{ "id": "123e4567-e89b-12d3-a456-426614174000", "contactId": "987e6543-e21b-12d3-a456-426614174000", "candidateId": "987e6543-e21b-12d3-a456-426614174000", "agentId": "456e7890-e12b-34d5-a678-901234567890", "status": "SCHEDULED", "scheduledAt": "2025-11-20T10:00:00Z", "createdAt": "2024-11-16T10:30:00Z", "updatedAt": "2024-11-16T10:30:00Z", "jobId": "123e4567-e89b-12d3-a456-426614174000", "runId": "789e0123-e45b-67d8-a901-234567890123", "flowVersion": "9f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b822cd15d6c15b0f00a08", "durationMinutes": 15, "finishedDate": "2025-11-20T10:15:00Z", "metadata": { "externalInterviewId": "INT-789" }, "callAttempts": [ { "id": "c9c9a6e8-fb4a-45f3-80fc-bf94f071cd2a", "direction": "OUTBOUND", "status": "COMPLETED", "reasonCode": "NO_ANSWER", "notes": "Candidate did not pick up, mailbox full", "retryNumber": 2, "recordingUrl": "https://audio.example.com/recording.mp3", "duration": 180, "scheduledAt": "2025-07-22T10:00:00Z", "calledAt": "2025-07-22T10:01:00Z", "transcript": [ { "speaker": "AI", "text": "Hello, thank you for taking the time to speak with me today.", "startTime": 0, "endTime": 3.5, "language": "en" } ], "flowVersion": "9f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b822cd15d6c15b0f00a08" } ], "analysis": { "id": "123e4567-e89b-12d3-a456-426614174000", "general": { "createdAt": "2024-11-16T10:30:00Z", "updatedAt": "2024-11-16T10:30:00Z", "overallRating": 85, "scoringIncompleteReason": "model_unavailable", "companyFitRating": "HIGH", "education": "Master's degree in Computer Science", "experience": "5 years of experience in software development", "strongPoints": [ "Excellent communication skills", "Strong technical expertise in React and Node.js", "Proven track record of leading teams" ], "weakPoints": [ "Limited experience with microservices", "Needs improvement in system design" ], "evaluation": [ "Strong candidate with relevant experience", "Good cultural fit for the team", "Recommended for next round" ], "status": 3 }, "specific": { "pronunciationScores": { "accuracy": 90, "fluency": 85, "prosody": 82 }, "grammar": { "level": "C1" } } }, "analytics": { "matchScore": 72, "updatedAt": "2026-08-03T10:30:00Z", "fields": [ { "key": "budget_confirmed", "label": "Budget confirmed", "type": "string", "value": true, "confidence": 0.5, "evidence": "Said they have signed off on 15k for this quarter" } ], "scoring": { "total": 72, "items": [ { "key": "budget_confirmed", "kind": "field", "label": "Budget confirmed", "score": 80, "weightPercent": 33.3, "importance": "REQUIRED", "reasoning": "<string>" } ] }, "outcomes": [ { "key": "meeting_booked", "label": "Meeting booked", "met": true, "confidence": 0.5, "evidence": "<string>" } ], "tags": [ { "key": "needs_followup", "label": "Needs follow-up", "applied": true, "reason": "<string>" } ], "qa": [ { "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a", "question": "<string>", "answered": true, "answer": "<string>", "asked": true, "evidence": "<string>" } ], "evaluation": { "strengths": [ "<string>" ], "concerns": [ "<string>" ], "objections": [ "<string>" ], "assessment": [ "<string>" ] }, "sentiment": { "overall": "positive", "score": 0.5, "trajectory": "improving", "notes": "<string>" }, "summary": "Qualified lead; demo booked for Thursday." }, "isTest": false}
GET /interviews/{id} is a permanent alias of this endpoint and keeps working unchanged, with the same scopes and the same response. See Resource names.
Retrieves a single conversation by ID, including full details, transcript, analysis or analytics, and call attempt information.
This endpoint returns everything recorded about one conversation: its current status, the transcript, the AI analysis or analytics when there is any, and every associated field. It is the primary way to read a call’s results.
