Software Alternatives, Accelerators & Startups

AscendCore VS Agentastic.dev

Compare AscendCore VS Agentastic.dev and see what are their differences

AscendCore logo AscendCore

Approval-first IT automation for mid-market IT teams and MSPs. 31 production runbooks handle the identity, access and provisioning work behind high-volume L1 tickets. Every action needs explicit human approval. Slack and Microsoft Teams native.

Agentastic.dev logo Agentastic.dev

Run 30+ parallel coding agents in isolated worktrees or Docker containers with built-in IDE, terminal, browser, diff review, and code review. Native macOS.
  • AscendCore
    Image date //
    2026-08-04
  • AscendCore
    Image date //
    2026-08-05
  • AscendCore
    Image date //
    2026-08-05
  • AscendCore
    Image date //
    2026-08-05
  • AscendCore
    Image date //
    2026-08-05

AscendCore is agentic AI for the L1 IT help desk that resolves tickets, not just chats about them.

Two properties define it. It is deterministic: every request runs a versioned, auditable runbook held in source control, never free-form model output. And it is approval-first: nothing touches a system without explicit human approval, and every decision is written to a SHA-256 tamper-evident audit chain the customer can export as compliance evidence and verify independently.

The problem. Mid-market IT teams lose a large share of engineer time to repeatable Tier-1 work: MFA and password resets, account unlocks, license and group changes, VPN access, provisioning. Password resets alone are 20-50% of service-desk volume (Gartner). ITSM platforms catalog those tickets. Chat-based AI assistants deflect them. Neither executes the change in Okta, Entra ID, M365, Intune or ServiceNow. The work happens in the systems, not the conversation.

Shipped today. 31 production runbooks across identity, access, offboarding and provisioning. Natural-language triage in Slack and Microsoft Teams at parity, so approvals land on an interactive card where the team already works. One-click chain verification, governance dashboards and compliance exports. Orchestration across Okta, Entra ID, M365, Intune, Jira Service Management, Confluence and ServiceNow. Customer API v1 with a public OpenAPI 3.1 spec, admin SSO with IdP-mediated MFA, and customer plus MSP partner portals.

Extending into a governed action plane. An approval-gated Agent Gateway, where AI agents propose runbook actions for a human to approve, is live. Access review campaigns with exportable evidence bundles and a license-reclaim savings ledger are in production. Alert-to-remediation Signals is in development.

Built for procurement-grade environments, where AI sales cycles usually die.

Core from $4/user/month. 30-day pilot, no credit card. Live demo, no signup: ascendcore.ai/demo/dashboard/governance

  • Agentastic.dev Landing page
    Landing page //
    2026-05-30

AscendCore

$ Details
paid Free Trial $4 / Monthly (Core, per user)
Platforms
Web Slack Microsoft Teams
Release Date
2026 May
Startup details
Country
United States
State
Pennsylvania
City
Pittsburgh
Founder(s)
Jacob Kelly
Employees
1 - 9

Agentastic.dev

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

AscendCore features and specs

  • Approval gate
    Every automated action requires explicit human approval before it runs. No autonomous actions.
  • Production runbooks
    31 live runbooks across identity, access, endpoint and provisioning
  • Audit trail
    SHA-256 tamper-evident chain, customer-exportable and independently verifiable
  • Integrations
    Okta, Microsoft Entra ID, Microsoft 365, Intune, Slack, Teams, Jira Service Management, Confluence, ServiceNow
  • Agent Gateway
    AI agents propose runbook actions through an approval-gated MCP gateway. Nothing executes without a human decision.
  • Access Reviews
    Access review campaigns with approval-gated revocation and exportable evidence bundles for audit
  • Savings Ledger
    License reclaim tracked as an auditable savings ledger, so recovered spend is evidenced rather than estimated

Agentastic.dev features and specs

  • MCP Server Discovery Platform
    Agentastic.dev serves as a dedicated discovery and marketplace platform for MCP (Model Context Protocol) servers, making it easier for developers to find and explore available MCP-compatible tools and integrations in one centralized location.
  • Growing Ecosystem Support
    The platform supports the emerging MCP ecosystem by providing a curated directory of servers, helping to accelerate adoption of the Model Context Protocol standard for AI agent tool connectivity.
  • Developer-Focused
    The platform is designed with developers in mind, providing technical details and information about MCP servers that help developers quickly evaluate and integrate the right tools for their AI agent workflows.
  • Free to Browse
    Agentastic.dev allows users to freely browse and discover MCP servers without requiring payment, lowering the barrier to entry for developers exploring the MCP ecosystem.
  • Simplifies MCP Integration
    By aggregating MCP server listings in one place, the platform reduces the time and effort developers need to spend searching across multiple sources to find compatible MCP servers for their projects.

