Predictable plans for teams that need to budget
Agentuity's pure metered pricing is flexible, but hard to forecast. Connic's flat plans give finance a number — and ship with the connectors (Kafka, SQS, Stripe, Postgres, Email) you'd otherwise build yourself.
Feature Comparison
See how Connic stacks up against Agentuity across key capabilities.
Pricing Model
Flat tier pricing
Connic: $0 / $390 / $2,499 / $7,999 flat. Agentuity is pure usage-based with no tiers — $5 in free credits, then metered ACU / storage / bandwidth.
Predictable monthly bill
Connic's base plan is flat; overage is a known per-minute / per-run rate. With Agentuity the whole bill is variable by usage shape.
Transparent per-unit rates
Both publish their units. Agentuity: per-ACU compute, $0.20/1K storage commands, $0.03/GB bandwidth, $0.014/GB storage. Connic: per-minute, per-run.
Free tier
Connic Free: 200 runs / 100 min / 3 connectors. Agentuity: $5 in one-time free credits.
Product Scope
Agent-native platform
Both position as purpose-built for agents — shape-for-shape the closest positioning in this tier.
YAML-based agent config
Connic's declarative YAML config is a first-party workflow. Agentuity's public material doesn't describe a declarative config format.
Declared language / framework support
Connic is Python-first. Agentuity's public pricing and positioning pages don't publish a language / framework list.
Integrations & Triggers
Webhook triggers
Native in Connic. Agentuity exposes APIs and sandboxes; trigger wiring is left to the developer.
Cron scheduling
Native cron connector in Connic. Agentuity's public pricing doesn't surface a managed scheduler.
Message queues (Kafka, SQS)
First-party connectors in Connic. With Agentuity, queue integration is your code.
Email triggers
Native email connector in Connic. Not surfaced on Agentuity's pricing page.
Stripe event triggers
Native Stripe connector in Connic. Agentuity requires a custom webhook handler.
Postgres connector
Native Postgres triggers and actions in Connic. Agentuity offers KV / vector / object storage primitives.
Storage & State
Vector storage
Both include vector storage. Agentuity bills storage commands at $0.20/1K.
Key-value storage
Both offer KV storage for agent state.
Object / blob storage
Connic has a first-party S3 connector; Agentuity exposes object storage commands.
Storage included in base plan
Connic bundles storage into plan tiers. Agentuity meters each storage command.
Observability & Compliance
Tracing and run history
Both include observability.
EU AI Act readiness content
Connic publishes EU AI Act compliance material first-hand. Agentuity's public content is lighter on regulated-use guidance.
Why teams choose Connic
Key advantages that make Connic the better choice for production AI agents.
The Bottom Line
Agentuity and Connic occupy the same shape — managed, purpose-built agent platforms. Pick Agentuity if you want pure metered flexibility. Pick Connic if you want predictable plans, built-in connectors, and a mature compliance story.
Use Connic when
- You need finance / procurement to approve a predictable monthly number
- You want enterprise connectors (Kafka, SQS, Stripe, Postgres, Email) without writing glue
- You prefer declarative YAML agent config over code-only setup
- You care about EU AI Act / compliance readiness content
- You want storage bundled into plans rather than metered per command
Use Agentuity when
- Your workload is highly variable and pure metered pricing favours you
- You prefer a compute-first pricing model over plan tiers
- You only need a minimal platform surface (compute + basic storage)
- You're an early-stage team running on the $5 free credits
- You don't need first-party enterprise connectors
Compare Connic to other platforms
Evaluating alternatives? These head-to-head comparisons cover the other platforms most teams consider.
Connic vs Trigger.dev
Open-source, git-first background job platform now shipping AI Agents and Realtime support. Great if jobs are your core; agents need memory and evals out of the box.
Connic vs LangChain
Open-source LLM framework with 600+ integrations. Great building blocks, but requires self-hosting and DevOps work.
Connic vs AutoGen
Microsoft's multi-agent conversation framework. Powerful for research, but no production hosting included.
Connic vs CrewAI
Role-based agent orchestration with YAML config. Similar approach, but Connic adds enterprise connectors and hosting.
Connic vs Self-Hosting
Running agents on your own Kubernetes or cloud infrastructure. Full control, but full DevOps burden.
Connic vs Zapier AI
No-code automation with AI chatbots. Great for simple use cases, but limited for production AI agents.