curl --request POST \
  --url https://sandbox.voice.miraiminds.co/v2/campaigns/{campaign_id}/insights \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://sandbox.voice.miraiminds.co/v2/campaigns/{campaign_id}/insights"

headers = {"Authorization": "Bearer <token>"}

response = requests.post(url, headers=headers)

print(response.text)

const url = 'https://sandbox.voice.miraiminds.co/v2/campaigns/{campaign_id}/insights';
const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};

fetch(url, options)
  .then(res => res.json())
  .then(json => console.log(json))
  .catch(err => console.error(err));

{
  "object": "campaign_insights",
  "schema": "insights.v1.6",
  "campaign_id": "cmp_01K79Q4T6W8XZ2B5D7F9H3JKMN",
  "funnel": {
    "tier": "measured",
    "stage_order": [
      "list",
      "valid",
      "deduped",
      "dialable",
      "attempted",
      "reached_the_network",
      "connected",
      "conversation",
      "classified"
    ],
    "stages": {
      "list": 3,
      "valid": 3,
      "deduped": 3,
      "dialable": 3,
      "attempted": 3,
      "reached_the_network": 3,
      "connected": 2,
      "conversation": 2,
      "classified": 2
    },
    "rates": {
      "answer_rate_pct": 66.7,
      "conversation_rate_pct": 100,
      "classified_rate_pct": 100
    },
    "failed_before_media": {
      "value": 0,
      "tier": "measured",
      "reasons": {},
      "note": "dials that never connected audio (a carrier or platform outage), neither an answer nor a rejection"
    },
    "not_attempted": {
      "value": 0,
      "tier": "measured"
    },
    "connected_without_speech": {
      "value": 0,
      "tier": "measured"
    },
    "retry_effectiveness": {
      "value": 0,
      "tier": "measured",
      "contacts_retried": 1,
      "answered_after_a_retry": 0,
      "note": "attempts is the contact's total; this is 'answered with more than one attempt recorded', not per-attempt history"
    }
  },
  "outcomes": {
    "tier": "measured",
    "conversations": 2,
    "counts": {
      "booked": 1,
      "will_call_back": 1
    },
    "percent_of_conversations": {
      "booked": 50,
      "will_call_back": 50
    },
    "warm": {
      "value": 2,
      "tier": "assumption_based",
      "assumptions_used": [
        "C7"
      ],
      "definition": [
        "booked",
        "callback_human",
        "will_call_back"
      ],
      "percent_of_conversations": 100
    },
    "unclassified": {
      "value": 0,
      "tier": "measured",
      "analysis_not_run": 0,
      "analysis_returned_no_outcome": 0,
      "connected_but_nobody_spoke": 0,
      "never_reached": 1
    },
    "bookings": {
      "value": [
        {
          "name": "राहुल",
          "phone": "+919876543210",
          "call_id": "call_01K2M4RB8CDEFGHJKMNPQRST",
          "contact_id": "lead-1041",
          "summary": "ग्राहक ने 18 अक्टूबर सुबह 10 बजे की सर्विस बुक की।",
          "when": "18 अक्टूबर, सुबह 10 बजे"
        }
      ],
      "tier": "measured"
    },
    "callbacks": {
      "value": [
        {
          "name": "अमित",
          "phone": "+919876501234",
          "call_id": "call_01K7D3G5J7M9P1R3T5V7X9Z1B4",
          "contact_id": "lead-1043",
          "summary": "ग्राहक अभी गाड़ी चला रहे थे, शाम को खुद कॉल करेंगे।",
          "when": ""
        }
      ],
      "tier": "measured"
    },
    "handoffs": {
      "value": [],
      "tier": "measured"
    },
    "label_confidence": {
      "tier": "assumption_based",
      "assumptions_used": [
        "C6"
      ],
      "value": null,
      "note": "outcome labels are AI-classified (±5-10%)"
    }
  },
  "money": {