Possible disadvantages of Agentastic.dev

  • Relatively New Platform
    Agentastic.dev is a relatively new and emerging platform, which means it may have a limited track record, fewer user reviews, and less community validation compared to more established developer tool directories.
  • Limited Server Listings
    As an early-stage platform, the catalog of available MCP servers may still be limited compared to what the broader ecosystem offers, potentially missing some community-built or niche MCP servers.
  • Niche Focus
    The platform is narrowly focused on MCP servers, which means it is only useful for developers specifically working with the Model Context Protocol and may not serve broader AI development needs.
  • Ecosystem Dependency
    The platform's value is heavily dependent on the success and widespread adoption of the MCP standard itself. If MCP does not gain broad traction, the platform's utility could diminish significantly.
  • Limited Community Features
    The platform may lack robust community features such as user ratings, detailed reviews, discussion forums, or contribution workflows that more mature developer ecosystems typically offer to help users make informed decisions.

Analysis of Agentastic.dev

Overall verdict

  • I don't have verified information about Agentastic.dev, so I can't confirm its quality, reliability, or legitimacy. It appears to be a lesser-known or possibly newer product that isn't part of my reliable knowledge base, and I'd recommend independent research before trusting or using it.

Why this product is good

  • No verified data available on this specific platform's features, pricing, or user reviews
  • Domain name suggests it may relate to AI agents or agentic tools, but functionality is unconfirmed
  • Unable to verify company legitimacy, security practices, or track record
  • Risk of relying on unverified or unofficial sources for evaluation

Recommended for

  • Users who conduct their own due diligence, including checking recent reviews, official documentation, and community feedback before adoption
  • Those comfortable testing new or niche tools cautiously, ideally with sandbox environments or trial periods
  • Not recommended for critical business use until legitimacy and reliability are independently verified

AscendCore videos

AscendCore product demo: approval-first IT automation

Agentastic.dev videos

No Agentastic.dev videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to AscendCore and Agentastic.dev)
Workflow Automation
100 100%
0% 0
Productivity
0 0%
100% 100
IT Automation
100 100%
0% 0
AI
36 36%
64% 64

Questions & Answers

As answered by people managing AscendCore and Agentastic.dev.

What makes your product unique?

AscendCore's answer

AscendCore is approval-first: the AI never executes anything. It classifies intent, then a named human approves or denies on an interactive card in Slack or Microsoft Teams, and only then does a deterministic runbook run. The classifier holds no credentials and has no execution path.

Every approval and execution is appended to a SHA-256 hash chain in which each record contains the prior record's hash. Customers can export that chain and re-hash it offline to prove nothing was altered. Independent customer verification of the audit trail is uncommon in this category, and it is the part security and audit reviewers care most about.

The runbooks themselves are deterministic TypeScript orchestrators rather than generated output, so the same request produces the same sequence of API calls every time.

Why should a person choose your product over its competitors?

AscendCore's answer

Three things you can verify before you talk to anyone:

Published pricing. Core is $4 per user per month and Professional is $8, listed publicly at ascendcore.ai/pricing. No call required to see a number.

Days, not months. Self-serve onboarding with no certified-partner engagement. Observe mode can be live in under 2 hours, and a 30-day pilot is included with no credit card.

Governance you can check yourself. Open the live demo at ascendcore.ai/demo/dashboard/governance without signing up, click Verify, and watch the audit chain re-hash from genesis.

Honest scope: AscendCore is not a full ITSM system of record. There is no CMDB and no complete ITIL suite. If you need those, keep your platform and run AscendCore alongside it as the approval-first action and orchestration layer.

How would you describe the primary audience of your product?

AscendCore's answer

Mid-market IT teams, roughly 500 to 3,000 employees, running a modern identity and endpoint stack (Okta or Microsoft Entra ID, Microsoft 365, Intune) and absorbing high L1 ticket volume without matching headcount growth.

Typical buyers are IT directors, IT operations managers and CISOs who need automation that can pass an audit, not automation that acts on its own.

The second audience is MSPs, VARs and systems integrators running L1 queues on behalf of their clients, who want to automate that work without replacing the ITSM platform each client already runs.

What's the story behind your product?

AscendCore's answer

AscendCore was founded in 2026 in Pittsburgh, Pennsylvania, and incorporated as a Delaware C-Corporation.

Founder Jacob Kelly spent a decade on the go-to-market side of enterprise IT services, sitting in the same buyer conversation over and over. One pattern kept surfacing: a large share of service-desk volume is a short list of repetitive identity and access requests, and the teams handling them were not short on intent to automate. They were short on a way to automate that their own security and audit reviewers would sign off on.

Most tools failed that review the same way. They either asked the customer to hand execution authority to a model, or they produced no evidence a reviewer could independently verify. AscendCore was built from the opposite constraint: assume every action must be approved by a named human and provable afterward, then make that path fast enough to be worth using.

Which are the primary technologies used for building your product?

AscendCore's answer

TypeScript end to end. The application is Next.js, deployed on Netlify's US edge, with Postgres (Neon) backing the audit chain and operational data.

Runbooks are deterministic TypeScript orchestrators held in version control rather than model-generated steps, so execution is repeatable and reviewable.

Intent classification uses a hosted large language model confined to one job: turning a natural-language request into a structured intent. It holds no credentials and has no execution path.

Integrations are direct API connectors to Okta, Microsoft Entra ID, Microsoft 365, Intune, Slack, Microsoft Teams, Jira Service Management, Confluence and ServiceNow. Inbound webhooks are verified with HMAC-SHA256 for Slack and JWT validation against the Microsoft Bot Framework JWKS for Teams.

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