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Documentation Index

Fetch the complete documentation index at: https://docs.factagora.com/llms.txt

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

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Frame queries as research questions

Queries phrased as investigative questions produce more structured, comprehensive reports. 
# Good
{"query": "What are the economic impacts of generative AI on the labor market?"}

# Also good, topic phrase works too
{"query": "generative AI impact on labor market"}

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Be specific about scope

Overly broad queries return surface-level results. Narrow the scope with qualifiers like time period, geography, or industry. 
# Too broad
{"query": "climate change"}

# Better
{"query": "economic cost of climate change on Southeast Asian agriculture 2020-2025"}

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Use sections for structured output

The sections array in the response is designed for rendering structured reports. Map each section to a heading in your UI. 
sections.forEach(section => {
  renderSection(section.title, section.content);
});

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Cite sources in your output

Always surface the sources array to end users for transparency and credibility. Each source has a title and url field. Factagora internal sources link directly to verified claims or predictions. 
sources.forEach(source => {
  renderCitation(source.title, source.url);
});

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Use Deep Research after Fact Checker

If a claim is UNCERTAIN, use Deep Research to explore the context in depth before drawing conclusions. 
Fact Checker → UNCERTAIN → Deep Research (explore context)