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Cy vs Skywork

Cy and Skywork are both ai agent apps tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Cy

Cy

Cy lives inside Slack and connects to your existing tool stack — CRM, inbox, LinkedIn, accounting software, ad accounts — executing multi-step jobs without a handoff back to you. The vendor demonstrates this with accounts receivable chasing, outbound sequence management, influencer pitching, and weekly reporting, all running on a schedule without a trigger from your team. Because there is no canvas to configure and no workflow builder to learn, setup is fast and the barrier to delegation is low. The ceiling appears when you need branching logic, conditional routing, or exceptions handled differently by account type — the page describes plain-English instructions, not configurable decision trees. Teams that need auditable step-by-step control over what Cy does when something goes wrong will find the abstraction uncomfortable.

Skywork

Skywork

Skywork deploys what it calls Super Agents — task-specialized agents that handle discrete output types including documents, slides, spreadsheets, podcasts, and video — so a single research prompt can fan out into multiple finished formats without manual reformatting. The vendor states citations are embedded in outputs, which addresses the verification problem that makes generic AI drafts unusable in analyst and academic workflows. The free tier runs on a daily credit cap, so high-volume or back-to-back generation tasks hit a ceiling fast. There is no self-hosted option, which rules out any team with data residency requirements. Teams doing complex conditional branching across agent steps will find the platform's current surface area constraining.

AttributeCySkywork
PricingPaidPaid
Price$20/mo$19.99/month (Pro plan)
Free trialNoNo
Open sourceNoNo
Has APINoNo
Self-hosted optionNoNo
PlatformsSlackWeb, iOS, and Android, Windows Desktop
Released2025-05
Pros
  • Executes multi-tool jobs end to end inside Slack without switching context, so your team is not the integration layer between CRM updates, email sends, and Notion logs.
  • Scheduled always-on roles mean daily work like invoice chasing or outbound sequencing runs without a daily prompt, so recurring tasks do not slip when your team is heads-down on something else.
  • Plain-English instructions replace workflow configuration, so there is no builder to learn and delegation does not require an ops specialist to set up.
  • Connects to 1,000-plus integrations and syncs results back to the tools already in your stack, which means you are not maintaining a parallel system of record alongside Cy.
  • Learns from each run and logs what worked, so repeated jobs compound rather than starting from scratch each cycle — the vendor's outbound example shows it updating a playbook automatically.
  • Multi-modal Super Agents handle discrete output types — documents, slides, sheets, podcasts, video — in a single workflow, so you avoid the manual reformatting loop that eats hours after every research pass.
  • The vendor states outputs include citations, which means analysts and academics get a deliverable they can actually defend, rather than a fluent draft they have to re-source from scratch.
  • Task-specialized agent architecture means each output type has a dedicated agent rather than a single generalist, so domain-specific formatting conventions are more likely to hold across output types.
  • Free tier entry point with daily credits lets a team validate the agent's output quality against their specific use case before committing budget — avoiding the scenario where you discover the tool breaks on your content type after a paid contract.
  • End-to-end workflow design — from research query to finished deliverable — means the handoff between research and production is handled inside the platform, reducing the number of tools a team has to coordinate.
Cons
  • Plain-English instructions are the only control layer, so when a job hits an exception — a disputed invoice, a prospect who asked to be removed, an escalation that needs a different tone — there is no rule to write and no branch to configure. The task either runs incorrectly or Cy stops and waits. Teams with high exception rates will spend more time correcting outputs than they saved by delegating.
  • There are no approval gates before Cy acts in live systems. If an outbound sequence goes to the wrong segment or an invoice is chased incorrectly, the action has already happened in HubSpot, Amplemarket, or your inbox before you see the thread summary. Teams that need to review before anything ships in a customer-facing context will need a different architecture — one that surfaces a draft and waits for sign-off.
  • No self-hosted option exists, which is a hard stop for organizations under data residency requirements or in regulated industries where customer data cannot leave a specific environment. Teams in those categories move to a self-hostable alternative regardless of how well the workflow fits.
  • The daily credit cap on the free tier blocks any realistic production workflow: a consultant running three or four research-to-deck tasks in a morning exhausts the allocation before lunch, forcing a choice between upgrading or stopping work mid-sprint.
  • No self-hosted option exists. Any team operating under data residency requirements, healthcare data rules, or enterprise security policies that prohibit third-party cloud processing cannot use the platform at all — they move to a self-hostable alternative regardless of output quality.
  • Complex agent coordination — branching based on what one agent returns before triggering the next — is not described as a configurable capability on the vendor's current surface. Teams that need conditional logic across agent steps are building that layer themselves outside the platform.
  • The platform launched publicly in May 2025, meaning production reliability data, edge-case failure documentation, and community-reported workarounds are thin. Teams making a tooling decision with a six-month roadmap are betting on a product with a short public track record.
Bottom line

Cy and Skywork are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between Cy and Skywork?

Cy is Paid, while Skywork is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Cy better than Skywork?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Cy vs Skywork: which should I pick?

Pick Cy if its pricing model, openness, or platform fit matches your constraints; pick Skywork otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.