{"meta":{"title":"Esquema de ejemplo para métricas de uso de Copilot","intro":"Consulte un esquema de ejemplo de los datos devueltos por la API de Copilot métricas de uso.","product":"GitHub Copilot","breadcrumbs":[{"href":"/es/enterprise-cloud@latest/copilot","title":"GitHub Copilot"},{"href":"/es/enterprise-cloud@latest/copilot/reference","title":"Referencia"},{"href":"/es/enterprise-cloud@latest/copilot/reference/copilot-usage-metrics","title":"Métricas de uso de Copilot"},{"href":"/es/enterprise-cloud@latest/copilot/reference/copilot-usage-metrics/example-schema","title":"Esquema de ejemplo"}],"documentType":"article"},"body":"# Esquema de ejemplo para métricas de uso de Copilot\n\nConsulte un esquema de ejemplo de los datos devueltos por la API de Copilot métricas de uso.\n\nA continuación se muestran esquemas de ejemplo para los datos de nivel de usuario, de nivel empresarial y de repositorio devueltos por los Copilot puntos de conexión de métricas de uso. Los datos reales devueltos pueden variar en función de las métricas específicas a las que se realiza el seguimiento y el nivel de agregación. Puede usar estos ejemplos como referencia para comprender la estructura de los datos y cómo interpretar los distintos campos y métricas incluidos en la respuesta de la API.\n\n## Ejemplo de esquema de nivel de usuario\n\n```json copy\n[{\n  \"ai_adoption_phase\": {\n    \"phase\": \"Phase 2\",\n    \"phase_number\": 2,\n    \"version\": \"v1\"\n  },\n  \"ai_credits_used\": 12.5,\n  \"code_acceptance_activity_count\": 3,\n  \"code_generation_activity_count\": 3,\n  \"day\": \"2025-10-01\",\n  \"enterprise_id\": \"1\",\n  \"loc_added_sum\": 32,\n  \"loc_deleted_sum\": 6,\n  \"loc_suggested_to_add_sum\": 34,\n  \"loc_suggested_to_delete_sum\": 6,\n  \"totals_by_cli\": {\n    \"last_known_cli_version\": {\n      \"cli_version\": \"1.0.8\",\n      \"sampled_at\": \"2025-10-01T00:01:43.000Z\"\n    },\n    \"prompt_count\": 2,\n    \"request_count\": 2,\n    \"session_count\": 2,\n    \"token_usage\": {\n      \"avg_tokens_per_request\": 4400.0,\n      \"output_tokens_sum\": 5000,\n      \"prompt_tokens_sum\": 3800\n    }\n  },\n  \"totals_by_copilot_app\": {\n    \"prompt_count\": 1,\n    \"request_count\": 3,\n    \"session_count\": 1,\n    \"token_usage\": {\n      \"avg_tokens_per_request\": 3200.0,\n      \"output_tokens_sum\": 4200,\n      \"prompt_tokens_sum\": 5400\n    }\n  },\n  \"totals_by_3rd_party_agent\": [{\n    \"agent_id\": \"2246796\",\n    \"agent_name\": \"Claude (Anthropic)\",\n    \"user_initiated_interaction_count\": 2\n  }, {\n    \"agent_id\": \"2248422\",\n    \"agent_name\": \"Codex (OpenAI)\",\n    \"user_initiated_interaction_count\": 2\n  }],\n  \"totals_by_feature\": [{\n    \"code_acceptance_activity_count\": 1,\n    \"code_generation_activity_count\": 1,\n    \"feature\": \"code_completion\",\n    \"loc_added_sum\": 8,\n    \"loc_deleted_sum\": 0,\n    \"loc_suggested_to_add_sum\": 10,\n    \"loc_suggested_to_delete_sum\": 0,\n    \"user_initiated_interaction_count\": 0\n  }, {\n    \"code_acceptance_activity_count\": 2,\n    \"code_generation_activity_count\": 2,\n    \"feature\": \"copilot_app\",\n    \"loc_added_sum\": 24,\n    \"loc_deleted_sum\": 6,\n    \"loc_suggested_to_add_sum\": 24,\n    \"loc_suggested_to_delete_sum\": 