Cross-Modal Embedding Aligner MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.18/call, status unknown (last checked 2026-10-16).
Aligns and maps embeddings across different modalities (e.g. text, image, audio) into a shared vector space for cross-modal similarity and retrieval
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Returns aligned embedding vectors projected into a shared cross-modal space, enabling direct comparison and similarity computation between embeddings originally produced by different modality-specific models.
POSThttps://api.m2mcent.com/cross-modal-embedding-aligner-mcp/api/process?utm_source=zero.xyzChoose this endpoint when you need to bridge embeddings from different modality-specific models (e.g. CLIP image embeddings vs. BERT text embeddings) into a unified vector space for cross-modal retrieval, ranking, or similarity computation. Prefer it over single-modality embedding services when your pipeline involves comparing or searching across heterogeneous data types like text, images, or audio.
{
"type": "json",
"example": {
"success": true
}
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