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Numeric Precision Comparisons — Trailing Mean Series + Base-100 Series
x402
Numeric Precision Comparisons — Trailing Mean Series + 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).
Computes trailing mean series and base-100 index series for supplied source_value/transformed_value pairs, producing two analytical reports for up to 200 rows of numeric precision comparison data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Numeric precision comparisons — Trailing mean series + Base-100 series: Trailing mean series + Base-100 series for supplied numeric precision comparisons records (source_value, transformed_value). 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 for the supplied rows: (1) a trailing mean series computed over the specified window for the chosen field (source_value or transformed_value), and (2) a base-100 index series anchored at the specified base index position — both covering up to 200 input rows with row_id and dataset_group context preserved.
Example use cases
Validate ETL transformation accuracy
“I ran an ETL pipeline that transforms raw sales figures — can you compute the trailing mean series with a window of 3 and a base-100 index starting at position 0 for my source_value field across these 50 rows of before/after data so I can see where the transformation drifts?”
Track currency conversion drift over time
“I have daily source exchange rates and their converted values for the past 60 trading days — please run a trailing mean with window 5 and a base-100 series anchored at day 0 on the source_value column so I can spot where the conversion starts to deviate.”
Benchmark ML model output vs ground truth
“My ML model outputs predicted scores alongside ground-truth scores for 150 test samples — generate a trailing mean series with window 10 and a base-100 index series at base index 0 on the transformed_value field so I can visualize how predictions trend relative to actuals.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-20-147?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already-collected numeric comparison data (source vs transformed values) and need both a smoothed trailing mean series and a base-100 normalized index series computed locally without any external data lookups. Ideal for validating ETL pipelines, benchmarking model outputs, or auditing numeric transformations at low cost ($0.01 for both reports on up to 200 rows). Not appropriate if you need live data fetching, predictions, or more than 200 rows per call.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — request rejected
- Window size larger than number of rows — trailing mean series may be empty or partial
- base_index out of range for supplied row count — error or undefined anchor
- Null values in source_value or transformed_value may cause gaps in series output
- Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| base_index | integer |
Tags
x402
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