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Documentation Index

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

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

LumiLexicon’s valuation is not a guess. It searches real marketplace listings, gathers comparable sales data, and uses AI to analyze the comps in context of your specific copy’s condition and edition.

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The pipeline

1

Comp search

The system searches eBay (active + recently sold) and AbeBooks for listings matching your book’s title, author, and edition. Up to 20 relevant comps are collected.
2

Comp filtering

Irrelevant results are filtered out — wrong editions, different formats, outlier prices. Each comp is tagged with condition, dust jacket status, and first edition flag.
3

AI analysis

Claude receives the book details + real comp data and estimates a price range:
  • Low — Quick sale / fair condition estimate
  • Mid — Realistic market price
  • High — Optimal listing price for a patient seller
4

Confidence score

A confidence score (0-100) is calculated based on comp quantity, comp agreement, and data quality. Higher confidence = more reliable estimate.

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When comps fail

For genuinely rare books with few or no comparable listings, the system falls back to the Deep Search agent which searches auction house records, dealer catalogs, ViaLibri, and other rare book sources.

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Re-valuation

Valuations become stale over time. If you edit a book’s details (condition, edition info) after valuation, the system flags it for re-valuation. You can re-run valuation at any time from the book detail or via Lexi.