Temso
API referenceResponses

List AI Responses

Returns one row per AI response collected for the project's prompts in the date range, including prompt metadata and a response preview. Pass filter[runId] to isolate the responses of one monitor run. Use Get Response Content to fetch the full model output for a response.

GET
/projects/{projectId}/prompts/responses

Returns one row per AI response collected for the project's prompts in the date range, including prompt metadata and a response preview. Pass filter[runId] to isolate the responses of one monitor run. Use Get Response Content to fetch the full model output for a response.

Path Parameters

projectId*string

Project ID (see List Projects)

Query Parameters

filter*
page?integer

Page number (1-indexed, default: 1)

Range1 <= value
Default1
limit?integer

Items per page (default: 50, max: 1000)

Range1 <= value <= 1000
Default50

Response Body

application/json

curl -X GET "https://example.com/projects/string/prompts/responses?filter%5BstartDate%5D=2026-01-01&filter%5BendDate%5D=2026-03-19&filter%5Blanguages%5D=en%2Cde&filter%5Bcountries%5D=US%2CDE&filter%5Bmodels%5D=microsoft%2Fcopilot-search%2Cgoogle%2Fai-overview%2Cgoogle%2Fai-mode%2Cperplexity%2Fsearch%2Cgemini%2Fsearch%2Copenai%2Fchatgpt&filter%5BpromptTypes%5D=informational%2Cnavigational&filter%5BisBranded%5D=true&filter%5BpersonaIds%5D=string&filter%5BofferingIds%5D=string&filter%5BpromptTagIds%5D=string&filter%5BbrandIds%5D=string&filter%5BrunId%5D=665f1c2e9b1d4a3f8c0e7a11"
{  "data": [    {      "responseId": "string",      "runId": "string",      "promptText": "string",      "preview": "string",      "model": "openai/chatgpt",      "country": "US",      "language": "en",      "presence": 0,      "totalSources": 0,      "createdAt": "string",      "promptType": "string",      "isBranded": true,      "keywords": [        "string"      ]    }  ],  "pagination": {    "page": 0,    "limit": 0,    "total": 0  }}

List Monitors GET

Returns the project's monitors with their settings and tracked models. A monitor defines the collection frequency and the set of AI models prompts are run against.

Get Response Content GET

Returns the full AI response content for one response, including the model's markdown output and URL citation annotations. Use List AI Responses first to find response IDs.