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SME Credit Engine

Yamify screenshot

SME Credit Engine starts with a Yamify Marketplace stack for data, inference, and agent workflows.

Tool mix​

  • OpenClaw + Supabase + Inference API + DeepSeek

Problem solved​

Informal SMEs lack traditional credit scores.

Build tutorial​

  1. Install Supabase; create transactions, cashflow_features, risk_scores.
  2. Use Yamify Inference API to deploy credit-risk model endpoint.
  3. Build feature pipeline (daily aggregates, stability metrics).
  4. Use OpenClaw to produce explainable score narrative for underwriters.
  5. Persist scores + explanations in Supabase with audit metadata.
  6. Expose score decision webhook to lending partner workflow.

MVP success​

  • Automated risk score produced per SME.
  • Decision explanation generated for every score.
  • Model output traceable for audits.