Commerce Intelligence Engine

Build with ReFiBuy

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.

94%
Avg. confidence score on attribute suggestions
78%
Avg. ACO score improvement after enrichment
<30s
Enrichment time per SKU via API
40K+
SKUs enriched for enterprise customers

Three ways to build

Whether you manage product data for your own brand, build PIM integrations for clients, or are creating AI-native commerce experiences.

Retailers and Brands
For Retailers & Brands
You have an engineering team and a catalog to optimize. Call our APIs from your product pipeline to evaluate, enrich, and monitor SKU eligibility across agentic shopping engines.
  • REST API + webhooks for event-driven workflows
  • Brand context applied per-call
  • SKU-based pricing you can forecast
PIM and Integration Partners
For PIM & Integration Partners
Build ReFiBuy capabilities into your standard PIM implementation once. Every brand client you onboard gets agentic-ready catalog data automatically. One integration, many deployments.
  • Multi-tenant API with per-client brand context
  • Batch enrichment + distribution for catalog syncs
  • Partner program with revenue share
New
Agent Builders
For Agent Builders
Building AI shopping agents, commerce copilots, or autonomous procurement workflows? Our MCP server gives your agents real-time access to product evaluation, enrichment, and monitoring as callable tools.
  • MCP server for tool-calling agents
  • Webhook subscriptions for event-driven flows
  • Recurring jobs: “evaluate my catalog every morning”

ReFiBuy capabilities you can build on

The Commerce Intelligence Engine runs a closed loop for every SKU in your catalog. Each capability is accessible as a distinct API product.

Ingest
Ingest
Pull catalog data from legacy systems — PIMs, ERPs, feeds, spreadsheets. Normalize and stage it for the CIE pipeline.
Evaluate API Product
Evaluate
Score SKU eligibility across agentic shopping engines. Identify exactly where products fail to qualify and get actionable fix recommendations.
Enrich API Product
Enrich
Close attribute gaps, generate LLM-optimized titles, descriptions, and Q&A pairs. Human-in-the-loop or fully automated with brand-specific controls.
Distribute API Product
Distribute
Deliver optimized product data to every agentic shopping surface and commerce endpoint. OpenAI Agentic Commerce Protocol and Google UCP ready.
Sync
Sync
Write enriched data back to your legacy systems — PIM, ERP, commerce platform. Keep your source of truth updated with agentic-ready attributes.
Monitor API Product
Monitor
Track visibility scores and competitive positioning across agentic engines. Get alerts when SKU eligibility changes. One-click actionable fixes.

Multiple surfaces. Structured results.

Access ReFiBuy capabilities via REST API, MCP for AI agents, or CLI for your developer toolchain. Same capabilities, same auth, your choice of interface.

Request
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'
Response
{
  "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)"
  ]
}

Works with

Commerce platforms, agentic protocols, and AI agent frameworks.

Akeneo Coming soon
Shopify Coming soon
Salsify Coming soon
SFCC Planned
OpenAI Agentic Commerce Compatible
Google UCP Compatible
MCP Agents Native
Any REST client Available

Developer resources

Quickstart
First evaluation in under 5 minutes
API Reference
Evaluate, Enrich, Distribute, and Monitor endpoints
MCP Server Guide
Connect your AI agents to ReFiBuy capabilities
Integration Guides
Akeneo, Shopify, SFCC, and agent framework walkthroughs

Docs available to design partners during early access. Public docs launch with GA.

Design Partner Program

Shape the future of
catalog intelligence

We are selecting design partners to co-develop the Build with ReFiBuy platform. Get early access, influence the roadmap, and lock in founding partner pricing.

  • Early API + MCP access before public launch
  • Direct Slack channel with the ReFiBuy engineering team
  • Influence the API design and response format
  • Custom brand context setup and tuning
  • Priority support and onboarding
  • Founding partner pricing locked in