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Account Research Coverage — Numeric Interval Filter + Explicit Missing-Value Fill
x402
Account Research Coverage — Numeric Interval Filter + Explicit Missing-Value Fill 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).
Filters account research coverage rows by a numeric interval and fills missing values in a chosen field using zero, mean, or median imputation, returning 2 analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Numeric interval filter + Explicit missing-value fill: Numeric interval filter + Explicit missing-value fill 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 2 independent analytical reports on the supplied account research coverage data after applying the specified numeric interval filter (minimum/maximum bounds on the chosen field) and explicit missing-value imputation (zero, mean, or median). Reports summarize the filtered and cleaned dataset without performing any live lookups or external actions.
Example use cases
Cleaning sales coverage data before reporting
“I have a dataset of 150 account research coverage records with some null researched_accounts values and outliers. Filter researched_accounts to values between 10 and 1000, and fill any missing ones using the mean. I need the 2 analytical reports.”
Imputing missing target accounts with zero-fill
“My target_accounts field has some nulls in my account research coverage data — about 80 rows across group-a and group-b. Can you filter target_accounts to the range 0 to 200 and fill in any missing values with zero? Return the 2 reports.”
Validating research coverage for a specific date range
“I need to clean up my account research coverage records from October 2026 — filter the researched_accounts field to values between 5 and 300 and use median imputation for any missing rows. Run the 2 analytical reports on the cleaned data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-135?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 numeric range filtering and missing-value imputation in a single low-cost call. It is ideal for data cleaning pipelines prior to reporting, where you want to remove out-of-range records and fill nulls using a consistent statistical method. Prefer it over generic data tools when your data matches the specific schema (row_id, company_group, date, researched_accounts, target_accounts) and you want 2 bundled analytical reports at minimal cost.
Side effects
- Fewer than 1 row submitted — rejected by schema validation
- More than 200 rows submitted — exceeds maximum item limit
- Date values not in YYYY-MM-DD format — pattern validation failure
- Numeric values outside ±1,000,000,000,000 bounds — schema rejection
- Invalid method enum value (not zero/mean/median) — request error
- Invalid field enum value (not researched_accounts/target_accounts) — request error
- Payment not provided or insufficient USDC — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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