    "tier": "measured",
    "source": "wallet_ledger",
    "total_spend_inr": {
      "value": 15,
      "tier": "measured",
      "debit_inr": 15,
      "credit_inr": 0,
      "calls_charged": 2,
      "calls_without_ledger_line": 1,
      "ledger_truncated": false,
      "scope_note": "costs counted are call charges only"
    },
    "talk_minutes": {
      "value": 1.87,
      "tier": "measured",
      "talk_seconds": 112
    },
    "billed_minutes": {
      "value": 3,
      "tier": "measured",
      "charged_calls": 2,
      "calls_under_one_minute": 1,
      "source": "wallet_ledger",
      "from_statement": 2,
      "from_rule": 0,
      "rule": "per call: ceil(duration / 60), minimum 1",
      "expected_by_rule": 3,
      "matches_rule": true
    },
    "billed_vs_talk_note": "3 minutes were billed against 1.87 minutes of talk time because billing is per call, rounded up, with a one-minute minimum — 1 of the 2 charged calls lasted under a minute.",
    "cost_per_conversation_inr": {
      "value": 7.5,
      "tier": "measured",
      "conversations": 2
    },
    "cost_per_booking_inr": {
      "value": 15,
      "tier": "measured",
      "bookings": 1
    },
    "cost_per_warm_inr": {
      "value": 7.5,
      "tier": "assumption_based",
      "assumptions_used": [
        "C7"
      ],
      "warm": 2
    },
    "cost_per_talk_minute_inr": {
      "value": 8.02,
      "tier": "measured"
    },
    "vs_human": {
      "value": -0.04,
      "tier": "assumption_based",
      "assumptions_used": [
        "C4"
      ],
      "human_cost_inr": 14.96,
      "human_rate_inr_per_min": 8,
      "machine_cost_inr": 15
    },
    "expected_pipeline_inr": {
      "value": 1950,
      "tier": "assumption_based",
      "assumptions_used": [
        "C1",
        "C2",
        "C3",
        "C7"
      ],
      "bookings": 1,
      "warm": 2
    },
    "roi_statement": {
      "value": "₹15.0 spent → ₹1950.0 expected pipeline",
      "tier": "assumption_based",
      "assumptions_used": [
        "C1",
        "C2",
        "C3",
        "C7"
      ]
    }
  },
  "ops": {
    "tier": "measured",
    "calls_without_timestamps": {
      "value": 1,
      "tier": "measured",
      "dialled": 3,
      "note": "a call record whose start stamp is missing or is a zero value; excluded from the wall clock, the concurrency sweep and the hour histogram"
    },
    "talk_total_secs": {
      "value": 112,
      "tier": "measured"
    },
    "talk_avg_secs": {
      "value": 56,
      "tier": "measured",
      "calls": 2
    },
    "talk_p50_secs": {
      "value": 44,
      "tier": "measured"
    },
    "talk_max_secs": {
      "value": 68,
      "tier": "measured"
    },
    "answer_rate_by_hour": {
      "value": {
        "10": {
          "attempted": 2,
          "connected": 2,
          "conversations": 2,
          "answer_rate_pct": 100
        },
        "11": {
          "attempted": 1,
          "connected": 0,
          "conversations": 0,
          "answer_rate_pct": 0
        }
      },
      "tier": "measured",
      "timezone": "Asia/Kolkata",
      "timezone_source": "zoneinfo",
      "basis": "started_at, else created_at (the dial moment)",
      "bucketed_by_created_at": 1,
      "attempts_without_a_timestamp": 0
    },
    "peak_concurrency_upper_bound": {
      "value": 1,
      "tier": "measured",
      "method": "sweep over started_at + duration_secs, whole-second stamps",
      "calls_with_a_full_window": 2,
      "calls_missing_a_window": 1,
      "configured_max_concurrent": 3,
      "exceeds_configured": false
    },
    "wall_clock_secs": {
      "value": 3664,
      "tier": "measured",
