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Municipal Waste Record Quality Audit + Numeric Row Ordering
x402
Municipal Waste Record Quality Audit + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Audits data quality and applies numeric row ordering to municipal waste records (collected_tonnes, recycled_tonnes) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Municipal waste — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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
Two independent reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, duplicates, or formatting errors in the municipal waste records; and (2) a numeric row ordering report ranking all supplied rows by the specified field (collected_tonnes or recycled_tonnes). Both reports are generated locally without external lookups or predictions.
Example use cases
Pre-analysis waste data validation
“I have a batch of 150 municipal waste records with collected_tonnes and recycled_tonnes values. Can you audit them for quality issues and then rank the rows numerically by collected_tonnes so I can see which entries might be problematic before I run my main analysis?”
Regional recycling data QA
“We've collected recycled_tonnes data across 12 regions over several months and I need to check for nulls, out-of-range values, and other quality problems, plus get the rows ordered by recycled_tonnes — can you run both reports on my dataset?”
Monthly waste report preparation
“Before I submit our monthly waste report, can you do a record quality audit and numeric row ordering on the 80 rows I'm supplying, checking the collected_tonnes field for ordering, so I can catch any data issues first?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-11-007?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a structured data quality audit and numeric ordering of municipal waste tonnage records in a single call for up to 200 rows. It is well-suited for pre-analysis data validation pipelines, waste management reporting workflows, or any scenario where you want to surface data issues and rank rows by a tonnage field without relying on external lookups or predictions. Prefer this over general-purpose data tools when working specifically with collected_tonnes and recycled_tonnes fields in a regional, date-keyed format.
Side effects
- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, region, date, collected_tonnes, recycled_tonnes) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — rejection
- Empty rows array — minItems violation
- Invalid field enum value — only 'collected_tonnes' or 'recycled_tonnes' accepted
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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