Deepnote
Deepnote reshapes the data notebook into agent-operable infrastructure.
Comparison · Analytics
Apify vs Count
A side-by-side editorial comparison of Apify and Count — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:mcp
Apify vs Count: at a glance
| Feature | Apify | Count |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 7.5 | 6.3 |
| Sparks · 30d | 2 | 1 |
| Top themes | web-scraping, ai-agents, agentic-payments, mcp | agentic-analytics, mcp, public-api, warehouse-connectors |
| Last editorial update | 2d ago | 17d ago |
| Website | — | Visit → |
What is Apify?
Apify retools Actors for the agentic web — agent payments and login-gated MCP access.
Apify runs a marketplace of 'Actors' — hosted scrapers and automations — and its recent releases aim squarely at AI agents as the new consumer. Agents can now pay per run in USDC via the x402 protocol with no account, reach login-gated apps through MCP connectors, and discover Actors through SEO-friendly published task pages. In parallel, Apify is tightening Actor permissions as agents run more code on users' behalf.
What is Count?
Count is turning its BI canvas into a governed, agent-operated analytics platform.
Count is a data-canvas analytics tool reorganizing itself around an AI agent. In two months it shipped a full public REST API and hosted MCP server (governed agent access via OAuth and service accounts), a major agent upgrade that lets the agent read and edit the entire canvas and answer from Slack, and the ability to plug external MCP servers (Linear, HubSpot, Stripe, Slack, Drive) into the agent. Around the agent it keeps broadening warehouse support—ClickHouse, Snowflake semantic models, OSI—alongside chart and UX polish.
Apify vs Count: editorial side-by-side
Apify
7.5ANALYTICS
Apify retools Actors for the agentic web — agent payments and login-gated MCP access.
◆ Current state
Apify runs a marketplace of 'Actors' — hosted scrapers and automations — and its recent releases aim squarely at AI agents as the new consumer. Agents can now pay per run in USDC via the x402 protocol with no account, reach login-gated apps through MCP connectors, and discover Actors through SEO-friendly published task pages. In parallel, Apify is tightening Actor permissions as agents run more code on users' behalf.
◆ Where it's heading
Apify is repositioning from a developer scraping platform into agent-native infrastructure: making Actors callable, payable, and discoverable by autonomous agents, while adding the permission guardrails that agent-driven execution demands. Security defaults are the necessary counterweight to opening the platform to agents.
◆ Prediction
Expect more agent-economy plumbing — broader x402/agentic-payment coverage and more MCP-connected apps — alongside continued least-privilege permission tightening as the default execution model becomes agent-initiated.
Count
6.3ANALYTICS
Count is turning its BI canvas into a governed, agent-operated analytics platform.
◆ Current state
Count is a data-canvas analytics tool reorganizing itself around an AI agent. In two months it shipped a full public REST API and hosted MCP server (governed agent access via OAuth and service accounts), a major agent upgrade that lets the agent read and edit the entire canvas and answer from Slack, and the ability to plug external MCP servers (Linear, HubSpot, Stripe, Slack, Drive) into the agent. Around the agent it keeps broadening warehouse support—ClickHouse, Snowflake semantic models, OSI—alongside chart and UX polish.
◆ Where it's heading
Count is building toward analytics where agents are first-class operators: a governed API/MCP layer for access, an agent that drives the canvas end to end, external tool reach via MCP, and connection-level context so guidance is captured once and inherited. Governance—permissions, scopes, service accounts—is the enabling layer that makes agent access acceptable in real data stacks rather than a bolt-on.
◆ Prediction
Expect more connection- and warehouse-level context controls, a widening catalog of supported external MCP integrations, and deeper Slack-native agent workflows.
Alternatives to Apify and Count
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 Apify or Count.
Chord
Chord rebuilds Copilot from the ground up, betting its CDP on conversational AI.
MotherDuck
MotherDuck climbs from serverless DuckDB warehouse to an agent-operable data platform
Apache Superset
Superset's Helm chart ships steadily, but these tags track packaging, not the BI app
Usermaven
Usermaven consolidates a sprawling analytics suite into one AI-assisted hub.
Appfigures
Appfigures turns its estimate engine into market-ranking and competitor-intel products.
Recent activity from Apify and Count
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 7d agoApifyPay for Apify Actors with x402 ⚡
- 8d agoApifyNew Actor creation flow
- 9d agoApifyPublish tasks for your Actor to get more users
- 21d agoCountConnect external MCP servers to the Count agent ⚡
- 24d agoApifyMCP connectors are live. Actors now work where you do. ⚡
- 1mo agoCountDashed lines
- 1mo agoCountNew workspace home
- 1mo agoApifyInteractive OpenAPI documentation for standby Actors
- 2mo agoApifyFull-permission Actors now require approval
- 2mo agoCountClickHouse support
- 2mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack ⚡
- 3mo agoCountPublic API and MCP server ⚡
Frequently asked questions
What is the difference between Apify and Count?
Both compete on the same themes — mcp — within Analytics. Apify is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 1. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Apify better than Count?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apify is currently shipping more aggressively (velocity 7.5 vs 6.3), with 2 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to Apify?
Top Apify alternatives in Analytics are ranked by recent ship velocity. Browse the "Apify alternatives" section above for the current picks, or visit /alternatives/apify for the full list with editorial commentary on each.
What are the best alternatives to Count?
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.