# Multi-Cloud AI Model Region Matrix (`pnhd/multi-cloud-ai-model-region-matrix`) Actor

Compare public AI model availability and deployment regions across Azure Foundry, AWS Bedrock, and Google Vertex AI. Get a normalized matrix for architecture, procurement, deployment planning, and data-residency review.

- **URL**: https://apify.com/pnhd/multi-cloud-ai-model-region-matrix.md
- **Developed by:** [Đăng Phạm](https://apify.com/pnhd) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.005 / 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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Multi-Cloud AI Model Region Matrix

Public-documentation data for Azure Foundry, Amazon Bedrock, and Google Vertex AI / Google Cloud generative-model endpoints. It returns normalized model–region relationships for infrastructure automation, architecture, procurement, and data-residency review.

Inputs: `providers`, optional exact `models`, `regions`, `modelVendors`, `includeLifecycle`, `includeSourceMetadata`, and bounded `maxRows`.

Output rows use `recordType: model_region_availability` with provider, model/version/vendor, region, deployment or inference scope, status, lifecycle dates where published, public source URL, and retrieval timestamp. `AVAILABLE`, `UNAVAILABLE_EXPLICIT`, `LEGACY`, `DEPRECATED`, and `UNKNOWN` are distinct. Missing documentation is never treated as unavailable.

Provider semantics remain provider-specific: Azure regional/global/data-zone deployment types, AWS In-Region/Geo/Global inference, and Vertex global endpoints are preserved rather than equated. The Actor reads public vendor documentation only; it uses no cloud account, model API call, browser profile, or credential.

Pricing is pay-per-event: USD 0.005 per Actor start plus USD 0.0005 per uniquely persisted availability row. Availability rows are charged only after successful persistence; failed fetches, retries, duplicates, provider summaries, parser/source failures, fixture data, and unpersisted rows are not charged. Platform usage is not passed through as a separate charge.

Freshness depends on vendor documentation and parser compatibility. This product reports public cloud-provider documentation and is not a guarantee of account-specific quota, entitlement, capacity or deployment success. It is not affiliated with Microsoft, Amazon, AWS, Google, or Google Cloud.

# Actor input Schema

## `providers` (type: `array`):

Providers to collect from.

## `models` (type: `array`):

Optional exact normalized model IDs.

## `regions` (type: `array`):

Optional exact provider region IDs.

## `modelVendors` (type: `array`):

Optional exact model vendors.

## `includeLifecycle` (type: `boolean`):

Include lifecycle fields when the official source publishes them.

## `includeSourceMetadata` (type: `boolean`):

Include public source URLs and timestamps.

## `maxRows` (type: `integer`):

Bound the returned normalized availability rows.

## Actor input object example

```json
{
  "providers": [
    "azure",
    "aws",
    "vertex"
  ],
  "models": [],
  "regions": [],
  "modelVendors": [],
  "includeLifecycle": true,
  "includeSourceMetadata": true,
  "maxRows": 1000
}
```

# Actor output Schema

## `records` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("pnhd/multi-cloud-ai-model-region-matrix").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("pnhd/multi-cloud-ai-model-region-matrix").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 pnhd/multi-cloud-ai-model-region-matrix --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pnhd/multi-cloud-ai-model-region-matrix"
        }
    }
}

```

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/CuA7jAo3nwqnbai9g/builds/al0laBFW8VDrpQpys/openapi.json