# asin-check Amazon product analysis and lead finder agent. Reads product leads from a CSV/XLSX file, enriches them with Keepa pricing and sales data, caches results in Redis, and runs each product through a local LLM to get an FBA/FBM/SKIP verdict. ## Requirements - [Bun](https://bun.com) runtime - Redis (local or Docker) - [LM Studio](https://lmstudio.ai) running locally with a model loaded - Keepa API key ([keepa.com](https://keepa.com)) ## Setup ```bash bun install cp .env.example .env # Edit .env and set your KEEPA_API_KEY ``` ## Usage ```bash bun run src/index.ts [--out results.csv] ``` Examples: ```bash bun run src/index.ts leads.xlsx bun run src/index.ts leads.csv --out results.xlsx ``` ## Input file format Accepts `.csv` or `.xlsx` files. Column names are matched case-insensitively. Required column: | Column | Aliases | | ------ | ------- | | ASIN | — | Optional but recommended: | Column | Aliases | | --------------- | ---------------------------- | | Product Name | Name, Title | | Unit Cost | Cost, Price, Buy Cost | | Brand | — | | Category | — | | Amazon Rank | Amazon Rank, BSR, Sales Rank | | FBA NET | — | | Gross Profit $ | Gross Profit | | Gross Profit % | — | | MOQ | Min Order Qty | | MOQ Cost | — | | Total Qty Avail | Qty Available | | Link | URL, Source | Lead-list format aliases (supported): | Column | Aliases | | ----------------- | ------------------------------------------ | | Name | Product Name, Title, Product Title | | ASIN Link | ASIN URL, Amazon Link | | Source URL | Source Link, Supplier URL | | 90 Day Average | 90-day Average, Avg Price 90d, 90d Average | | Cost | Unit Cost, Buy Cost, Price | | Selling Price | Sale Price, Sell Price | | Net Profit | Gross Profit | | ROI | Gross Profit %, Return on Investment | | Supplier | Vendor | | Promo/Coupon Code | Promo Code, Coupon Code | | Notes | Note | | Date | Lead Date | Numeric parsing accepts plain numbers as well as formatted values like `$12.50`, `1,209.60`, and `27.5%`. ## Pipeline 1. **Read** — parse input file, validate ASINs 2. **Cache check** — look up each ASIN in Redis (24h TTL by default) 3. **Keepa fetch** — batch all uncached ASINs in a single API call (up to 100 per request) 4. **Enrich** — combine Keepa data with spreadsheet data and SP-API fee estimates 5. **LLM analysis** — send batches of 5 products to LM Studio for FBA/FBM/SKIP verdict 6. **Output** — print results table to console, optionally write CSV/XLSX ## Output columns ASIN, Name, Brand, Category, Unit Cost, Current Price, Avg Price 90d, Sales Rank, Rank Avg 90d, Sellers, Monthly Sold, Rank Drops 30d, Rank Drops 90d, FBA Net (sheet), Gross Profit $, Gross Profit %, MOQ, MOQ Cost, Qty Available, FBA Fee, FBM Fee, Referral %, Verdict, Confidence, Reasoning ## Environment variables | Variable | Default | Description | | --------------- | -------------------------- | ------------------------------- | | `KEEPA_API_KEY` | — | **Required.** Keepa API key | | `REDIS_URL` | `redis://localhost:6379` | Redis connection URL | | `LLM_URL` | `http://localhost:1234/v1` | LM Studio API base URL | | `LLM_MODEL` | `default` | Model name to pass to LM Studio | | `CACHE_TTL` | `86400` | Redis cache TTL in seconds | ## Notes - **Keepa rate limiting**: The client reads `tokensLeft` and `refillRate` from each API response and waits automatically when tokens are exhausted. With a Pro subscription (1 token/min), all 100 ASINs in a batch cost 1 token. - **Redis is optional**: If Redis is unavailable the tool runs without caching — every run re-fetches from Keepa. - **SP-API**: Fee data is currently stubbed with estimates. The `src/sp-api.ts` module has TODO comments marking where real LWA OAuth + fee endpoint calls should go.