SuperAPI AI Directory

demand-validator

Marketing & growth

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Updated 10-16 06:50

About this skill

IMPORTANT — Working Directory: All scripts in this skill MUST be executed with the working directory set to the absolute path of the directory containing this SKILL.md file (the skill root directory). Always cd into this directory before running any command. Do NOT use relative paths or shell shortcuts like ~ in paths, as they may not be resolved by the execution environment.

Demand Validator v1.0.0

Category / Market Understanding Step

Before running this skill, if the user provides a broad product category, niche, keyword, market idea, or trend topic, first identify:

  • category or niche
  • target marketplace, country, or platform
  • user's analysis goal
  • relevant seed keywords or subcategories
  • whether the request is about demand, competition, trend, opportunity, or prioritization

Use this market understanding to choose keywords, filters, regions, comparison scope, and analysis dimensions before executing the script.

Is this demand real or inflated?

Validate whether market demand is genuine by comparing search volume to actual sales.

Core Question

— Is this demand real? Search volume ≠ Sales!

When to Use

  • Validating market opportunity before investment
  • Detecting inflated/fake search volume
  • Identifying markets with high buying intent
  • Finding hidden gems with low search but high conversion

Differs From / Not Applicable

  • Use market-overview for a broad market picture.
  • Use niche-evaluator for final go/no-go entry scoring.
  • Use this skill when the question is whether search interest converts into actual buying demand.

Data Sources

Source Endpoint Data
Jungle Scout /api/v1/tools/jungle-scout/keywords/share-of-voice Monthly search volume (SOV)
Amazon Search /api/v1/tools/linkfox/amazon/search Products with sales estimates
ABA (Amazon Brand Analytics) /api/v1/tools/linkfox/aba/intelligentQuery SFR 12-week trend + Top 3 Click Share (2 queries)
eBay /api/v1/tools/linkfox/ebay/search (showOnly: Sold) Cross-platform sold listings validation
TikTok Echotik /api/v1/tools/linkfox/echotik/listProduct Social commerce demand signals
Keepa /api/v1/tools/linkfox/keepa/productSeries BSR history, seasonality, seller count trends

Core Metric: Search-to-Sale Ratio (SSR)

SSR = (Total Monthly Sales / Monthly Search Volume) × 100

SSR Benchmarks

SSR Buying Intent Meaning
> 5% 🔥 HIGH Strong conversion, real demand
2-5% 🟡 MODERATE Normal market
0.5-2% 🟠 LOW More browsing than buying
< 0.5% 🔴 VERY LOW Window shoppers, inflated search

Demand Patterns

Pattern Signal Description Risk
🟢 REAL_DEMAND High SSR + Stable Verified buying intent LOW
🟠 WINDOW_SHOPPERS High search, low sales People look but don't buy HIGH
💎 HIDDEN_GEM Low search, high conversion Under-the-radar opportunity LOW
🎭 HYPE_MARKET Massive search, tiny sales Viral but no buyers VERY HIGH
👑 MONOPOLIZED High sales concentration Few sellers dominate MEDIUM

Reality Score

Combined score (0-100) based on multiple factors:

Component Weight Description
SSR Score 40% Search-to-sale ratio
Sales Velocity 30% Total monthly sales volume
Market Distribution 20% How spread out are sales
Trend Stability 10% Consistent or volatile

Reality Score Classification

Level Score Meaning
🟢 VERIFIED 70-100 Strong, real demand
🟡 MODERATE 50-70 Real but verify further
🟠 QUESTIONABLE 30-50 May be inflated
🔴 WEAK 0-30 Likely not real demand

⚠️ MANDATORY: Charts & Display Rules

  1. Generate charts by default for full analytical reports — use --chart with an output directory unless the user asks for a quick text-only result or chart data is unavailable.
  2. Send generated charts to the user — when charts are created, share all chart PNGs immediately.
  3. All chart styling is driven by ecommerce_chart_helpers.py which reads from chart_style.json (derived from references/display-rules.md). Do NOT hardcode colors in scripts.

Usage

# Analyze keyword
python3 scripts/demand_validator.py '{"keyword": "yoga mat"}'

# Different market
python3 scripts/demand_validator.py '{"keyword": "face wash", "market": "UK"}'

# With chart output
python3 scripts/demand_validator.py '{"keyword": "kombucha"}' --chart /tmp/output

Parameters

Parameter Type Default Description
keyword string required Keyword to analyze
market string Marketplace (US/UK/DE/FR/CA/JP)

Output Structure

The output will be a structured markdown report, following this format:

Market Demand Validation Report: [Keyword]


1. Executive Summary

  • Keyword: [keyword]
  • Marketplace: [marketplace]
  • Products Analyzed: [products_analyzed]
  • Market Reality Assessment: [reality_score.level] [reality_score.emoji]
  • Demand Pattern: [demand_pattern.pattern] [demand_pattern.emoji] - [demand_pattern.description]
  • Core Insight: [insights.summary]

2. Demand & Sales Overview

  • Key Metrics:
Metric Value Unit/Description
Monthly Search Volume [search_data.monthly_search_volume] (Source: [search_data.source])
Total Monthly Units Sold [sales_data.total_monthly_units] Units
Total Monthly Revenue [sales_data.total_monthly_revenue]
Avg Sales per Product [sales_data.avg_sales_per_product] Units/Product
Avg Revenue per Product [sales_data.avg_revenue_per_product] /Product
Search-to-Sale Ratio (SSR) [demand_metrics.search_to_sale_ratio]%
Revenue per Search [demand_metrics.revenue_per_search]
Buying Intent [demand_metrics.buying_intent]

