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DataNexusAI Product Analyzer
x402
DataNexusAI Product Analyzer is a paid API for AI agents from api.datanexusai.org, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-10).
Analyzes a product listing URL to extract normalized attributes, category classification, quality scores, and SEO suggestions
Price / call$0.01
Success—
StatusUnknown
How this service works
Public data API for SEBRA payments, PTP road accidents, EU agri-food prices, Eurostat energy (+ ETS), and trade/market analytics. Paid data endpoints use x402 (USDC micropayments). HTML docs at `/api/` are free and are intentionally omitted from this OpenAPI document so discovery scanners do not probe them as paid resources. Machine-readable discovery: `https://api.datanexusai.org/openapi.json`, `https://api.datanexusai.org/llms.txt`, `https://api.datanexusai.org/.well-known/x402`. Human docs: `/docs` and `/api/`.
Output
Returns a JSON object containing: normalized product title, category classification with hierarchical path and confidence score, product attributes (brand, color, gender, material, use, product type), quality scores (overall, title, description), SEO score with a suggested optimized title, a list of detected issues, and a list of missing attributes.
Example use cases
E-commerce listing quality audit
“Run a quality and SEO analysis on this product page https://store.example.com/adidas-ultraboost-22 — I want to see the quality score, title score, suggested SEO title, and which attributes are missing.”
Auto-categorize new product imports
“I just imported a new shoe to our catalog at https://myshop.com/products/running-shoe-mens-blue — can you classify it into the right product category and extract all its attributes like color, gender, and material?”
Identify weak listings before launch
“Before we go live, check the product page at https://example.com/products/mesh-sneakers-womens and tell me if there are any issues, what the description quality score is, and what attributes we're missing.”
Technical details
Endpoint
GEThttps://api.datanexusai.org/api/v1/product/analyze?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need structured, machine-readable product data extracted from a live product URL — particularly when you want category classification with confidence scores, SEO title suggestions, and attribute completeness auditing all in a single call. Prefer this over generic web scrapers when you need normalized e-commerce taxonomy output rather than raw HTML.
Side effects
- Invalid or unreachable product URL returns an error or empty analysis
- Non-product URLs may produce low-confidence or incomplete category classification
- Missing required 'input' field returns a 400 validation error
- Payment failure via x402 returns 402 Payment Required before analysis runs
- Rate limiting or server errors may return 429 or 5xx responses
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"seo": {
"score": 84,
"suggested_title": "Nike Air Max 270 Men's Black Running Shoes"
},
"issues": [],
"product": {
"brand": "Nike",
"category": {
"id": "fashion.footwear.sneakers",
"path": "Fashion > Footwear > Shoes > Sneakers",
"confidence": 0.86
},
"normalized_title": "Nike Air Max 270 Men's Black Running Shoes"
},
"quality": {
"score": 82,
"title_score": 91,
"description_score": 78
},
"endpoint": "product_analyze",
"attributes": {
"use": "running",
"brand": "Nike",
"color": "black",
"gender": "men",
"material": "mesh",
"product_type": "sneakers"
},
"api_version": "v1",
"missing_attributes": [
"size"
]
}
}Tags
x402
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