      "first_call_at": "2026-10-12T04:30:48+00:00",
      "last_call_ended_at": "2026-10-12T05:31:52+00:00"
    }
  },
  "quality": {
    "tier": "measured",
    "voice_to_voice_p50_ms": {
      "value": 790,
      "tier": "measured",
      "calls_measured": 2,
      "calls_unmeasured": 1,
      "sources": {
        "telemetry_v2v": 2
      },
      "calls_discarded_implausible": 0,
      "floor_ms": 200
    },
    "voice_to_voice_p90_ms": {
      "value": 820,
      "tier": "measured",
      "calls_measured": 2
    },
    "turn_end_to_end_p50_ms": {
      "value": null,
      "tier": "measured",
      "calls_measured": 0,
      "definition": "user stopped speaking -> bot stopped speaking"
    },
    "turns_per_conversation_avg": {
      "value": 6.5,
      "tier": "measured",
      "p50": 5,
      "conversations_counted": 2
    },
    "barge_ins_total": {
      "value": 0,
      "tier": "measured",
      "calls_with_turn_timing": 2,
      "calls_without_turn_timing": 1,
      "method": "transcript_overlap",
      "is_lower_bound": true,
      "definition": "a user turn that began before the bot's turn ended",
      "note": "a lower bound: an interruption that produced no transcribed user turn is not counted"
    },
    "short_call_rate_pct": {
      "value": 0,
      "tier": "measured",
      "threshold_secs": 15,
      "calls": 0,
      "of": "conversations"
    },
    "engaged_rate_pct": {
      "value": 50,
      "tier": "measured",
      "threshold_secs": 60,
      "calls": 1,
      "of": "conversations"
    }
  },
  "hygiene": {
    "tier": "measured",
    "invalid_numbers": {
      "value": 0,
      "tier": "measured",
      "reasons": {},
      "rows": []
    },
    "duplicate_phones": {
      "value": 0,
      "tier": "measured",
      "extra_rows": 0,
      "rows": []
    },
    "wrong_numbers": {
      "value": 0,
      "tier": "measured",
      "rows": []
    },
    "recently_serviced_contradictions": {
      "value": 0,
      "tier": "measured",
      "rows": []
    },
    "unreachable": {
      "value": 1,
      "tier": "measured",
      "rows": [
        {
          "phone": "+919812345678",
          "name": "प्रिया",
          "attempts": 2,
          "status": "exhausted",
          "last_status": "no_answer"
        }
      ],
      "note": "busy / no-answer is not a rejection"
    },
    "cleanup_value_inr": {
      "value": 0,
      "tier": "assumption_based",
      "assumptions_used": [
        "C5"
      ],
      "corrected_records": 0
    }
  },
  "deliverables": {
    "tier": "measured",
    "csv_url": "/v2/campaigns/cmp_01K79Q4T6W8XZ2B5D7F9H3JKMN/report?format=csv",
    "csv_columns": [
      "id",
      "phone",
      "name",
      "due_date",
      "vehicle",
      "status",
      "attempts",
      "last_call_id",
      "started_at",
      "duration_secs",
      "ended_reason",
      "cost_inr",
      "outcome",
      "success",
      "summary",
      "transcript",
      "recording_url"
    ],
    "csv_variable_columns": [
      "due_date",
      "vehicle"
    ],
    "recordings": {
      "value": 2,
      "tier": "measured",
      "expected": 2,
      "missing": 0,
      "link_expiry_days": 7,
      "basis": "call records that name a recording object"
    },
    "transcripts": {
      "value": 2,
      "tier": "measured",
      "expected": 2,
      "missing": 0
    },
    "call_records": {
      "value": 3,
      "tier": "measured",
      "expected": 3,
      "contacts_never_dialled": 0
    }
  },
  "cited_calls": {
    "call_01K2M4RB8CDEFGHJKMNPQRST": {
      "name": "राहुल",
      "phone_masked": "•••••••••3210",
      "outcome": "booked",
      "duration_secs": 68,
