creatordb-app · Schema
InstagramPerformanceHistoryData
The historical performance metrics of the specified Instagram account.
CompanyCreator DataInfluencer MarketingAPIAnalyticsAsia
Properties
| Name | Type | Description |
|---|---|---|
| histories | array | Historical performance snapshots, each containing metrics and a corresponding Unix timestamp in milliseconds. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://artifacts.apis.io/creatordb-app/json-schema/creatordb-app-instagram-performance-history-data-schema.json",
"title": "InstagramPerformanceHistoryData",
"description": "The historical performance metrics of the specified Instagram account.",
"x-generated": "2026-10-30",
"x-method": "derived",
"x-generator": "derive-json-schema.py",
"x-source": "openapi/creatordb-app-openapi.yaml#/components/schemas/InstagramPerformanceHistoryData",
"type": "object",
"properties": {
"histories": {
"type": "array",
"description": "Historical performance snapshots, each containing metrics and a corresponding Unix timestamp in milliseconds.",
"items": {
"type": "object",
"description": "A snapshot of the performance metrics on the specified date.",
"properties": {
"timestamp": {
"type": "integer",
"description": "The performance snapshot date, represented as a Unix timestamp in milliseconds.",
"exclusiveMinimum": 0
},
"totalFollowers": {
"type": "integer",
"description": "Total number of followers.",
"minimum": 0
},
"totalFollowing": {
"type": "integer",
"description": "Total number of accounts followed.",
"minimum": 0
},
"totalContents": {
"type": "integer",
"description": "Total number of posts.",
"minimum": 0
},
"imagesPerformanceRecent": {
"type": "object",
"description": "Performance metrics of the image posts for the specified time period.",
"properties": {
"likes": {
"type": "object",
"properties": {
"all": {
"type": "integer",
"description": "Total number of likes.",
"minimum": 0
},
"avg": {
"type": "number",
"description": "Average number of likes per image post, rounded to an integer.",
"minimum": 0
},
"median": {
"type": "number",
"description": "Median number of likes.",
"minimum": 0
},
"min": {
"type": "number",
"description": "Minimum number of likes.",
"minimum": 0
},
"max": {
"type": "number",
"description": "Maximum number of likes.",
"minimum": 0
}
},
"required": [
"all",
"avg",
"median",
"min",
"max"
]
},
"comments": {
"type": "object",
"properties": {
"all": {
"type": "integer",
"description": "Total number of comments.",
"minimum": 0
},
"avg": {
"type": "number",
"description": "Average number of comments per image post, rounded to an integer.",
"minimum": 0
},
"median": {
"type": "number",
"description": "Median number of comments.",
"minimum": 0
},
"min": {
"type": "number",
"description": "Minimum number of comments.",
"minimum": 0
},
"max": {
"type": "number",
"description": "Maximum number of comments.",
"minimum": 0
}
},
"required": [
"all",
"avg",
"median",
"min",
"max"
]
},
"engagement": {
"type": "object",
"description": "Engagement performance metrics including rates, per-follower statistics, and consistency analysis.",
"properties": {
"avgEngagementRate": {
"type": "number",
"description": "Average engagement rate per Instagram image post (excluding older pinned image posts), rounded to 4th decimal place. <br />\n - *Engagement Rate = (Likes + Comments)/ Followers*",
"minimum": 0
},
"likesPerFollower": {
"type": "number",
"description": "Average number of likes per follower, rounded to 4th decimal place.",
"minimum": 0
},
"commentsPerFollower": {
"type": "number",
"description": "Average number of comments per follower, rounded to 4th decimal place.",
"minimum": 0
},
"engagementConsistency": {
"type": "object",
"description": "Consistency of engagement performance.",
"properties": {
"cv": {
"type": "number",
"description": "*cv = Standard Deviation of Engagement Rate/ Mean Engagement Rate* <br />\n- The value is rounded to 4th decimal place. <br />\n- Lower values indicate more consistent performance. <br />\n- *A value of `0` indicates insufficient data.*",
"minimum": 0
},
"medianVsMean": {
"type": "number",
"description": "*medianVsMean = Median Engagement Rate/ Mean Engagement Rate* <br />\n- The value is rounded to 4th decimal place. <br />\n- Values closer to `1` indicate more consistent performance. <br />\n- *A value of `0` indicates insufficient data.*",
"minimum": 0
},
"topBottomRatio": {
"type": "number",
"description": "*topBottomRatio = avg(Top 3 Engagement)/avg(Bottom 3 Engagement)* <br />\n- The value is rounded to 4th decimal place. <br />\n- Lower ratios indicate more consistent performance. <br />\n- *A value of `0` indicates insufficient data.*",
"minimum": 0
},
"consistencyScore": {
"type": [
"integer",
"null"
],
"description": "*consistencyScore = 100 - [(cvScore\\*weight_cv) + (topBottomScore\\*weight_topBottom) + (medianVsMeanScore\\*weight_medianVsMean)]* <br />\n- The score is rounded to an integer. <br />\n- A higher score indicates more stable and consistent performance. <br />\n- Returns `null` when any of the three indicators (`cv`, `medianVsMean`, `topBottomRatio`) is `0`, indicating insufficient data.",
"minimum": 0,
"maximum": 100
},
"consistencyLevel": {
"type": [
"string",
"null"
],
"enum": [
"high",
"moderate",
"low",
null
],
"description": "A qualitative label based on the `consistencyScore`: <br />\n- high: 81 - 100 <br />\n- moderate: 51 - 80 <br />\n- low: 1 - 50 <br />\n- Returns `null` when `consistencyScore` is `null`, indicating insufficient data."
