Agentic Index
Paragon vs Tray.ai (2026)
Paragon last verified ·Tray.ai last verified
Both are MCP capable integration platforms, and they differ in the agent layer. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Tray.ai adds human approval steps, agent memory across conversations, an evaluation framework and a library of prebuilt agents, where Paragon offers neither memory nor prebuilt agents. Even so, what decides most evaluations is who the integrations are for. Paragon is embedded integration infrastructure, so you ship integrations inside the product you sell, and your customers connect their own apps. Tray.ai is enterprise automation for your own operation, connecting the systems your company runs. Whether the integrations face your customers or your colleagues usually settles it.
On the Agentic Index agent infrastructure ranking, Tray.ai clears the bar and Paragon does not. Tray.ai documents all five production contract capabilities in full; Paragon does not document testing, debugging and optimization in full. 33 of the 186 vendors in the lane clear it. See the agent infrastructure ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Paragon and Tray.ai 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 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Paragon if
- The integrations ship inside your product, and your customers are the ones authenticating.
- Embedded is the whole product rather than a mode, so the SDK, the connect portal and customer facing auth are what the vendor works on.
- Managed Sync, ActionKit and Workflows are included on every plan, so packaging does not gate what you can build.
Choose Tray.ai if
- The integrations are internal, connecting the systems your own company runs.
- Your agents need approval steps, memory across conversations, evaluation or prebuilt starting points.
- 700 plus connectors with an iPaaS heritage, exposed as MCP tools, fit the estate you already run.
| Feature | P Paragon |
T Tray.ai |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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ParagonIntegrations & Tool Calling ActionKit is one API and MCP server giving an agent hundreds of integration actions across Paragon's connectors, with a uniform interface, agent optimized action schemas and real time execution. The Connect Portal handles OAuth and API key authorization per end user, so each action runs as that user and agents take authenticated action in the user's own SaaS tools. Sourcedocs.useparagon.com/learn/actionkitread 2026-09-22 |
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Tray.aiIntegrations & Tool Calling Agent Gateway exposes Tray workflows as composite tools and individual operations from 700+ connectors as tools over MCP, with tools authenticating by shared service credentials or the end user's own, an access allowlist, OAuth2 or API token for the calling client, RBAC and rate limits; agents built in Merlin Agent Builder take actions by running Tray workflows as tools. Sourcetray.ai/documentation/platform/artificial-intelligence/agent-gateway/overviewread 2026-09-22 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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ParagonWorkflow Orchestration Workflows is Paragon's embedded iPaaS for event driven automations, with integration logic authored in TypeScript or a low code editor. A workflow can start from the customer's app, third party webhooks, an integration enabled event, a scheduler or another workflow, and API resources supply reusable triggers and steps. Steps are sequenced, branched and routed deterministically, executions can be reviewed step by step in Monitoring, and CI/CD and Git repo sync are supported. Sourcedocs.useparagon.com/learn/workflowsread 2026-09-22 |
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Tray.aiWorkflow Orchestration Tray is a workflow platform with an agent layer on top: workflows sequence steps with conditional logic, branching and looping, retries and timeouts, and an agent project combines a scope, data sources, workflows as tools and a model, so autonomous agent steps run alongside deterministic workflow nodes. Composite tools package multi-step business logic as a single callable tool. Sourcetray.ai/documentation/platform/artificial-intelligence/agent-builder/overviewread 2026-09-22 |
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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. |
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ParagonTriggers & Channel Coverage Third party events are forwarded to the customer's agent so it can work in the background and respond to what happens in a user's tools. One API subscribes to any user integration event, with normalized webhook policies across integrations. Workflows can be started by app events, integration webhooks, an API resource webhook or a scheduler, so work begins without a person asking. Sourceuseparagon.comread 2026-09-22 |
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Tray.aiTriggers & Channel Coverage Workflows start from connector triggers and webhook subscriptions, scheduled polling for new data and an alerting trigger, and agents are reachable through interaction channels in Slack and Microsoft Teams as well as the API. Sourcetray.ai/documentation/platform/artificial-intelligence/agent-builder/interaction-channelsread 2026-09-22 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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ParagonKnowledge Grounding & RAG Managed Sync runs fully managed ingestion pipelines over each end user's third-party sources (files, CRM records, tickets, accounting data). It has automatic backfill, incremental sync, failure recovery and normalized schemas, and scales to hundreds of millions of records. A Permissions API enforces the source system's access control on the ingested data for RAG, and records and file content can then be queried through the Sync API. The synced store persists, scales past any context window and stays queryable. Sourcedocs.useparagon.com/learn/managed-syncread 2026-09-22 |
