- Apiclaw — Amazon Data Api For Ai Agents
Apiclaw — Amazon Data Api For Ai Agents
APIClaw Skills
The data infrastructure built for agents.
Currently powering Amazon commerce with 200M+ products, 1B+ reviews, and real-time signals.
Website • Get API Key • Discord • Quick Start • API Reference
What is APIClaw?
APIClaw is the data infrastructure built for agents. Not a scraping API. Not a human dashboard. A purpose-built data layer that gives your AI agents direct access to Amazon commerce signals — 200M+ indexed products, 2+ years of history, and 1B+ reviews pre-processed into structured insights. Clean JSON, real-time, agent-ready.
https://github.com/user-attachments/assets/305a161b-7a53-49b8-afdc-4469a4fbf361
Skills Overview
This repo contains 10 agent skills organized in two tiers:
🏗️ Foundation — data access and full-spectrum analysis:
| Skill | What It Does | Input | Output | Key Advantage |
|---|---|---|---|---|
📦 apiclaw/ | Direct access to all 11 API endpoints — categories, markets, products, competitors, realtime, reviews, price bands, brands, history | Keyword, category, ASIN, or brand | Raw API data with field mapping and quirk documentation | Complete API reference — every other skill builds on this |
🎯 amazon-analysis/ | 13 built-in selection modes + market research, competitor analysis, ASIN evaluation, pricing, category research | Keyword/category/ASIN + intent | Analysis findings, top products, ASIN deep dives, confidence-tagged insights | Composite commands (report, opportunity) run multi-endpoint pipelines in one shot |
⚡ Specialized — purpose-built for specific workflows:
| Skill | What It Does | Input | Output | Key Advantage |
|---|---|---|---|---|
⚔️ amazon-competitor-intelligence-monitor/ | Deep competitor intelligence — Full Scan or Quick Check with tiered alerts | Keyword or ASIN(s), optionally your ASIN + competitor ASINs | Competitor matrix, brand ranking, price map, 30-day trends, scores (1-100), tiered alerts | Dual-mode (Full ~28-35 credits, Quick ~5-10) with three-tier alert system |
📡 amazon-daily-market-radar/ | Automated daily monitoring — price changes, new competitors, BSR movements, review spikes | Your ASINs (1-10) + keyword | RED/YELLOW/GREEN alerts, KPI dashboard, competitor movement, action items | Set-and-forget with signal validation (7+ day trends vs single-day spikes) |
✅ amazon-listing-audit-pro/ | 8-dimension listing health check with optimization recommendations | Your ASIN + keyword | Score (X/100, A-F), 8-dimension scorecard, keyword gaps, priority fix list | Actionable rewrites using high-frequency review language; bulk audit support |
🚪 amazon-market-entry-analyzer/ | One-click market viability — discovers sub-markets, scores (1-100), delivers GO/CAUTION/AVOID | Keyword or category path | Sub-market landscape, verdict, market overview, brand landscape, entry strategy | Auto sub-market discovery with dual-level CR10 check |
📈 amazon-market-trend-scanner/ | Category landscape scanning — trending subcategories, emerging niches, market shifts | 1+ category paths or keywords | Trend dashboard, Hot Categories TOP 5, new entrant scan, risk alerts | Category-level trend analysis across ALL subcategories |
💎 amazon-opportunity-discoverer/ | Profile-driven opportunity scanner — auto-selects strategies, validates with real-time data, 7-dimension scoring | Budget + experience level + keyword/category | Top 10 opportunities (S/A/B/C), detailed top 3 analysis, risk alerts | Profile-driven strategy auto-selection + Quick-Scan (~10 credits) |
💰 amazon-pricing-command-center/ | Data-driven pricing signals — auto-detects leaf category, analyzes pricing landscape | One or more ASINs | RAISE/HOLD/LOWER signal, price band heatmap, competitor price map, BuyBox analysis | ASIN-only input (no keyword needed), Sales/Competition Ratio |
💬 amazon-review-intelligence-extractor/ | Deep consumer insights from 1B+ pre-analyzed reviews across 11 dimensions | Single ASIN, multiple ASINs, or category keyword | Pain points, buying factors, user profiles, usage patterns, differentiation roadmap | 1B+ pre-analyzed reviews (95% token savings), 11 dimensions |
Quick Start
1. Install the Skills
npx skills add SerendipityOneInc/APIClaw-Skills
You'll be prompted to select which skills to install:
🏗️ Foundation:
- APIClaw — Amazon Commerce Data, 11 Endpoints
- Amazon Analysis — Full-Spectrum Research & Seller Intelligence
⚡ Specialized:
- Amazon Competitor Intelligence Monitor — Dual-mode competitive intelligence with tiered alerts
- Amazon Daily Market Radar — Automated Monitoring & Alerts
- Amazon Listing Audit Pro — 8-Dimension Health Check
- Amazon Market Entry Analyzer — GO/CAUTION/AVOID Verdicts
- Amazon Market Trend Scanner — Daily Category Radar
- Amazon Opportunity Discoverer — Niche Scanner & Scoring
- Amazon Pricing Command Center — RAISE/HOLD/LOWER Signals
- Amazon Review Intelligence Extractor — Consumer Insights from 1B+ Reviews
Or clone manually:
git clone https://github.com/SerendipityOneInc/APIClaw-Skills.git
2. Set Your API Key
export APICLAW_API_KEY='hms_live_xxx' # Get yours free at apiclaw.io/en/api-keys
🎁 Free tier: 1,000 credits on signup. 1 credit = 1 API call. No credit card required.
