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Calibre MCP lets your coding agent read RUM and Lighthouse data, then fix the slow code
A side-by-side editorial comparison of Count and Displayr — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Displayr moves custom visualizations to their own domain, so videos, maps and saved settings work.
The latest change is in the plumbing: custom visualizations now load from a separate displayrusercontent.com address. That lets embedded videos play, OpenStreetMap tiles render and browser-saved settings persist, and Displayr says security is unchanged. Before this, the end of September brought Rules through Chat, where Chat applies and writes rules that change tables, plus API document duplication and an input shortcut. The summer made Chat easier to audit and added shared controls and rolling averages.
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.
The latest change is in the plumbing: custom visualizations now load from a separate displayrusercontent.com address. That lets embedded videos play, OpenStreetMap tiles render and browser-saved settings persist, and Displayr says security is unchanged. Before this, the end of September brought Rules through Chat, where Chat applies and writes rules that change tables, plus API document duplication and an input shortcut. The summer made Chat easier to audit and added shared controls and rolling averages.
Displayr's arc is Chat moving from explaining to editing, with the core report builder getting steady workflow fixes. The new domain removes limits that blocked richer custom visuals, which matters most to teams building embedded dashboards on top of survey data.
The six-week gap since the Rules release and this infrastructure-only follow-up make the next step unclear. The most consistent pattern is more Chat actions that change documents directly.
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 Displayr.
Calibre MCP lets your coding agent read RUM and Lighthouse data, then fix the slow code
Plausible removes the goal setup step from funnels.
Usermaven is rebuilding analytics around Maven AI agents that report without being asked.
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.
See all Count alternatives → · See all Displayr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. 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 Displayr alternatives in Analytics are ranked by recent ship velocity. Browse the "Displayr alternatives" section above for the current picks, or visit /alternatives/displayr for the full list with editorial commentary on each.