Albedo Delighter MCP

x402

Albedo Delighter MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-13).

Processes image or rendering data to enhance albedo (surface reflectance) quality, removing unwanted artifacts or improving material appearance.

Price / call$0.15

Seller volume →—

Success—

StatusUnknown

How this service works

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Output

Returns processed albedo data with enhanced surface reflectance, with lighting artifacts removed and material color corrected, as a string payload suitable for downstream rendering or texture pipelines.

Example use cases

3D asset albedo cleanup

“I have an albedo texture from my 3D scan that has baked-in lighting and needs to be delighted — can you process this data and return a clean surface reflectance map?”

Real-time renderer material fix

“My real-time game engine is showing incorrect material colors because the albedo map has lighting contamination — can you run it through the albedo delighter to fix the reflectance?”

VFX pipeline albedo correction

“We're prepping assets for a VFX pipeline and the albedo maps from our photogrammetry capture need delighting before they're usable — please process this raw albedo data and return the corrected version.”

Technical details

Endpoint

POSThttps://api.m2mcent.com/albedo-delighter-mcp/api/process?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need automated albedo delighting or surface reflectance correction as part of a 3D rendering, photogrammetry, or VFX pipeline. Prefer this over manual tools when integrating albedo correction into an agentic workflow that requires programmatic, pay-per-call processing.

Side effects

Invalid or malformed data string returns a 400 error
Empty data field causes processing failure
Unsupported data format may result in garbled output
Payment not received results in 402 response before processing begins
Service timeout on very large data payloads

Output

Schema · Response

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

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