3. Market Reality Assessment

  • Assessment Results:
Metric Value Description
Reality Score [reality_score.score]
Reality Level [reality_score.level]
Cross-Platform Confidence [reality_score.cross_platform_confidence]%
Demand Pattern [demand_pattern.pattern] [demand_pattern.description] (Risk: [demand_pattern.risk])

4. Stability Analysis

  • Stability Indicators:
Indicator Value
Sales Distribution [stability_analysis.sales_distribution]
Top 10 Share [stability_analysis.top_10_share]%
Variance Level [stability_analysis.variance_level]
Stability Score [stability_analysis.stability_score]

5. Cross-Platform Validation

  • Amazon Brand Analytics (ABA) Details:
ABA Metric Value
Search Frequency Rank (SFR) [cross_platform_validation.aba.search_frequency_rank]
SFR Trend [cross_platform_validation.aba.sfr_direction]
Volume Tier [cross_platform_validation.aba.volume_tier]
Market Concentration [cross_platform_validation.aba.market_concentration]
  • ABA Top 3 Clicked ASINs:
ASIN Product Name Click Share
[cross_platform_validation.aba.top_asins[0].asin] [cross_platform_validation.aba.top_asins[0].title] [cross_platform_validation.aba.top_asins[0].share]%
[cross_platform_validation.aba.top_asins[1].asin] [cross_platform_validation.aba.top_asins[1].title] [cross_platform_validation.aba.top_asins[1].share]%
[cross_platform_validation.aba.top_asins[2].asin] [cross_platform_validation.aba.top_asins[2].title] [cross_platform_validation.aba.top_asins[2].share]%
  • Other Platform Validation:
Platform Metric Value Validation Status
eBay Units Sold [cross_platform_validation.ebay.sold_count] Demand Level: [cross_platform_validation.ebay.demand_level], Verified: [cross_platform_validation.ebay.demand_verified]
TikTok Product Count [cross_platform_validation.tiktok.product_count] Opportunity: [cross_platform_validation.tiktok.opportunity], Signal: [cross_platform_validation.tiktok.signal]
Keepa BSR Trend [cross_platform_validation.keepa.bsr_trend] Momentum: [cross_platform_validation.keepa.bsr_momentum], Seasonality: [cross_platform_validation.keepa.seasonality]

6. Actionable Recommendations

  • [First recommendation from insights.recommendations]
  • [Second recommendation from insights.recommendations]
  • ... (Listing all key recommendations)

7. Attached Visualizations

  • Search vs Sales (1_search_vs_sales.png)
  • Sales Distribution Histogram (2_sales_distribution.png)
  • Reality Score Gauge (3_reality_score.png)

Charts Generated

Chart Description File
Search vs Sales Bar comparison 1_search_vs_sales.png
Sales Distribution Histogram curve 2_sales_distribution.png
Reality Score Gauge visualization 3_reality_score.png

Insights Generated

Insight Trigger
Real Demand Verified Reality score > 70
Hidden Gem Found HIDDEN_GEM pattern
Window Shoppers Warning WINDOW_SHOPPERS pattern
Hype Market Alert HYPE_MARKET pattern
Monopolized Market Top 10 share > 80%
High Buying Intent SSR > 5%
Low Conversion SSR < 1%
ABA High Search Demand SFR ≤ 1000 (VERY_HIGH tier)
ABA Fragmented Market Top 3 click share < 40% total

ABA (Brand Analytics) Details

Two separate queries are made to the ABA intelligent query API:

  1. SFR Trend — 12-week Search Frequency Rank history

    • Lower rank = more popular
    • Trend direction: RISING / STABLE / DECLINING
    • Volume tier: VERY_HIGH (≤1000), HIGH (≤5000), MEDIUM (≤20000), LOW (≤100000)
  2. Click Share — Top 3 clicked ASINs and their click share %

    • Market concentration: MONOPOLY (top1 > 30%), CONCENTRATED (top3 > 40%), FRAGMENTED (else)
    • Used to assess whether new products can capture clicks

⚠️ Note: The region parameter must be uppercase (e.g., US, UK, DE). Lowercase will return empty data.

Category Cleaner Integration

This skill uses the category cleaner to remove noise products:

  • Accessories vs main products
  • Different product types with same keyword
  • Irrelevant items

Example: "yoga mat" removes mat bags, straps, towels.

Workflow Integration

📊 Validation Phase
├── demand-validator → Validate demand is real ← YOU ARE HERE
└── price-history-analyzer → Check for price wars
└── product-validator → Validate product data

Real-World Examples

Keyword Search Sales SSR Pattern
Face Wash 899K 1.25M 138.6% VERIFIED (repeat purchases)
Kombucha 201K 128K 63.6% REAL_DEMAND
Stainless Steel Lunch Box 37K 17.8K 48.2% HIDDEN_GEM

Limitations

  • Sales estimates are approximations
  • Search volume from Jungle Scout may lag
  • Category cleaner may be aggressive
  • High-repeat-purchase products show SSR > 100%
  • ABA click share only returns Top 3 ASINs (API limitation)
  • ABA requires uppercase region code (US/UK/DE/FR/CA/JP)

Environment Variables

Variable Required Description
NEXSCOPE_PROXY_BASE Yes NexScope proxy base URL
NEXSCOPE_API_KEY Yes NexScope proxy API key

References

  • references/display-rules.md — Chart styling guidelines