6,\n    \"user_initiated_interaction_count\": 1\n  }],\n  \"totals_by_ide\": [{\n    \"code_acceptance_activity_count\": 1,\n    \"code_generation_activity_count\": 1,\n    \"ide\": \"vscode\",\n    \"last_known_ide_version\": {\n      \"ide_version\": \"1.85.0\",\n      \"sampled_at\": \"2025-10-01T00:00:02.000Z\"\n    },\n    \"last_known_plugin_version\": {\n      \"plugin\": \"\",\n      \"plugin_version\": \"\",\n      \"sampled_at\": \"2025-10-01T00:00:02.000Z\"\n    },\n    \"loc_added_sum\": 8,\n    \"loc_deleted_sum\": 0,\n    \"loc_suggested_to_add_sum\": 10,\n    \"loc_suggested_to_delete_sum\": 0,\n    \"user_initiated_interaction_count\": 0\n  }],\n  \"totals_by_language_feature\": [{\n    \"code_acceptance_activity_count\": 1,\n    \"code_generation_activity_count\": 1,\n    \"feature\": \"code_completion\",\n    \"language\": \"unknown\",\n    \"loc_added_sum\": 8,\n    \"loc_deleted_sum\": 0,\n    \"loc_suggested_to_add_sum\": 10,\n    \"loc_suggested_to_delete_sum\": 0\n  }, {\n    \"code_acceptance_activity_count\": 2,\n    \"code_generation_activity_count\": 2,\n    \"feature\": \"copilot_app\",\n    \"language\": \"markdown\",\n    \"loc_added_sum\": 24,\n    \"loc_deleted_sum\": 6,\n    \"loc_suggested_to_add_sum\": 24,\n    \"loc_suggested_to_delete_sum\": 6\n  }],\n  \"totals_by_language_model\": [],\n  \"totals_by_model_feature\": [],\n  \"used_agent\": false,\n  \"used_chat\": false,\n  \"used_cli\": true,\n  \"used_copilot_app\": true,\n  \"used_copilot_cloud_agent\": false,\n  \"used_copilot_code_review_active\": null,\n  \"used_copilot_code_review_passive\": null,\n  \"used_copilot_coding_agent\": false,\n  \"user_id\": 1,\n  \"user_login\": \"login1\",\n  \"user_initiated_interaction_count\": 1,\n  \"etl_id\": \"green\",\n  \"day_partition\": \"2025-10-01\",\n  \"entity_id_partition\": 1\n}]\n```\n\nLos informes por usuario de la organización utilizan los mismos campos de entrada `totals_by_3rd_party_agent` y también incluyen `organization_id`. Las entradas por usuario no incluyen `session_count`.\n\nEn este ejemplo, `used_copilot_code_review_active` y `used_copilot_code_review_passive` son `null` porque no había ninguna señal Copilot code review para el usuario ese día.\n`used_copilot_cloud_agent` y `used_copilot_coding_agent` siempre llevan el mismo valor.\n\n## Ejemplo de esquema de nivel empresarial\n\n```json copy\n[ {\n  \"day_totals\" : [ {\n    \"code_acceptance_activity_count\" : 4,\n    \"code_generation_activity_count\" : 4,\n    \"daily_active_cli_users\" : 2,\n    \"daily_active_copilot_app_users\" : 1,\n    \"daily_active_copilot_cloud_agent_users\" : 1,\n    \"daily_active_copilot_code_review_users\" : 1,\n    \"daily_active_users\" : 2,\n    \"daily_passive_copilot_code_review_users\" : 0,\n    \"day\" : \"2025-10-01\",\n    \"enterprise_id\" : \"1\",\n    \"loc_added_sum\" : 54,\n    \"loc_deleted_sum\" : 6,\n    \"loc_suggested_to_add_sum\" : 59,\n    \"loc_suggested_to_delete_sum\" : 6,\n    \"monthly_active_agent_users\" : 0,\n    \"monthly_active_chat_users\" : 0,\n    \"monthly_active_copilot_cloud_agent_users\" : 1,\n    \"monthly_active_copilot_code_review_users\" : 1,\n    \"monthly_active_users\" : 2,\n    \"monthly_passive_copilot_code_review_users\" : 0,\n    \"pull_requests\" : {\n      \"median_minutes_to_merge\" : 2.5,\n      \"median_minutes_to_merge_copilot_authored\" : 2.5,\n      \"median_minutes_to_merge_copilot_reviewed\" : 2.5,\n      \"total_applied_suggestions\" : 1,\n      \"total_copilot_applied_suggestions\" : 1,\n      \"total_copilot_suggestions\" : 1,\n      \"total_created\" : 2,\n      \"total_created_by_copilot\" : 1,\n      \"total_merged\" : 2,\n      \"total_merged_created_by_copilot\" : 1,\n      \"total_merged_reviewed_by_copilot\" : 1,\n      \"total_reviewed\" : 1,\n      \"total_reviewed_by_copilot\" : 1,\n      \"total_suggestions\" : 1\n    },\n    \"totals_by_3rd_party_agent\" : [ {\n      \"agent_id\" : \"2246796\",\n      \"agent_name\" : \"Claude (Anthropic)\",\n      \"session_count\" : 1,\n      \"user_initiated_interaction_count\" : 2\n    }, {\n      \"agent_id\" : \"2248422\",\n      \"agent_name\" : \"Codex (OpenAI)\",\n      \"session_count\" : 2,\n      \"user_initiated_interaction_count\" : 2\n    } ],\n    \"totals_by_ai_adoption_phase\" : [ {\n      \"avg_code_acceptance_activities\" : 1.0,\n      \"avg_code_generation_activities\" : 1.0,\n      \"avg_loc_added\" : 22.0,\n      \"avg_loc_deleted\" : 0.0,\n      \"avg_pull_requests_created\" : 1.0,\n      \"avg_pull_requests_median_minutes_to_merge\" : 2.5,\n      \"avg_pull_requests_merged\" : 1.0,\n      \"avg_pull_requests_minutes_to_review\" : 1.5,\n      \"avg_pull_requests_review_cycles\" : 1.0,\n      \"avg_pull_requests_reviewed\" : 0.0,\n      \"avg_user_initiated_interactions\" : 0.0,\n      \"phase\" : \"Phase 1\",\n      \"phase_number\" : 1,\n      \"total_engaged_users\" : 1,\n      \"total_pull_requests_merged\" : 1\n    }, {\n      \"avg_code_acceptance_activities\" : 3.0,\n      \"avg_code_generation_activities\" : 3.0,\n      \"avg_loc_added\" : 32.0,\n      \"avg_loc_deleted\" : 6.0,\n      \"avg_pull_requests_created\" : 1.0,\n      \"avg_pull_requests_median_minutes_to_merge\" : 2.5,\n      \"avg_pull_requests_merged\" : 1.0,\n      \"avg_pull_requests_minutes_to_review\" : 2.0,\n      \"avg_pull_requests_review_cycles\" : 2.0,\n      \"avg_pull_requests_reviewed\" : 1.0,\n      \"avg_user_initiated_interactions\" : 1.0,\n      \"phase\" : \"Phase 2\",\n      \"phase_number\" : 2,\n      \"total_engaged_users\" : 1,\n      \"total_pull_requests_merged\" : 1\n    } ],\n    \"totals_by_cli\" : {\n      \"prompt_count\" : 3,\n      \"request_count\" : 3,\n      \"session_count\" : 3,\n      \"token_usage\" : {\n        \"avg_tokens_per_request\" : 4100.0,\n        \"output_tokens_sum\" : 7000,\n        \"prompt_tokens_sum\" : 5300\n      }\n    },\n    \"totals_by_copilot_app\" : {\n      \"prompt_count\" : 2,\n      \"request_count\" : 6,\n      \"session_count\" : 2,\n      \"token_usage\" : {\n        \"avg_tokens_per_request\" : 2466.67,\n        \"output_tokens_sum\" : 6200,\n        \"prompt_tokens_sum\" : 8600\n      }\n    },\n    \"totals_by_feature\" : [ {\n      \"code_acceptance_activity_count\" : 2,\n      \"code_generation_activity_count\" : 2,\n      \"feature\" : \"code_completion\",\n      \"loc_added_sum\" : 30,\n      \"loc_deleted_sum\" : 0,\n      \"loc_suggested_to_add_sum\" : 35,\n      \"loc_suggested_to_delete_sum\" : 0,\n      \"user_initiated_interaction_count\" : 0\n    }, {\n      \"code_acceptance_activity_count\" : 