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Live Helper Chat ships MCP support, making self-hosted customer chat an AI-queryable endpoint
A side-by-side editorial comparison of iTop and Hatz AI — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | iTop | Hatz AI |
|---|---|---|
| Sector | Support | Support |
| Velocity score | 2.5 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | cmdb, container management, data flow, localisation | msp, ai-platform, phone-agents, shadow-ai |
| Last editorial update | 21d ago | 12d ago |
| Website | Visit → | — |
iTop's 3.3 beta stretches the CMDB to containers, then goes quiet for a month on cleanup
The substantive entry remains the 3.3.0 beta, which adds an optional Container Management module introducing a Cloud class plus container image, application, cluster and host classes, a Data Flow module modelling flows between functional CIs, and sample data installable in French and German alongside English. Sample users are created automatically but arrive disabled with expired passwords. A month later beta3 carries a single commit migrating the last usages of deprecated JavaScript libraries.
Hatz AI launched Activate for MSP AI deployments and made phone agents self-service in back-to-back releases
Hatz AI is shipping at a high rate across three threads: model additions (Claude Fable 5.1, Gemini 3.8 Flash, GLM 5.3, DeepSeek variants), phone agent capabilities (pause/duplicate/reassign/silence controls/live look-ups), and MSP-specific tooling (Hatz Activate for Shadow AI scanning and AI rollouts, Hatz Learn moved in-house, PSA sync improvements). The product is positioning as the AI-as-a-service layer for MSPs managing client AI adoption.
The substantive entry remains the 3.3.0 beta, which adds an optional Container Management module introducing a Cloud class plus container image, application, cluster and host classes, a Data Flow module modelling flows between functional CIs, and sample data installable in French and German alongside English. Sample users are created automatically but arrive disabled with expired passwords. A month later beta3 carries a single commit migrating the last usages of deprecated JavaScript libraries.
The container and data-flow work is iTop extending its configuration model to infrastructure its users have been running for years without a place to record it. Pairing that with localised sample data and pre-built test users points at reducing time-to-first-value during evaluation. The beta train has since narrowed to cleanup — a one-commit third beta four weeks after the first suggests the feature set is settled and the remaining work is dependency hygiene.
Expect 3.3.0 to reach final with the container and data-flow modules as shipped, since the betas have stopped adding to them. Whether the optional modules ship enabled by default isn't stated in these entries.
Hatz AI is shipping at a high rate across three threads: model additions (Claude Fable 5.1, Gemini 3.8 Flash, GLM 5.3, DeepSeek variants), phone agent capabilities (pause/duplicate/reassign/silence controls/live look-ups), and MSP-specific tooling (Hatz Activate for Shadow AI scanning and AI rollouts, Hatz Learn moved in-house, PSA sync improvements). The product is positioning as the AI-as-a-service layer for MSPs managing client AI adoption.
Hatz Activate is the strategic move: a Shadow AI scanning and customer activation workflow built into the admin dashboard turns Hatz from an AI chat platform into a managed AI deployment product for MSPs. Phone agents are becoming a first-class product with their own life cycle — self-service requests, drafts, silence controls, per-minute billing — suggesting Hatz is building toward a full voice AI service layer for MSP clients.
Phone agent features will reach parity with the core chat/workflow surface within two or three releases — approval workflows, templates, and call analytics are the remaining gaps — while Activate will get deeper PSA integrations as MSPs begin using it for active client management rather than just prospecting.
Other Support products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either iTop or Hatz AI.
Live Helper Chat ships MCP support, making self-hosted customer chat an AI-queryable endpoint
Formbricks 6.0 RC cycle reveals commercial hardening: lower self-hosted cap, MCP OAuth, and Act as Beta
SolarWinds Service Desk is loading its Labs pipeline with native Entra ID automation, IT asset tracking, and compliance-ready task management.
Freshchat keeps product moves off the public record — changelog offers nothing to track.
Freshdesk's changelog feed contains only marketing copy — no substantive release data available.
TeamViewer's scraped feed contains only community marketing fragments—no actual release data.
See all iTop alternatives → · See all Hatz AI alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Hatz AI is currently shipping more aggressively (velocity 6.3 vs 2.5), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Hatz AI is currently shipping more aggressively (velocity 6.3 vs 2.5), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Support products to evaluate alongside.
Top iTop alternatives in Support are ranked by recent ship velocity. Browse the "iTop alternatives" section above for the current picks, or visit /alternatives/itop for the full list with editorial commentary on each.
Top Hatz AI alternatives in Support are ranked by recent ship velocity. Browse the "Hatz AI alternatives" section above for the current picks, or visit /alternatives/hatz-ai for the full list with editorial commentary on each.