# JVM Artifact Release Monitor (`enfex/jvm-artifact-release-monitor`) Actor
Monitor explicit public JVM artifact coordinates for newly published releases with bounded Maven Central REST lookups and change-only dataset output.
- **URL**: https://apify.com/enfex/jvm-artifact-release-monitor.md
- **Developed by:** [Marcel K](https://apify.com/enfex) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
$2.00 / 1,000 checked jvm artifacts
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
## JVM Artifact Release Monitor
Monitor an explicit watchlist of public JVM artifact coordinates for newly published releases. The Actor uses the Maven Central REST search endpoint, persists a small baseline per coordinate, and returns only changed release records by default.
### What it does
- Accepts explicit `groupId` + `artifactId` pairs only; it does not discover packages or scrape maintainers.
- Makes one bounded public REST query per unique coordinate.
- Records the latest version, packaging, publication timestamp when provided, and available file extensions.
- Persists a normalized source snapshot by `baselineKey` to detect `availability`, `latest_version`, and `release_metadata` changes.
- Returns structured per-artifact error rows instead of failing an entire watchlist run.
- Omits unchanged records by default to keep scheduled datasets compact.
### Good use cases
- Java/JVM platform teams maintaining a focused dependency watchlist.
- DevOps teams that need a lightweight release-change feed for specific artifacts.
- Security and engineering teams collecting source evidence before their own upgrade review process.
### Input
- `artifacts`: required list of `{ "groupId", "artifactId" }` objects.
- `maxArtifacts`: run cap from 1 to 25; v1 defaults to 10.
- `includeUnchanged`: include unchanged source records after an initial baseline.
- `baselineKey`: separate stored baselines for environments, clients, or schedules.
Example:
```json
{
"artifacts": [
{ "groupId": "org.apache.logging.log4j", "artifactId": "log4j-core" }
],
"maxArtifacts": 10,
"includeUnchanged": false,
"baselineKey": "production"
}
````
### Output
Each dataset item is a changed, explicitly included unchanged, or errored coordinate.
```json
{
"coordinate": "org.apache.logging.log4j:log4j-core",
"groupId": "org.apache.logging.log4j",
"artifactId": "log4j-core",
"checkedAt": "2026-07-10T00:15:00.000Z",
"status": "ok",
"changed": true,
"changeTypes": ["latest_version"],
"latestRelease": {
"version": "2.26.0",
"packaging": "jar",
"publishedAt": "2026-04-01T00:00:00.000Z",
"extensions": [".jar", ".pom"]
},
"previousLatestRelease": { "version": "2.25.4" },
"sourceUrl": "https://search.maven.org/solrsearch/select?...",
"snapshotHash": "...",
"warnings": []
}
```
`status` values:
- `ok`: Maven Central returned a latest release record.
- `not_found`: Maven Central returned no release record for that coordinate.
- `error`: invalid coordinate or a source failure; inspect `warnings` for a machine-readable code.
### Pricing status
Pay Per Event is enabled at **$0.002 per checked JVM artifact** using the `checked-jvm-artifact` event. Input is capped at 25 artifacts, so a full run costs at most **$0.05** in event charges. Charging happens before each Maven Central source request and stops before the next source request when the Apify event-charge limit is reached.
### Source, terms, and limitations
- Source: Maven Central REST Search API, documented for JSON access from non-browser user agents: .
- Public source records only. No login, cookies, browser automation, proxy, private repository, private network, user data, or maintainer/lead enrichment.
- A source result does not establish dependency compatibility, licensing, vulnerability status, update safety, or an upgrade recommendation.
- Maven Central may delay, change, or omit metadata. The Actor reports the source record it sees and should be used as monitoring evidence, not as the sole deployment gate.
- This is an unofficial independent tool and is not affiliated with, endorsed by, or sponsored by Apache Maven, Maven Central, or Sonatype. All third-party names belong to their respective owners. No third-party logos or branded assets are used.
