Lytics Metric API
The Metric API provides access to a variety of metrics that are recorded in the Lytics platform. With this API, you can access segment-size metrics, events received per-hour, as well as many workflow specific metrics.
The Metric API provides access to a variety of metrics that are recorded in the Lytics platform. With this API, you can access segment-size metrics, events received per-hour, as well as many workflow specific metrics.
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openapi: 3.2.0
info:
title: V1 Lytics Metric API
version: 1.0.0
description: 'The Lytics API is a _restful_ *JSON* api that includes:
* *Data Collection* api''s for collection, and upload of custom data.'
servers:
- url: https://api.lytics.io
tags:
- name: Metric
description: 'The Metric API provides access to a variety of metrics that are recorded
in the Lytics platform. With this API, you can access segment-size metrics,
events received per-hour, as well as many workflow specific metrics.'
paths:
/api/metric/:
get:
responses:
'200':
description: OK
headers: {}
content:
application/json:
schema:
$ref: '#/components/schemas/MetricModel'
examples:
response:
value:
data:
- name: sample-request
dimension: segsize
dimension_id: abc123
dimension_type: size
range: 2d
aggregation: max
interval: 2h
is_cached: true
values:
- value: 0
ts: '1525231674371'
- value: 100
ts: '1525238874371'
- value: 200
ts: '1525246074371'
- value: 300
ts: '1525253274371'
- value: 400
ts: '1525260474371'
- value: 500
ts: '1525267674371'
- value: 600
ts: '1525274874371'
- value: 700
ts: '1525282074371'
- value: 800
ts: '1525289274371'
- value: 900
ts: '1525296474371'
message: success
status: 200
security:
- ApiKeyAuth: []
summary: Metric
operationId: Metric
description: 'Fetch metrics by providing the arguments in the query-parameters
```sh
curl "$LIOAPI/api/metric?keyspace=segsize&metric=web&name=my-metric" -s -H "Authorization: $LIOKEY" | jq ''.''
```'
tags:
- Metric
parameters:
- name: account_id
in: query
description: Your Lytics account ID.
required: false
schema:
type: string
- name: name
in: query
description: Name of the metric to return
required: false
example: my-metric
schema:
type: string
- name: dimension
in: query
description: Value of supported dimension (segment, experience, stream, etc)
required: true
example: segment
schema:
type: string
- name: dimension_id
in: query
description: 'ID for the specific item within dimension such as a segment ID. Tip: If the type is a segment you can use all_segments as the dimension id to get all segments for the account.'
required: true
example: abc123
schema:
type: string
- name: dimension_type
in: query
description: Type of metric to be returned (size, converted, etc)
required: true
example: size
schema:
type: string
- name: aggregation
in: query
description: Aggregation to apply to metrics (sum, max, min)
required: false
example: sum
schema:
type: string
- name: interval
in: query
description: Duration to roll-up metrics (2h for roll-up into two-hour buckets). Intervals smaller than two hours are not recommended.
required: false
example: 2h
schema:
type: string
- name: include_empty_rows
in: query
description: Passing true will include zero values in the response for every interval whether metrics were logged during that period or not.
