Plausible
Plausible removes the goal setup step from funnels.
A side-by-side editorial comparison of Appfigures and Count — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Appfigures | Count |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 6.3 |
| Sparks · 30d | 0 | 1 |
| Top themes | app-analytics, mcp, agentic, aso | agentic-analytics, explainability, data-canvas, python |
| Last editorial update | 3h ago | 3h ago |
| Website | — | Visit → |
Appfigures puts its app-store data inside ChatGPT and Claude with a hosted MCP server.
Appfigures followed its August agent CLI with a hosted MCP server in late September. Any agent that supports remote MCP, including ChatGPT, Claude and Grok, can now look up downloads, revenue, reviews, keywords, ranks and competitors without installing anything. It covers the user's own connected apps and public data for any app. The year before was spent on data coverage and research reports.
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.
Appfigures followed its August agent CLI with a hosted MCP server in late September. Any agent that supports remote MCP, including ChatGPT, Claude and Grok, can now look up downloads, revenue, reviews, keywords, ranks and competitors without installing anything. It covers the user's own connected apps and public data for any app. The year before was spent on data coverage and research reports.
The arc runs from better estimates to easier access. iPad coverage, state-level financials, App Intelligence and Leaderboards widened the data; the CLI and now the MCP server let agents query it directly. The MCP release pitches recurring jobs such as weekly competitor checks and review triage, so Appfigures is positioning itself as a data source for agents as much as a dashboard.
Expect more agent-facing actions on top of MCP, such as review replies and Apple Ads changes that the CLI already allows. The entries do not show pricing or limits for agent access.
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 Appfigures or Count.
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.
Marker.io stops waiting for bug reports and starts scanning sites for accessibility issues.
See all Appfigures alternatives → · See all Count 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 0.0), 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 0.0), 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 Appfigures alternatives in Analytics are ranked by recent ship velocity. Browse the "Appfigures alternatives" section above for the current picks, or visit /alternatives/appfigures 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.