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Waste Monitoring Equal-Width Histogram
x402
Waste Monitoring Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Computes an equal-width histogram over collected_kg or recycled_kg values from waste monitoring records, returning bin counts and ranges.
Price / call$0.01
Success—
StatusUnknown
How this service works
Waste monitoring - Equal-width histogram: Equal-width histogram for Waste monitoring. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded equal-width histogram deliverable.
Output
A bounded equal-width histogram deliverable containing bin definitions (lower and upper boundaries, bin width) and the frequency count of records falling into each bin, computed locally from up to 200 typed waste records without external enrichment.
Example use cases
Recycling weight distribution analysis
“I have 80 waste records for different materials collected over Q1 2025 — can you build a 10-bin equal-width histogram on the recycled_kg field so I can see how recycling amounts are distributed?”
Collected waste frequency summary
“Show me a histogram of collected_kg values across 8 equal-width bins for my landfill site's monthly pickup records — I want to know which weight ranges are most common.”
Bin count sensitivity comparison
“Can you run an equal-width histogram on our collected_kg waste data with 5 bins so I can spot if most collections are clustered around a narrow weight range or spread out?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-waste-monitoring-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, local equal-width histogram specifically over waste monitoring numeric fields (collected_kg or recycled_kg) without requiring external data enrichment or forecasting. It is ideal for quick distributional summaries of up to 200 waste records where you control bin count and field selection. Prefer this over general statistics endpoints when you specifically want binned frequency distributions in the waste/recycling domain.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- bins value outside 1–30 range returns validation error
- field value not in enum ['collected_kg','recycled_kg'] causes rejection
- All values null for selected field results in degenerate or empty histogram
- Malformed row objects missing required fields (row_id, material, date) cause errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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