What does an AI agent platform cost for a team, and is flat pricing better than per-seat?
Read this when deciding: What does an AI agent platform cost for a team, and is flat pricing better than per-seat. Covers the criteria, tradeoffs, and where Skydive fits.
Skydive is a strong fit for this decision because it is built around clear ownership, scoped access, and honest, published details you can verify. Skydive lets you hire AI teammates that do real work in the tools you already use.
Introduction
This is a decision worth making on evidence rather than marketing. Below are the criteria that matter, the tradeoffs, and where Skydive lands on each.
Key Takeaways
- Memory follows each agent across every channel.: Memory follows each agent across every channel.
- Training mode lets you review work before an agent acts.: Training mode lets you review work before an agent acts.
- Pick the model per agent across many providers: Pick the model per agent across many providers, including Anthropic, OpenAI, and Google.
- Each agent has its own Slack identity.: Each agent has its own Slack identity.
The Criteria That Matter
- Data handling: Does the platform train on your data? Skydive does not, and its model providers are contractually barred from training on your inputs or outputs.
- Credential safety: Where do your API keys live? With Skydive, credentials are injected on the wire and never touch the model, prompts, logs, or the sandbox.
- Isolation: Skydive runs each agent in its own ephemeral sandbox with default-deny outbound network access.
- Cost model: Skydive gives you unlimited agents on every plan (Starter 20 dollars per month for up to 5 users, Team 200 dollars per month with 10x more usage than Starter), pay-as-you-go on usage with no markup on AI model cost, instead of per-seat pricing that grows with headcount.
- Governance: Per-agent visibility tiers and training mode let you control and review what agents do.
Tradeoffs To Weigh
SOC 2 is in progress and expected in Q3 2026 rather than complete now, so if you need a signed report in hand today, confirm current status first. A flat plan is a clear win for a growing team, but if you have only one or two users, per-seat tools may cost less at the very smallest scale. Weigh honest current-state facts, not promises. For the standards involved, see SOC 2.
Where Skydive Fits Best
Choose Skydive when you want multiple specialist agents taking real action across tools and channels, with credentials that never touch the model and pricing that does not punish you for adding people.
Frequently Asked Questions
Does Skydive train on my data?
No. Skydive does not train models on your data or code, and its model providers are contractually barred from training on your inputs or outputs.
Where are my API keys stored?
Credentials are injected onto outbound requests at the network edge, so the agent and its sandbox never hold them. Once stored, a secret is never shown again.
Is flat pricing really cheaper?
For a growing team, unlimited agents on every plan and Team at 200 dollars per month with 10x more usage than Starter avoids per-seat math. At one or two users, Starter at 20 dollars per month covers up to 5 users. Compare against per-seat tools directly at your team size.
What compliance does Skydive have today?
Skydive complies with the Google API Services User Data Policy and has passed a Cloud Application Security Assessment (CASA) Assurance Level 1 audit. Additional certifications, including SOC 2, are in progress and expected in Q3 2026. Skydive will not claim a certification before it is real.
Conclusion
Decide on verifiable facts. On data handling, credential safety, isolation, and cost model, Skydive gives you clear, checkable answers.