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Product Feature Telemetry — Equal-Width Histogram
x402
Product Feature Telemetry — Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Computes an equal-width histogram over product feature telemetry records (events or unique_users) for descriptive analytics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Product feature telemetry - Equal-width histogram: Equal-width histogram for Product feature telemetry. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded equal-width histogram report.
Output
Returns a bounded equal-width histogram report showing bin boundaries and frequency counts for the specified numeric field (events or unique_users) across up to 200 telemetry rows, with the number of bins configurable from 1 to 30.
Example use cases
Feature adoption distribution analysis
“I've got 150 daily telemetry records for our product features with event counts — can you build a 10-bin equal-width histogram on the events field so I can see how feature usage is distributed?”
Unique user spread across feature groups
“Here are 60 rows of feature telemetry with unique_users counts per feature and date — please compute an equal-width histogram with 8 bins on the unique_users field so I can see how the user counts are spread out.”
Quick event count bucketing for reporting
“I need to summarize this set of 40 feature telemetry rows into a 5-bin equal-width histogram on events for a product report — can you run that and give me the bucket boundaries and frequencies?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ar-analytics-feature-telemetry-histogram?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 product feature telemetry records and need a fast, local equal-width histogram for descriptive analytics — no enrichment, forecasting, or external data needed. Ideal for understanding the frequency distribution of event counts or unique user counts across product features without setting up a full analytics pipeline.
Side effects
- More than 200 rows supplied — request rejected with maxItems validation error
- Invalid date format (not YYYY-MM-DD) in any row — schema validation failure
- Bins value outside 1–30 range — validation error
- Field value not in enum ['events','unique_users'] — schema rejection
- Numeric values outside ±1,000,000,000,000 bounds — validation error
- Empty rows array — minItems violation
- Missing required row fields (row_id, feature, date, events, unique_users) — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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