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Account Research Coverage — Trailing Mean Series + Keyed Dataset Comparison
x402
Account Research Coverage — Trailing Mean Series + Keyed Dataset Comparison 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 trailing mean time series and performs keyed dataset comparison on up to 200 rows of account research coverage data (researched_accounts, target_accounts) across company groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Account research coverage — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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 mean time series for the selected field (researched_accounts or target_accounts) computed across the supplied rows, and (2) a keyed dataset comparison highlighting differences between the primary and secondary (other) dataset. Both reports are generated locally from supplied data with no external lookups.
Example use cases
Sales team coverage trend analysis
“I have 150 rows of daily account research coverage data split across several company groups from the past quarter. Can you compute a trailing mean series on the researched_accounts field so I can see smoothed trends over time?”
Comparing two account research snapshots
“I need to compare this week's account research coverage records against last week's snapshot — same company groups and dates — and flag any differences in the target_accounts values using a keyed dataset comparison.”
Multi-group coverage gap reporting
“We track researched_accounts and target_accounts across four company groups daily. Can you run both a trailing mean series and a keyed comparison between our Q1 and Q2 datasets to help us spot coverage gaps?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-08-153?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have up to 200 rows of account research coverage records and need both a smoothed time series (trailing mean) and a structured comparison between two datasets — all computed offline from your supplied data without any live data lookups or external enrichment. Ideal for sales ops or BI workflows that batch-process coverage snapshots.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, researched_accounts, target_accounts) causes validation error
- Date values not matching YYYY-MM-DD pattern cause parse errors
- Null numeric values in key fields may produce incomplete trailing means
- Empty or mismatched keys between primary and comparison dataset reduce comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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