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FormBharo exposes analytics endpoints for both individual agents and entire workspaces. You can filter by time window, call status, and source to compare performance across different cohorts — for example, comparing completion rates between a weekday campaign and a weekend one, or between two versions of an agent script.

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Agent analytics

Fetch performance stats for a single agent with GET /api/v1/agents/{agent_id}/analytics.
curl

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Workspace analytics

Fetch aggregated stats across all agents in a workspace with GET /api/v1/workspaces/{workspace_id}/analytics. This endpoint is restricted to workspace admins.
curl
The workspace response includes the same top-level stats as the agent endpoint, plus a per-agent breakdown — an array where each entry contains the agent’s ID, name, and its own copy of the stats object. Use the breakdown to spot which agents are underperforming without making a separate request for each one.

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What the stats mean

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integer
Total number of calls started. Includes calls that are still in progress, completed, screened out, or failed.
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integer
Calls that reached either complete or screened_out status. Both outcomes mean the agent reached a defined ending — not that the caller answered every question.
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integer
Calls ended early because the caller’s answer matched a value in end_call_values. These are counted inside completed.
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number
The ratio completed / attempted, expressed as a decimal between 0 and 1. Returns null when attempted is zero.
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object
Average call length in seconds, plus a 95% confidence interval and the sample size used to compute it.
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object
Average time in seconds from the end of a caller’s spoken turn to the agent’s first acknowledgement word. Lower is better — high values suggest the agent is slow to process speech.
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object
Average time in seconds from the agent’s acknowledgement to the start of its full reply. Together with avg_ack_latency_secs, this gives you a complete picture of perceived voice latency.
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object
Cost breakdown for the calls in the sample.
completed includes screened_out calls. If you want the count of calls that went all the way through every question, subtract screened_out from completed.
All average fields return null when there are no usable calls in the requested window. The ci_95 field within each average is null when the sample contains fewer than two calls — a confidence interval cannot be computed from a single data point.