2,\n      \"code_generation_activity_count\" : 2,\n      \"feature\" : \"copilot_app\",\n      \"loc_added_sum\" : 24,\n      \"loc_deleted_sum\" : 6,\n      \"loc_suggested_to_add_sum\" : 24,\n      \"loc_suggested_to_delete_sum\" : 6,\n      \"user_initiated_interaction_count\" : 1\n    } ],\n    \"totals_by_ide\" : [ {\n      \"code_acceptance_activity_count\" : 2,\n      \"code_generation_activity_count\" : 2,\n      \"ide\" : \"vscode\",\n      \"loc_added_sum\" : 30,\n      \"loc_deleted_sum\" : 0,\n      \"loc_suggested_to_add_sum\" : 35,\n      \"loc_suggested_to_delete_sum\" : 0,\n      \"user_initiated_interaction_count\" : 0\n    } ],\n    \"totals_by_language_feature\" : [ {\n      \"code_acceptance_activity_count\" : 2,\n      \"code_generation_activity_count\" : 2,\n      \"feature\" : \"code_completion\",\n      \"language\" : \"unknown\",\n      \"loc_added_sum\" : 30,\n      \"loc_deleted_sum\" : 0,\n      \"loc_suggested_to_add_sum\" : 35,\n      \"loc_suggested_to_delete_sum\" : 0\n    }, {\n      \"code_acceptance_activity_count\" : 2,\n      \"code_generation_activity_count\" : 2,\n      \"feature\" : \"copilot_app\",\n      \"language\" : \"markdown\",\n      \"loc_added_sum\" : 24,\n      \"loc_deleted_sum\" : 6,\n      \"loc_suggested_to_add_sum\" : 24,\n      \"loc_suggested_to_delete_sum\" : 6\n    } ],\n    \"totals_by_language_model\" : [ ],\n    \"totals_by_model_feature\" : [ ],\n    \"user_initiated_interaction_count\" : 1,\n    \"weekly_active_copilot_cloud_agent_users\" : 1,\n    \"weekly_active_copilot_code_review_users\" : 1,\n    \"weekly_active_users\" : 2,\n    \"weekly_passive_copilot_code_review_users\" : 0\n  } ],\n  \"enterprise_id\" : \"1\",\n  \"report_end_day\" : \"2025-10-01\",\n  \"report_start_day\" : \"2025-09-04\",\n  \"etl_id\" : \"green\",\n  \"day_partition\" : \"2025-10-01\",\n  \"entity_id_partition\" : 1\n}, {\n  \"day_totals\" : [ {\n    \"code_acceptance_activity_count\" : 2,\n    \"code_generation_activity_count\" : 3,\n    \"daily_active_copilot_cloud_agent_users\" : 0,\n    \"daily_active_copilot_code_review_users\" : 0,\n    \"daily_active_users\" : 2,\n    \"daily_passive_copilot_code_review_users\" : 0,\n    \"day\" : \"2025-10-01\",\n    \"enterprise_id\" : \"2\",\n    \"loc_added_sum\" : 50,\n    \"loc_deleted_sum\" : 3,\n    \"loc_suggested_to_add_sum\" : 52,\n    \"loc_suggested_to_delete_sum\" : 3,\n    \"monthly_active_agent_users\" : 0,\n    \"monthly_active_chat_users\" : 0,\n    \"monthly_active_copilot_cloud_agent_users\" : 0,\n    \"monthly_active_copilot_code_review_users\" : 0,\n    \"monthly_active_users\" : 2,\n    \"monthly_passive_copilot_code_review_users\" : 0,\n    \"pull_requests\" : {\n      \"total_applied_suggestions\" : 0,\n      \"total_copilot_applied_suggestions\" : 0,\n      \"total_copilot_suggestions\" : 0,\n      \"total_created\" : 1,\n      \"total_created_by_copilot\" : 0,\n      \"total_merged\" : 0,\n      \"total_merged_created_by_copilot\" : 0,\n      \"total_merged_reviewed_by_copilot\" : 0,\n      \"total_reviewed\" : 1,\n      \"total_reviewed_by_copilot\" : 0,\n      \"total_suggestions\" : 1\n    },\n    \"totals_by_ai_adoption_phase\" : [ {\n      \"avg_code_acceptance_activities\" : 0.0,\n      \"avg_code_generation_activities\" : 