name: apiclaw description: "APIClaw API platform overview — AI-powered commerce data infrastructure. Provides programmatic access to 200M+ Amazon products with real-time data across 6 endpoints: category browsing, market metrics, product search, competitor lookup, realtime ASIN detail, and AI review analysis. 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." metadata: {"openclaw": {"requires": {"env": ["APICLAW_API_KEY"]}, "primaryEnv": "APICLAW_API_KEY"}}

APIClaw — Commerce Data Infrastructure for AI Agents

Real-time access to 200M+ Amazon products. 6 endpoints, one API key.

Language rule: Respond in the user's language.

Quick Start

1. Get API key: apiclaw.io/api-keys
2. Set env: export APICLAW_API_KEY='hms_live_xxx'
3. Base URL: https://api.apiclaw.io/openapi/v2
4. Auth: Authorization: Bearer YOUR_API_KEY
5. All endpoints: POST with JSON body

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New keys need 3-5 seconds to activate. If 403, wait and retry.

API Endpoints

Endpoint Details

1. Categories

Browse or search Amazon's category hierarchy.

POST /openapi/v2/categories
{"categoryKeyword": "pet supplies"}                    # search by keyword
{"parentCategoryPath": ["Pet Supplies"]}               # browse children

⚠️ Use categoryKeyword (not keyword) and parentCategoryPath (not parentCategoryName).

2. Markets

Category-level market metrics — answer "Is this market worth entering?"

POST /openapi/v2/markets/search
{"categoryPath": ["Pet Supplies", "Dogs", "Toys"], "topN": "10"}

⚠️ topN must be a string ("3", "5", "10", "20"), NOT an integer.

Returns: sampleAvgMonthlySales, sampleAvgPrice, sampleBrandCount, sampleSellerCount, topSalesRate (concentration), sampleNewSkuRate, sampleFbaRate.

3. Products

Product search with filters or 14 built-in selection modes.

POST /openapi/v2/products/search
{"keyword": "yoga mat", "mode": "beginner"}

14 modes: beginner, fast-movers, emerging, long-tail, underserved, new-release, fbm-friendly, low-price, single-variant, high-demand-low-barrier, broad-catalog, selective-catalog, speculative, top-bsr.

Key fields: atLeastMonthlySales (lower-bound estimate), bsrRank (integer), ratingCount (not reviewCount), price, profitMargin, fbaFee.

4. Competitors

Competitor discovery by keyword, brand, or specific ASIN.

POST /openapi/v2/products/competitor-lookup
{"keyword": "wireless earbuds"}
{"asin": "B09V3KXJPB"}

Returns same product fields as products/search.

5. Realtime Product

Live data for a single ASIN — current listing content and pricing.

POST /openapi/v2/realtime/product
{"asin": "B09V3KXJPB"}

Key response fields: | Field | Type | Note | |-------|------|------| | title, brand | String | Basic info | | rating, ratingCount | Float/Int | Rating data | | ratingBreakdown | Object | {five_star: {percentage, count}, ...} | | features | List | Bullet points | | bestsellersRank | Array | [{category, rank}, ...] — NOT a single integer | | buyboxWinner | Object | {price, fulfillment, seller} — price is nested here | | topReviews | List | Top reviews with title, body, rating | | variants | List | All variants with dimensions |

⚠️ Does NOT return: atLeastMonthlySales, profitMargin, fbaFee, sellerCount. Use products/competitor-lookup for those. ⚠️ Price is nested: buyboxWinner.price, NOT top-level price.

6. Review Analysis

AI-powered consumer insights from customer reviews.

POST /openapi/v2/reviews/analyze

# Single or multiple ASINs (mode + asins required)
{"mode": "asin", "asins": ["B09V3KXJPB"]}
{"mode": "asin", "asins": ["B09V3KXJPB", "B08YYYYY"]}

# Category-level insights
{"mode": "category", "categoryPath": "Pet Supplies,Dogs,Toys", "period": "90d"}

# Filter to specific dimensions
{"mode": "asin", "asins": ["B09V3KXJPB"], "labelType": "painPoints"}

⚠️ mode is required ("asin" or "category"). ⚠️ Use asins (plural, array), NOT asin (singular string).

11 insight dimensions (labelType): painPoints, improvements, buyingFactors, issues, positives, scenarios, keywords, userProfiles, usageTimes, usageLocations, behaviors.

Returns: totalReviews, avgRating, sentimentDistribution, ratingDistribution, consumerInsights, topKeywords, verifiedRatio.

⚠️ Field Differences Across Endpoints

The 4 endpoint types return different fields. Do NOT assume they share the same structure.

What Each Endpoint Is Best For

Known Quirks

1. topN and newProductPeriod are strings — use "10" not 10
2. listingAge is a string — use "180" not 180
3. All response .data is an array — use .data[0] not .data.fieldName
4. ratingCount not reviewCount — the field is called ratingCount everywhere
5. bsrRank (integer) in products/competitors vs bestsellersRank (array) in realtime
6. Rate limit: 100 req/min, 10 req/sec burst

Credits

• Each API call consumes credits
• Response includes meta.creditsConsumed and meta.creditsRemaining
• Minimum 50 reviews required for reviews/analyze (returns INSUFFICIENT_REVIEWS error otherwise)
• Plans & rates: apiclaw.io/pricing

Data Notes

• Monthly sales (atLeastMonthlySales) is a lower-bound estimate — actual may be higher
• Realtime vs database: realtime/product is live; products/competitors have ~T+1 delay
• Currently Amazon US only (amazon.com) — more marketplaces planned
• Sales estimation fallback: When atLeastMonthlySales is null → Monthly sales ≈ 300,000 / BSR^0.65

Go Deeper

For advanced Amazon product research — 14 selection strategies, risk assessment, pricing analysis, listing optimization, and operational monitoring — install the dedicated skill:

clawhub install Amazon-analysis-skill

Links

• Website: apiclaw.io
• API Docs: api.apiclaw.io/api-docs
• GitHub: github.com/SerendipityOneInc
• Support: support@apiclaw.io

这个 Skill 质量良好，文档结构清晰、内容详尽，能有效帮助用户理解 APIClaw 的6个 API 端点和数据字段差异，注意事项提示实用。优点是功能覆盖全面、说明详细、引导清晰；不足是缺乏错误处理和认证激活等常见问题的解答，信用额度和数据时效性说明偏简略，补充这些内容会让用户使用更顺畅。