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Elevation Samples — String Normalisation + Base-100 Series
x402
Elevation Samples — String Normalisation + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).
Computes string normalisation and a base-100 indexed series for up to 200 elevation sample records (elevation_m, sample_weight) using local analytical engines — no external calls.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied elevation samples records (elevation_m, sample_weight). 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 per call: (1) string-normalised representation of the chosen field (elevation_m or sample_weight) across all submitted rows, and (2) a base-100 indexed series anchored at the specified base_index row. Reports are generated entirely from the supplied data using local engines, with no external data enrichment.
Example use cases
Benchmark elevation survey readings
“I have 6 elevation station readings from last week across two groups and I want to normalise the elevation_m values as strings and index them all to the first row as base-100 — can you run both reports? Here are the rows: row-1 2026-09-01 group-alpha elevation_m=120 weight=1, row-2 2026-09-02 group-alpha elevation_m=135 weight=2, row-3 2026-09-03 group-beta elevation_m=98 weight=1, row-4 2026-09-04 group-beta elevation_m=110 weight=3, row-5 2026-09-05 group-alpha elevation_m=145 weight=2, row-6 2026-09-06 group-beta elevation_m=105 weight=1. Use elevation_m as the field and base index 0.”
Track terrain weight sample drift
“Please compute the base-100 series and string normalisation for my sample_weight column across these 5 elevation observation rows — row-1 2026-08-10 group-x elevation_m=200 weight=4, row-2 2026-08-11 group-x elevation_m=210 weight=5, row-3 2026-08-12 group-y elevation_m=190 weight=3, row-4 2026-08-13 group-y elevation_m=215 weight=6, row-5 2026-08-14 group-x elevation_m=205 weight=5. Set field to sample_weight and base index to 2.”
Offline normalisation for sensor batch
“I've got a batch of 8 elevation sensor records I need processed offline — no external lookups. Run string normalisation and a base-100 series on them using elevation_m as the field starting from base index 0: row-1 2026-07-01 group-north 50 1, row-2 2026-07-02 group-north 75 2, row-3 2026-07-03 group-south 60 1, row-4 2026-07-04 group-south 80 3, row-5 2026-07-05 group-north 55 2, row-6 2026-07-06 group-south 70 1, row-7 2026-07-07 group-north 65 2, row-8 2026-07-08 group-south 85 3.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-030?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and a base-100 indexed series computed together on elevation sample data (up to 200 rows) in a single low-cost call ($0.01 USDC for both reports). It is ideal when you have structured elevation records with weights and station groups and want offline, deterministic local analytics without any live lookup, external prediction, or professional assessment. Prefer it over general statistics APIs when you specifically need the base-100 rebasing capability alongside string normalisation on the same dataset.
Side effects
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, elevation_m, sample_weight, station_group, date) — request rejected
- base_index out of range (must be 0–199 and within actual row count) — computation error
- Non-numeric values in elevation_m or sample_weight fields — schema rejection
- Empty rows array — minItems:1 not satisfied, request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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