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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 Frill and Hatz AI — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Frill | Hatz AI |
|---|---|---|
| Sector | Support | Support |
| Velocity score | 6.3 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | feedback-management, mcp, ai-summaries, programmatic-access | msp, ai-platform, phone-agents, shadow-ai |
| Last editorial update | 1mo ago | 12d ago |
| Website | Visit → | — |
Frill is turning its feedback board from a destination into something machines read on demand.
The MCP server is the centrepiece: ten tools, one API key, no configuration, callable from Claude, ChatGPT, Cursor or Intercom Fin, and included on every plan rather than gated. The Chrome extension follows the same instinct from the capture side — grab an idea wherever you spot it, and collapse a long help desk thread into a clean idea with an AI summary in one click. Behind both sits the June groundwork: a public npm SDK, multiple API keys, webhook handling, and MCP in public beta.
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 MCP server is the centrepiece: ten tools, one API key, no configuration, callable from Claude, ChatGPT, Cursor or Intercom Fin, and included on every plan rather than gated. The Chrome extension follows the same instinct from the capture side — grab an idea wherever you spot it, and collapse a long help desk thread into a clean idea with an AI summary in one click. Behind both sits the June groundwork: a public npm SDK, multiple API keys, webhook handling, and MCP in public beta.
Frill is systematically removing the requirement to be in Frill. Capture moves to wherever the conversation already happens; retrieval moves to whatever assistant the team already uses. That reframes the product as the feedback store rather than the feedback interface, and the pricing decision reinforces it — putting MCP on every plan optimises for the corpus being queried, not for upsell. The earlier enterprise work (EU hosting, EntraID SSO, CSP) is what makes that store trustworthy enough to hold the data.
Expect write paths to follow the read paths — an assistant that can already ask what users want will next be expected to file, merge and status ideas — and expect more capture surfaces beyond the browser extension.
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 Frill 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 Frill 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. Frill and Hatz AI are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). 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. Frill and Hatz AI are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Support products to evaluate alongside.
Top Frill alternatives in Support are ranked by recent ship velocity. Browse the "Frill alternatives" section above for the current picks, or visit /alternatives/frill 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.