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Web Traffic Trailing Mean Series
x402
Web Traffic 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 2026-10-18).
Computes a trailing (rolling) mean time series for web traffic sessions or conversions across up to 200 typed records, grouped by channel and date, with a configurable window size.
Price / call$0.01
Success—
StatusUnknown
How this service works
Web traffic - Trailing mean series: Trailing mean series for Web traffic. 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 trailing mean series deliverable.
Output
Returns a trailing (rolling) mean series: for each input row, the endpoint computes the average of the target field (sessions or conversions) over the preceding N rows (window), grouped appropriately by sequence. Output includes per-row smoothed values, preserving row_id and channel context, with data-quality indicators for rows where the window is not yet fully populated.
Example use cases
Smoothing daily session spikes by channel
“I have two weeks of daily session counts for my paid and organic channels — can you compute a 7-day trailing mean series for sessions so I can see the smoothed trend without the day-to-day noise?”
Rolling conversion rate trend for campaign review
“I've got 30 rows of daily conversion data across three marketing channels. Can you run a trailing mean series with a window of 5 on the conversions field so I can present a smoothed trend line at our campaign review?”
Detecting traffic anomalies against rolling baseline
“I want to flag days where my actual sessions are far from the rolling average — can you first compute the trailing mean series with a window of 14 for my 90 rows of session data, so I can compare it against the raw numbers?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-web-traffic-rolling?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a local, privacy-safe, no-external-dependency computation of a rolling mean over web traffic time series data (sessions or conversions). It is ideal for smoothing noisy daily web analytics data across multiple channels without sending data to a third-party analytics platform. Prefer it over full analytics suites when you already have structured tabular traffic data and just need the trailing mean calculation applied at low cost ($0.01 USDC per call) for up to 200 records.
Side effects
- Fewer than 1 row supplied returns a validation error
- Window size larger than number of rows produces partial/null results for early rows
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Sessions or conversions values outside ±1,000,000,000,000 rejected
- More than 200 rows supplied exceeds maxItems and is rejected
- Missing required fields (row_id, channel, date) cause validation failure
- Non-numeric sessions/conversions values (unless null) cause type errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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