Agentic Index
AIsa vs Jetty (2026)
Both sit between agents and the resources they consume, at 7 and 7.5 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Jetty proxies more than a hundred model providers behind one OpenAI compatible endpoint, runs autonomous agents in isolated sandboxes from markdown runbooks and applies evaluation loops with full trajectory tracing. AIsa is a unified resource and payment gateway letting agents discover, access and pay for models, APIs, data and compute through one programmable interface, with usage based billing settled in fiat or stablecoins. Jetty runs your agents; AIsa lets them buy what they need, including from vendors you never contracted with.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. AIsa and Jetty are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose AIsa if
- Agents autonomously paying for resources is the model you are building toward.
- Discovery of models, APIs and data beyond what you pre integrated is the point.
- Settlement in fiat or stablecoins fits the transaction model you expect.
Choose Jetty if
- Documented coverage is slightly broader and running agents is the immediate need.
- Markdown runbooks as the agent definition is a format your team can maintain.
- Trajectory tracing and evaluation loops are how you intend to keep quality up.
| At a glance | AIsa | Jetty |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Usage based, pay per call with complimentary starting credits; per model and per endpoint rates published, settled in fiat or stablecoins | Not publicly listed |
| Free / trial | Complimentary starting credits, then pay per call | Not documented |
| Pricing confidence | public partial | contact only |
| Feature | A AIsa |
J Jetty |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Partial |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Partial | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Partial | No / Not documented |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Partial | No / Not documented |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Partial | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
No / Not documented | No / Not documented |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A AIsa |
J Jetty |
|---|---|---|
|
Entry price Lowest public entry point |
Usage based, pay per call with complimentary starting credits; per model and per endpoint rates published, settled in fiat or stablecoins | Not publicly listed |
|
Pricing confidence How public the numbers are |
Public, partial | Contact only |
|
Billing Primary billing axis |
usage, per call metered across models, APIs, data, and compute, settled in fiat or stablecoins | — |
|
Variable cost Workload / overage exposure |
High variable cost | High variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Self-serve | Mixed |
Other matchups in agent infrastructure platforms
Not the pairing you were after? These compare a different set of agent infrastructure platforms on the same 14 capabilities.