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Field Survey Coverage Data Quality Suite
x402
Field Survey Coverage Data Quality Suite is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Audits, normalises, and deduplicates up to 200 field survey coverage records (surveyed_m2, target_m2) across three independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Field survey coverage — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication for supplied field survey coverage records (surveyed_m2, target_m2). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports: (1) a record quality audit flagging issues such as missing or invalid values in the survey rows, (2) a string normalisation report for fields like station_group, and (3) an exact row deduplication report identifying fully duplicate rows. All reports are derived from the supplied data with no external lookups.
Example use cases
Pre-analysis survey dataset cleanup
“I have 150 rows of field survey coverage records with station_group names, dates, surveyed_m2 and target_m2 values — can you audit the record quality, normalise the station group strings, and flag any exact duplicate rows before I hand this off to the analysis team?”
Ecological survey QA before reporting
“Before I submit this ecological survey dataset to our compliance team, can you run the three quality checks — record audit, string normalisation, and deduplication — on these 80 survey coverage rows so I can catch any issues first?”
Automated pipeline data validation step
“As part of our weekly survey pipeline, run a record quality audit, string normalisation, and exact row deduplication on this batch of up to 200 field survey coverage records with surveyed_m2 and target_m2 columns and give me all three reports.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-22-191?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured field survey coverage tabular data (with surveyed_m2 and target_m2 columns) and need three bundled data quality operations — record audit, string normalisation, and exact deduplication — in a single low-cost call without requiring external data sources or live lookups. It is well-suited for pre-analysis data cleaning pipelines handling up to 200 rows of environmental or area-coverage survey records.
Side effects
- More than 200 rows submitted — endpoint rejects with row count exceeded error
- Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) cause validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Empty rows array returns an error
- Numeric values outside allowed range (±1,000,000,000,000) may be flagged or rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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