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Account Research Coverage — Trailing Mean Series & Two-Measure Correlation
x402
Account Research Coverage — Trailing Mean Series & Two-Measure Correlation 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 time series and a Pearson/correlation report between researched_accounts and target_accounts for up to 200 rows of supplied account research coverage data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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: (1) a trailing moving-average time series for the selected field (researched_accounts or target_accounts) computed over the specified window, and (2) a two-measure correlation report quantifying the statistical relationship between researched_accounts and target_accounts across the supplied rows. Results are based entirely on the user-supplied data with no external lookups or predictions.
Example use cases
Sales pipeline coverage trend smoothing
“I have 120 rows of weekly account research data with researched_accounts and target_accounts split by company group. Can you compute a trailing mean series with a window of 4 on the researched_accounts field and also show me the correlation between the two measures?”
Quarterly B2B research coverage correlation check
“We track target_accounts and researched_accounts daily across two groups — can you run a two-measure correlation report plus a trailing mean series using a window of 7 for the target_accounts field on our last 90 days of data?”
Account coverage gap analysis by group
“I want to see how smoothly our researched_accounts track against target_accounts over time for group-a and group-b. Please compute a rolling average with window size 5 on researched_accounts and include the correlation report between both measures.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-150?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already collected account research coverage data (researched_accounts, target_accounts) locally and need two fast, deterministic statistical outputs — a rolling average time series and a correlation score — without any external API lookups, ML predictions, or professional assessments. It is ideal for sales ops, revenue analytics, or B2B pipeline teams processing up to 200 timestamped rows grouped by company. Prefer it over generic analytics tools when you need a fixed-cost ($0.01 USDC for both reports) computation on structured tabular data with predictable schema.
Side effects
- Fewer than 1 row supplied — minimum row count validation failure
- Window size larger than number of supplied rows — insufficient data for trailing mean computation
- Missing required fields (row_id, date, company_group, researched_accounts, or target_accounts) — schema validation error
- More than 200 rows submitted — exceeds maximum row limit
- Malformed date strings not matching YYYY-MM-DD pattern — pattern validation failure
- Non-numeric values in numeric fields — type validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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