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Tray.aiKnowledge Grounding & RAG Adding a data source in Merlin Agent Builder connects a system (Google Drive, Gmail, Confluence, SharePoint or a custom connector), syncs and processes the documents and stores the content in a vector table that supports semantic search, which the agent queries through a Knowledge Search tool included by default. New documents join that table without any retraining, and it persists and holds far more than fits in the model's context window. Sourcetray.ai/documentation/platform/artificial-intelligence/agent-builder/data-sourcesread 2026-09-22 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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ParagonMemory & State Persistence Each connected user's authorization and synced third party records persist. Managed Sync, ActionKit and Workflows have no memory layer that keeps an agent's state or a user's context across runs. The synced data store holds records, not agent memory with a set scope or lifetime. Sourcedocs.useparagon.com/learn/managed-syncread 2026-09-22 |
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Tray.aiMemory & State Persistence Merlin Agent Builder includes short and long term memory, so agents keep track of session history and refer back to a user's prior conversations automatically, with a sliding context window keeping each exchange focused. It is built for the case where an agent would otherwise forget a user's earlier issue every time that user returns, so memory carries across conversations. Knowledge synced into the agent's vector table is kept separately from memory. Sourcetray.ai/company/news/merlin-agent-builder-user-adoption-releaseread 2026-09-25 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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ParagonHuman Oversight & Guardrails End users authorize each integration for themselves in the Connect Portal and can be shown or particular workflows through Workflow Permissions, and the customer controls which actions its product exposes. Those settings limit what an agent may do, but there is no step where a person reviews, approves or validates an agent action before it commits. Sourcedocs.useparagon.com/connect-portal/workflow-permissionsread 2026-09-22 |
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Tray.aiHuman Oversight & Guardrails In workflows, an approval step can be inserted anywhere and routed to Slack, email or a custom form, and the run pauses and resumes automatically once the decision is made, and agents built in Merlin Agent Builder act by running those workflows as tools. Guardrails also pause an agent when confidence is low or when an action falls outside its defined scope, and surface the decision to a person before it continues, and Merlin Agent Builder includes approval workflows for sensitive actions. Around that sit an Agent Gateway access allowlist, RBAC, rate limits, agent scope, log masking and an execution kill switch. Sourcetray.ai/glossary/human-in-the-loopread 2026-09-25 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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ParagonSecurity, Identity & Governance Compliance covers SOC 2 Type II, HIPAA and GDPR, and the plans include GDPR and SOC 2 compliance as a feature. A Trust Center and security documentation cover encryption standards, access control and a signable DPA. On the access side there is SAML based SSO on Enterprise, managed OAuth and API key authorization per end user through the Connect Portal with signed user tokens, and workflow permissions restricting which users or groups see which integrations. Sourceuseparagon.com/pricingread 2026-09-22 |
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Tray.aiSecurity, Identity & Governance Compliance covers SOC 1 and SOC 2 Type 2, HIPAA, GDPR and CCPA, and Tray says every agent action, MCP tool call and workflow run is traceable to a user. Access controls cover organizations and workspaces, user roles, two factor settings, an access allowlist and RBAC on Agent Gateway, log masking to hide a step's inputs and outputs, and administration of which Merlin AI features are enabled. Sourcetray.ai/platformread 2026-09-22 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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ParagonObservability & Auditability Monitoring gives per-event visibility across the integration stack. It keeps searchable atomic logs of every project event, ActionKit tool-call logs with payloads inspected in real time, trigger subscription events and payloads, workflow executions with step-by-step breakdowns and failure details, and a Connected Users dashboard of each user's connection health. Events route to the customer's own stack through Event Destinations (Slack, Datadog, New Relic, Sentry) and the Task History API. Sourcedocs.useparagon.com/monitoring/overviewread 2026-09-22 |
