AI agent? Read this page as Markdown at /lms/content/List_all_contents.md — append .md to any docs URL, or start from /llms.txt.
List all contents
GET/lms/{connection_id}/content
Parameters
limitnumber default=100
offsetnumber default=0
updated_gtedate
Return only results whose updated date is equal or greater to this value (ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)
sort enum
order enum
querystring
Query string to search. eg. email address or name
course_idstring
The course ID to filter by (reference to Course)
collection_idstring
The collection ID to filter by (reference to CommerceCollection)
fieldsstring array
Fields to return
rawstring
Raw parameters to include in the 3rd-party request. Encoded as a URL component. eg. raw parameters: foo=bar&zoo=bar -> raw=foo%3Dbar%26zoo%3Dbar
connection_idstring required
ID of the connection
Returns
LmsContentarray
idstring
created_atdate
(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)
updated_atdate
(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)
external_referencestring
course_idsstring array
namestring
descriptionstring
languagesstring array
is_activeboolean
duration_minutesnumber
categoriesstring array
subjects array
Topic taxonomy as {name, rank} pairs carrying the full ancestor chain (rank = depth, 0 = top level)
skillsstring array
tagsstring array
difficultystring
Difficulty or level of the content (e.g. Beginner, Intermediate, Advanced)
sort_ordernumber
provider_namestring
short_descriptionstring
instructor_idsstring array
@deprecated; use instructors
collection_idsstring array
(reference to CommerceCollection)
published_atdate
(ISO-8601 / YYYY-MM-DDTHH:MM:SSZ format)
const options = {
method: 'GET',
url: 'https://api.unified.to/lms/5de520f96e439b002043d8dc/content',
headers: {
authorization: 'bearer .....'
},
params: {
limit: 50,
offset: 0,
updated_gte: '2026-08-18T21:14:01.786Z',
sort: 'updated_at',
order: 'asc',
query: '',
course_id: '',
collection_id: '',
fields: '',
raw: '',
}
};
const results = await axios.request(options); Are we missing anything? Let us know