Apiclaw

General overview, 11 API endpoints. AI-powered commerce data infrastructure with 200M+ Amazon products. Endpoints: category browsing, market metrics, product search, competitor lookup, realtime ASIN detail, AI review analysis, price band overview/detail, brand overview/detail, and product history. Use when user asks: what APIClaw can do, available API endpoints, how to get started, API capabilities overview, credit usage, or general commerce data questions. For deep Amazon product selection strategies and analysis workflows, use the Amazon-analysis-skill instead. Requires APICLAW_API_KEY.

📋 Live API Reference: Field names and parameters may change. If you encounter field errors, check the latest OpenAPI spec at https://apiclaw.io/api/v1/openapi-spec for current field definitions.

APIClaw — Commerce Data Infrastructure for AI Agents

200M+ Amazon products. 11 endpoints. One API key.

Quick Start

1. Get key: apiclaw.io/api-keys (1,000 free credits)
2. export APICLAW_API_KEY='hms_live_xxx'
3. Base URL: https://api.apiclaw.io/openapi/v2 — all POST with JSON body
4. Auth: Authorization: Bearer YOUR_API_KEY
5. New keys need 3-5s to activate. If 403, wait and retry.

⚠️ Critical API Pitfalls (ALL skills must follow)

1. Keyword search is broad → MUST lock categoryPath first via categories endpoint
2. Brand/price-band queries MUST include --category to avoid cross-category contamination
3. Revenue = sampleAvgMonthlyRevenue directly. NEVER calculate avgPrice × totalSales (overestimates 30-70%)
4. Sales = monthlySalesFloor (lower bound). Fallback: 300,000 / BSR^0.65, tag as 🔍
5. Use API fields directly: sampleOpportunityIndex, sampleTop10BrandSalesRate — never reinvent
6. reviews/analysis needs 50+ reviews; fallback to realtime ratingBreakdown
7. Aggregation endpoints (price-band, brand) without categoryPath produce severely distorted data
8. Price-band and brand endpoints only accept keyword (not categoryPath) — cross-validate returned products

11 Endpoints

#	Endpoint	Purpose	Key Output
1	categories	Browse/search category tree	categoryPath, productCount
2	markets/search	Market-level metrics	sampleAvgMonthlySales, sampleAvgPrice, topSalesRate, sampleNewSkuRate
3	products/search	Product search (14 modes)	asin, price, monthlySalesFloor, rating, ratingCount, fbaFee
4	products/competitors	Competitor discovery	same fields as products/search
5	realtime/product	Live ASIN detail	rating, features, bestsellersRank[], buyboxWinner.price, variants
6	reviews/analysis	AI review insights (11 dims)	sentimentDistribution, consumerInsights, topKeywords
7	products/price-band-overview	Price band summary	hottestBand, bestOpportunityBand, sampleOpportunityIndex
8	products/price-band-detail	Full 5-band distribution	priceBands[] with sales, brands, ratings per band
9	products/brand-overview	Brand concentration	sampleTop10BrandSalesRate (CR10), sampleBrandCount
10	products/brand-detail	Per-brand breakdown	brands[] with sales, revenue, sampleProducts
11	products/history	Time series (single ASIN per call)	timestamps[], price[], bsr[], monthlySalesFloor[], rating[], ratingCount[], sellerCount[], title/imageUrl/bestSeller/newRelease/aPlus/inventoryStatus changelogs

Known Quirks

• topN, listingAge, newProductPeriod are strings ("10" not 10)
• Response .data is always an array — use .data[0]
• ratingCount not reviewCount everywhere
• bsr (int) in products vs bestsellersRank (array) in realtime
• buyboxWinner.price — NOT top-level price in realtime
• realtime/product does NOT return: monthlySalesFloor, fbaFee, sellerCount
• reviewCountMin/Max filters currently broken (API-56)
• reviews/analysis may 500 for certain ASINs (API-58) — retry different ASIN
• Rate limit: 100 req/min, 10 req/sec burst
• categories uses categoryKeyword (not keyword) and parentCategoryPath (not parentCategoryName)
• reviews/analysis: mode required ("asin"/"category"), use asins (plural array) not asin

Field Differences Across Endpoints

Data	markets	products/competitors	realtime	reviews	price-band	brand	history
Sales	sampleAvgMonthlySales	monthlySalesFloor	❌	❌	sampleSalesRate	sampleGroupMonthlySales	monthlySalesFloor[]
Price	sampleAvgPrice	price	buyboxWinner.price	❌	bandMin/MaxPrice	sampleAvgPrice	price[]
BSR	sampleAvgBsr	bsr (int)	bestsellersRank[]	❌	❌	❌	bsr[]
Rating	sampleAvgRating	rating	rating	avgRating	sampleAvgRating	sampleAvgRating	rating[]
Reviews	sampleAvgReviewCount	ratingCount	ratingCount	reviewCount	❌	sampleAvgRatingCount	ratingCount[]
Insights	❌	❌	❌	✅ consumerInsights	❌	❌	❌
Concentration	topSalesRate	❌	❌	❌	sampleTop3BrandSalesRate	CR10	❌
Opportunity	❌	❌	❌	❌	sampleOpportunityIndex	❌	❌

Confidence Labels (all skills)

• 📊 Data-backed — direct API data
• 🔍 Inferred — logical reasoning from data
• 💡 Directional — suggestions, predictions

Strategy recommendations and subjective conclusions are NEVER 📊. Extreme growth (>200%) = 💡 only.

Data Notes

• Sales (monthlySalesFloor) = lower-bound estimate
• Realtime = live; products/competitors = ~T+1 delay
• Amazon US only (amazon.com) — more marketplaces planned
• Each call consumes credits; check meta.creditsConsumed

Links

• apiclaw.io · API Docs · GitHub · [e-mail]