> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.reka.ai/vision/api-reference/video-insights/segment-video/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.reka.ai/_mcp/server. # Segment Video POST https://vision-agent.api.reka.ai/v2/videos/{video_id}/segment Content-Type: application/json Reference: https://docs.reka.ai/vision/api-reference/video-insights/segment-video ## Authentication - `X-Api-Key` header (required) — API key authentication via X-Api-Key header - `Authorization` header (bearer token, required) — Bearer token authentication via Authorization header ## Request ### Path parameters - `video_id` (string, required) ### Headers - `X-Enable-Overwrite-Metering` (string, optional, nullable) ### Body (application/json) This endpoint expects a SegmentRequest. - `prompts` (list of SegmentPrompt, required) — Objects to detect. Each prompt is run against every sampled frame. - `start` (double, optional, default: 0) — Start of time range in seconds. - `end` (double, optional, nullable) — End of time range in seconds. Defaults to start + 15s, clamped to video duration. Max range is 15 seconds. - `threshold` (double, optional, default: 0.3) — Confidence threshold. Detections below this score are excluded. ## Response ### 200 Successful Response - `frames` (list of SegmentFrame, required) - `frame_size` (FrameSize, required, nullable) - `frame_count` (integer, required) ## Types ### SegmentPrompt - `type` ("text", required) — Prompt type. Currently only 'text' is supported. - `text` (string, required) — What to detect (e.g., 'person', 'laptop', 'red car'). ### SegmentFrame - `timestamp` (double, required) - `detections` (list of SegmentDetection, required) ### FrameSize - `width` (integer, required) - `height` (integer, required) ### SegmentDetection - `label` (string, required) - `prompt_index` (integer, required) - `score` (double, required) - `bbox` (SegmentBoundingBox, required) ### SegmentBoundingBox - `x_min` (double, required) - `y_min` (double, required) - `x_max` (double, required) - `y_max` (double, required) ## Examples **Request** ```json { "prompts": [ { "type": "string", "text": "string" } ] } ``` **Response** ```json { "frames": [ { "timestamp": 1.1, "detections": [ { "label": "string", "prompt_index": 1, "score": 1.1, "bbox": { "x_min": 1.1, "y_min": 1.1, "x_max": 1.1, "y_max": 1.1 } } ] } ], "frame_size": { "width": 1, "height": 1 }, "frame_count": 1 } ``` **SDK Code** ```python import requests url = "https://vision-agent.api.reka.ai/v2/videos/video_id/segment" payload = { "prompts": [ { "type": "string", "text": "string" } ] } headers = { "X-Api-Key": "", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) print(response.json()) ``` ```javascript const url = 'https://vision-agent.api.reka.ai/v2/videos/video_id/segment'; const options = { method: 'POST', headers: {'X-Api-Key': '', 'Content-Type': 'application/json'}, body: '{"prompts":[{"type":"string","text":"string"}]}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); } ``` ```go package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "https://vision-agent.api.reka.ai/v2/videos/video_id/segment" payload := strings.NewReader("{\n \"prompts\": [\n {\n \"type\": \"string\",\n \"text\": \"string\"\n }\n ]\n}") req, _ := http.NewRequest("POST", url, payload) req.Header.Add("X-Api-Key", "") req.Header.Add("Content-Type", "application/json") res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby require 'uri' require 'net/http' url = URI("https://vision-agent.api.reka.ai/v2/videos/video_id/segment") http = Net::HTTP.new(url.host, url.port) http.use_ssl = true request = Net::HTTP::Post.new(url) request["X-Api-Key"] = '' request["Content-Type"] = 'application/json' request.body = "{\n \"prompts\": [\n {\n \"type\": \"string\",\n \"text\": \"string\"\n }\n ]\n}" response = http.request(request) puts response.read_body ``` ```java import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.post("https://vision-agent.api.reka.ai/v2/videos/video_id/segment") .header("X-Api-Key", "") .header("Content-Type", "application/json") .body("{\n \"prompts\": [\n {\n \"type\": \"string\",\n \"text\": \"string\"\n }\n ]\n}") .asString(); ``` ```php request('POST', 'https://vision-agent.api.reka.ai/v2/videos/video_id/segment', [ 'body' => '{ "prompts": [ { "type": "string", "text": "string" } ] }', 'headers' => [ 'Content-Type' => 'application/json', 'X-Api-Key' => '', ], ]); echo $response->getBody(); ``` ```csharp using RestSharp; var client = new RestClient("https://vision-agent.api.reka.ai/v2/videos/video_id/segment"); var request = new RestRequest(Method.POST); request.AddHeader("X-Api-Key", ""); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"prompts\": [\n {\n \"type\": \"string\",\n \"text\": \"string\"\n }\n ]\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift import Foundation let headers = [ "X-Api-Key": "", "Content-Type": "application/json" ] let parameters = ["prompts": [ [ "type": "string", "text": "string" ] ]] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "https://vision-agent.api.reka.ai/v2/videos/video_id/segment")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ``` > One OpenAI-compatible API for Reka models and a curated selection of open models.