### Recommended workflow
1. Run once with a stable `baselineKey` to establish a baseline.
2. Schedule future checks with the same key.
3. Keep `includeUnchanged=false` for a compact change-only feed.
4. Use `includeUnchanged=true` when an audit trail of all checks is required.
5. Feed changed records into your own review process; do not automate upgrades from this data alone.
# Actor input Schema
## `artifacts` (type: `array`):
Explicit public Maven Central coordinates to check. Each item needs a groupId and artifactId. No package discovery or private repositories are queried.
## `maxArtifacts` (type: `integer`):
Maximum unique coordinates processed in this run. Hard-capped at 25 for predictable HTTP-only costs.
## `includeUnchanged` (type: `boolean`):
When false, only changed releases and structured per-artifact errors are pushed to the dataset after the first baseline run.
## `baselineKey` (type: `string`):
Namespace for stored release snapshots, for example production, client-a, or weekly.
## Actor input object example
```json
{
"artifacts": [
{
"groupId": "org.apache.logging.log4j",
"artifactId": "log4j-core"
}
],
"maxArtifacts": 10,
"includeUnchanged": false
}
```
# Actor output Schema
## `results` (type: `string`):
Default dataset items. Each item contains a coordinate, latest and previous source release records, change state, warning details, and source provenance.
# 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 = {
"artifacts": [
{
"groupId": "org.apache.logging.log4j",
"artifactId": "log4j-core"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("enfex/jvm-artifact-release-monitor").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 = { "artifacts": [{
"groupId": "org.apache.logging.log4j",
"artifactId": "log4j-core",
}] }
# Run the Actor and wait for it to finish
run = client.actor("enfex/jvm-artifact-release-monitor").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 '{
"artifacts": [
{
"groupId": "org.apache.logging.log4j",
"artifactId": "log4j-core"
}
]
}' |
apify call enfex/jvm-artifact-release-monitor --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=enfex/jvm-artifact-release-monitor",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "JVM Artifact Release Monitor",
"description": "Monitor explicit public JVM artifact coordinates for newly published releases with bounded Maven Central REST lookups and change-only dataset output.",
"version": "0.1",
"x-build-id": "LCiKSwxDRJwphMNXr"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/enfex~jvm-artifact-release-monitor/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-enfex-jvm-artifact-release-monitor",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/enfex~jvm-artifact-release-monitor/runs": {
"post": {
"operationId": "runs-sync-enfex-jvm-artifact-release-monitor",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/enfex~jvm-artifact-release-monitor/run-sync": {
"post": {
"operationId": "run-sync-enfex-jvm-artifact-release-monitor",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"artifacts"
],
"properties": {
"artifacts": {
"title": "JVM artifacts to monitor",
"minItems": 1,
"maxItems": 25,
"type": "array",
"description": "Explicit public Maven Central coordinates to check. Each item needs a groupId and artifactId. No package discovery or private repositories are queried.",
"items": {
"type": "object",
"properties": {
"groupId": {
"title": "Group ID",
"type": "string",
"description": "Maven groupId, for example org.apache.logging.log4j. Letters, digits, dots, underscores, and hyphens only."
},
"artifactId": {
"title": "Artifact ID",
"type": "string",
"description": "Maven artifactId, for example log4j-core. Letters, digits, dots, underscores, and hyphens only."
}
},
"required": [
"groupId",
"artifactId"
]
}
},
"maxArtifacts": {
"title": "Max artifacts",
"minimum": 1,
"maximum": 25,
"type": "integer",
"description": "Maximum unique coordinates processed in this run. Hard-capped at 25 for predictable HTTP-only costs.",
"default": 10
},
"includeUnchanged": {
"title": "Include unchanged artifacts",
"type": "boolean",
"description": "When false, only changed releases and structured per-artifact errors are pushed to the dataset after the first baseline run.",
"default": false
},
"baselineKey": {
"title": "Baseline key",
"type": "string",
"description": "Namespace for stored release snapshots, for example production, client-a, or weekly."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```