Retrieve feedback time-series data grouped by model to compare feedback volume and satisfaction across models over a specified period.
MIT
133,413 tools. Last updated 2026-05-25 15:25
"Guide to Creating Time Series Models with Prophet" matching MCP tools:
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- Evaluate cached-response speed by retrieving cache-hit latency time-series data, including total and average latency summaries and per-bucket breakdowns.MIT
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- Retrieve feedback submission time-series data with summary totals and per-bucket counts for trend analysis.MIT
- Evaluate cache effectiveness by retrieving time-series hit rate, total hits, and total misses data, with per-bucket breakdowns for detailed analysis.MIT
- Retrieve error-rate time-series data with percentage breakdowns to monitor reliability and SLA trends. Use for understanding error proportions over time.MIT
- Fetch time-series user growth data with per-bucket active and new user counts for analyzing adoption trends. Restricted to enterprise Portkey plans.MIT
- Get latency analytics to detect performance slowdowns and regressions using time-series data with average, p50, p90, and p99 percentiles.MIT
- Retrieves per-user request-count time-series data to identify heavy users and traffic concentration. Enterprise plan required.MIT
- Retrieve raw feedback-score distribution time-series data with per-score buckets to analyze sentiment mix over time. Enterprise-gated.MIT
- Analyze error stacks grouped by HTTP status code over time to identify dominant error classes. Returns grouped error-series data with summary and per-code series.MIT
- Retrieve request-volume time-series data with total, successful, and failed request counts per bucket. Analyze traffic and reliability trends over a specified time period.MIT
- Fetch time-series data on HTTP error code distribution to identify the most frequent error codes. Provides summary and per-code series for analysis.MIT
- Retrieve error-count time-series data with total errors and per-bucket counts to monitor high-level error trends over a specified time period.MIT
- Get a per-model breakdown of groups, request count, cost, and token usage to compare model efficiency and popularity. Paginated results support filtering by time range.MIT