3. Try It
Ask your AI agent:
"Analyze the competitive landscape for wireless earbuds under $50 on Amazon US"
Or use the CLI directly:
python amazon-analysis/scripts/apiclaw.py products --keyword "wireless earbuds" --mode competitive_landscape
API Endpoints
Base URL: https://api.apiclaw.io/openapi/v2
Auth: Authorization: Bearer $APICLAW_API_KEY
Method: All endpoints use POST with JSON body
| Endpoint | Description | Example Use Case |
|---|---|---|
🔍 products/search | Product search with 13 preset modes, 20+ filters | "Find running shoes under $80 with 4+ stars" |
📊 markets/search | Market-level metrics — concentration, brand share, pricing | "How competitive is the yoga mat market?" |
🏷️ products/competitors | Competitor discovery by keyword, brand, or ASIN | "Who are the top sellers in this niche?" |
⚡ realtime/product | Real-time product details — reviews, features, variants | "Get current details for ASIN B0D5CRV4KL" |
💬 reviews/analysis | AI-powered review insights — sentiment, pain points | "What do customers love/hate about this product?" |
📁 categories | Amazon category tree navigation | "Show subcategories under Electronics" |
📈 products/price-band-overview | Price band summary with best opportunity band | "What's the best price range for yoga mats?" |
📊 products/price-band-detail | Full 5-band price distribution analysis | "Show detailed price band breakdown for wireless earbuds" |
🏢 products/brand-overview | Top-brand concentration metrics (CR10) | "How concentrated is the brand landscape?" |
🏷️ products/brand-detail | Per-brand breakdown with top products | "Which brands dominate this category?" |
📅 products/history | Historical daily snapshots for ASINs | "Show price and BSR history for this ASIN" |
13 Product Search Modes
The products/search endpoint supports 13 preset modes for different research strategies:
| Mode | Strategy | Target |
|---|---|---|
fast-movers | High sales velocity | Quick revenue |
emerging | Rising trends, low saturation | Early movers |
long-tail | Niche keywords, steady demand | Sustainable income |
underserved | High demand, few sellers | Market gaps |
new-release | Recently launched products | Trending items |
fbm-friendly | Suitable for merchant fulfillment | Low-investment start |
low-price | Budget-friendly products | Volume strategy |
single-variant | Simple listings, no variants | Easy management |
high-demand-low-barrier | High sales, low review barrier | Scalable entry |
broad-catalog | Wide product range analysis | Category overview |
selective-catalog | Curated high-quality picks | Premium selection |
speculative | High-risk, high-reward opportunities | Aggressive strategy |
top-bsr | Best Seller Rank leaders | Market leaders |
Project Structure
├── apiclaw/ # Data layer skill (lightweight)
│ ├── SKILL.md # 11 endpoints, quick start
│ └── references/
│ └── openapi-reference.md # API field reference
│
├── amazon-analysis/ # Deep analysis skill
│ ├── SKILL.md # Intent routing, workflows, evaluation criteria
│ ├── references/
│ │ ├── reference.md # Full API reference
│ │ ├── execution-guide.md # Step-by-step execution playbook
│ │ ├── scenarios-composite.md # Comprehensive recommendations
│ │ ├── scenarios-eval.md # Product evaluation, risk, reviews
│ │ ├── scenarios-pricing.md # Pricing strategy
│ │ ├── scenarios-ops.md # Market monitoring, alerts
│ │ ├── scenarios-expand.md # Expansion, trends
│ │ └── scenarios-listing.md # Listing writing, optimization
│ └── scripts/
│ └── apiclaw.py # CLI — 8 subcommands, 13 preset modes
│
├── amazon-competitor-intelligence-monitor/ # Competitor intelligence & monitoring
│ ├── SKILL.md
│ ├── references/
│ │ └── reference.md
│ └── scripts/
│ └── apiclaw.py
│
├── amazon-daily-market-radar/ # Daily market pulse & anomaly detection
│ ├── SKILL.md
│ ├── references/
│ │ └── reference.md
│ └── scripts/
│ └── apiclaw.py
│
├── amazon-listing-audit-pro/ # Listing quality audit & optimization
│ ├── SKILL.md
│ ├── references/
│ │ └── reference.md
│ └── scripts/
│ └── apiclaw.py
│
├── amazon-market-entry-analyzer/ # Market viability assessment
│ ├── SKILL.md
│ ├── references/
│ │ └── reference.md
│ └── scripts/
│ └── apiclaw.py
│
├── amazon-opportunity-discoverer/ # Niche & opportunity identification
│ ├── SKILL.md
│ ├── references/
│ │ └── reference.md
│ └── scripts/
│ └── apiclaw.py
│
├── amazon-market-trend-scanner/ # Category landscape scanning & trend discovery
│ ├── SKILL.md
│ ├── references/
│ │ └── reference.md
│ └── scripts/
│ └── apiclaw.py
│
├── amazon-pricing-command-center/ # Pricing strategy & competitive signals
│ ├── SKILL.md
│ ├── references/
│ │ └── reference.md
│ └── scripts/
│ └── apiclaw.py
│
├── amazon-review-intelligence-extractor/ # Review intelligence & insight extraction
│ ├── SKILL.md
│ ├── references/
│ │ └── reference.md
│ └── scripts/
│ └── apiclaw.py
│
├── scoring-methodology.md # Unified quality scoring framework
├── CHANGELOG.md
└── README.md
Requirements
- Python 3.8+ (stdlib only, zero pip dependencies)
- APIClaw API Key (get one free)
Contributing
We welcome contributions! Please see CONTRIBUTING.md for guidelines.
Community
- 💬 Discord — Chat, get help, share what you're building
- 🐛 Issues — Bug reports and feature requests
- 📖 API Docs — Full API documentation