# ZooData Skills > APIClaw Skills - AI Agent capabilities for Amazon Product Research - **Type:** MCP server - **Install:** `agentstack add mcp-serendipityoneinc-zoodata-skills` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [SerendipityOneInc](https://agentstack.voostack.com/s/serendipityoneinc) - **Installs:** 0 - **Category:** [Integrations](https://agentstack.voostack.com/c/integrations) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [SerendipityOneInc](https://github.com/SerendipityOneInc) - **Source:** https://github.com/SerendipityOneInc/ZooData-Skills - **Website:** https://apiclaw.io/ ## Install ```sh agentstack add mcp-serendipityoneinc-zoodata-skills ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About English | 中文 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 --- ## What is ZooData? [ZooData](https://zoodata.ai) 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 ```bash 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: ```bash git clone https://github.com/SerendipityOneInc/ZooData-Skills.git ``` ### 2. Set Your API Key ```bash 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: ```bash 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](https://zoodata.ai/en/api-keys)) ## Contributing We welcome contributions! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines. ## Community - 💬 [Discord](https://discord.gg/YfDFU9BDp5) — Chat, get help, share what you're building - 🐛 [Issues](https://github.com/SerendipityOneInc/ZooData-Skills/issues) — Bug reports and feature requests - 📖 [API Docs](https://zoodata.ai) — Full API documentation ## License [MIT](LICENSE) © [SerendipityOne Inc.](https://zoodata.ai) ## 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](https://github.com/SerendipityOneInc) - **Source:** [SerendipityOneInc/ZooData-Skills](https://github.com/SerendipityOneInc/ZooData-Skills) - **License:** MIT - **Homepage:** https://apiclaw.io/ Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/mcp-serendipityoneinc-zoodata-skills - Seller: https://agentstack.voostack.com/s/serendipityoneinc - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.