1.0,\n      \"avg_loc_added\" : 12.0,\n      \"avg_loc_deleted\" : 3.0,\n      \"avg_pull_requests_created\" : 0.0,\n      \"avg_pull_requests_median_minutes_to_merge\" : 0.0,\n      \"avg_pull_requests_merged\" : 0.0,\n      \"avg_pull_requests_minutes_to_review\" : 0.0,\n      \"avg_pull_requests_review_cycles\" : 0.0,\n      \"avg_pull_requests_reviewed\" : 0.0,\n      \"avg_user_initiated_interactions\" : 0.0,\n      \"phase\" : \"No Cohort\",\n      \"phase_number\" : 0,\n      \"total_engaged_users\" : 1,\n      \"total_pull_requests_merged\" : 0\n    }, {\n      \"avg_code_acceptance_activities\" : 2.0,\n      \"avg_code_generation_activities\" : 2.0,\n      \"avg_loc_added\" : 38.0,\n      \"avg_loc_deleted\" : 0.0,\n      \"avg_pull_requests_created\" : 1.0,\n      \"avg_pull_requests_median_minutes_to_merge\" : 0.0,\n      \"avg_pull_requests_merged\" : 0.0,\n      \"avg_pull_requests_minutes_to_review\" : 0.0,\n      \"avg_pull_requests_review_cycles\" : 0.0,\n      \"avg_pull_requests_reviewed\" : 1.0,\n      \"avg_user_initiated_interactions\" : 1.0,\n      \"phase\" : \"Phase 1\",\n      \"phase_number\" : 1,\n      \"total_engaged_users\" : 1,\n      \"total_pull_requests_merged\" : 0\n    } ],\n    \"totals_by_feature\" : [ {\n      \"code_acceptance_activity_count\" : 1,\n      \"code_generation_activity_count\" : 2,\n      \"feature\" : \"code_completion\",\n      \"loc_added_sum\" : 38,\n      \"loc_deleted_sum\" : 0,\n      \"loc_suggested_to_add_sum\" : 40,\n      \"loc_suggested_to_delete_sum\" : 0,\n      \"user_initiated_interaction_count\" : 0\n    }, {\n      \"code_acceptance_activity_count\" : 1,\n      \"code_generation_activity_count\" : 1,\n      \"feature\" : \"copilot_app\",\n      \"loc_added_sum\" : 12,\n      \"loc_deleted_sum\" : 3,\n      \"loc_suggested_to_add_sum\" : 12,\n      \"loc_suggested_to_delete_sum\" : 3,\n      \"user_initiated_interaction_count\" : 1\n    } ],\n    \"totals_by_ide\" : [ {\n      \"code_acceptance_activity_count\" : 1,\n      \"code_generation_activity_count\" : 2,\n      \"ide\" : \"vscode\",\n      \"loc_added_sum\" : 38,\n      \"loc_deleted_sum\" : 0,\n      \"loc_suggested_to_add_sum\" : 40,\n      \"loc_suggested_to_delete_sum\" : 0,\n      \"user_initiated_interaction_count\" : 0\n    } ],\n    \"totals_by_language_feature\" : [ {\n      \"code_acceptance_activity_count\" : 1,\n      \"code_generation_activity_count\" : 2,\n      \"feature\" : \"code_completion\",\n      \"language\" : \"unknown\",\n      \"loc_added_sum\" : 38,\n      \"loc_deleted_sum\" : 0,\n      \"loc_suggested_to_add_sum\" : 40,\n      \"loc_suggested_to_delete_sum\" : 0\n    }, {\n      \"code_acceptance_activity_count\" : 1,\n      \"code_generation_activity_count\" : 1,\n      \"feature\" : \"copilot_app\",\n      \"language\" : \"markdown\",\n      \"loc_added_sum\" : 12,\n      \"loc_deleted_sum\" : 3,\n      \"loc_suggested_to_add_sum\" : 12,\n      \"loc_suggested_to_delete_sum\" : 3\n    } ],\n    \"totals_by_language_model\" : [ ],\n    \"totals_by_model_feature\" : [ ],\n    \"user_initiated_interaction_count\" : 1,\n    \"weekly_active_copilot_cloud_agent_users\" : 0,\n    \"weekly_active_copilot_code_review_users\" : 0,\n    \"weekly_active_users\" : 2,\n    \"weekly_passive_copilot_code_review_users\" : 0\n  } ],\n  \"enterprise_id\" : \"2\",\n  \"report_end_day\" : \"2025-10-01\",\n  \"report_start_day\" : \"2025-09-04\",\n  \"etl_id\" : \"green\",\n  \"day_partition\" : \"2025-10-01\",\n  \"entity_id_partition\" : 2\n} ]\n```\n\nLos informes agregados de la organización utilizan los mismos campos de entrada `totals_by_3rd_party_agent`, incluidos `session_count`, y también incluyen `organization_id`.