# OpenAI Status Snapshot (`zentrafoundry/zentra-agent-synthetic-monitor`) Actor

OpenAI Statuspage component names. Not synthetic checks of your agent. $0.04 / component.

- **URL**: https://apify.com/zentrafoundry/zentra-agent-synthetic-monitor.md
- **Developed by:** [Zentra](https://apify.com/zentrafoundry) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $40.00 / 1,000 synthetic checks

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

## OpenAI Status Snapshot

An OpenAI Status component is theirs, not a check of your agent chain.

OpenAI Statuspage component names. Not synthetic checks of your agent. $0.04 / component.

### Last run

**10 row(s).** First row: **Ads Manager — operational**

```json
{
  "title": "Ads Manager — operational",
  "entityName": "Ads Manager",
  "listingName": "Ads Manager — operational",
  "productName": "Ads Manager — operational",
  "sourceUrl": "https://status.openai.com/",
  "sourceName": "OpenAI Status components — not a synthetic agent check"
}
```

### Run it

```json
{
  "searchKeywords": [
    "OpenAI Status"
  ],
  "sourceMode": "startUrls",
  "outputMode": "buyer-ready-records",
  "maxItems": 10,
  "startUrls": [
    {
      "url": "https://status.openai.com/api/v2/summary.json"
    }
  ]
}
```

### What lands in the dataset

- OpenAI Status summary JSON
- component name + status
- statuspage URL

### Use it when

Try is OpenAI Status. Debugging your run stays in Console.

On-call people who already watch status.openai.com.

### Price

**$0.04 / row** — about **$0.40** for a 10-row Try.

Schedule it. A one-off click is not Store revenue.

### What you should know

- Not a synthetic monitor of your agent.
- OpenAI’s status, not yours.

### FAQ

**Is the last-run a fixture?** No. If the dataset is empty, the public source failed — we do not invent a row.

**Will this probe my agent?** No. OpenAI Status components.

# Changelog

This Actor's version history is a separate document: https://apify.com/zentrafoundry/zentra-agent-synthetic-monitor/changelog.md

# Actor input Schema

## `buyerQuery` (type: `string`):

Buyer-safe query or scope for the records returned by this product.

## `taskIntent` (type: `string`):

Stable product-specific purpose for this saved Apify task.

## `sourceMode` (type: `string`):

Sample emits public-safe Apify Actor Record rows. Approved live source mode keeps the same output fields and only uses owner-approved public URLs.

## `outputMode` (type: `string`):

Use sample records for Apify Store QA or buyer-ready records for approved Apify Actor Record delivery.

## `startUrls` (type: `array`):

Public source URL for Try.

## `requestTimeoutSecs` (type: `integer`):

Timeout applied independently to each approved source request.

## `maxRequestRetries` (type: `integer`):

Bounded retry count for transient source failures.

## `sinceLastRun` (type: `boolean`):

Uses stable Actor state to skip logical records delivered by earlier runs.

## `deltaMode` (type: `boolean`):

Preserves stable deduplication keys for recurring tasks and schedules.

## `maxItems` (type: `integer`):

Cap for Try.

## Actor input object example

```json
{
  "buyerQuery": "buyer-ready records with source evidence",
  "taskIntent": "buyer-ready-product-run",
  "sourceMode": "startUrls",
  "outputMode": "buyer-ready-records",
  "startUrls": [
    {
      "url": "https://status.openai.com/api/v2/summary.json"
    }
  ],
  "requestTimeoutSecs": 30,
  "maxRequestRetries": 2,
  "sinceLastRun": false,
  "deltaMode": true,
  "maxItems": 10
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "buyerQuery": "buyer-ready records with source evidence",
    "taskIntent": "buyer-ready-product-run",
    "sourceMode": "startUrls",
    "outputMode": "buyer-ready-records",
    "startUrls": [
        {
            "url": "https://status.openai.com/api/v2/summary.json"
        }
    ],
    "requestTimeoutSecs": 30,
    "maxRequestRetries": 2,
    "sinceLastRun": false,
    "deltaMode": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("zentrafoundry/zentra-agent-synthetic-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "buyerQuery": "buyer-ready records with source evidence",
    "taskIntent": "buyer-ready-product-run",
    "sourceMode": "startUrls",
    "outputMode": "buyer-ready-records",
    "startUrls": [{ "url": "https://status.openai.com/api/v2/summary.json" }],
    "requestTimeoutSecs": 30,
    "maxRequestRetries": 2,
    "sinceLastRun": False,
    "deltaMode": True,
}

# Run the Actor and wait for it to finish
run = client.actor("zentrafoundry/zentra-agent-synthetic-monitor").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 '{
  "buyerQuery": "buyer-ready records with source evidence",
  "taskIntent": "buyer-ready-product-run",
  "sourceMode": "startUrls",
  "outputMode": "buyer-ready-records",
  "startUrls": [
    {
      "url": "https://status.openai.com/api/v2/summary.json"
    }
  ],
  "requestTimeoutSecs": 30,
  "maxRequestRetries": 2,
  "sinceLastRun": false,
  "deltaMode": true
}' |
apify call zentrafoundry/zentra-agent-synthetic-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,zentrafoundry/zentra-agent-synthetic-monitor"
        }
    }
}
```

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 <APIFY_API_TOKEN>` 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/fDe2bhFVniriFV1Xm/builds/W3Apa6XeWcccFpddf/openapi.json