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Content Engagement Grouped Numeric Summary
x402
Content Engagement Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Computes grouped numeric summary statistics (e.g. sum, mean, min, max) for content engagement records (views or engagements) segmented by content type.
Price / call$0.01
Success—
StatusUnknown
How this service works
Content engagement - Grouped numeric summary: Grouped numeric summary for Content engagement. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded grouped numeric summary deliverable.
Output
A grouped numeric summary object containing aggregated statistics (such as count, sum, mean, min, and max) for the selected field (views or engagements), broken down by each distinct content_type value found in the submitted records. Results are computed locally with no external enrichment.
Example use cases
Compare video vs article engagement
“Here are 150 rows of content engagement data with content_type set to either 'video' or 'article' — group them and give me a numeric summary of the views field so I can see how each type is performing.”
Daily blog category performance report
“I've got engagement records for our blog posts across four categories from the past month. Can you group them by content_type and summarize the engagements field so I can see which category drives the most interaction?”
A/B content test analysis
“We ran a content A/B test with groups 'group-a' and 'group-b' — here are the daily view counts for each. Group the rows by content_type and compute a numeric summary on the views field so I can compare the two variants.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-content-engagement-group-summary?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 content engagement records with a content_type dimension and need fast, local grouped statistics on views or engagements — without requiring external data enrichment, forecasting, or time-series output. It is ideal for comparing performance across content categories in batch analytics pipelines or reporting workflows. Prefer sibling endpoints for trailing mean series, interval filtering, or correlation analysis.
Side effects
- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Unknown field value outside enum ['views','engagements'] is rejected
- Null values in the selected numeric field may reduce count in aggregation
- Malformed row objects missing required fields (row_id, content_type, date, views, engagements) cause validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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