> ## Documentation Index
> Fetch the complete documentation index at: https://api.globalwebindex.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Which API Should I use? 

GWI offers three ways to work with our data, depending on your workflow.

* **Platform API** exposes structured variables and tables for BI and modeling.
* **Spark API** returns concise, narrative insights from natural-language or structured queries.
* **Spark MCP** (via Spark) brings those insights directly into AI assistants and agent workflows.

  The table below outlines purpose, interaction style, output format, typical users, setup effort, and best-fit scenarios for each option.

| **Feature**                      | **Platform API**                                           | **Spark API**                                                                                                 | **MCP (via Spark)**                                                                                                                                                                      |
| :------------------------------- | :--------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------ | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Purpose**                      | Extract structured data for custom analysis and dashboards | Retrieve summarized, ready-to-use insights via queries                                                        | Integrate GWI insights  directly into AI assistants and workflows                                                                                                                        |
| **Interaction mode**             | Structured API requests (parameter-based)                  | Natural language prompt or structured request                                                                 | Natural language, machine-readable query translation                                                                                                                                     |
| **Insight format**               | Raw variables and tables                                   | Summarized insights (e.g. X%s of Gen Z prefers Y)                                                             | Textualized outputs designed for LLMs/Copilots                                                                                                                                           |
| **Use case examples**            | Feed GWI data into BI dashboards, tools, or models         | Ask questions and get insights about your specific audience to help with content planning or persona building | Enable copilots to answer audience questions and use these results to shape AI model outputs - whether generating text, creating imager, or guiding the actions of agents and other MCPs |
| **End user**                     | Data analysts, data engineers                              | PMMs, researchers, content strategists                                                                        | Product, AI, innovation teams using assistants or LLM tools                                                                                                                              |
| **Setup effort**                 | High (requires integration and data handling)              | Low (requires some understanding of query structure)                                                          | Low (using natural language)                                                                                                                                                             |
| **Best for**                     | Bulk analysis, exploration, custom visualizations          | Self-serve insight discovery without logging into the platform                                                | Real-time, context aware audience intelligence inside other tools, agentic platforms and workflows.                                                                                      |
| **Common tools integrated with** | Tableau, PowerBI                                           | Internal tools, campaign planning                                                                             | Chatbots, copilots, AI agents, Claude                                                                                                                                                    |