\n\nLos siguientes ejemplos de informes de equipos de usuarios los devuelven los puntos de conexión `user-teams-1-day` y están pensados para combinarse con el informe de uso por usuario en `user_id`, `day` y el identificador de entidad correspondiente (`organization_id` para el ámbito de la organización, `enterprise_id` para el ámbito empresarial) para obtener métricas a nivel de equipo. Para obtener más instrucciones, consulte [Métricas de uso de Copilot a nivel de equipo](/es/enterprise-cloud@latest/copilot/reference/copilot-usage-metrics/team-level-metrics).\n\n> \\[!NOTE]\n> Los equipos con menos de 5 usuarios con puesto Copilot se omiten de los informes de los equipos de usuario.\n\n## Ejemplo de esquema de equipos de usuario de la organización\n\n```json copy\n[\n  {\n    \"user_id\": 1001,\n    \"user_login\": \"octocat\",\n    \"day\": \"2026-05-14\",\n    \"organization_id\": \"999\",\n    \"team_id\": 42,\n    \"slug\": \"frontend\"\n  },\n  {\n    \"user_id\": 1001,\n    \"user_login\": \"octocat\",\n    \"day\": \"2026-05-14\",\n    \"organization_id\": \"999\",\n    \"team_id\": 43,\n    \"slug\": \"backend\"\n  },\n  {\n    \"user_id\": 1002,\n    \"user_login\": \"hubot\",\n    \"day\": \"2026-05-14\",\n    \"organization_id\": \"999\",\n    \"team_id\": 42,\n    \"slug\": \"frontend\"\n  }\n]\n```\n\n## Ejemplo de esquema de equipos de usuario de empresa\n\n```json copy\n[\n  {\n    \"user_id\": 1001,\n    \"user_login\": \"octocat\",\n    \"day\": \"2026-05-14\",\n    \"enterprise_id\": \"1\",\n    \"team_id\": 9001,\n    \"slug\": \"eng-platform\"\n  },\n  {\n    \"user_id\": 1001,\n    \"user_login\": \"octocat\",\n    \"day\": \"2026-05-14\",\n    \"enterprise_id\": \"1\",\n    \"team_id\": 7001,\n    \"slug\": \"business-analytics\"\n  },\n  {\n    \"user_id\": 1002,\n    \"user_login\": \"hubot\",\n    \"day\": \"2026-05-14\",\n    \"enterprise_id\": \"1\",\n    \"team_id\": 9001,\n    \"slug\": \"eng-platform\"\n  }\n]\n```\n\n## Ejemplo de esquema de nivel de repositorio\n\nEl siguiente ejemplo de informe a nivel de repositorio se devuelve en los archivos NDJSON descargados de los puntos de conexión `repos-1-day`. Cada fila representa un repositorio con actividad de solicitud de incorporación de cambios en el día solicitado. Tanto las filas con ámbito empresarial como las con ámbito de organización se rellenan con `organization_id` (la organización a la que pertenece cada repositorio). Las filas cuyo ámbito es la empresa también rellenan `enterprise_id`, y las filas cuyo ámbito es la organización solo rellenan `enterprise_id` para las organizaciones que pertenecen a una empresa. Para obtener la referencia de campo, consulte [Datos disponibles en métricas de uso de Copilot](/es/enterprise-cloud@latest/copilot/reference/copilot-usage-metrics/copilot-usage-metrics#repository-level-fields-api-only).