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Account Research Coverage — Numeric Interval Filter + Secondary-Measure Weighted Mean
x402
Account Research Coverage — Numeric Interval Filter + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Filters account research coverage rows by a numeric interval and computes a weighted mean of a secondary measure, returning two analytical reports for up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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
Two analytical reports: (1) rows from the input dataset where the selected field (researched_accounts or target_accounts) falls within the specified [minimum, maximum] interval, and (2) the weighted mean of the secondary measure computed over those filtered rows. Results are derived entirely from the supplied data using local analytical engines — no external lookups are performed.
Example use cases
Filter coverage by research activity volume
“I have 100 rows of account research data across several company groups. Can you filter to only rows where researched_accounts is between 10 and 75, then give me the weighted mean of target_accounts across those filtered rows?”
Identify high-target accounts in range
“Filter my account coverage records to rows where target_accounts falls between 2 and 20, and compute the weighted mean of researched_accounts. I'll send you the full dataset of 60 rows with dates and company groups.”
Compare coverage ratios across groups
“I want to analyze my pipeline coverage — filter all rows where researched_accounts is between 0 and 30 and get a weighted average of target_accounts. My data has groups like group-a and group-b with dates spanning Q4 2026, about 80 rows total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-132?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of account research coverage data (with researched_accounts and target_accounts fields) and need both a numeric interval filter and a weighted mean of a secondary measure in a single call. It is ideal for sales ops or B2B analytics workflows where you want to slice coverage records by a value range and immediately summarize the secondary metric. It does not perform live data lookups, predictions, or external enrichment — all computation is on supplied data only.
Side effects
- Input rows array is empty or missing — returns error
- Row count exceeds 200 — rejected
- minimum greater than maximum — may return empty filter result
- required row fields (row_id, date, company_group) missing — validation error
- date field not in YYYY-MM-DD format — schema validation failure
- numeric fields exceed allowed range (±1,000,000,000,000) — rejected
- field enum value not one of researched_accounts or target_accounts — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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