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Elevation Samples — Base-100 Series + Keyed Dataset Comparison
x402
Elevation Samples — Base-100 Series + Keyed Dataset Comparison 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).
Runs two local analytical reports (Base-100 series normalization and keyed dataset comparison) on up to 200 supplied elevation sample records with elevation_m and sample_weight fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Elevation samples — Base-100 series + Keyed dataset comparison: Base-100 series + Keyed dataset comparison 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
Returns two analytical reports computed locally: (1) a Base-100 indexed series normalizing the chosen field (elevation_m or sample_weight) across the primary row set, and (2) a keyed dataset comparison between the primary rows and the supplied comparison dataset — covering up to 200 rows per dataset with per-row results including indexed values and comparison deltas.
Example use cases
Compare elevation readings across survey periods
“I have two sets of station elevation measurements from group-a and group-b, one from October 2025 and one from October 2026 — each up to 50 rows with row_id, date, elevation_m, and sample_weight. Can you run a Base-100 series and a keyed comparison on the elevation_m field so I can see how readings shifted between periods?”
Weighted elevation trend normalization
“I've got 120 rows of elevation samples with sample weights attached across several station groups — can you normalize the elevation_m values to a Base-100 index and compare them against a second dataset of the same structure so I can see relative changes?”
Station group elevation audit
“I need to audit elevation_m measurements from two batches of station data — 80 rows each, identified by row_id and station_group — run the Base-100 series report and the keyed dataset comparison on elevation_m so I can flag discrepancies between the two batches.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-weather-13-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected elevation sample data (with weights and station groups) that you want to normalize to a Base-100 index and simultaneously compare against a second dataset — all without any external lookup or live data fetch. It is best suited for offline, batch analytical workflows on tabular elevation records where two reports are needed in one call at low cost.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Missing required fields (row_id, station_group, date, elevation_m, sample_weight) — row rejected or error returned
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Field enum value outside allowed options (elevation_m, sample_weight) — rejected
- Empty rows array — minimum 1 item required
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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