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Event Stage Participation Evidence

Try for free

Merge supplied participant intervals inside explicit opening, breakout and closing stages. Retain reconnect/parallel-room evidence, coverage limits, missing identities and source ambiguity. JSON or mapped CSV; no certificates or attendance decisions.

Pricing

$0.25 / completed report

Rating

0.0

(0)

Developer

Gilad Ronen

Actor stats

Bookmarked

Total users

Monthly active users

17 days ago

Last modified

Categories

Business

Automation

You can access the Event Stage Participation Evidence programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "eventId": "workshop-001",
12    "rosterRows": [
13        {
14            "rowId": "roster-1",
15            "participantId": "001"
16        },
17        {
18            "rowId": "roster-2",
19            "participantId": "002"
20        },
21        {
22            "rowId": "roster-3",
23            "participantId": "003"
24        }
25    ],
26    "rosterCsv": "",
27    "rosterColumns": {
28        "rowId": "rowId",
29        "participantId": "participantId"
30    },
31    "stageRows": [
32        {
33            "stageId": "opening",
34            "startTime": "2026-10-01T09:00:00Z",
35            "endTime": "2026-10-01T10:00:00Z",
36            "sessionIds": [
37                "teams-opening"
38            ]
39        },
40        {
41            "stageId": "breakout",
42            "startTime": "2026-10-01T10:00:00Z",
43            "endTime": "2026-10-01T12:00:00Z",
44            "sessionIds": [
45                "zoom-A",
46                "zoom-B"
47            ]
48        },
49        {
50            "stageId": "closing",
51            "startTime": "2026-10-01T12:00:00Z",
52            "endTime": "2026-10-01T13:00:00Z",
53            "sessionIds": [
54                "teams-closing"
55            ]
56        }
57    ],
58    "stagesCsv": "",
59    "stageColumns": {
60        "stageId": "stageId",
61        "startTime": "startTime",
62        "endTime": "endTime",
63        "sessionIds": "sessionIds"
64    },
65    "coverageRows": [
66        {
67            "sessionId": "teams-opening",
68            "coverage": "complete"
69        },
70        {
71            "sessionId": "zoom-A",
72            "coverage": "complete"
73        },
74        {
75            "sessionId": "zoom-B",
76            "coverage": "partial"
77        },
78        {
79            "sessionId": "teams-closing",
80            "coverage": "not-provided"
81        }
82    ],
83    "coverageCsv": "",
84    "coverageColumns": {
85        "sessionId": "sessionId",
86        "coverage": "coverage"
87    },
88    "intervalRows": [
89        {
90            "rowId": "o1",
91            "sessionId": "teams-opening",
92            "participantId": "001",
93            "joinTime": "2026-10-01T08:55:00Z",
94            "leaveTime": "2026-10-01T09:30:00Z"
95        },
96        {
97            "rowId": "o2",
98            "sessionId": "teams-opening",
99            "participantId": "001",
100            "joinTime": "2026-10-01T09:20:00Z",
101            "leaveTime": "2026-10-01T09:50:00Z"
102        },
103        {
104            "rowId": "b1",
105            "sessionId": "zoom-A",
106            "participantId": "001",
107            "joinTime": "2026-10-01T10:00:00Z",
108            "leaveTime": "2026-10-01T11:00:00Z"
109        },
110        {
111            "rowId": "b2",
112            "sessionId": "zoom-B",
113            "participantId": "001",
114            "joinTime": "2026-10-01T10:30:00Z",
115            "leaveTime": "2026-10-01T11:30:00Z"
116        },
117        {
118            "rowId": "c1",
119            "sessionId": "teams-closing",
120            "participantId": "001",
121            "joinTime": "2026-10-01T12:55:00Z",
122            "leaveTime": "2026-10-01T13:05:00Z"
123        },
124        {
125            "rowId": "b3",
126            "sessionId": "zoom-A",
127            "participantId": "002",
128            "joinTime": "2026-10-01T10:00:00Z",
129            "leaveTime": "2026-10-01T10:30:00Z"
130        },
131        {
132            "rowId": "b4",
133            "sessionId": "zoom-B",
134            "participantId": "002",
135            "joinTime": "2026-10-01T10:10:00Z",
136            "leaveTime": "2026-10-01T10:40:00Z"
137        },
138        {
139            "rowId": "orphan",
140            "sessionId": "zoom-A",
141            "participantId": "unknown",
142            "joinTime": "2026-10-01T10:00:00Z",
143            "leaveTime": "2026-10-01T10:30:00Z"
144        },
145        {
146            "rowId": "missing",
147            "sessionId": "zoom-A",
148            "participantId": "",
149            "joinTime": "2026-10-01T10:00:00Z",
150            "leaveTime": "2026-10-01T10:30:00Z"
151        },
152        {
153            "rowId": "unknown-session",
154            "sessionId": "other-room",
155            "participantId": "001",
156            "joinTime": "2026-10-01T10:00:00Z",
157            "leaveTime": "2026-10-01T10:30:00Z"
158        },
159        {
160            "rowId": "outside",
161            "sessionId": "teams-opening",
162            "participantId": "001",
163            "joinTime": "2026-10-01T14:00:00Z",
164            "leaveTime": "2026-10-01T14:30:00Z"
165        }
166    ],
167    "intervalsCsv": "",
168    "intervalColumns": {
169        "rowId": "rowId",
170        "sessionId": "sessionId",
171        "participantId": "participantId",
172        "joinTime": "joinTime",
173        "leaveTime": "leaveTime"
174    }
175};
176
177// Run the Actor and wait for it to finish
178const run = await client.actor("h_murdock/event-stage-participation-evidence").call(input);
179
180// Fetch and print Actor results from the run's dataset (if any)
181console.log('Results from dataset');
182console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
183const { items } = await client.dataset(run.defaultDatasetId).listItems();
184items.forEach((item) => {
185    console.dir(item);
186});
187
188// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Event Stage Participation Evidence API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Event Stage Participation Evidence API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Event Stage Participation Evidence API in Python

Event Stage Participation Evidence API through CLI

Event Stage Participation Evidence OpenAPI definition

Event Stage Participation Evidence API

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