Every API here is available over the APIs.io API and to AI agents over MCP.
openapi: 3.2.0
info:
title: BlueConic REST API v2 Recommendations API
description: Welcome to the BlueConic REST API v2.
termsOfService: https://www.blueconic.com/blueconic-terms-and-conditions
contact:
name: Contact us
url: https://support.blueconic.com/hc/en-us/requests/new
license:
name: BlueConic
url: https://github.com/blueconic/openapi/blob/main/LICENSE.MD
version: '100.0'
servers:
- url: https://{blueconicHostname}/rest/v2
description: The BlueConic server
variables:
blueconicHostname:
description: BlueConic server hostname, e.g. 'tenant.blueconic.net'
default: tenantname
tags:
- name: Recommendations
description: Generate individualized content and product recommendations for a given profile. Read more. To work with recommendations, you have to set up a content collector or a product collector.
paths:
/recommendations:
post:
tags:
- Recommendations
summary: Generate recommendations
description: Generate BlueConic recommendations for a specific profile based on the provided parameters.
operationId: getRecommendationsPostJsonpAsync
parameters:
- name: profileId
in: query
description: The ID of the BlueConic profile. Note that the profile ID is required when you use a [recommendation algorithm](https://support.blueconic.com/hc/en-us/articles/360022093313-BlueConic-recommendation-algorithms) that depends on the profile, such as 'Collaborative filtering' or 'Seen articles / Seen products'.
schema:
type: string
example: 640d01c7-1c30-4085-adf9-afad6560ec99
- name: storeId
in: query
description: The ID of the content store to get the items from.
required: true
schema:
type: string
example: 0693330e-679a-48db-b94f-a8921b76149e
- name: itemId
in: query
description: ID of the current item being shown. Some algorithms are based on this information. It also excludes this item from being returned in the result.
schema:
type: string
- name: frequencyCap
in: query
description: The number of times an item can be recommended to a profile before being hidden from future recommendations.
schema:
type: integer
format: int32
example: 5
- name: imageWidth
in: query
description: Width of the images to return.
schema:
type: integer
format: int32
example: 100
- name: imageHeight
in: query
description: Height of the images to return.
schema:
type: integer
format: int32
example: 100
- name: manualViewCounting
in: query
description: Prevent updating recommendation statistics for the recommended items. Can be used to generate offline recommendation items without influencing the profile.
schema:
type: boolean
default: false
example: true
requestBody:
description: "The body of a recommendations request consists of a JSON array that holds one or more sets of recommendation definition objects. Each recommendation definition object contains a combination of algorithms and filters and a number of items that should be returned. This allows you to return items based on different mixes of algorithms. You can also define a default to fall back to when not enough matching recommendations can be found.\n\nThe following [boosting algorithms](https://support.blueconic.com/hc/en-us/articles/360022093313-BlueConic-recommendation-algorithms#breaking-news-top-products-based-on-the-recent-view-field--0-0) are supported:\n\n|Name|Description|Example|\n|:----|:----|:----|\n|Breaking news|Items most viewed by all visitors in the time frame defined in the collector.|`\"boosts\": [{\"value\": 1, \"algorithm\": \"RECENT_VIEW\"}]`\n|Top carted items|Items most added to shopping carts by all visitors in the time frame defined in the collector.|`\"boosts\": [{\"value\": 1, \"algorithm\": \"RECENT_SHOPPINGCART\"}]`\n|Top ordered items|Items most ordered by all visitors in the time frame defined in the collector.|`\"boosts\": [{\"value\": 1, \"algorithm\": \"RECENT_ORDER\"}]`\n|Viral news|Items most used as a landing page by all visitors in the time frame defined in the collector.|`\"boosts\": [{\"value\": 1, \"algorithm\": \"RECENT_ENTRYPAGE\"}]`\n|Recency|Items most recently added items based on the publication date property.