for: Batch processing, scheduled reports, consistent analysis across entities.

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Search Service

The Search Service is a retrieval-only API that indexes both structured and unstructured data. Unlike the Research Agent, it does not interpret or summarize content, it simply returns the most relevant documents or snippets.
  • What it delivers: Raw but precise results, optimized for low latency and high recall.
  • Best for:
    • Grounding LLMs with factual context
    • Populating context windows
    • Powering standalone search tools
    • Supplying downstream agents with curated source material

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FAQ

The Research Agent is a model endpoint designed for conversational intelligence. It supports multi-turn dialogue, allowing users to ask follow-up questions and refine their queries. Built on real-time retrieval-augmented generation (RAG), it combines an LLM framework with search capabilities across proprietary, premium, and web content sources.The result is a synthesized, context-aware response that reflects reasoning, summarization, and insight generation, ideal for business/financial analysis and complex decision support.In contrast, the Search Service is a retrieval-only API. It indexes structured and unstructured data to return the most relevant documents or snippets, without interpretation or synthesis. It’s optimized for low latency and high precision, making it ideal for tasks such as grounding LLMs, populating context windows, powering search tools, or feeding downstream agents with raw but relevant content.
  • Research Agent = LLM + RAG → contextual, reasoned answers.
  • Search = fast, relevant retrieval → raw source material.
Fast mode gives you full control over all filters for precise, deterministic, low-latency results. Smart mode handles query understanding for you, automatically inferring intent, applying filters, and running sub-queries for broader coverage. Ideal for natural-language questions without pre-processing. Higher latency than Fast mode.* You opt-in by setting external_search with mode INCLUDE and any of the supported values (e.g., web). Smart Mode then decides whether to call external search based on query intent—if it determines external search isn’t needed, no additional cost is incurred. This approach ensures you only pay for external search when it’s actually used.

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Quickstart Guides

Research Agent

Create intelligent assistants that combine web and premium data with your proprietary content for deeper insights and productivity.

Workflows API

Build reproducible, templated research workflows for automated analysis.

Search Service

Easily find the most relevant information from trusted sources and your own data. Use it to power agents that give accurate, real-time answers.
For more in-depth, practical examples that build your confidence with specific service features, explore the How-to guides section. If you’re interested in real financial use cases that deliver customer value, check out the Cookbooks section.

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Bigdata Developer Platform

We recommend using the Developer Platform to test your queries and understand how our APIs work. Also, use it to manage your API keys and monitor your API consumption and costs.

🚀 Bigdata Developer Platform

Your companion for day-to-day Bigdata API developmentThe Developer Platform is your central hub for managing, testing, and optimizing your Bigdata API integrations. Get instant business value with interactive playgrounds that make it incredibly easy to understand how our APIs work and discover their full potential.Key Features:
  • 🎮 Advanced Playgrounds: Interactive environments with visual input/output to experiment with queries and see results instantly
  • 🔑 API Management: Centralized control of your API keys and access credentials
  • 📊 Usage & Spending Tracking: Monitor your API consumption and costs in real-time
  • 📱 Demo Apps Library: Explore pre-built applications showcasing what’s possible with Bigdata APIs