wave-pulseCall Trace Analysis

Deep call understanding with emotional arcs, key decision moments, coaching recommendations, and signal-response alignment.

The call trace analysis endpoints provide deep understanding of individual calls, including emotional dynamics, decision quality, coaching recommendations, and interaction patterns.

Endpoints

Method
Path
Description

GET

/calls/traces

List call trace analyses with filters and pagination

GET

/calls/{call_id}/trace-analysis

Get detailed trace analysis for a specific call

List Trace Analyses

GET /calls/traces

Returns a paginated list of call trace analyses.

Query Parameters

Parameter
Type
Default
Description

outcome

string

-

Filter by outcome: succeeded, partially, failed, abandoned

min_computed_at

datetime

-

Only include analyses computed after this timestamp

max_computed_at

datetime

-

Only include analyses computed before this timestamp

limit

integer

20

Max results per page (1-100)

continuation_token

integer

-

Offset for the next page of results

Response

Field
Type
Description

items

array

List of trace analysis summaries

has_more

boolean

Whether more results are available

continuation_token

integer

Token to pass for the next page

Each item in items:

Field
Type
Description

call_sid

string

Call identifier

call_entity_id

string

Associated entity ID

summary

string

Brief narrative summary of the call

outcome

string

Call outcome classification

emotional_arc

string

High-level emotional trajectory

key_moment_count

integer

Number of key decision moments identified

computed_at

datetime

When the analysis was computed

Get Trace Analysis

GET /calls/{call_id}/trace-analysis

Returns the full trace analysis for a specific call.

Path Parameters

Parameter
Type
Description

call_id

string

Call SID or call entity ID

Response

Field
Type
Description

call_sid

string

Call identifier

call_entity_id

string

Associated entity ID

status

string

Analysis status: ready, pending, or unavailable

summary

string

Narrative summary of the call

outcome

string

Outcome classification: succeeded, partially, failed, abandoned

emotional_arc

string

High-level emotional trajectory across the call

key_moment_count

integer

Number of key decision moments

computed_at

datetime

When the analysis was computed

key_moments

array

Key decision points (see below)

coaching

array

Coaching recommendations (see below)

counterfactuals

array

Alternative actions (see below)

emotional_shifts

array

Emotional state changes (see below)

signal_response_alignment

array

Signal-response alignment assessments (see below)

interaction_dynamics

object

System-level conversation analysis (see below)

missed_opportunities

array of strings

Patterns the agent could have acted on

emergent_patterns

array of strings

Behavioral patterns detected

deep_understanding

string

Synthesized understanding of the conversation

Key Moment

Field
Type
Description

what_happened

string

Description of the decision point

timestamp_seconds

number

Position in the call (seconds)

quality

string

Quality assessment: optimal, adequate, suboptimal

reasoning

string

Why the agent made this decision

alternative

string

What the agent could have done instead

decision_factors

array

Factors that drove the decision, each with factor (string) and source_type (string)

Coaching Item

Field
Type
Description

observation

string

What was observed in the call

recommendation

string

Suggested improvement

moment_timestamp

number

Position in the call (seconds)

expected_impact

string

Predicted effect of the recommendation

Counterfactual

Field
Type
Description

actual

string

What actually happened

alternative

string

What could have happened instead

predicted_impact

string

Expected effect of the alternative

timestamp_seconds

number

Position in the call (seconds)

Emotional Shift

Field
Type
Description

from_state

string

Emotional state before the shift

to_state

string

Emotional state after the shift

trigger

string

What caused the shift

agent_awareness

string

Whether the agent recognized the shift

timestamp_seconds

number

Position in the call (seconds)

Signal-Response Alignment

Field
Type
Description

signal

string

The salient signal from the caller

agent_response

string

How the agent responded

alignment

string

Assessment: aligned, misaligned, partial

insight

string

Additional context about the alignment

Interaction Dynamics

Field
Type
Description

turn_taking_quality

string

Assessment of conversational turn-taking

information_density

string

How efficiently information was exchanged

rapport_trajectory

string

How rapport evolved during the call

repair_effectiveness

string

How well communication breakdowns were resolved

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