# S.A.L.T. (Same As Last Time) (`apt_frame/salt`) Actor S.A.L.T. (Same As Last Time) detects hackathon cheating by analyzing project reuse, GitHub history, and team past submissions on Devfolio and Devpost. - **URL**: https://apify.com/apt\_frame/salt.md - **Developed by:** [Ashwin Kumar Uppala](https://apify.com/apt_frame) (community) - **Categories:** AI, Automation, Agents - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## S.A.L.T. (Same As Last Time) 🧂 **Hackathon Cheating Detection Actor** S.A.L.T. detects potential cheating in hackathon submissions by analyzing: - 📊 **GitHub commit history** - Checks if commits were made before, during, or after the hackathon - 👥 **Team member history** - Searches for past submissions by team members - 🎥 **Video timestamps** - Verifies YouTube/Loom upload dates - 🔍 **Project reuse patterns** - Identifies recycled projects ### Features - Supports **Devfolio** and **Devpost** hackathon platforms - Analyzes single projects or entire hackathons - Generates suspicion scores (0-100) - Produces detailed HTML reports and structured data ### Verdicts - ✅ **LIKELY CLEAN** - No suspicious activity detected - 🔍 **NEEDS REVIEW** - Some flags detected, manual review recommended - ⚠️ **SUSPICIOUS** - Multiple red flags found - 🚨 **HIGH RISK** - Strong indicators of rule violations ### Usage 1. Select analysis mode (single project or hackathon scan) 2. Provide the project/hackathon URL 3. Enter hackathon start and end dates 4. (Optional) Add GitHub token for higher API limits 5. Run the Actor! ### Output - **Flagged Projects** - Table of suspicious submissions sorted by score - **Summary** - Quick overview of all analyzed projects - **Full Report** - Complete analysis with team and video details - **HTML Report** - Visual report for easy sharing # Actor input Schema ## `mode` (type: `string`): Choose whether to analyze a single project or scan an entire hackathon. ## `projectUrl` (type: `string`): URL of a single project submission (Devfolio or Devpost). ## `hackathonUrl` (type: `string`): URL of the hackathon page to scan all projects. ## `hackathonStartDate` (type: `string`): The official start date of the hackathon (YYYY-MM-DD). ## `hackathonEndDate` (type: `string`): The official end date of the hackathon (YYYY-MM-DD). ## `githubToken` (type: `string`): Personal access token for GitHub API. ## `openaiApiKey` (type: `string`): API Key for OpenAI. ## `maxProjectsToScan` (type: `integer`): Maximum number of projects to analyze. ## `deepAnalysis` (type: `boolean`): Performs thorough analysis. ## `checkGitHubCommits` (type: `boolean`): Analyze GitHub commit timestamps. ## `checkTeamHistory` (type: `boolean`): Search for team members past submissions. ## `checkVideoTimestamps` (type: `boolean`): Verify video upload dates. ## `suspicionThreshold` (type: `integer`): Minimum suspicion score (0-100) to flag a project. ## `maxRequestsPerCrawl` (type: `integer`): Maximum HTTP requests the crawler can make. ## `maxRuntimeSecs` (type: `integer`): Maximum execution time in seconds. ## Actor input object example ```json { "mode": "single_project", "maxProjectsToScan": 50, "deepAnalysis": true, "checkGitHubCommits": true, "checkTeamHistory": true, "checkVideoTimestamps": true, "suspicionThreshold": 30, "maxRequestsPerCrawl": 500, "maxRuntimeSecs": 300 } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("apt_frame/salt").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("apt_frame/salt").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call apt_frame/salt --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apt_frame/salt", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "S.A.L.T. (Same As Last Time)", "description": "S.A.L.T. (Same As Last Time) detects hackathon cheating by analyzing project reuse, GitHub history, and team past submissions on Devfolio and Devpost.", "version": "0.0", "x-build-id": "sdVcd1Jt1wxpiCheF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apt_frame~salt/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apt_frame-salt", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apt_frame~salt/runs": { "post": { "operationId": "runs-sync-apt_frame-salt", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apt_frame~salt/run-sync": { "post": { "operationId": "run-sync-apt_frame-salt", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Analysis Mode", "enum": [ "single_project", "hackathon_scan" ], "type": "string", "description": "Choose whether to analyze a single project or scan an entire hackathon.", "default": "single_project" }, "projectUrl": { "title": "Project URL", "type": "string", "description": "URL of a single project submission (Devfolio or Devpost)." }, "hackathonUrl": { "title": "Hackathon URL", "type": "string", "description": "URL of the hackathon page to scan all projects." }, "hackathonStartDate": { "title": "Hackathon Start Date", "type": "string", "description": "The official start date of the hackathon (YYYY-MM-DD)." }, "hackathonEndDate": { "title": "Hackathon End Date", "type": "string", "description": "The official end date of the hackathon (YYYY-MM-DD)." }, "githubToken": { "title": "GitHub Token (Optional)", "type": "string", "description": "Personal access token for GitHub API." }, "openaiApiKey": { "title": "OpenAI API Key (Optional)", "type": "string", "description": "API Key for OpenAI." }, "maxProjectsToScan": { "title": "Max Projects to Scan", "minimum": 0, "type": "integer", "description": "Maximum number of projects to analyze.", "default": 50 }, "deepAnalysis": { "title": "Enable Deep Analysis", "type": "boolean", "description": "Performs thorough analysis.", "default": true }, "checkGitHubCommits": { "title": "Check GitHub Commits", "type": "boolean", "description": "Analyze GitHub commit timestamps.", "default": true }, "checkTeamHistory": { "title": "Check Team History", "type": "boolean", "description": "Search for team members past submissions.", "default": true }, "checkVideoTimestamps": { "title": "Check Video Timestamps", "type": "boolean", "description": "Verify video upload dates.", "default": true }, "suspicionThreshold": { "title": "Suspicion Score Threshold", "minimum": 0, "maximum": 100, "type": "integer", "description": "Minimum suspicion score (0-100) to flag a project.", "default": 30 }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum HTTP requests the crawler can make.", "default": 500 }, "maxRuntimeSecs": { "title": "Max Runtime (Seconds)", "minimum": 60, "type": "integer", "description": "Maximum execution time in seconds.", "default": 300 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```