|`\"boosts\": [{\"value\": 1, \"algorithm\": \"RECENCY\"}]`\n|Recent high CTRs|Items most clicked-through from BlueConic recommendations by all visitors in the time frame defined in the collector.|`\"boosts\": [{\"value\": 1, \"algorithm\": \"RECENT_CTR\"}]`\n|Recently bought items|Items recently bought by the provided profileId.|`\"boosts\": [{\"value\": 1, \"algorithm\": \"RECENTLY_BOUGHT\"}]`\n|Recently carted items|Items recently put in the shopping cart by the provided profileId.|`\"boosts\": [{\"value\": 1, \"algorithm\": \"RECENTLY_SHOPPINGCART\"}]`\n|Same category|Items of the same category as the item with the provided itemId.|`\"boosts\": [{\"value\": 1, \"algorithm\": \"SAME_CATEGORY\" }]`\n|Look-alike-articles|Items that have similar content to the item with the provided itemId.|`\"boosts\": [{\"value\": 1, \"algorithm\": \" LOOK_ALIKE\" }]`\n|Seen articles|Items the provided profileId recently viewed.|`\"boosts\": [{\"value\": 1, \"algorithm\": \" RECENTLY_VIEWED\" }]`\n|Same interest|Items that look similar to the items already viewed by the provided profileId.|`\"boosts\": [{\"value\": 1, \"algorithm\": \"INTEREST\", \"rampUp\": \"FAST\"}]`\n|Collaborative filtering|Items popular with other profiles who viewed the same items as the provided profileId.|`\"boosts\": [{\"value\": 1, \"algorithm\": \"COLLABORATIVE_FILTERING\", \"rampUp\": \"FAST\"}]`|\n\nRecommendation definition objects may contain filters that restrict the items that will be returned. \n\nFormat: \n`\"filters\": [\"<property ID>\":<absolute literal value>,<absolute literal value2>\"]` \nto only include items that have a specific value for a specific profile property.\n\nUse the `!` before the property to **exclude** items. Format: \n`\"filters\": [\"!<property ID>\":<absolute literal value>,<absolute literal value2>\"]` \n\nYou can also use the comparison operators `<`, `>`, `<=`, `>=` for data type number, date time, currency, and decimal properties. \nFor example `\"filters\": [\"<property ID>\">=<absolute literal value>,<absolute literal value2>\"]`\n\nWhen combining multiple filters, these have an implicit AND relation. \nTo combine filters, follow the format `\"filters\": [\"<property ID>\":<absolute literal value>,<absolute literal value2>\", \"<property ID2>\":<absolute literal value3>,<absolute literal value4>\"].`\n\nProfile property value filtering can be done by explicitly passing an absolute literal value. You can’t reference another profile property in the filter or use relative dates (for example, 14 days ago).\n\nSee examples below.\n\n| Example | Description |\n|:---------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `\"filters\": [\"VIEWED\"]` | Exclude the items already viewed by the provided profileId. |\n| `\"filters\": [\"SHOPPINGCART\"]` | Exclude the items in the shopping cart of the provided profileId. |\n| `\"filters\": [\"BOUGHT\"]` | Exclude the items already bought by the provided profileId. |\n| `\"filters\": [\"VIEWED_ONLY\"]` | Include only items that were viewed by the provided profileId. |\n| `\"filters\": [\"SHOPPINGCART_ONLY\"]` | Include only items that were in the shopping cart of the provided profileId. |\n| `\"filters\": [\"BOUGHT_ONLY\"]` | Include only items that were bought by the provided profileId. |\n| `\"filters\": [\"SAME_CATEGORY\"]` | Include only items that have the same category as the provided itemId. |\n| `\"filters\": [\"IN_STOCK\"]` | Include only items that are in stock. |\n| `\"filters\": [\"publicationDate>2023-06-01T00:00+02:00\"]` | Include only items with a publication date after June 1<sup>st</sup> 2023. The format of publicationDate is `2023-01-01T00:00Z` or with a time zone offset `2023-01-01T00:00+05:00` |\n| `\"filters\": [\"publicationDate<=2023-06-01T00:00+02:00\"]` | Include only items with a publication date before June 1<sup>st</sup> 2023. The format of publicationDate is `2023-01-01T00:00Z` or with a time zone offset `2023-01-01T00:00+05:00` |\n| `\"filters\": [\"category:politics\"]` | Include only items that have a specific value for a specific property, e.g. “politics” for property “category”. |\n| `\"filters\": [\"!category:politics\"]` | Exclude items that do not have a specific value, e.g. “politics” for property “category”. |\n| `\"filters\": [\"category:politics\",\"category:sports\"]` | Include