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MultiVideo Agent - AI Video API for Developers & MCP

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MultiVideo Agent - AI Video API for Developers & MCP

MultiVideo Agent - AI Video API for Developers & MCP

Developed by

AgentX

AgentX

Maintained by Community

๐Ÿ”ฅ AI Video API - Multi-platform video processing for developers, MCP servers & AI agents. Download videos from 1000+ sites with metadata extraction. Perfect for Claude Desktop, workflow automation & AI applications. Enterprise reliability.

5.0 (1)

Pricing

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Last modified

3 days ago

You can access the MultiVideo Agent - AI Video API for Developers & MCP programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโ€™ll need an Apify account and your API token, found in Integrations settings in Apify Console.

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"paths": {
"/acts/agentx~multivideo-agent/run-sync-get-dataset-items": {
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"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
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"/acts/agentx~multivideo-agent/runs": {
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"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
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"components": {
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"inputSchema": {
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"properties": {
"video_urls": {
"title": "๐Ÿ”— Video URLs (Max 5 URLs)",
"minItems": 1,
"maxItems": 5,
"uniqueItems": true,
"type": "array",
"description": "๐ŸŽฏ Add up to 5 video URLs from any platform (YouTube, TikTok, Instagram, Twitter/X, etc.). Get watermark-free videos + rich metadata including views, likes, comments. Perfect for AI workflows and MCP servers. Transparent tier-based pricing.",
"items": {
"type": "string"
}
},
"quality": {
"title": "๐ŸŽฌ Video Quality",
"enum": [
"high",
"medium",
"low"
],
"type": "string",
"description": "๐ŸŽš๏ธ Choose video resolution for your workflow. Higher quality = better resolution but larger file size and higher cost. Recommended: High for content creation, Medium for most AI workflows, Low for quick processing.",
"default": "high"
}
}
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"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
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"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
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"status": {
"type": "string",
"example": "READY"
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"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
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"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
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"restartCount": {
"type": "integer",
"example": 0
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"resurrectCount": {
"type": "integer",
"example": 0
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"computeUnits": {
"type": "integer",
"example": 0
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}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
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"timeoutSecs": {
"type": "integer",
"example": 300
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"memoryMbytes": {
"type": "integer",
"example": 1024
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"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
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"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
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"defaultRequestQueueId": {
"type": "string"
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"buildNumber": {
"type": "string",
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"containerUrl": {
"type": "string"
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"usage": {
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"type": "integer",
"example": 1
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"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
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"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
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"example": 0
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"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
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"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
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"DATASET_READS": {
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"type": "integer",
"example": 0
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"type": "number",
"example": 0.00005
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"type": "integer",
"example": 0
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"type": "integer",
"example": 0
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"REQUEST_QUEUE_WRITES": {
"type": "integer",
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"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
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"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
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"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
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"type": "integer",
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}

AI Video API - Multi-Platform Processing for Developers OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for MultiVideo Agent - AI Video API for Developers & MCP from the options below:

If youโ€™d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients: