Displayr
Displayr moves custom visualizations to their own domain, so videos, maps and saved settings work.
A side-by-side editorial comparison of Calibre and Count — release velocity, themes, recent moves, and the top alternatives to consider.
Calibre MCP lets your coding agent read RUM and Lighthouse data, then fix the slow code
Calibre now ships a read-only MCP server that gives Claude Code, Cursor, Codex, Copilot, Claude and ChatGPT access to an account's RUM, CrUX and Synthetic data, included on every plan with nothing to install. It lands days after Test Agents moved to Chrome 156 and Lighthouse 13.6.0, which added audits for how AI agents read pages. Admins can disable MCP per organisation and revoke connections, and the Company-plan audit log records them.
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.
Calibre now ships a read-only MCP server that gives Claude Code, Cursor, Codex, Copilot, Claude and ChatGPT access to an account's RUM, CrUX and Synthetic data, included on every plan with nothing to install. It lands days after Test Agents moved to Chrome 156 and Lighthouse 13.6.0, which added audits for how AI agents read pages. Admins can disable MCP per organisation and revoke connections, and the Company-plan audit log records them.
Calibre is turning its monitoring data into something agents act on rather than something people read in dashboards. The summer work on deployment markers, all-pages aggregates and the audit log built the context and governance an agent needs: which deploy, which page, who connected. Expect the remaining surface to follow the same path, with agents both querying performance and being measured by it.
The likely next step is write access or deploy-linked workflows over MCP, such as an agent opening a fix tied to a regression marker, since the current server is explicitly read-only and the launch frames fixing as the goal.
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.
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 Calibre or Count.
Displayr moves custom visualizations to their own domain, so videos, maps and saved settings work.
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 Calibre alternatives → · See all Count alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — mcp — within Analytics. Calibre and Count 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. Calibre and Count 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 Analytics products to evaluate alongside.
Top Calibre alternatives in Analytics are ranked by recent ship velocity. Browse the "Calibre alternatives" section above for the current picks, or visit /alternatives/calibreapp for the full list with editorial commentary on each.
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.