Run: runId, the run that produced this conversation, or null for one created on its own
Agent configuration: flowVersion, a hash identifying the compiled agent configuration the latest call was placed with, and the same field on each call attempt; see Conversations
Once a conversation has completed, the response carries its analysis. The structure is a general object holding the overall assessment, plus an optional specific object for data particular to the conversation type:
The specific field carries data particular to the conversation type, when there is any. See the Conversations Resource Guide for what each type produces.
Analysis is only available once the conversation has completed. While one is scheduled or
in progress, analysis is null.
A conversation run by a custom agent carries a second, separate object: analytics, containing whatever that agent’s analyticsConfig asked for. It is not a variant of analysis — analysis is the recruiting pipeline’s output and is typically absent on a custom call, while analytics is the agent’s own design.
{ "analytics": { "matchScore": 72, "fields": [ { "key": "budget_confirmed", "label": "Budget confirmed", "type": "bool", "value": true, "confidence": 0.9, "evidence": "Said they have signed off on 15k for this quarter" }, { "key": "timeline", "label": "Timeline", "type": "string", "value": null } ], "scoring": { "total": 72, "items": [ { "key": "budget_confirmed", "kind": "field", "label": "Budget confirmed", "score": 90, "weightPercent": 50, "importance": "REQUIRED" } ] }, "outcomes": [{ "key": "meeting_booked", "label": "Meeting booked", "met": true }], "tags": [{ "key": "needs_followup", "label": "Needs follow-up", "applied": false }], "qa": [ { "id": "3f1a8c2e-question-uuid", "question": "What are you using today?", "asked": true, "answered": true, "answer": "Spreadsheets, rebuilt by hand every week", "evidence": "It's the worst two hours of my Monday" } ], "evaluation": { "strengths": ["Clear pain point, already shopping for a replacement"], "concerns": ["Finance sign-off not secured"], "objections": ["Worried about migrating two years of historical data"], "assessment": ["Strong fit; the only real risk is procurement timing"] }, "sentiment": { "overall": "positive", "score": 0.8, "trajectory": "improving" }, "summary": "Qualified lead; demo booked for Thursday.", "updatedAt": "2026-08-03T14:30:00Z" }}
The key on each field, outcome and tag is the one configured on the agent, so you can switch on it directly. Reading it back:
value: null on a field means the call did not surface it — distinct from a false or empty value that was surfaced.
In scoring.items, an entry with kind: "question" carries the flow question’s id rather than a configured key — a question has none, which is why its scoring is set inline on the question. Entries with kind: "field" or "criterion" carry the configured key.
weightPercent is each scored item’s share of the match score, so the shares sum to exactly 100. The weights you configured are relative, not percentages.
matchScore is always present, and null when scoring has not run yet.
In qa, answered: false means the question got no answer on the call, not that it was answered with nothing: answer is empty in both cases, so switch on answered. asked tells why: asked: false means the question never came up, asked: true means it was asked but got no clear answer. Results analysed before October 23, 2026 omit asked unless answered is true.
evaluation holds four independent arrays of lines (strengths, concerns, objections, assessment); any one can be empty while the others are populated.
Each slice is produced by its own after-call job, and each job only runs when the agent asked for it — so an absent outcomes or sentiment means “not configured, or not run yet”.
The same object is pushed to your analysis.completedwebhook, so you
do not have to poll for it.
Deprecated alias of contactId, always identical to it. Kept for the life of v1 so existing integrations keep working; new callers should read contactId.
The run that produced this conversation, or null for one created on its own. A run mints one conversation per contact, so this is how a conversation is traced back to the batch it came from without listing the run.
Identity of the agent configuration (flow, guardrails and context, as compiled) that the most recent call in this conversation was placed with. A content hash: two calls that ran the same configuration carry the same value, and any edit that changes what the agent says produces a new one. Each entry in callAttempts carries its own, since a retry placed after an edit runs the edited configuration. null for agents without a designed flow and for calls placed before 2026-09-23.
What the agent's own analytics configuration produced on this call: extracted fields, match score, outcomes and tags. Present only for a custom agent whose after-call analysis has run.
Whether this is a test conversation. A test conversation is created with isTest=true, completes immediately without consuming billing minutes, and is excluded from billing and usage summaries. Use them to exercise webhook handlers and integration flows.
Example:
false
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