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Sampling Observations — Exact Row Deduplication + Base-100 Series
x402
Sampling Observations — Exact Row Deduplication + 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 2026-10-15).
Deduplicates exact rows and computes a Base-100 indexed series for up to 200 sampling observation records (sample_value or sample_weight).
Price / call$0.01
Success—
StatusUnknown
How this service works
Sampling observations — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series for supplied sampling observations records (sample_value, 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: (1) a deduplicated version of the submitted rows with exact duplicate records removed, and (2) a Base-100 indexed series for the selected field (sample_value or sample_weight), normalized relative to the row at the specified base_index. Both reports are computed locally with no external lookups.
Example use cases
Survey data deduplication and indexing
“I've got 80 rows of market survey sample data with sample_value and sample_weight fields. Can you deduplicate any exact duplicate rows and then give me a Base-100 series on sample_value, anchored to the first row?”
Comparing weighted samples across groups
“I have sampling observations across two dataset groups — group-a and group-b — with about 120 rows. Please deduplicate the records and generate a Base-100 indexed series on the sample_weight field starting from row index 0.”
Normalizing time-series sample values for reporting
“Here are 200 rows of daily sampling observations from October 2026. Can you remove any exact duplicate rows and produce a Base-100 index series on sample_value so I can compare how values evolved relative to the starting point?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-15-047?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact-duplicate row removal and a Base-100 normalization of a numeric field (sample_value or sample_weight) from sampling observation records in a single low-cost call. It is ideal for pre-processing survey or sample datasets before further analysis, especially when you want to anchor values to a baseline index point. Prefer it over alternatives when your data fits within 200 rows and you need both deduplication and indexed series outputs together rather than separately.
Side effects
- Exceeding 200 rows causes a validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- base_index out of range (>= number of submitted rows) causes an error
- Missing required fields (row_id, dataset_group, date) causes schema validation failure
- All rows are duplicates leaving an empty deduplicated set
- sample_value or sample_weight value exceeds allowed magnitude bounds
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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