\n\n```json copy\n[\n  {\n    \"day\": \"2026-07-14\",\n    \"enterprise_id\": \"1001\",\n    \"organization_id\": \"2002\",\n    \"repo_id\": 900000001,\n    \"repo_owner_name\": \"octodemo-metrics\",\n    \"repo_name\": \"example-service-alpha\",\n    \"repo_visibility\": \"INTERNAL\",\n    \"pull_requests\": {\n      \"total_reviewed\": 1,\n      \"total_created\": 1,\n      \"total_created_by_copilot\": 1,\n      \"total_reviewed_by_copilot\": 1,\n      \"total_merged\": 1,\n      \"median_minutes_to_merge\": 372.62,\n      \"total_suggestions\": 0,\n      \"total_applied_suggestions\": 0,\n      \"total_merged_created_by_copilot\": 1,\n      \"median_minutes_to_merge_copilot_authored\": 372.62,\n      \"total_copilot_suggestions\": 0,\n      \"total_copilot_applied_suggestions\": 0,\n      \"total_merged_reviewed_by_copilot\": 1,\n      \"median_minutes_to_merge_copilot_reviewed\": 372.62,\n      \"copilot_suggestions_by_comment_type\": []\n    }\n  },\n  {\n    \"day\": \"2026-07-14\",\n    \"enterprise_id\": \"1001\",\n    \"organization_id\": \"2002\",\n    \"repo_id\": 900000003,\n    \"repo_owner_name\": \"octodemo-metrics\",\n    \"repo_name\": \"example-service-gamma\",\n    \"repo_visibility\": \"INTERNAL\",\n    \"pull_requests\": {\n      \"total_reviewed\": 1,\n      \"total_created\": 0,\n      \"total_created_by_copilot\": 0,\n      \"total_reviewed_by_copilot\": 1,\n      \"total_merged\": 1,\n      \"median_minutes_to_merge\": 1020.53,\n      \"total_suggestions\": 0,\n      \"total_applied_suggestions\": 1,\n      \"total_merged_created_by_copilot\": 0,\n      \"total_copilot_suggestions\": 0,\n      \"total_copilot_applied_suggestions\": 1,\n      \"total_merged_reviewed_by_copilot\": 1,\n      \"median_minutes_to_merge_copilot_reviewed\": 1020.53,\n      \"copilot_suggestions_by_comment_type\": [\n        {\n          \"comment_type\": \"spelling\",\n          \"total_copilot_suggestions\": 0,\n          \"total_copilot_applied_suggestions\": 1\n        }\n      ]\n    }\n  },\n  {\n    \"day\": \"2026-07-14\",\n    \"organization_id\": \"3003\",\n    \"enterprise_id\": \"\",\n    \"repo_id\": 900000010,\n    \"repo_owner_name\": \"octodemo-metrics\",\n    \"repo_name\": \"example-service-delta\",\n    \"repo_visibility\": \"PRIVATE\",\n    \"pull_requests\": {\n      \"total_reviewed\": 1,\n      \"total_created\": 0,\n      \"total_created_by_copilot\": 0,\n      \"total_reviewed_by_copilot\": 1,\n      \"total_merged\": 2,\n      \"median_minutes_to_merge\": 1332.96,\n      \"total_suggestions\": 1,\n      \"total_applied_suggestions\": 2,\n      \"total_merged_created_by_copilot\": 1,\n      \"median_minutes_to_merge_copilot_authored\": 1329.47,\n      \"total_copilot_suggestions\": 1,\n      \"total_copilot_applied_suggestions\": 2,\n      \"total_merged_reviewed_by_copilot\": 2,\n      \"median_minutes_to_merge_copilot_reviewed\": 1332.96,\n      \"copilot_suggestions_by_comment_type\": [\n        {\n          \"comment_type\": \"documentation\",\n          \"total_copilot_suggestions\": 1,\n          \"total_copilot_applied_suggestions\": 1\n        },\n        {\n          \"comment_type\": \"spelling\",\n          \"total_copilot_suggestions\": 0,\n          \"total_copilot_applied_suggestions\": 1\n        }\n      ]\n    }\n  }\n]\n```"}