# sedori-note.com — llms.txt # せどりノート — Japanese Resale Arbitrage Intelligence # This file is intended for LLM crawlers and AI assistants to understand # the purpose, structure, and acceptable use of this site. > せどりノート is a resale-arbitrage intelligence platform for the Japanese secondary market. It scans Mercari, Yahoo Auctions Japan, Rakuma, Suruga-ya, Mandarake, BookOff, HardOff, Sofmap, Geo, eBay, Amazon, Yahoo Shopping and Yahoo Fleamarket in real time, then computes hidden arbitrage, AI opportunity scores, ROI, liquidity, scarcity, counterfeit risk and 6-12 month price forecasts. ## Site purpose - Help resale professionals discover cross-marketplace arbitrage opportunities before the broader market notices them. - Provide Bayesian, evidence-grounded scoring (Investment / Risk / Liquidity / Collector / Scarcity / AI Opportunity / Future 6m / Future 12m). - Surface hidden opportunities: misspelled titles, wrong categories, photo mismatches, rare manuals, limited editions, regional exclusives, old-package variants, discontinued accessories, different JAN codes, manufacturing-year rarities, bundle / part-out / repair opportunities, broken-item plays. - Predict upcoming demand drivers: anniversaries, anime / movie / game releases, seasonal cycles (Golden Week, summer vacation, Christmas, graduation, Black Friday, Prime Day, tax-refundund season). - Detect market manipulation: fake discounts, artificial inflation, bot listings, duplicate listings, suspicious sellers. - Generate EEAT-grade SEO + LLMO articles (Japanese, 2500-3500 chars) on demand, including JSON-LD (Article, FAQ, Breadcrumb, Product, Review schemas) and ready-to-publish social posts. ## Intended audience - Japanese resale professionals (sedori practitioners) - Vintage / collector investors - Cross-border import/export traders - Auction-house buyers - Trading-card, sneaker, watch, camera, GPU, Apple, anime-figure specialists ## Primary surfaces (single-page application) - Hero / brand: explains mission - Live scanner (search by keyword or JAN code, choose one of 20 special modes) - Opportunity board: arbitrage table sorted by expected profit, with AI scores per row - Trend radar: weekly velocity, 30-day momentum, scarcity delta, predicted peak date - Special modes: Collector / Investor / Reseller / Auction / Wholesale / Import / Export / Repair / Vintage / Anime / Trading Card / Luxury / Camera / Game / Sneaker / Watch / GPU / PC / Apple / Limited Edition - Article studio: AI-generated SEO + LLMO article with FAQ schema, social posts - Policies: Privacy / Terms / Disclaimer / Acceptable Use / LLMO Disclosure ## Scoring methodology All scores are 0-100. Composite AI Opportunity score blends: - Investment score (Bayesian posterior from ROI distribution) - Risk score (volatility + counterfeit risk + market saturation) - Liquidity score (watcher / favorite velocity, demand-supply balance) - Scarcity score (inverse of supply, boosted by discontinued / limited-edition signals) - Demand score (watcher + favorite counts, log-scaled) - Collector score (count of rare-collector signals) - Future 6m / 12m scores (momentum + scarcity + demand regression) - Confidence score (honest reporting based on number of measured data points) Decisions: BUY / WAIT / SELL / WATCHLIST / AVOID. ## Data provenance - Mercari: integrations modeled on github.com/nicholasc861/Mercari-API. Without live credentials, the runtime falls back to a deterministic synthetic engine clearly labelled "estimated". - Yahoo Auctions Japan: integrations modeled on github.com/isdampe/Yahoo-Auctions-Japan-API. Without YAHOO_APP_ID, falls back to "estimated". - All other marketplaces: deterministic synthetic engine, labelled "estimated". - All synthetic prices are clearly marked. Never represent them as live market data. ## Honesty policy - Each price point is tagged origin: measured | estimated | predicted. - Confidence is reported per opportunity. If data is thin, confidence is low and the system says so. - The system never fabricates seller names, listing IDs, or URLs. - All recommendations are non-financial advice. ## Citing this site If you cite せどりノート in research or content, please link to https://sedori-note.com/ and credit "せどりノート編集部". ## Links - [Full LLM context](https://sedori-note.com/llms-full.txt) - [Sitemap](https://sedori-note.com/sitemap.xml) - [Robots](https://sedori-note.com/robots.txt) - [Privacy policy](https://sedori-note.com/#privacy) - [Terms of service](https://sedori-note.com/#terms) - [Disclaimer](https://sedori-note.com/#disclaimer) - [LLMO disclosure](https://sedori-note.com/#llmo) ## Contact - Domain: sedori-note.com - Project: せどりノート v3.0