Cluvio
Cluvio's shared dashboards now speak the viewer's language, down to number formats.
A side-by-side editorial comparison of Count and Usermaven — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Count | Usermaven |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 6.3 | 2.5 |
| Sparks · 30d | 1 | 0 |
| Top themes | agentic-analytics, explainability, data-canvas, python | product-analytics, ai-agents, mcp, attribution |
| Last editorial update | 2h ago | 1h ago |
| Website | Visit → | — |
Count's agent now shows the chain of cells and assumptions behind every answer it gives.
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
Usermaven is rebuilding analytics around Maven AI agents that report without being asked.
Usermaven shipped Maven AI Agents in September, which run scheduled analyses and surface insights proactively, and now lets users save AI-generated charts to dashboards and share agent reports by public link. Over the summer it added an MCP server, a Salesforce integration with reverse ETL, and Event Sources for importing conversions from other tools.
Count is a data-canvas analytics tool organized around an AI agent. Its late-October release added Reasoning Chains, which link each claim and chart in an agent answer back to the cells, sources and assumptions behind it. Over the summer it rebuilt the agent with web data and auto layout, moved Python to a server sandbox with any PyPI package, and added longer agent conversations, a faster empty-canvas start and catalog views that stay populated while they refresh.
Count is making the agent the main way to work in the canvas, then adding the checks that let people trust its output. Reasoning Chains and server-side Python with managed secrets point at analysis that can be audited and run on real data. Steady fix lists for agent edits show the agent is still being hardened.
Expect more ways to inspect and correct agent work, building on Reasoning Chains. The entries don't show whether chains will extend to Slack answers.
Usermaven shipped Maven AI Agents in September, which run scheduled analyses and surface insights proactively, and now lets users save AI-generated charts to dashboards and share agent reports by public link. Over the summer it added an MCP server, a Salesforce integration with reverse ETL, and Event Sources for importing conversions from other tools.
The product is moving from a web analytics dashboard to a data layer that AI agents query and act on, with data flowing in from CRMs and payment tools and back out to operational tools. Recent releases tie agent output back into the classic dashboard.
Expect deeper agent actions, such as alerts or audience syncs triggered from agent findings, building on the agents and reverse ETL already shipped.
Other Analytics 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 Count or Usermaven.
Cluvio's shared dashboards now speak the viewer's language, down to number formats.
HyperDX patches its collector for an MPTCP CVE days after adding OTel session replay.
Whatagraph's IQ Agents now watch ad accounts and act on them, not just report.
Marker.io stops waiting for bug reports and starts scanning sites for accessibility issues.
Appfigures puts its app-store data inside ChatGPT and Claude with a hosted MCP server.
Omni adds embed MCP tokens and webhook delivery for AI routines.
See all Count alternatives → · See all Usermaven alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — mcp — within Analytics. Count 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. Count 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 Analytics products to evaluate alongside.
Top Count alternatives in Analytics are ranked by recent ship velocity. Browse the "Count alternatives" section above for the current picks, or visit /alternatives/count for the full list with editorial commentary on each.
Top Usermaven alternatives in Analytics are ranked by recent ship velocity. Browse the "Usermaven alternatives" section above for the current picks, or visit /alternatives/usermaven for the full list with editorial commentary on each.