}
},
"required": [
"cv",
"medianVsMean",
"topBottomRatio",
"consistencyScore",
"consistencyLevel"
]
}
},
"required": [
"avgEngagementRate",
"likesPerFollower",
"commentsPerFollower",
"engagementConsistency"
]
}
},
"required": [
"likes",
"comments",
"engagement"
]
},
"reelsPerformanceRecent": {
"type": "object",
"description": "The Instagram reels performance metrics for the specified time period.",
"properties": {
"likes": {
"type": "object",
"properties": {
"all": {
"type": "integer",
"description": "Total number of likes.",
"minimum": 0
},
"avg": {
"type": "number",
"description": "Average number of likes per Instagram reel, rounded to an integer.",
"minimum": 0
},
"median": {
"type": "number",
"description": "Median number of likes.",
"minimum": 0
},
"min": {
"type": "number",
"description": "Minimum number of likes.",
"minimum": 0
},
"max": {
"type": "number",
"description": "Maximum number of likes.",
"minimum": 0
}
},
"required": [
"all",
"avg",
"median",
"min",
"max"
]
},
"comments": {
"type": "object",
"properties": {
"all": {
"type": "integer",
"description": "Total number of comments.",
"minimum": 0
},
"avg": {
"type": "number",
"description": "Average number of comments per Instagram reel, rounded to an integer.",
"minimum": 0
},
"median": {
"type": "number",
"description": "Median number of comments.",
"minimum": 0
},
"min": {
"type": "number",
"description": "Minimum number of comments.",
"minimum": 0
},
"max": {
"type": "number",
"description": "Maximum number of comments.",
"minimum": 0
}
},
"required": [
"all",
"avg",
"median",
"min",
"max"
]
},
"views": {
"type": "object",
"properties": {
"all": {
"type": "integer",
"description": "Total number of views.",
"minimum": 0
},
"avg": {
"type": "number",
"description": "Average number of views per Instagram reel, rounded to an integer.",
"minimum": 0
},
"median": {
"type": "number",
"description": "Median number of views.",
"minimum": 0
},
"min": {
"type": "number",
"description": "Minimum number of views.",
"minimum": 0
},
"max": {
"type": "number",
"description": "Maximum number of views.",
"minimum": 0
}
},
"required": [
"all",
"avg",
"median",
"min",
"max"
]
},
"engagement": {
"type": "object",
"description": "Engagement performance metrics for Instagram reels.",
"properties": {
"avgEngagementRate": {
"type": "number",
"description": "Average engagement rate per Instagram reel (excluding older pinned reels), rounded to 4th decimal place. <br />\n - *Engagement Rate = (Likes + Comments) / Views*",
"minimum": 0
},
"likesPerFollower": {
"type": "number",
"description": "Average number of likes per follower, rounded to 4th decimal place.",
"minimum": 0
},
"commentsPerFollower": {
"type": "number",
"description": "Average number of comments per follower, rounded to 4th decimal place.",
"minimum": 0
},
"viewsPerFollower": {
"type": "number",
"description": "Average number of views per follower, rounded to 4th decimal place.",
"minimum": 0
},
"engagementConsistency": {
"type": "object",
"description": "Consistency of engagement performance across Instagram reels.",
"properties": {
"cv": {
"type": "number",
"description": "*cv = Standard Deviation of Engagement Rate/ Mean Engagement Rate* <br />\n- The value is rounded to 4th decimal place. <br />\n- Lower values indicate more consistent performance. <br />\n- *A value of `0` indicates insufficient data.*",
"minimum": 0
},
"medianVsMean": {
"type": "number",
"description": "*medianVsMean = Median Engagement Rate/ Mean Engagement Rate* <br />\n- The value is rounded to 4th decimal place. <br />\n- Values closer to `1` indicate more consistent performance. <br />\n- *A value of `0` indicates insufficient data.*",
"minimum": 0
},
"topBottomRatio": {
"type": "number",
"description": "*topBottomRatio = avg(Top 3 Engagement)/avg(Bottom 3 Engagement)* <br />\n- The value is rounded to 4th decimal place. <br />\n- Lower ratios indicate more consistent performance. <br />\n- *A value of `0` indicates insufficient data.*",
"minimum": 0
},
"consistencyScore": {
"type": [
"integer",
"null"
],
"description": "*consistencyScore = 100 - [(cvScore\\*weight_cv) + (topBottomScore\\*weight_topBottom) + (medianVsMeanScore\\*weight_medianVsMean)]* <br />\n- The score is rounded to an integer. <br />\n- A higher score indicates more stable and consistent performance. <br />\n- Returns `null` when any of the three indicators (`cv`, `medianVsMean`, `topBottomRatio`) is `0`, indicating insufficient data.",
"minimum": 0,
"maximum": 100
},
"consistencyLevel": {
"type": [
"string",
"null"
],
"enum": [
"high",
"moderate",
"low",
null
],
"description": "A qualitative label based on the `consistencyScore`: <br />\n- high: 81 - 100 <br />\n- moderate: 51 - 80 <br />\n- low: 1 - 50 <br />\n- Returns `null` when `consistencyScore` is `null`, indicating insufficient data."
}
},
"required": [
"cv",
"medianVsMean",
"topBottomRatio",
"consistencyScore",
"consistencyLevel"
]
}
},
"required": [
"avgEngagementRate",
"likesPerFollower",
"commentsPerFollower",
"viewsPerFollower",
"engagementConsistency"
]
}
},
"required": [
"likes",
"comments",
"views",
"engagement"
]
}
},
"required": [
"timestamp",
"totalFollowers",
"totalFollowing",
"totalContents",
"imagesPerformanceRecent",
"reelsPerformanceRecent"
]
}
}
},
"required": [
"histories"
]
}Work with this as data
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