required: false
example: 'false'
schema:
type: boolean
- name: smooth
in: query
description: Smooth metrics using a moving-average function
required: false
example: 'true'
schema:
type: boolean
- name: start_date
in: query
description: Fetch metrics after this date; both dates and relative-dates are supported
required: false
example: now-5w
schema:
type: string
- name: end_date
in: query
description: Fetch metrics before this date; both dates and relative-dates are supported
required: false
example: now-1w
schema:
type: string
- name: range
in: query
description: 'Time string used to calculate range from now (e.g "2h" will return the last 2 hours). This parameter cannot
be used in conjunction with `start_date` and/or `end_date)`
'
required: false
example: 2h
schema:
type: string
/api/metric:
post:
responses:
'200':
description: OK
headers: {}
content:
application/json:
schema:
$ref: '#/components/schemas/MetricModel'
examples:
response:
value:
data:
- name: sample-request
dimension: segsize
dimension_id: abc123
dimension_type: size
range: 2d
aggregation: max
interval: 2h
is_cached: true
values:
- value: 0
ts: '1525231674371'
- value: 100
ts: '1525238874371'
- value: 200
ts: '1525246074371'
- value: 300
ts: '1525253274371'
- value: 400
ts: '1525260474371'
- value: 500
ts: '1525267674371'
- value: 600
ts: '1525274874371'
- value: 700
ts: '1525282074371'
- value: 800
ts: '1525289274371'
- value: 900
ts: '1525296474371'
message: success
status: 200
security:
- ApiKeyAuth: []
summary: Metric
operationId: Metrics
description: 'Fetch metrics by providing the arguments in the request body
```sh
# Example of segment-size metrics
curl -s -XPOST "$LIOAPI/api/metric" \
-H ''Content-type: application/json'' \
-H "Authorization: $LIOKEY" \
-d ''{
"dimension": "segsize",
"dimension_id": "abc123",
"dimension_type": "size",
"interval": "2h",
"aggregation": "max",
"start_date": "now-5d",
"end_date": "now",
"smooth": true
}'' | jq ''.''
# Example request of data collected from the default and email stream
curl -s -XPOST "$LIOAPI/api/metric" \
-H "Content-type: application/json" \
-H "Authorization: $LIOKEY" \
-d ''[{
"dimension": "stream",
"dimension_id": "default",
"dimension_type": "size",
"interval": "1h",
"aggregation": "sum",
"start_date": "now-1w",
"end_date": "now"
},
{
"dimension": "stream",
"dimension_id": "email",
"dimension_type": "size",
"interval": "1h",
"aggregation": "sum",
"start_date": "now-2w",
"end_date": "now"
}]'' | jq ''.''
```'
tags:
- Metric
parameters:
- name: account_id
in: query
description: Your Lytics account ID.
required: false
schema:
type: string
requestBody:
content:
application/json:
schema:
type: object
properties:
dimension:
description: Value of supported dimension (segment, experience, stream, etc)
type: string
dimension_id:
description: 'ID for the specific item within dimension such as a segment ID. Tip: If the type is a segment you can use all_segments as the dimension id to get all segments for the account.'
type: string
dimension_type:
description: Type of metric to be returned (size, converted, etc)
type: string
interval:
description: Duration to roll-up metrics (2h for roll-up into two-hour buckets). Intervals smaller than two hours are not recommended.
type: string
aggregation:
description: Aggregation to apply to metrics (sum, max, min)
type: string
smooth:
description: Smooth metrics using a moving-average function
type: boolean
include_empty_rows:
description: Passing true will include zero values in the response for every interval whether metrics were logged during that period or not.
type: boolean
start_date:
description: Fetch metrics after this date; both dates and relative-dates are supported
type: string
end_date:
description: Fetch metrics before this date; both dates and relative-dates are supported
type: string
example:
dimension: segsize
dimension_id: default
dimension_type: size
interval: 2h
aggregation: max
startdate: now-5d
enddate: now
components:
schemas:
MetricModel:
type: object
properties:
data:
type: array
items:
type: object
properties:
name:
type: string
dimension:
type: string
dimension_id:
type: string
dimension_type:
type: string
range:
type: string
aggregation:
type: string
interval:
type: string
is_cached:
type: boolean
values:
type: array
items:
type: object
properties:
value:
type: number
ts:
type: string
required:
- value
- ts
message:
type: string
status:
type: number
example:
data:
- name: sample-request
dimension: segsize
dimension_id: abc123
dimension_type: size
range: 2d
aggregation: max
interval: 2h
is_cached: true
values:
- value: 0
ts: '1525231674371'
- value: 100
ts: '1525238874371'
- value: 200
ts: '1525246074371'
- value: 300
ts: '1525253274371'
- value: 400
ts: '1525260474371'
- value: 500
ts: '1525267674371'
- value: 600
ts: '1525274874371'
- value: 700
ts: '1525282074371'
- value: 800
ts: '1525289274371'
- value: 900
ts: '1525296474371'
message: success
status: 200
securitySchemes:
ApiKeyAuth:
in: header
name: Authorization
type: apiKey
x-readme:
explorer-enabled: true
proxy-enabled: true