> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fetchhive.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Run analytics

> Compare run cost, token usage, latency, and success rate

Use run analytics on an experiment run detail page to compare how candidates performed inside that specific run.

Run analytics are calculated from stored experiment result cells. They do not re-run prompts, and they do not read the current source prompt configuration.

## Scope <a href="#scope" id="scope" />

Run analytics are scoped to one experiment run.

Use them when you want to compare candidates on the same dataset version and run conditions.

## Metrics <a href="#metrics" id="metrics" />

| Metric           | Meaning                                                                  |
| ---------------- | ------------------------------------------------------------------------ |
| Success rate     | Completed result cells divided by all result cells in the selected scope |
| Total cost       | Stored cost for all selected result cells                                |
| Average cost     | Total cost divided by selected result cell count                         |
| Total tokens     | Stored token usage for all selected result cells                         |
| Input tokens     | Stored input token usage                                                 |
| Output tokens    | Stored output token usage                                                |
| Average tokens   | Total tokens divided by selected result cell count                       |
| Average duration | Average duration for completed result cells                              |
| p95 duration     | 95th percentile duration for completed result cells                      |

Failed result cells still count toward status totals. If a failed cell recorded cost or tokens before failing, those values remain included in cost and token totals.

Duration averages and percentiles only use completed result cells.

## Candidate charts <a href="#candidate-charts" id="candidate-charts" />

Candidate charts group results by experiment candidate.

Use these charts to compare:

* the cheapest candidate
* the fastest candidate
* the slowest candidate
* high-token candidates
* candidates with more failures

## Metadata filters <a href="#metadata-filters" id="metadata-filters" />

Analytics can be filtered by dataset row metadata.

For example, if your CSV includes `metadata.topic`, you can filter analytics to a specific topic and compare candidates only for those rows.

Metadata filters use dataset row metadata from the experiment run, not request metadata.

## TTFT <a href="#ttft" id="ttft" />

Time to first token is not shown in experiment analytics yet.

Fetch Hive currently shows reliable stored duration, cost, token, and status metrics for experiment results. TTFT will be added after first-token timing is captured consistently across dashboard prompts and deployed prompt invokes.

See also: [Review results](./results), [Run an experiment](./running-experiments), and [Datasets](./datasets)