MarketSpan: A Hallucination-Free Span Extractor and the Measured Backbone of an Auditable Mechanical-Keyboard Price Index (MMI)

Mechanical Market Intelligence (MMI) transforms 14 years of mechanical-keyboard classifieds (715k posts, 249k extracted listings) into a price-intelligence platform. It answers practical marketplace questions: current and historical value, trade value, future price, fair-value assessment, demand trends, item correlations, and trader relationships. At its core is MarketSpan, a 142M-parameter extraction model distilled from Llama-3.3-70B that is hallucination-free by design—it only copies spans from source posts and never generates information. Trained on a free Kaggle T4 in under 3 hours, it achieves 0.912 price-span F1, 0.966 post-type accuracy, and 0.746 price-item binding accuracy, significantly outperforming a from-scratch baseline. Built on this auditable foundation, MMI provides hedonic price indices, barter-graph valuations, cost prediction and forecasting, anomaly/scam detection, demand analytics, and transaction-network reconstruction. Every valuation, forecast, and deal flag is fully traceable to verbatim text in real marketplace listings, making the entire system transparent and verifiable.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-12
DOI
https://doi.org/10.5281/zenodo.20652240
Primary Topic
Stock Market Forecasting Methods
Type
preprint
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preprint

MarketSpan: A Hallucination-Free Span Extractor and the Measured Backbone of an Auditable Mechanical-Keyboard Price Index (MMI)

Commission Corner R&D, Mohit Varikuti
Zenodo (CERN European Organization for Nuclear Research)
Stock Market Forecasting Methods
preprint

MarketSpan: A Hallucination-Free Span Extractor and the Measured Backbone of an Auditable Mechanical-Keyboard Price Index (MMI)

Commission Corner R&D, Mohit Varikuti
preprint en

Abstract

Mechanical Market Intelligence (MMI) transforms 14 years of mechanical-keyboard classifieds (715k posts, 249k extracted listings) into a price-intelligence platform. It answers practical marketplace questions: current and historical value, trade value, future price, fair-value assessment, demand trends, item correlations, and trader relationships. At its core is MarketSpan, a 142M-parameter extraction model distilled from Llama-3.3-70B that is hallucination-free by design—it only copies spans from source posts and never generates information. Trained on a free Kaggle T4 in under 3 hours, it achieves 0.912 price-span F1, 0.966 post-type accuracy, and 0.746 price-item binding accuracy, significantly outperforming a from-scratch baseline. Built on this auditable foundation, MMI provides hedonic price indices, barter-graph valuations, cost prediction and forecasting, anomaly/scam detection, demand analytics, and transaction-network reconstruction. Every valuation, forecast, and deal flag is fully traceable to verbatim text in real marketplace listings, making the entire system transparent and verifiable.

Zenodo (CERN European Organization for Nuclear Research)
Stock Market Forecasting Methods
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