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What is Scritch?

Scritch acts as an AI-driven recovery agent specifically designed for support and product teams in B2B software companies. Its software development kit (SDK) connects a failed action within an application to a recovery procedure that assesses the server's response and relevant read-only information. This method simplifies the problem for the user and gathers details that only they can provide. If changes are necessary, Scritch requests approval and confirms through code that the proposed solution is valid before informing the user to continue. Teams can also specify the tools and repair methods available to the agent. In situations where Scritch cannot resolve an issue, it generates a comprehensive report and case history for the support team, with the capability to easily hand off the case to relevant ticketing and messaging platforms. Common scenarios include challenges such as declined invoices, failed imports or uploads, session expirations, and access issues. Notably, this product is dedicated to tackling technical obstacles in B2B applications and deliberately avoids consumer-focused tasks like appealing social media bans or moderating content, thereby reinforcing its commitment to improving operational effectiveness in the business landscape. This ensures that organizations can rely on Scritch to streamline their troubleshooting processes and enhance user experience efficiently.

What is Kayba?

Kayba enhances the capabilities of AI agents by leveraging experiential learning to boost their performance. It meticulously analyzes execution traces to pinpoint failures and evaluate the success of corrective measures taken. Instead of relying on broad assessments that often obscure the reasons for an agent's deficiencies, Kayba focuses on the specific traces of each agent to uncover failure modes and develop customized benchmarks that are pertinent to the user's environment, allowing teams to measure advancements against real-world production failure scenarios. With an effortless one-line setup, Kayba seamlessly incorporates tracing into the agent, enabling it to monitor performance in real-time and immediately notify users if any step is no longer recorded. Recognizing that even the most effective tracing can deteriorate amid changes, Kayba routinely examines the current tracing, flags any malfunctioning components, pinpoints the necessary file for correction, and communicates the issue to a coding agent via MCP. This coding agent steps in to rectify the problem, after which Kayba verifies that the trace is restored to full functionality, thereby ensuring continuous reliability and performance optimization. Furthermore, this systematic approach empowers teams to uphold exceptional operational consistency while nurturing perpetual advancements in their AI systems. In essence, Kayba not only addresses immediate issues but also fosters an environment conducive to sustained growth and enhancement of AI capabilities.

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Integrations Supported

Discord
Intercom
Jira
Linear
Slack
Zendesk

Integrations Supported

Model Context Protocol (MCP)

API Availability

Has API

API Availability

Pricing Information

$0.25/recovery
The first 25 recoveries are free with no card required. After adding a card, recoveries remain free for 14 days; afterward, successful recoveries cost $0.25 each. No per-seat charge or monthly minimum; a monthly spend cap is set by the customer ($50 default). Enterprise plans are priced by recovery volume and can run on the customer's servers.
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Okapi Works

Company Location

Belgium

Company Website

scritch.xyz/

Company Facts

Organization Name

Kayba

Date Founded

2025

Company Location

United States

Company Website

kayba.ai/

Categories and Features

Customer Service

Not specified

Categories and Features

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