Aegisys vs Arize

What Arize does

LLM tracing, evaluation scoring, and production monitoring for AI applications. Strong for tracking model inputs/outputs and measuring quality metrics over time..

What Aegisys does

Arize traces what the model produced. Aegisys proves what the agent did — cryptographically sealed receipts that any third party can verify without an Arize account.

Feature comparison

See the difference

// Before: Arize traces the LLM call
arize.log_trace(llm_call, response);

// After: Aegisys seals the action receipt
const receipt = await witness.wrap(
  { action: "stripe.charge", amount: 2000 },
  async () => stripe.charges.create({ amount: 2000 })
);
// Anyone can verify: npx @aegisys/record verify receipt.json

Migrating from Arize

Keep Arize for LLM observability. Add Aegisys around consequential actions — the API calls, charges, and data writes that Arize can't prove happened.

When Arize is the better choice

Honest assessment — Arize beats Aegisys if:

• You need deep LLM token-level tracing
• Evaluation pipelines with human feedback
• Model comparison across versions