Research agents
Search source-linked expert commentary before drafting a memo.
Examples
These examples show the retrieval patterns XData is built for: search public expert content, fetch source-linked records, and queue public URLs when useful material is missing from the corpus.
Ask for what operators, investors, researchers, or founders have said recently about a market, product, company, or technical shift.
search_content( query="GPU supply constraints and AI datacenter capex", sort="recent" )
Use the source field for a named show, publication, or newsletter. This avoids mixing source names into the topic query.
search_content( query="", source="SemiAnalysis", sort="recent" )
XData enriches records with searchable metadata, so agents can narrow broad questions to relevant people, companies, tickers, and topics.
search_content( query="model inference economics", companies=["NVIDIA", "Amazon", "Microsoft"], tickers=["NVDA", "AMZN", "MSFT"] )
Search returns content ids and snippets. Fetch the full record before writing analysis so the agent can cite the original source URL and use the stored metadata.
get_content(id="content-id-from-search")
If a public episode, video, feed, newsletter issue, or article is missing, agents can request ingestion and poll the job status.
request_ingestion( url="https://example.com/podcast-feed.xml", source_type="rss" )
Search source-linked expert commentary before drafting a memo.
Track what watched shows and newsletters published recently.
Find operator interviews about onboarding, growth, and infrastructure.
Give agents a real retrieval corpus with search and fetch tools.
https://xdata-mcp.onrender.com/mcpConnect your agent