Live API serving 6 layers of knowledge analysis. Every response cites primary sources.
https://library.gagegreengroup.com
Returns chronological primary source passages matching your query. Not generated summaries — real text from real books.
q (string, required) — search query Example: /api/v1/ask?q=fiduciary+duty
{
"query": "fiduciary duty",
"passages": [
{
"text": "Fiduciary duties are duties enforced by law...",
"source": "Pomeroy Equity Jurisprudence",
"department": "equity trusts",
"relevance": 0.94
}
],
"total": 12
}
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Searches across the live catalog and indexed full text. Returns matching texts with excerpts.
q (string, required) — search term
Returns the full catalog. Optionally filter by department.
department (string, optional) — filter by department name
Compares definitions across 5 dictionaries spanning 1828–1995. Traces the linguistic origin through languages (English → Old English → Norse → Proto-Germanic).
{
"term": "trust",
"found": true,
"dictionaries": {
"Webster's 1828": "Confidence; reliance...",
"Bouvier's 1856": "An obligation on a person...",
"Webster's 1913": "Assured reliance on the character...",
"Black's 1968": "A right of property, real or personal..."
},
"chain": [
{"form": "trust", "language": "English"},
{"form": "trost", "language": "Middle English"},
{"form": "traust", "language": "Old Norse"},
{"form": "trausti", "language": "Proto-Germanic"}
]
}
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Tracks how a legal or philosophical term's meaning changed across centuries. The delta between definitions reveals when and how meaning was altered.
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Master timeline of all dated texts in the library. 380 BCE to 2026 CE. Identifies temporal gaps where knowledge may be missing or suppressed.
Traces how a concept appears across centuries. Shows which eras discussed it most and where it disappears.
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Computes 10 knowledge properties: frequency, tradition spread, era range, polarity, citation depth, suppression index, bridge score, convergence count, rhythm period, gender ratio. Returns a composite genome score 0-100.
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Identifies authors frequently cited by texts in the library whose own works are absent. A text referenced hundreds of times but missing from every repository is a signal worth investigating.
Searches all texts for a concept, extracts claims, and identifies where sources from different departments or eras disagree.
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For any legal or philosophical doctrine, maps protective language ("grants", "empowers", "rights of") vs restrictive language ("prohibits", "subject to", "liable"). Reveals whose interests each doctrine serves.
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Returns the 78 irreplaceable bridge authors — nodes that, if removed, break entire knowledge chains between departments. Also returns the strongest cross-department citation links.
Returns all gap predictions generated from citation graph asymmetries. Each prediction identifies missing knowledge — texts that should exist based on the patterns in the graph.
Returns current library statistics: text count, departments, graph nodes/edges, dictionaries cached, prediction count, endpoints.
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Lists texts automatically acquired from Archive.org when user queries reveal gaps. The library grows from every question asked.
Downloads the complete citation graph used by the Knowledge Map visualization.
All endpoints return JSON. No authentication required for read access. Rate limit: 60 requests/minute.
Questions? library@gagegreengroup.com