Apiclaw — Amazon Data Api For Ai Agents

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<a href="README.md">English</a> | <a href="README.zh-CN.md">中文</a>
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<p align="center">
<h1 align="center">ZooData Skills</h1>
</p>

<p align="center">
<b>The data infrastructure built for agents.</b><br/>
Currently powering Amazon commerce with 200M+ products, 1B+ reviews, and real-time signals.
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<p align="center">
<a href="https://github.com/SerendipityOneInc/ZooData-Skills/actions/workflows/test-zoodata.yml"></a>
<a href="LICENSE"></a>
<a href="https://zoodata.ai"></a>
<a href="https://discord.gg/YfDFU9BDp5"></a>
<a href="https://github.com/SerendipityOneInc/ZooData-Skills/stargazers"></a>
</p>

<p align="center">
<a href="https://zoodata.ai">Website</a> •
<a href="https://zoodata.ai/en/api-keys">Get API Key</a> •
<a href="https://discord.gg/YfDFU9BDp5">Discord</a> •
<a href="#quick-start">Quick Start</a> •
<a href="#api-endpoints">API Reference</a>
</p>

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What is ZooData?

ZooData 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 11 agent skills organized in two tiers:

🏗️ Foundation — data access and full-spectrum analysis:

| Skill | What It Does | Input | Output | Key Advantage |
|-------|-------------|-------|--------|---------------|
| 📦 zoodata/ | 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 |
| 🔎 amazon-keyword-traffic-analysis/ | Keyword intelligence workflows built on 8 keyword traffic endpoints | Seed keyword, target keyword, ASIN, or ASIN + keyword | Expansion tiers, single-keyword verdicts, reverse-ASIN traffic terms, anomaly explanations | Dedicated flows for keyword expansion, reverse ASIN, and keyword traffic monitoring |

⚡ 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/ZooData-Skills

You'll be prompted to select which skills to install:

🏗️ Foundation:
- ZooData — Amazon Commerce Data, 11 Endpoints
- Amazon Analysis — Full-Spectrum Research & Seller Intelligence
- Amazon Keyword Intelligence — Expansion, Reverse ASIN & Monitoring

⚡ 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/ZooData-Skills.git

2. Set Your API Key

export ZOODATA_API_KEY='hms_live_xxx'   # Get yours free at zoodata.ai/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/zoodata.py products --keyword "wireless earbuds" --mode competitive_landscape

API Endpoints

Base URL: https://api.zoodata.ai/openapi/v2
Auth: Authorization: Bearer $ZOODATA_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

├── zoodata/                              # 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/
│       └── zoodata.py                      # CLI — 8 subcommands, 13 preset modes
│
├── amazon-keyword-traffic-analysis/      # Keyword intelligence & traffic analysis
│   ├── SKILL.md
│   ├── README.md
│   └── references/
│       ├── reference.md                    # Keyword endpoint reference
│       ├── execution-guide.md              # Execution and monitoring rules
│       ├── scenarios-expand.md             # Keyword expansion
│       ├── scenarios-keyword-analysis.md   # Single-keyword evaluation
│       ├── scenarios-reverse-asin.md       # Reverse ASIN analysis
│       └── scenarios-keyword-traffic-diagnosis.md # Keyword traffic anomaly diagnosis
│
├── amazon-competitor-intelligence-monitor/  # Competitor intelligence & monitoring
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-daily-market-radar/            # Daily market pulse & anomaly detection
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-listing-audit-pro/             # Listing quality audit & optimization
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-market-entry-analyzer/         # Market viability assessment
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-opportunity-discoverer/        # Niche & opportunity identification
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-market-trend-scanner/           # Category landscape scanning & trend discovery
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-pricing-command-center/        # Pricing strategy & competitive signals
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── amazon-review-intelligence-extractor/    # Review intelligence & insight extraction
│   ├── SKILL.md
│   ├── references/
│   │   └── reference.md
│   └── scripts/
│       └── zoodata.py
│
├── scoring-methodology.md                # Unified quality scoring framework
├── CHANGELOG.md
└── README.md

Requirements

- Python 3.8+ (stdlib only, zero pip dependencies)
- ZooData 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

License

MIT © SerendipityOne Inc.