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Contract Renewal Inventories — String Normalisation + Trailing Mean Series
x402
Contract Renewal Inventories — String Normalisation + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).
Applies string normalisation and computes trailing mean series for up to 200 rows of contract renewal inventory data (expiring and renewed contracts), returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Contract renewal inventories — String normalisation + Trailing mean series: String normalisation + Trailing mean series for supplied contract renewal inventories records (expiring_contracts, renewed_contracts). 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 reports: (1) string-normalised contract renewal records with cleaned company_group and date fields, and (2) a trailing mean series computed over the specified field (expiring_contracts or renewed_contracts) using the given rolling window size — both derived locally from the supplied rows with no external data lookups.
Example use cases
Smooth monthly contract expiry trends
“I have 30 rows of monthly contract renewal data by company group with expiring_contracts counts — can you apply string normalisation and compute a trailing mean series with a window of 5 on the expiring_contracts field so I can see smoothed expiry trends?”
Analyse renewal rate rolling average
“Take these 50 contract renewal inventory records with renewed_contracts figures across multiple company groups and dates, normalise the strings, and give me a trailing mean series with a window of 7 on the renewed_contracts field.”
Clean and summarise multi-group renewal data
“I've got contract renewal inventory data for 4 company groups, about 120 rows from the past quarter with both expiring_contracts and renewed_contracts — please normalise the string fields and produce a trailing mean series with window 4 on expiring_contracts so I can compare renewal performance across groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-20-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously clean/normalise string fields in contract renewal inventory records and compute a smoothed rolling/trailing mean series over expiring or renewed contract counts — all offline from supplied data, with no external API calls. Ideal for quick dual-report analytics on batches of up to 200 contract rows at a fixed low cost.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Date fields not matching YYYY-MM-DD pattern — validation error
- Invalid field enum value (not expiring_contracts or renewed_contracts) — error returned
- Window integer outside range 2–200 — rejected
- Null values in numeric fields may affect trailing mean computation
- Missing required row fields (row_id, date, company_group) — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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