only items that have all specific values, e.g. “politics” and “sports” for property “category”. |\n| `\"filters\": [\"category:politics,sports\"]` | Include only items that have any of the specified values, e.g. “politics” or “sports” for property “category”. |\n| `\"filters\": [\"!category:politics\",\"!category:sports\"]` | Include only items that do not have any of the specified values, e.g. “politics” or “sports” for property “category”. |\n| `\"filters\": [\"!category:politics,sports\"]` | Include only items that do not have all of the specified values, e.g. “politics” and “sports” for property “category”. |\n| `\"filters\": [\"hasproperty:image\"]` | Include only items that have an image. |\n"
content:
application/json:
schema:
type: array
items:
$ref: '#/components/schemas/RecommendationRequest'
examples:
Example body:
description: Example body
value: "[{\n \"id\": \"first\",\n \"boosts\": [{\n \"value\": \"1\",\n \"algorithm\": \"RECENCY\"\n },\n {\n \"value\": \"2\",\n \"algorithm\": \"COLLABORATIVE_FILTERING\",\n \"rampUp\": \"FAST\"\n },\n {\n \"value\": \"1\",\n \"algorithm\": \"RECENT_VIEW\"\n },\n {\n \"value\": \"1\",\n \"algorithm\": \"RECENT_CTR\"\n }\n ],\n \"filters\": [\n \"category:politics\",\n \"viewed\"\n ],\n \"count\": 3\n },\n {\n \"id\": \"second\",\n \"boosts\": [{\n \"value\": \"2\",\n \"algorithm\": \" COLLABORATIVE_FILTERING \",\n \"rampup\": \"SLOW\"\n },\n {\n \"value\": \"1\",\n \"algorithm\": \" RECENT_CTR\"\n }\n ],\n \"filters\": [\n \"category:politics\",\n \"!category:economie\",\n \"VIEWED\"\n ],\n \"count\": 3\n },\n {\n \"id\": \"default\",\n \"filters\": [\n \"publicationDate>2023-04-17T14:30+02:00\",\n \"!category:economie\",\n \"VIEWED\"\n ],\n \"boosts\": [{\n \"value\": \"1\",\n \"algorithm\": \"RECENT_CTR\"\n }]\n }\n]"
required: true
responses:
'200':
description: The generated recommendations, based on the given request parameters.
content:
application/json:
schema:
$ref: '#/components/schemas/RecommendationResponse'
examples:
Example recommendation response:
description: Example recommendation response
value: "{\n \"recommendationBlock\": [{\n \"id\": \"first\",\n \"recommendations\": [{\n \"score\": 0.12063565363854145,\n \"trackingUrl\": \"http://taylor-news.com/1\",\n \"id\": \"www.taylor-news.com/news/1111\",\n \"url\": \"https://www.taylor-news.com/news/1111\",\n \"name\": \"Name 1\",\n \"description\": \"Description 1.\",\n \"category\": [\"sport\", \"baseball\"],\n \"image\": \"https://img.taylor-news.com/img1.jpg\",\n \"customProperties\": {\n \"pubdate\": [\"tuesday 12 june 2023, 09:45\"],\n \"story\": []\n }\n },\n {\n \"score\": 0.001113261296046081,\n \"trackingUrl\": \"http://taylor-news.com/2\",\n \"id\": \"www.taylor-news.com/news/2222\",\n \"url\": \"https://www.taylor-news.com/news/2222\",\n \"name\": \"Name 2\",\n \"description\": \"Description 2.\",\n \"category\": [\"news\", \"politics\"],\n \"image\": \"https://img.taylor-news.com/img2.jpg\",\n \"customProperties\": {\n \"pubdate\": [\"wednesday 13 june 2023, 09:45\"],\n \"story\": []\n }\n }\n ]\n },\n {\n \"id\": \"second\",\n \"recommendations\": [{\n \"score\": 1.0,\n \"trackingUrl\": \"http://taylor-news.com/3\",\n \"id\": \"www.taylor-news.com/news/3333\",\n \"url\": \"https://www.taylor-news.com/news/2317578\",\n \"name\": \"Name 3\",\n \"description\": \"Description 3.\",\n \"category\": [\"sport\", \"basketball\"],\n \"image\": \"https://img.taylor-news.com/img3.jpg\",\n \"customProperties\": {\n \"pubdate\": [\"tuesday 12 june 2023, 09:45\"],\n \"story\": []\n }\n },\n {\n \"score\": 1.0,\n \"trackingUrl\": \"http://taylor-news.com/4\",\n \"id\": \"www.taylor-news.com/news/4444\",\n \"url\": \"https://www.taylor-news.com/news/2317578\",\n \"name\": \"Name 4\",\n \"description\": \"Description 4.\",\n \"category\": [],\n \"image\": \"https://img.taylor-news.com/img4.jpg\",\n \"customProperties\": {\n \"pubdate\": [\"tuesday 12 june 2023, 09:45\"],\n \"story\": []\n }\n }\n ]\n }\n ],\n \"recommendationId\": \"97258279-baf7-45de-aab3-457dc42904be\",\n \"trackingPixel\": \"http://track.com\"\n}"
'400':
description: One or more required parameters are missing or invalid.