      "turns": [
        {
          "role": "assistant",
          "text": "नमस्ते, मैं आशु बोल रहा हूं मिराई मोटर्स से. एक मिनट है आपके पास?"
        },
        {
          "role": "user",
          "text": "हाँ बोलिए"
        },
        {
          "role": "assistant",
          "text": "आपकी स्विफ्ट की सर्विस 18 अक्टूबर को ड्यू है. स्लॉट बुक कर दूं?"
        },
        {
          "role": "user",
          "text": "हाँ, सुबह 10 बजे कर दीजिए"
        }
      ],
      "recording": true
    },
    "call_01K7D3G5J7M9P1R3T5V7X9Z1B4": {
      "name": "अमित",
      "phone_masked": "•••••••••1234",
      "outcome": "will_call_back",
      "duration_secs": 44,
      "turns": [
        {
          "role": "assistant",
          "text": "नमस्ते, मैं आशु बोल रहा हूं मिराई मोटर्स से. एक मिनट है आपके पास?"
        },
        {
          "role": "user",
          "text": "अभी ड्राइव कर रहा हूं, शाम को कॉल करता हूं"
        }
      ],
      "recording": true
    }
  },
  "assumptions": {
    "C1": {
      "label": "average service ticket",
      "value": 1500,
      "unit": "inr",
      "source": "default"
    },
    "C2": {
      "label": "warm-lead close rate",
      "value": 0.3,
      "unit": "rate",
      "source": "default"
    },
    "C3": {
      "label": "booking show-up rate",
      "value": 0.7,
      "unit": "rate",
      "source": "default"
    },
    "C4": {
      "label": "human telecaller cost",
      "value": 8,
      "unit": "inr_per_min",
      "source": "default"
    },
    "C5": {
      "label": "value of one corrected CRM record",
      "value": 10,
      "unit": "inr",
      "source": "default"
    },
    "C6": {
      "label": "outcome labels are AI-classified (±5-10%)",
      "value": null,
      "unit": "note",
      "source": "default"
    },
    "C7": {
      "label": "warm = booked + will_call_back + callback_human",
      "value": [
        "booked",
        "will_call_back",
        "callback_human"
      ],
      "unit": "outcome_set",
      "source": "default"
    },
    "C8": {
      "label": "costs counted are call charges only",
      "value": null,
      "unit": "note",
      "source": "default"
    },
    "C9": {
      "label": "recording links expire",
      "value": 7,
      "unit": "days",
      "source": "default"
    },
    "C10": {
      "label": "busy / no-answer is not a rejection",
      "value": null,
      "unit": "note",
      "source": "default"
    }
  },
  "meta": {
    "workspace_id": "ws_3f9a1c27d8e4b610",
    "generated_at": "2026-10-12T06:02:11Z",
    "data_version": "insights.v1.6|2026-10-12T05:41:09Z|completed|1500",
    "campaign": {
      "name": "सर्विस रिमाइंडर — अक्टूबर",
      "status": "completed",
      "tier": "t5",
      "agent_id": "agt_01K2M4P7QRSTVWXYZ0A1B2C3",
      "timezone": "Asia/Kolkata",
      "created_at": "2026-10-09T06:12:40Z",
      "updated_at": "2026-10-12T05:41:09Z"
    },
    "contacts_read": 3,
    "calls_named": 3,
    "call_records_found": 3,
    "call_records_missing": 0,
    "calls_without_timestamps": 1,
    "calls_failed_before_media": 0,
    "contacts_with_multiple_attempts": 0,
    "representative_overrides": 0,
    "attempts_recovered": 0,
    "group": null,
    "cited_calls_carried": 2,
    "cited_calls_truncated": false,
    "cited_calls_max": 80,
    "cited_transcript_chars": 269,
    "ledger_transactions_scanned": 2,
    "ledger_truncated": false,
    "tiers_present": [
      "measured",
      "assumption_based"
    ],
    "contacts_truncated": false,
    "served_from_cache": false
  }
}

{
  "error": {
    "code": "not_found",
    "message": "no campaign cmp_01K79Q4T6W8XZ2B5D7F9H3JKMN"
  }
}