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

SPU market contracts require the matching service deployment and updated installed skills; see market migration.

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
📦 zoodata/	Direct access to 36 Amazon commerce and keyword-intelligence endpoints	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 value and product traffic-health workflows built on 11 keyword intelligence endpoints	Seed keyword, target keyword, ASIN, or ASIN + keyword	Expansion tiers, keyword-value analysis, product traffic structure, trends, and health diagnosis	Dedicated flows for keyword expansion, keyword analysis, and product traffic analysis
📊 amazon-market-analysis/	Discover market and product candidates, evaluate entry conditions, and track category changes	Market question, category, or product opportunity brief	Observed shortlist, conditional entry assessment, or bounded trend analysis	One connected story with separate evidence and seller-decision boundaries

⚡ 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-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
🌐 web-extract/	Structured data extraction from public web pages and search results	URL, search query, or site	Structured JSON or page content	Handles rendered pages and bounded site crawls

amazon-market-analysis is the unified market skill. The former amazon-market-entry-analyzer, amazon-market-trend-scanner, and amazon-opportunity-discoverer directories are retained as retired source only; their entrypoints are named RETIRED.md, so skill installers and publishers do not discover them.

Quick Start

1. Install the Skills

npx skills add SerendipityOneInc/ZooData-Skills

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

🏗️ Foundation:

• ZooData — 36 Amazon Commerce and Keyword Intelligence Endpoints
• Amazon Analysis — Full-Spectrum Research & Seller Intelligence
• Amazon Keyword Intelligence — Expansion, Reverse ASIN & Monitoring
• Amazon Market Analysis — Discovery, Entry & Change

⚡ 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 Pricing Command Center — RAISE/HOLD/LOWER Signals
• Amazon Review Intelligence Extractor — Consumer Insights from 1B+ Reviews
• Web Extract — Structured public web data extraction

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 fast-movers

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 20+ filters (13 preset modes via the CLI)	“Find running shoes under $80 with 4+ stars”
📊 markets/search	Category discovery and exact snapshot — size, concentration, selected Top 100 pricing	“How competitive is the yoga mat market?”
🧩 markets/profile	SPU profile and independent distribution/concentration routes	“Which price bands account for sales?”
📅 markets/history	Published SPU category-market trends	“How has this category changed by month?”
🏷️ 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 skill CLI (zoodata.py --mode) provides 13 preset modes for different research strategies. Modes are expanded into concrete filter fields (monthlySalesMin, salesGrowthRateMin, …) on the client side — mode is not an API parameter, and sending it to /openapi/v2/products/search returns 422:

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                            # 36 Amazon and keyword 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   # Keyword value and trend analysis
│       └── scenarios-product-traffic-analysis.md # Product traffic health analysis
│
├── 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-analysis/               # Market discovery, entry assessment & change
│   ├── 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
│
├── web-extract/                          # Structured public web extraction
│   ├── SKILL.md
│   └── scripts/
│       └── webtools.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.