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Data Access

You can access meta data as well as results about your chat engagements over the GraphQL API at

An example GraphQL query to list all engagements of a brand:

  engagements($brandName: String!) {
    getEngagementsByBrand(brandName: $brandName) {

with the variable brandName specified in an JSON object:

  brandName: "mycorp"

Consult the documentation of your GraphQL client library on the details of submitting GraphQL queries.


Juji API data access operations require authentication. The authentication is based on JSON Web Token (JWT).

Once you have created an account at, to authenticate to the API, supply your email and password to the authenticate GraphQL mutation and request the token field in the response, e.g.

  authenticate($input: AuthenticateInput!) {
    authenticate(input: $input) {
where the variable input should be a JSON object with email and password fields.

If successful, a JSON object is returned with a token, e.g.

  data: {
    authenticate: {
      token: "a very long random looking string"

For all subsequent API calls, add the returned token in the Authorization header of the request with the string Bearer prefixed to the token. For example, if the returned token was abc then the Authorization header would be Bearer abc.

Note that all API calls must be made over HTTPS and that as of now, the returned token is valid for up to 10 hours.

Output Format

Our API can return data in JSON, EDN as well as Transit format.

You can specify how you want to receive API responses by including the Accept header set to any one of:

  • application/json (default)
  • application/edn
  • application/transit+json

The advantages of EDN and Transit are richer data types. With Transit you also get a more efficient over the wire format.


GraphQL always returns a 200 HTTP response status code, so we have to rely on the errors field of the response to check for errors.

Per the GraphQL specification, errors is an array of maps (dictionaries). Each error map will have the following keys message, category, kind and data. data is any valid JSON or EDN value and the other fields are all strings. There are five (5) broad categories of errors authentication, authorization, validation, application and unexpected. Within each category, kind explicitly identifies the actual error.

For example, an authentication errors look like:

  "category": "authentication",
  "kind":     "auth.error/not-authenticated",
  "message":  "The operation requires you to be authenticated.",
  "data":     {}


Some computational intensive API requests are handled with Websockt, so the results can stream in when they become available. Since WebSocket requests cannot set custom headers, the JWT token should be sent as a query parameter auth-token.

Upload Data for Analysis

It is possible to access Juji's analytics capabilities without using the chat platform. However, the same authentication requirement for data access described above is necessary.

Currently, we offer individual traits analysis, where our models infer an individual's personality and other individual traits using text that he or she has written.

The data analysis endpoint is

The input file is expected to be POST as a file field in multipart/form-data.

The input file can be either a JSON or CSV file with corresponding file suffix.

If the input is CSV, we expect the first column contains the identifier, and the second column contains a concatenation of an individual's written text as a single string. The CSV file should not have header.

If the input is JSON, we expect an array of objects, where each object has two fields: id and text. text will be a concatenation of an individual's written text into a single string, and id be any string that is unique among the input rows/objects.

The output is streamed back in CSV format, where the first row is the header with the names of the traits. The values of the traits are percentage.

Juji does not retain the uploaded files, as they are immediately discarded after the output is returned.