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Account Research Coverage — Trailing Mean Series + Base-100 Series
x402
Account Research Coverage — 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 a trailing moving average series and a base-100 indexed series for account research coverage data (researched_accounts and target_accounts) over up to 200 rows, producing two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Trailing mean series + Base-100 series: Trailing mean series + Base-100 series for supplied account research coverage records (researched_accounts, target_accounts). 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 showing the rolling average of the selected field (researched_accounts or target_accounts) over the specified window, and (2) a base-100 indexed series normalizing values relative to the row at the specified base_index. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Sales pipeline coverage trend analysis
“I have 50 rows of daily account research coverage data across three company groups with dates and researched_accounts counts — can you compute a 7-day trailing mean series and a base-100 index series (starting from day 0) for researched_accounts so I can see smoothed trends and relative growth?”
Target account tracking for quarterly review
“Run a trailing mean with window size 4 and a base-100 series from index 0 on my target_accounts data — I've got 120 rows spanning two company groups over the last quarter, and I need both reports to present at our QBR.”
Comparing research coverage across company groups
“I want to compare how researched_accounts coverage has evolved for 'group-alpha' versus 'group-beta' — I have 80 rows with dates and account counts. Can you produce a 5-period trailing mean and a base-100 series (base at index 0) so I can see normalized growth side by side?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-147?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of account research coverage data and need both a trailing moving average and a base-100 indexed trend series in a single low-cost call ($0.01 USDC). It is ideal for sales ops or BI workflows where you want to smooth noisy coverage metrics and compare relative growth from a fixed baseline, without needing live data lookup, prediction, or external enrichment.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- window size larger than the number of rows — trailing mean may be undefined or return nulls for early rows
- base_index out of range for the submitted data — base-100 series computation fails
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, date, company_group) — schema validation error
- Null values in the target field may produce null entries in the output series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer | |
| base_index | integer |
Tags
x402
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