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Humidity Observations — String Normalisation + Duplicate Key Report
x402
Humidity Observations — String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Runs string normalisation and duplicate key detection on uploaded humidity observation records (humidity_percent, observation_count), returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Humidity observations — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied humidity observations records (humidity_percent, observation_count). 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 analytical reports: (1) a string normalisation report identifying and standardising inconsistent string values across text fields (row_id, station_group, date), and (2) a duplicate key report flagging rows with repeated or conflicting key combinations, covering up to 200 input rows.
Example use cases
Weather station data quality audit
“I've got a batch of humidity readings from multiple station groups and I need to check for duplicate row IDs and normalise the station group name strings before I load them into our database — can you run the string normalisation and duplicate key reports on these 80 rows?”
Pre-pipeline humidity data cleansing
“Before I merge these humidity observation records into our analytics pipeline, can you scan them for duplicate keys and normalise any inconsistent text fields? There are about 120 rows with humidity_percent and observation_count values across several station groups.”
Data validation before reporting
“I'm preparing a humidity dataset for a monthly environmental report and need to make sure there are no duplicate entries and the string fields are consistently formatted — can you run both the duplicate key and string normalisation reports on my 35 observation rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-04-021?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and duplicate key detection specifically on humidity observation records (humidity_percent, observation_count) in a single low-cost call. It is ideal for pre-ingestion data quality checks on weather station datasets of up to 200 rows where no live data lookup, forecasting, or external enrichment is needed.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date) cause row-level validation errors
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Empty rows array returns an error
- Numeric values outside allowed range may cause processing errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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