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About

Kayba makes AI agents self-improve from experience. It learns from an agent’s execution traces to detect failures, fix them, and measure whether the fix actually worked. Instead of relying on generic evals that cannot explain why an agent failed, Kayba derives failure modes from the agent’s own traces and builds custom benchmarks for the user’s domain, so teams can measure improvement against real production failure patterns. Kayba wires tracing into an agent with one line of setup, watches it around the clock, and flags the moment a step stops being recorded. Even good tracing rots as teams ship changes, and steps can quietly stop being captured; Kayba checks the tracing users already have, shows exactly what is broken, points to the file that needs attention, and sends the gap to a coding agent through MCP. The coding agent patches the issue, and Kayba verifies that the trace is actually closed.

About

Prefactor is a real-time evaluation, observability, and reliability platform for production AI agents. It scores every run the moment it happens for quality, drift, cost, and data risk, then wires those evaluations into action so a failing agent is caught live instead of only appearing on a dashboard afterward. Teams can observe every model call, tool invocation, and decision as structured traces and spans, run LLM-as-judge, technical, qualitative, and custom evaluations on each step, and attach context from GitHub, Linear, Jira, databases, internal APIs, or other sources as ground truth. When a run crosses a defined threshold, Prefactor can block or throttle it, pause a sensitive action, or route it to a person for approval, modification, or rejection before execution, with every decision logged. The CLI discovers agents without a platform migration, while TypeScript and Python SDKs provide native support for LangChain, Claude, Vercel AI, OpenClaw, and LiveKit.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI development teams that need to diagnose agent failures, generate reviewable fixes, and track whether those fixes improve performance over time

Audience

AI engineering and platform teams that need to evaluate, monitor, and improve production AI agents for quality, drift, risk, and cost in real time

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$250 per month
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Kayba
Founded: 2025
United States
kayba.ai/

Company Information

Prefactor
Australia
prefactor.tech/

Alternatives

Alternatives

Traccia

Traccia

Algen AI

Categories

Categories

Integrations

Active Directory
Agent Development Kit (ADK)
AutoGen
Claude Code
Cohere
ElevenLabs
GitHub Copilot
Google Cloud BigQuery
Google Cloud Platform
Haystack
Jira
Microsoft Azure
Mistral AI
Model Context Protocol (MCP)
New Relic
Okta
PydanticAI
Python
Slack
Snowflake

Integrations

Active Directory
Agent Development Kit (ADK)
AutoGen
Claude Code
Cohere
ElevenLabs
GitHub Copilot
Google Cloud BigQuery
Google Cloud Platform
Haystack
Jira
Microsoft Azure
Mistral AI
Model Context Protocol (MCP)
New Relic
Okta
PydanticAI
Python
Slack
Snowflake
Claim Kayba and update features and information
Claim Kayba and update features and information
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