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Municipal Waste Numeric Row Ordering + Secondary-Measure Weighted Mean
x402
Municipal Waste Numeric Row Ordering + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-01).
Performs numeric row ordering and secondary-measure weighted mean analysis on municipal waste records (collected_tonnes, recycled_tonnes) for up to 200 rows, returning two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Municipal waste — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean for supplied municipal waste records (collected_tonnes, recycled_tonnes). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: (1) a numeric row ordering that ranks the supplied waste records by the chosen measure (collected_tonnes or recycled_tonnes), and (2) a secondary-measure weighted mean that computes the weighted average of the chosen field across all supplied rows, weighted by the other measure. Both reports are computed locally without external lookups.
Example use cases
Regional waste collection ranking
“I've got monthly waste collection data for 10 regions — can you rank all the rows by collected_tonnes so I can see which areas collected the most waste? I also want a weighted mean of collected_tonnes across all regions.”
Recycling rate weighted average analysis
“Here's a table of 50 municipal waste records with collected_tonnes and recycled_tonnes per date and region — please order the rows numerically by recycled_tonnes and give me the weighted mean of recycled_tonnes using collected_tonnes as the weight.”
Multi-region waste data summary
“I have quarterly waste data for 8 city districts going back two years, each row has a region, date, collected_tonnes, and recycled_tonnes — run numeric row ordering and a weighted mean on collected_tonnes so I can benchmark performance across districts.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-11-121?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have municipal waste tabular data (up to 200 rows) and need both a ranked ordering of records and a weighted mean statistic in a single low-cost call ($0.01 USDC). It is ideal for offline/local analytical workflows where no live data lookup, external API calls, or predictions are needed — just deterministic computation on supplied rows.
Side effects
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, region, date, collected_tonnes, or recycled_tonnes) — validation error
- Invalid date format (must match YYYY-MM-DD) — pattern mismatch error
- Numeric values outside allowed range (±1,000,000,000,000) — schema validation failure
- Empty rows array — minItems violation
- Invalid field enum value (must be collected_tonnes or recycled_tonnes) — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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