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Data Vending — Retail Ontology Subtree Dataset
x402
Data Vending — Retail Ontology Subtree Dataset is a paid API for AI agents from data-vending.869biz.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Downloads a structured retail ontology subtree dataset (nodes, edges, roots) as clean JSON, payable via x402 USDC micropayment with no signup or API key required.
Price / call$0.1
Success—
StatusUnknown
How this service works
HTTP-native dataset vending for autonomous AI agents. No signup, no API key — discover, pay USDC via x402, get clean JSON. Human-designed data with provenance and conservation revenue share.
Output
A JSON object containing the retail ontology subtree with fields: sku (retail.ontology_subtree.v1), edges (ontology edge relationships), nodes (ontology node definitions), roots (top-level ontology root nodes), and score_date (dataset freshness date, e.g. 2026-06-06).
Example use cases
Product taxonomy for e-commerce chatbot
“I need to set up my shopping assistant with a current retail product taxonomy. Can you grab the ontology subtree dataset from Data Vending and load it so the bot understands product categories and relationships?”
Training data for classification model
“We're building a classifier to automatically tag new products. Pull the retail ontology dataset from Data Vending with USDC payment and give me the clean JSON nodes and edges to train on.”
Knowledge graph enrichment for search
“Our search engine needs better product hierarchy data to improve results. Can you fetch the retail ontology subtree from Data Vending and integrate the category relationships into our knowledge graph?”
Technical details
Endpoint
GEThttps://data-vending.869biz.com/v1/datasets/retail.ontology_subtree.v1/downloadWhen to prefer
Choose this endpoint when an AI agent needs structured retail product taxonomy or category hierarchy data in clean JSON format without requiring account registration, and is capable of executing x402 USDC micropayments programmatically. Ideal for agents enriching product catalogs, training classifiers, or building retail knowledge graphs.
Side effects
- Invalid or expired quote_id returns payment/auth error
- Unsupported rail_id value (not solana-usdc or base-usdc) causes rejection
- Payment not confirmed on-chain causes 402 or access denial
- Malformed request body returns 400 bad request
- Network or server downtime returns 5xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rail_id | string | Payment rail: solana-usdc or base-usdc |
| quote_id | string | Quote id from GET .../quote |
Output
Schema · Response
{
"type": "json",
"example": {
"sku": "retail.ontology_subtree.v1",
"edges": "...",
"nodes": "...",
"roots": "...",
"score_date": "2026-06-06"
}
}Tags
x402
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