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ease
features
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support

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Description

Oqoqo serves as a comprehensive platform for creating evaluations and tailored benchmarks for practical tasks requiring agency, enabling teams to conduct large-scale experiments in realistic settings utilizing fully managed cloud services. Users have the flexibility to establish private sets of tasks and criteria, evaluate agents on their ability to interact with various products such as skills, MCP servers, CLIs, SDKs, APIs, documentation, and files, while also facilitating the comparison of agents, models, interventions, and levels of effort under consistent conditions. Each individual task operates in its own separate environment, complete with the necessary project state, context, files, tools, and credentials. Oqoqo meticulously records every aspect of each run, documenting commands, tool interactions, errors, files, and the point at which an agent ceased functioning, ultimately providing metrics such as pass or fail results, pass rates, improvements, token utilization, and areas of friction. With these valuable insights, teams are empowered to pinpoint issues within product interfaces, address token inefficiencies, analyze performance variances, rectify failures, and subsequently re-execute the experiments for further refinement and learning. This iterative process fosters a culture of continuous improvement, ensuring that agents are consistently enhanced for optimal performance.

Description

Kubbi serves as a secure handoff layer specifically designed for AI agents, facilitating the secure transmission of data, files, and execution results among various systems, agents, or individuals via temporary, encrypted claim links. Rather than transmitting sensitive information directly through workflows, prompts, or logs, kubbi empowers a producer to generate a payload that encapsulates content or packaged files, assigns a time-to-live, and creates a unique claim URL for sharing with the next participant in the workflow. The recipient can then access the payload at their convenience, with the option for the data to either automatically expire or be permanently deleted according to predefined retrieval limits. This methodology significantly minimizes the risk of sensitive data exposure across systems and inhibits any unintentional logging, caching, or replaying of that information. Furthermore, kubbi is versatile, accommodating various use cases like the transfer of configuration files, datasets, reports, tokens, and any other transient or sensitive data that should not persist within systems. By implementing such a secure transfer process, kubbi enhances data integrity and confidentiality throughout the entire workflow.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Model Context Protocol (MCP)
Claude Code
Codex CLI
Cursor
GitHub Copilot
Grok Build
Hermes Agent
OpenClaw
OpenCode
Pi Agent
Python
TypeScript

Integrations

Model Context Protocol (MCP)
Claude Code
Codex CLI
Cursor
GitHub Copilot
Grok Build
Hermes Agent
OpenClaw
OpenCode
Pi Agent
Python
TypeScript

Pricing Details

$20 per month
Free Trial
Free Version

Pricing Details

$19 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Oqoqo

Founded

2026

Country

United States

Website

oqoqo.ai/

Vendor Details

Company Name

kubbi

Country

United States

Website

www.kubbi.ai/

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Product Features

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