QueryPie AI

Partner Release Dashboard

Release schedules, included improvements, and planned roadmaps for Regular Release, Apps, and more.

📘 Official Manual

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Regular Release(Sprint 16)

AIP features and improvements released regularly by Sprint.

※ Feature scope may change depending on development status until QA begins. Please keep this in mind.

QA
August 4 (Tue)
Release and manual publication
August 12 (Wed)

New Features

  • Added Grok 4.5, Gemini 3.6 Flash, and Gemini 3.5 Flash-Lite models
  • Added SAP MCP integration
  • Azure Files MCP now supports write tools
    • The upload_file and create_directory tools are supported, with replace_file and rename_item planned for the next sprint (17).
  • Agent icons can be generated automatically
    • Icons can be generated automatically from the agent name and description, and credits are consumed in this case.
  • A2A protocol-based agent integration is supported
    • Enable external service connections in Admin > Security.
    • In Admin > Agents, allow external service connections from each agent's Security tab.
    • After enabling the agent, you can view the external service connection information.

UX Improvements

  • Direct access to AIP Apps now opens the most recently selected organization automatically

    This reduces repeated organization selection.

  • The AIP theme is preserved naturally when entering Lingo

    System, light, and dark theme settings carry over into the Lingo entry flow.

  • Launcher role users can view agent-only chat-only links as tiles
    • The 'Launcher' user role has been added.
    • When users access an organization with the Launcher role, they can view accessible agents as tiles.
    • Users can select the required agent from a tile and start chatting immediately.
  • Preset is switching to read-only, restricting creation and editing
    • The Preset menu displays a 'Deprecated' tag.
    • After a sufficient migration period, the Preset feature is planned to end when the migration is considered complete.

Skill Improvements

  • Skill upload capacity is increased to 50MB
  • Skills can be added directly from the general chat screen
    • Users can add Skills directly from general chat without moving to the Skill menu in advance.
    • From the + button, go to Use Skill > Skill Management to add a Skill directly from the organization library.
    • After that, typing / loads the Skill.

MCP Improvements

  • Required MCPs can be installed or activated in the conversation flow and used immediately
    • If a new MCP installation or activation is needed during the conversation flow, the chat screen provides UI for authentication.

Admin Enhancements

  • Credit usage history can be downloaded as a CSV file for a selected period
    • You can download up to 31 days of CSV data.

AIP CLI Release

We released AIP CLI so you can manage AIP work faster from the terminal.

A command-line tool for managing AIP organizations, Skills, Agents, Integrations, Automations, My Drive, and MCP locally.

Use it as follows.
# init / login
npm i -g aipctl@latest
aipctl config set --app-url <app_url>
aipctl auth login

# help
aipctl --help

# admin skill import with overwrite
aipctl admin skill github import --overwrite https%3A%2F%2Fgithub.com%2F<owner>/<repo>/tree/<branch>

Long-Term Roadmap

Product direction for partner sharing.

YuhoNavi (AIP App)

Release target
Late August to early September

A Sandbox server is available for YuhoNavi testing.https://yuhonavi.sandbox.querypie.io/

What is YuhoNavi?

YuhoNavi is a financial data platform that structures disclosure information, financial statements, stock price data, and IR materials from Japanese listed companies so AI can use them immediately. Based on official data from Japan's Financial Services Agency (EDINET) and the Tokyo Stock Exchange (TDnet), it holds approximately 10 years of Japanese listed-company data from 2016 to the present, significantly shortening the data collection and analysis process required for company analysis and market research.

Previously, teams had to manually review numerous disclosures and financial materials for competitor analysis or investment review. YuhoNavi lets AI automatically collect and analyze the data so practitioners can gain insights faster and focus on strategic decision-making.

Key use cases

Competitor analysis and market research

When a competitor announces earnings, AI automatically analyzes related disclosures, financial statements, IR materials, and stock price reactions, then summarizes the key points. Work that previously took days or weeks can be completed in tens of minutes, making it useful for consulting firms, corporate strategy teams, and investment organizations.

Early detection of financial risk

YuhoNavi analyzes not only profit on the income statement but also cash flow, borrowings, inventory, accounts receivable, and other financial indicators to identify potential risk signals early. This helps detect companies that may appear healthy on earnings but are actually experiencing deteriorating cash liquidity.

IR and shareholder meeting response

AI comprehensively analyzes recent earnings changes, stock price movement, performance against competitors, and business risks to predict questions shareholders may ask. It can also draft responses to expected questions, helping executives and IR teams respond more effectively.

Investment and company valuation support

YuhoNavi can quickly generate investment review materials or valuation materials by analyzing a company's financial soundness, growth, profitability, and cash flow. AI can also automate comparative analysis across multiple companies.

Expected impact

Reduce time spent on competitor analysis Automate company research and market research Detect financial risks earlier Improve IR and shareholder meeting response quality Accelerate investment review and decision-making Automate disclosure monitoring work