Access the platform that powers agentic commerce optimization. Ingest, evaluate, enrich, distribute, sync, and monitor your catalog — via API, MCP, or CLI.
Trusted by leading brands in beauty, fashion, and retail. Now available as API, MCP, and CLI.
Whether you manage product data for your own brand, build PIM integrations for clients, or are creating AI-native commerce experiences.
The Commerce Intelligence Engine runs a closed loop for every SKU in your catalog. Each capability is accessible as a distinct API product.
Access ReFiBuy capabilities via REST API, MCP for AI agents, or CLI for your developer toolchain. Same capabilities, same auth, your choice of interface.
curl -X POST https://api.refibuy.ai/v1/evaluate \
-H "Authorization: Bearer rfb_sk_live_..." \
-H "Content-Type: application/json" \
-d '{
"sku": "SM-KNITSLIP-BLK-8",
"title": "Knit Slip-On Sneaker",
"brand": "Steve Madden",
"engines": ["chatgpt", "perplexity", "copilot"],
"attributes": {
"color": "Black",
"size": "8",
"category": "Shoes"
}
}'
// MCP tool call from any AI agent { "tool": "refibuy.evaluate", "arguments": { "sku": "SM-KNITSLIP-BLK-8", "title": "Knit Slip-On Sneaker", "brand": "Steve Madden", "engines": ["chatgpt", "perplexity", "copilot"] } } // Also available: // refibuy.enrich - Generate attributes + content // refibuy.monitor - Check visibility scores // refibuy.distribute - Push to agentic surfaces
# Evaluate a single SKU $ rfb evaluate --sku SM-KNITSLIP-BLK-8 \ --engines chatgpt,perplexity,copilot # Enrich with brand context $ rfb enrich --sku SM-KNITSLIP-BLK-8 \ --brand-context ./brand.json # Monitor all SKUs on a schedule $ rfb monitor --catalog ./skus.csv \ --schedule "every day at 6am" # Pipe results to your workflow $ rfb evaluate --sku SM-KNITSLIP-BLK-8 \ --format json | jq '.aco_score'
{
"sku": "SM-KNITSLIP-BLK-8",
"evaluation_id": "eval_7f3k9x2m",
"eligibility": {
"chatgpt": { "eligible": true, "score": 82 },
"perplexity": { "eligible": true, "score": 74 },
"copilot": { "eligible": false, "score": 41,
"reason": "Missing structured attributes" }
},
"aco_score": {
"overall": 78,
"product_content_quality": 85,
"pdp_crawlability": 79,
"semantic_quality": 60,
"trust_signals": 50
},
"recommendations": [
"Add material and care attributes",
"Include Q&A pairs for conversational context",
"Add size fit guidance (runs true to size)"
]
}
Commerce platforms, agentic protocols, and AI agent frameworks.
Docs available to design partners during early access. Public docs launch with GA.
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