# MicroCap Catalyst Radar (`icekurt/microcap-catalyst-radar`) Actor Scans U.S. stocks under $5 for momentum, unusual activity, fresh catalysts, SEC-related signals, and risk indicators to identify potential opportunities for further research. Built for traders, researchers, automated workflows, and AI agents. Not financial or investment advice. - **URL**: https://apify.com/icekurt/microcap-catalyst-radar.md - **Developed by:** [hasan kurt](https://apify.com/icekurt) (community) - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.05 / actor start 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## MicroCap Catalyst Radar MicroCap Catalyst Radar scans U.S. low-priced stocks under $5 and returns structured market data designed to help identify stocks showing potentially interesting activity. The Actor combines market activity, momentum signals, fresh catalysts, and risk indicators into a simple JSON output that can be consumed by traders, researchers, automated workflows, and AI agents. ### What it does MicroCap Catalyst Radar searches for U.S. stocks under $5 and highlights candidates showing noteworthy market activity. The radar focuses on signals such as: - Price and momentum activity - Unusual market activity - Fresh catalysts and market developments - SEC-related signals - Risk indicators - Potentially interesting micro-cap opportunities The goal is to reduce the amount of manual screening required when researching low-priced U.S. stocks. ### Output Each run returns structured JSON data containing: - `stocks` - the current MicroCap Radar results - `hot` - stocks currently classified by the radar as HOT or STRONG WATCH - `status` - execution status The output is stored in the Apify Dataset and can be consumed programmatically. Example: ````json { "status": "success", "stocks": { "data": [] }, "hot": { "data": [] } } Actual fields may vary depending on the latest available market data. Designed for AI agents MicroCap Catalyst Radar can be used as a data source for AI agents and automated research workflows. An agent can run the Actor, retrieve the Dataset result, and use the structured output for additional filtering, analysis, monitoring, or research. Pricing This Actor uses Apify Pay Per Event pricing. Price: $0.05 per Actor start Each paid run performs a fresh radar request and returns the available results to the Dataset. Typical use cases Micro-cap stock screening Stocks-under-$5 research Catalyst discovery Momentum monitoring Automated market research AI-agent stock research workflows Building watchlists for further investigation Data freshness The Actor requests the latest available data from the MicroCap Radar service each time it runs. Market conditions can change rapidly, so results should always be independently verified before making financial decisions. Disclaimer For research and informational purposes only. Not financial or investment advice. MicroCap Catalyst Radar does not recommend buying, selling, or holding any security. Results, signals, classifications, and other information produced by the Actor do not guarantee future performance. Users are responsible for conducting their own research and making their own financial decisions. # Actor input Schema ## `limit` (type: `integer`): Maximum number of U.S. stocks under $5 to retrieve for analysis. ## Actor input object example ```json { "limit": 100 } ```` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("icekurt/microcap-catalyst-radar").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("icekurt/microcap-catalyst-radar").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).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 icekurt/microcap-catalyst-radar --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,icekurt/microcap-catalyst-radar" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/Ywh7t6ND5AVoIOZaj/builds/RaG2msVTxuKdWyXpT/openapi.json