ZooData Skills

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ZooData 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

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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/](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/](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-keywords/](amazon-keywords/) | Keyword intelligence workflows built on 6 keyword 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 monitoring |

⚡ Specialized — purpose-built for specific workflows:

| Skill | What It Does | Input | Output | Key Advantage | |-------|-------------|-------|--------|---------------| | ⚔️ [amazon-competitor-intelligence-monitor/](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/](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/](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/](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/](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/](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/](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/](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-keywords/                      # 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](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](LICENSE) © SerendipityOne Inc.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: SerendipityOneInc
• Source: SerendipityOneInc/ZooData-Skills
• License: MIT
• Homepage: https://apiclaw.io/

Install and usage instructions live in the source repository linked above.