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Water Temperature Observations — Exact Row Deduplication + Numeric Row Ordering
x402
Water Temperature Observations — Exact Row Deduplication + 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 2026-10-26).
Deduplicates and numerically orders up to 200 water temperature observation records (temperature_c, depth_m) using local analytical engines, returning two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Water temperature observations — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering for supplied water temperature observations records (temperature_c, depth_m). 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 analytical reports per call: one showing the exact deduplicated set of water temperature rows (duplicates removed based on all field values) and one showing the rows in ascending numeric order by the selected field (temperature_c or depth_m). Results are derived entirely from the supplied data with no external lookups.
Example use cases
Oceanographic survey data cleanup
“I collected water temperature readings from three monitoring stations over October — there are definitely duplicate rows in there. Can you deduplicate the records exactly and then order them numerically by temperature_c? Here are my rows with station_group, date, depth_m, and temperature_c values.”
Depth-ordered profile preparation
“I need to clean up this water temperature dataset before analysis — remove any exact duplicate rows and then sort everything in numeric order by depth_m. I have about 80 rows from various station groups across different dates.”
Multi-station temperature data QA
“Before I hand off these water temperature observations to my research team, can you run deduplication and numeric ordering on them? There are 120 rows with row IDs, station groups, dates, and both temperature_c and depth_m values — please analyze the temperature_c field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-25-042?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 water temperature observation records that need exact row-level deduplication and numeric ordering of temperature_c or depth_m values, and you want two independent analytical passes on the same data for cross-validation. It operates entirely on supplied data with no external network calls, making it deterministic and privacy-safe. Prefer it over generic data-cleaning tools when your dataset specifically involves water temperature and depth measurements with station group and date fields.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, station_group, date, temperature_c, depth_m) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Field selector not one of 'temperature_c' or 'depth_m' causes enum validation failure
- Empty rows array (minItems: 1 violated) causes rejection
- Payment of 0.01 USDC not completed via x402 protocol causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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