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POST
/
api
/
analytics
/
sentiment
/
timeseries
Get sentiment over time
curl --request POST \
  --url https://api.mentionlab.io/api/analytics/sentiment/timeseries \
  --header 'Content-Type: application/json' \
  --header 'x-project-id: <x-project-id>' \
  --data '
{
  "bucketSize": "day",
  "startDate": "2025-01-01",
  "endDate": "2025-02-01",
  "countries": [
    "BE",
    "FR"
  ],
  "languages": [
    "en",
    "fr"
  ],
  "models": [
    "gpt-4o",
    "claude-3-5-sonnet"
  ],
  "queryIds": [
    "3fa85f64-5717-4562-b3fc-2c963f66afa6"
  ],
  "queryTagIds": [
    "3fa85f64-5717-4562-b3fc-2c963f66afa6"
  ],
  "execTagIds": [
    "3fa85f64-5717-4562-b3fc-2c963f66afa6"
  ],
  "queryTagMode": "or",
  "execTagMode": "or",
  "timezone": "Europe/Brussels",
  "entityIds": [
    "550e8400-e29b-41d4-a716-446655440000",
    "550e8400-e29b-41d4-a716-446655440001"
  ]
}
'
[
  {
    "bucket": "2025-01-01T00:00:00.000Z",
    "sentimentScore": 68.5,
    "positive": 42,
    "neutral": 18,
    "negative": 8,
    "mentionCount": 68
  }
]

Headers

​
x-project-id
string
required

Project ID to specify the project context

Body

application/json
​
bucketSize
enum<string>
required

Time bucket granularity

Available options:
day,
week,
month
Example:

"day"

​
startDate
string

Start date (inclusive)

Example:

"2025-01-01"

​
endDate
string

End date (exclusive)

Example:

"2025-02-01"

​
countries
string[]

Filter by country codes

Example:
["BE", "FR"]
​
languages
string[]

Filter by language codes

Example:
["en", "fr"]
​
models
string[]

Filter by AI models

Example:
["gpt-4o", "claude-3-5-sonnet"]
​
queryIds
string[]

Filter by query IDs

Example:
["3fa85f64-5717-4562-b3fc-2c963f66afa6"]
​
hasSources
enum<string>

Filter by source presence: "sources" (only with sources), "no_sources" (only without), "all" (no filter). Legacy true/false values are still accepted.

Available options:
all,
sources,
no_sources
​
hasShopping
enum<string>

Filter by shopping presence: "shopping" (only with shopping), "no_shopping" (only without), "all" (no filter). Legacy true/false values are still accepted.

Available options:
all,
shopping,
no_shopping
​
queryTagIds
string[]

Filter by query tag IDs

Example:
["3fa85f64-5717-4562-b3fc-2c963f66afa6"]
​
execTagIds
string[]

Filter by execution tag IDs

Example:
["3fa85f64-5717-4562-b3fc-2c963f66afa6"]
​
queryTagMode
enum<string>
default:or

Query tag matching mode: "or" matches ANY tag (default), "and" matches ALL tags.

Available options:
and,
or
​
execTagMode
enum<string>
default:or

Execution tag matching mode: "or" matches ANY tag (default), "and" matches ALL tags.

Available options:
and,
or
​
timezone
string
default:UTC

IANA timezone for date bucketing and filtering (e.g. "Europe/Brussels"). Defaults to UTC.

Example:

"Europe/Brussels"

​
entityIds
string[]

Entity IDs to compute sentiment for. Defaults to project brand (primary non-blacklisted).

Example:
[
  "550e8400-e29b-41d4-a716-446655440000",
  "550e8400-e29b-41d4-a716-446655440001"
]

Response

​
bucket
string
required

Start of the time bucket (ISO 8601).

Example:

"2025-01-01T00:00:00.000Z"

​
sentimentScore
number
required

Average sentiment score for this bucket (0–100).

Example:

68.5

​
positive
number
required

Count of positive-sentiment mentions in this bucket.

Example:

42

​
neutral
number
required

Count of neutral-sentiment mentions in this bucket.

Example:

18

​
negative
number
required

Count of negative-sentiment mentions in this bucket.

Example:

8

​
mentionCount
number
required

Total mention count in this bucket.

Example:

68