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DataForge Pareto Analysis API
x402
DataForge Pareto Analysis API is a paid API for AI agents from dataforge-production-ba33.up.railway.app, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-14).
Performs Pareto (80/20) analysis on labeled numeric data, returning sorted items with individual and cumulative percentages
Price / call$0.004
Success—
StatusUnknown
How this service works
Low-cost statistical and analytical micro-APIs for agents and operations workflows.
Output
Returns an array of items sorted descending by value, each with its label, original value, percentage of total, and cumulative percentage. Also returns the overall total. This lets the caller immediately identify which items cross the 80% cumulative threshold.
Example use cases
Revenue concentration analysis
“Do a Pareto breakdown on my revenue by product line: Enterprise $850k, SMB $320k, Consumer $180k, Partners $90k, Other $60k — show me which ones are driving 80% of the total.”
Defect root cause prioritization
“I have defect counts by category: Misconfiguration 120, Network timeout 85, Auth failure 60, Data corruption 22, Other 13 — run a Pareto analysis so I can see which causes to tackle first.”
Cost driver identification
“Can you apply the 80/20 rule to our operational costs? Cloud infra $420k, Salaries $310k, Marketing $95k, Office $40k, Software licenses $35k, Misc $20k — I want cumulative percentages so I know where to focus cuts.”
Technical details
Endpoint
POSThttps://dataforge-production-ba33.up.railway.app/api/pareto?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, cheap, stateless Pareto (80/20) computation on a labeled dataset without building your own sorting and cumulative-sum logic. At $0.004 per call it is well-suited for agent workflows, automated reporting pipelines, or operational dashboards that need repeated ranked breakdowns without a full analytics platform.
Side effects
- Empty or missing items array returns an error or zero-item result
- Non-numeric values in the value field cause a validation error
- Missing required label or value fields on individual items may cause a 400 error
- All-zero values result in undefined percentage calculations
- Payment failure (402) if USDC payment header is missing or insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| items | array | |
| values | object |
Output
Schema · Response
{
"type": "json",
"example": {
"items": [
{
"pct": 40,
"label": "A",
"value": 40,
"cumulativePct": 40
}
],
"total": 100
}
}Tags
x402
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