Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.platform.statista.ai/llms.txt

Use this file to discover all available pages before exploring further.

​
07. May 2026
MCP Server
  • Release of the Market Insights MCP tools for both /v1/mcp and /v1/mcp/copilot, supporting searching and fetching market insights and forcasts. For more details visit the documentation.
​
24. April 2026
MCP Server
  • The Consumer Insights fetch tool description/prompt was too long for usage in some models. We made a new, more compact prompt, including guidelines to prevent false usage.
  • The Consumer Insights fetch tool input schema includes additional information to guide LLM towards better inputs.
​
22. April 2026
MCP Server
  • The Consumer Insights fetch tool now supports calculating crosstabs across different splits. If no participant answered both questions the data is filled in based on demographics.
​
15. April 2026
MCP Server
  • Prompts/descriptions updated for Statistics and Consumer Insights tools: Unnecessary whitespace and line breaks removed.
  • Tool parameter descriptions moved from the description to the input schema, to make them more compact.
​
07. April 2026
MCP Server
  • Support for searching in Consumer Insights surveys and fetching detailed cross-tabulated data for survey question and answer combinations.
  • Consumer Insights MCP tools are available on the /v1/mcp and the Copilot specific endpoint /v1/mcp/copilot.
​
October 2025
REST API
  • Chart images are now displayed in source language.
  • total_count field now shows correct number in /search/statistics.
  • Similarity score for search results appended to /search/statistics under ranking_score.
  • Update API timeout from 5s to 30s to allow longer-running operations and avoid breakage in client systems.
  • Multilingual search queries for /search/statistics
  • Extended authorization to include both x-api-key as custom header and Authorization: Bearer.
MCP Server
  • Support DeepResearch response format and tool names under /beta/deepresearch.
  • Coerce ID parameter to avoid runtime errors when LLMs pass in a numerical string.
  • Automate MCP Client compatibility tests across LLM providers: OpenAI, Anthropic/Claude, Gemini.
  • Condense output of search-statistics tool to reduce LLM token consumption by 35%