'503':
description: The server is too busy to handle the request.
components:
schemas:
RecommendationSubResponse:
type: object
description: The recommendation blocks as defined in the request body.
properties:
id:
type: string
description: The ID for this recommendation block, as defined in the request body.
recommendations:
type: array
description: The recommendations of this block.
items:
$ref: '#/components/schemas/RecommendationItem'
Boost:
type: object
description: The algorithms that will be executed to determine the recommendations with their boost value and parameters.
example:
- value: '1.5'
algorithm: RECENCY
properties:
algorithm:
type: string
description: Available boosting algorithms
enum:
- COLLABORATIVE_FILTERING
- INTEREST
- LOOK_ALIKE
- RECENCY
- RECENT_CTR
- RECENT_ENTRYPAGE
- RECENT_ORDER
- RECENT_SHOPPINGCART
- RECENT_VIEW
- RECENTLY_BOUGHT
- RECENTLY_SHOPPINGCART
- RECENTLY_VIEWED
- SAME_CATEGORY
rampUp:
type: string
description: Ramp up value for algorithms that use it
enum:
- INSTANT
- VERY_SLOW
- SLOW
- NORMAL
- FAST
value:
type: number
format: double
description: 'Boost value can be a whole or half number: 1, 1.5, 2, 2.5, …, 9.5, 10.'
required:
- algorithm
- value
RecommendationRequest:
type: object
properties:
boosts:
type: array
description: The algorithms that will be executed to determine the recommendations with their boost value and parameters.
example:
- value: '1.5'
algorithm: RECENCY
items:
$ref: '#/components/schemas/Boost'
count:
type: integer
format: int32
description: The maximum number of items that should be returned for this definition.
example: 5
filters:
type: array
description: Item filters, see description.
example:
- category:news
- viewed
items:
type: string
description: Item filters, see description.
example: '["category:news","viewed"]'
id:
type: string
description: 'The order of execution of the definition objects: ''first'' will be executed first, ''second'' will be executed next. If the total count has not been reached, the remainder items will be from the ''default'' definition.'
example: first
required:
- boosts
- id
RecommendationItem:
type: object
description: The recommendations of this block.
properties:
category:
type: array
items:
type: string
customProperties:
type: object
additionalProperties:
type: array
description: The properties of this item.
items:
type: string
description: The properties of this item.
description: The properties of this item.
description:
type: string
id:
type: string
description: The ID of this item.
image:
type: string
description: The image of this item.
name:
type: string
publicationDate:
type: string
description: The publication date of this item.
score:
type: number
format: double
description: The recommendation score.
trackingUrl:
type: string
description: The recommendation tracking url.
url:
type: string
description: The url of this item.
RecommendationResponse:
type: object
properties:
recommendationBlock:
type: array
description: The recommendation blocks as defined in the request body.
items:
$ref: '#/components/schemas/RecommendationSubResponse'
recommendationId:
type: string
description: The unique ID for this recommendation request.
trackingPixel:
type: string
description: The tracking pixel to track this recommendation request.
securitySchemes:
oauth2:
type: oauth2
description: 'Authenticates a registered OAuth 2.0 client. The Authorization code flow and Client credentials flow are supported. Make sure to select the correct flow based on which flow the registered client supports. The client id and client secret can be found in BlueConic by opening the registered client under *Settings* > *Access management* > *Applications*.<br/>**NOTE:** When using the Authorization code flow, the redirect URL of the registered client in BlueConic must be set to `https://rest.apidoc.blueconic.com/oauth-receiver.html` and ''Send Proof Key for Code Exchange'' must be enabled.<br/><br/>To use a Bearer token for authentication, follow these steps: <br/>1. Acquire the token through authentication.<br/>2. Include the token in the request''s Authorization header as Bearer \<token\>.<br/>3. Send the request to access protected resources.<br/>4. Handle token expiration by refreshing or obtaining a new token.'
flows:
clientCredentials:
tokenUrl: /rest/v2/oauth/token
authorizationCode:
authorizationUrl: /rest/v2/oauth/authorize
tokenUrl: /rest/v2/oauth/token
refreshUrl: /rest/v2/oauth/token