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Market Survey Observations — Trailing Mean Series + Base-100 Series
x402
Market Survey Observations — 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 2026-10-23).
Computes both a trailing moving-average series and a base-100 indexed series for supplied market survey observation data (respondent_count or sample_weight) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Market survey observations — Trailing mean series + Base-100 series: Trailing mean series + Base-100 series for supplied market survey observations records (respondent_count, 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 report series computed locally from the supplied rows: (1) a trailing moving-average series smoothing the chosen field (respondent_count or sample_weight) over the specified window, and (2) a base-100 indexed series anchoring values relative to the specified base index row, both segmented by company_group and date across up to 200 input rows.
Example use cases
Smoothing survey response trends over time
“I've got monthly market survey data for three company groups over two years, 24 rows total — can you run a trailing mean with a window of 3 and a base-100 series anchored at index 0 on the respondent_count field so I can see smoothed trends and relative growth?”
Comparing sample weights across company groups
“I need to analyze sample_weight values from our quarterly survey panels across groups A, B, and C — about 80 rows — please compute both a trailing mean series using a window of 5 and a base-100 series from index 0 so I can compare how each group's weighting has shifted.”
Benchmarking survey participation against a baseline
“We ran a market survey tracking respondent_count weekly for two company segments over 40 weeks — can you give me a trailing mean series with window 6 and index everything to base 100 starting from row 0 so I can benchmark participation against that starting point?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-06-147?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 market survey observation records and need both a rolling/trailing mean smoothing series and a base-100 normalization series computed together in one call for cost efficiency ($0.01 for both reports). Ideal for offline/batch analytical work on already-collected survey data where no live data lookup or external enrichment is needed. Prefer this over separate endpoints when you need both series types simultaneously on the same dataset.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maxItems limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size less than 2 or greater than 200 — rejected
- base_index out of range for supplied rows — computation error
- Missing required fields (row_id, company_group, date) — schema error
- Non-numeric values in respondent_count or sample_weight when numeric expected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| base_index | integer |
Tags
x402
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