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Content Length Observations — Record Quality Audit + Base-100 Series
x402
Content Length Observations — Record Quality Audit + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs a record quality audit and a Base-100 index series on up to 200 rows of content-length observations (word_count, heading_count), returning two analytical reports without any external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Content length observations — Record quality audit + Base-100 series: Record quality audit + Base-100 series for supplied content length observations records (word_count, heading_count). 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) a record quality audit flagging missing values, type errors, or anomalies in the supplied rows, and (2) a Base-100 index series for the selected field (word_count or heading_count) relative to the specified base row index. Both reports are computed locally without external lookups.
Example use cases
SEO content quality audit across site groups
“I have 120 rows of daily word count and heading count data for two site groups — can you audit them for record quality issues and give me a base-100 series on word_count starting from row 0?”
Heading count trend indexing for editorial review
“Run a base-100 index series on heading_count for my content observations — I have 80 rows with dates, site groups, and row IDs — and include the record quality report too. Use index 0 as the base.”
Content metrics data validation before reporting
“Before I publish my monthly report, can you check my content length data — about 60 rows of word counts and heading counts by site group and date — for any quality problems, and also produce a base-100 series on word_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-19-012?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a base-100 normalized index series on content length metrics (word count or heading count) in a single call, for up to 200 rows, without requiring any external data sources or live predictions. Ideal for offline content analytics pipelines, editorial QA workflows, or pre-reporting validation of crawled content metrics.
Side effects
- Exceeds 200-row limit — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row rejection
- base_index out of range for the supplied rows array
- Missing required fields (row_id, date, word_count, heading_count) cause row-level quality flags
- Null numeric values may affect index series computation
- Malformed JSON input returns a 4xx error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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