render-stream-mcp

x402

render-stream-mcp is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-14).

Processes render-stream data via a premium agentic MCP endpoint, accepting arbitrary string input and returning processed output.

Price / call$0.05

Seller volume →—

Success—

StatusUnknown

How this service works

The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.

Output

Returns a processed output object after the render-stream pipeline has consumed the input data string, typically containing a rendered result, status indicator, or transformed content payload.

Example use cases

Real-time media render pipeline

“I need to render this scene data through the render-stream processor — here's the payload: 'scene=downtown_night, camera=wide, frame_rate=30, output=preview'.”

Streaming content transformation job

“Pass this stream chunk through render-stream for me: 'chunk_id=7, content=<base64_video_frame>, codec=h264, bitrate=4000kbps'.”

Batch render job submission

“Submit this render specification to the render-stream-mcp pipeline: 'template=product_showcase, assets=[logo.png, bg.mp4], duration=15s, resolution=4K'.”

Technical details

Endpoint

POSThttps://api.m2mcent.com/render-stream-mcp/api/process?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to submit data to a render-stream processing pipeline via MCP protocol and are willing to pay per-call pricing. Best suited for agents automating rendering or streaming workflows that require a pay-per-use model.

Side effects

Missing or empty 'data' field returns validation error
Malformed or oversized data string may cause processing failure
Upstream render pipeline unavailability returns 5xx error
Payment failure (x402) if USDC balance is insufficient
Timeout if stream processing exceeds allowed duration

Output

Schema · Response

{
  "type": "json",
  "example": {
    "success": true
  }
}

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