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Conversion Aggregates — Calendar Date Check
x402
Conversion Aggregates — Calendar Date Check 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).
Validates calendar date fields in a CSV table of conversion aggregate data, checking up to 1000 rows for date format correctness and constraint compliance.
Price / call$0.01
Success—
StatusUnknown
How this service works
Conversion aggregates — Calendar date check: Calendar date check for Conversion aggregates. Validate a declared CSV table contract, up to 1000 rows. Quoted cells supported; no external enrichment. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one CSV calendar date check report.
Output
Returns a calendar date check report for the submitted CSV, identifying rows and cells where date values are malformed, out of range, or otherwise invalid, covering up to 1000 rows of conversion aggregate data.
Example use cases
Pre-pipeline date integrity check
“Before I load this week's conversion data into the warehouse, can you validate that all the date values in the observed_on column of my CSV are properly formatted calendar dates? Here's the CSV with comma delimiters and allowed categories group-a and group-b.”
Ad campaign aggregate audit
“I have a CSV of ad campaign conversion aggregates and I need to make sure none of the date fields are malformed or out of range — can you run a calendar date check on it? The delimiter is a comma and I want to flag anything outside 2025-01-01 to 2026-12-31.”
Automated QA for marketing reports
“As part of our daily QA routine, check this marketing conversions CSV to confirm all calendar dates are valid — use comma as the delimiter and only allow categories group-a, group-b, and group-c.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-csv-conversions-dates?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to validate calendar date fields specifically within a conversion aggregates CSV, especially when the data follows the observation_id/observed_on/channel_id/lead_count/conversion_count schema. It is purpose-built for this narrow preset and is cost-effective at $0.01 USDC per check. Prefer it over general CSV validators when your primary concern is date correctness in marketing or analytics conversion data.
Side effects
- CSV exceeds 100,000 character limit — request rejected
- More than 1000 rows submitted — validation may be truncated or refused
- Invalid delimiter specified — must be comma, semicolon, or tab
- Cell length exceeds max_cell_length limit — cell flagged or rejected
- Malformed CSV structure (unclosed quotes, inconsistent columns) — parse error returned
- No date column detected or column name mismatch — no date checks performed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| csv | string | |
| maximum | number | |
| minimum | number | |
| delimiter | string | |
| max_cell_length | integer | |
| allowed_categories | array |
Tags
x402
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