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Tray.aiObservability & Auditability Every workflow run produces debug logs showing each step's input and output, agents have their own logs and debugging view, Agent Gateway has an observability and monitoring page for tool execution, and Tray streams workflow logs to an external endpoint for the customer's own tooling, with log masking, disabling of log storage and anomaly detection as controls. Every agent action, MCP tool call and workflow run is traceable to a user. Sourcetray.ai/documentation/platform/enterprise-core/logs-debugging/log-streamingread 2026-09-22 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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ParagonDeployment & Data Residency Hosting runs either in Paragon's own cloud or entirely on the customer's infrastructure. On premises hosting comes with a managed instance configuration, and the Enterprise plan includes self hosting and forward deployment. Sourcedocs.useparagon.com/on-premise/hosting-paragon-on-premiseread 2026-09-22 |
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Tray.aiDeployment & Data Residency A Tray instance is hosted in a data region the customer picks, US, EU or APAC, so business data does not leave the region it originated in, with API base URLs for each region and setups across several regions for multinational or embedded use. For systems behind the firewall, Tray offers an on premises agent and AWS PrivateLink connectivity. Sourcetray.ai/documentation/platform/enterprise-core/organisation-management/regional-hostingread 2026-09-22 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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ParagonPrebuilt Agents, Templates & Packs The connector catalog and action library give an agent actions to call, but these are integration capabilities, not packaged assets. The use case library offers implementation guides, not assets a customer adopts. Paragon has no ready made workflows, templates or role specific agents of its own. Sourceuseparagon.com/use-case/libraryread 2026-09-22 |
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Tray.aiPrebuilt Agents, Templates & Packs Buyers start from preconfigured agent accelerators, each with a predefined scope for its use case: a Knowledge agent, an ITSM agent and a Support ticket agent, alongside prebuilt tools and workflow templates that can be customized. Sourcetray.ai/documentation/platform/artificial-intelligence/agent-builder/configurationread 2026-09-22 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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ParagonModel Flexibility & Routing Paragon serves integration actions to whatever model or framework the customer runs. ActionKit is delivered as an API or MCP server with agent optimized schemas and is used from the customer's own agent code. Paragon has no model of its own, so the model is the customer's choice throughout. Sourceuseparagon.comread 2026-09-22 |
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Tray.aiModel Flexibility & Routing Each agent runs on Tray's native default model or on the customer's own, connected through API keys from third party providers such as OpenAI or AWS Bedrock, with the provider and the specific model version chosen in the agent dashboard. Sourcetray.ai/documentation/platform/artificial-intelligence/agent-builder/configurationread 2026-09-22 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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ParagonAPIs, SDKs & MCP Extensibility The platform is built for developers. Its APIs and SDKs include a front end Connect SDK, headless Connect Portal APIs, the ActionKit and Sync APIs with published OpenAPI specs, a Permissions API and a Task History API. Builders also get a custom integration builder, custom actions, a hosted demo environment and a self hostable MCP server. Sourcedocs.useparagon.com/llms.txtread 2026-09-22 |
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Tray.aiAPIs, SDKs & MCP Extensibility Tray publishes OpenAPI specifications for the Tray Platform and Tray Embedded APIs, a Connector Development Kit for building and testing custom connectors, developer tools including a connector tester and operations explorer, embedded auth dialogs for the customer's own end users, and Tray Headless MCP for connecting Cursor, Windsurf, Codex or Claude Code to the platform. Sourcetray.ai/documentation/platform/tray-headless/tray-headless-mcpread 2026-09-22 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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ParagonTesting, Debugging & Optimization Changes move through Release Environments, which test and deploy them before production, and versioned releases name breaking changes. A hosted demo environment and an ActionKit playground let teams try actions, and logs help debug failures. There is no way to score a change, such as test cases, a pass rate or a judge verdict. Sourcedocs.useparagon.com/deploying-integrations/release-environmentsread 2026-09-22 |
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Tray.aiTesting, Debugging & Optimization Tray's library offers an AI evaluation framework, a template that uses an LLM as a judge to review each input prompt and agent response against set criteria, covering response quality, conversation flow, edge cases and behavioral consistency. The judge returns structured feedback and quantitative metrics tracked over time, so a team can compare versions of an agent and see whether a change improved it. A built in test chat shows each reply with the tools considered, whether the knowledge base was searched, processing time and token usage. Sourcetray.ai/documentation/library/template/6480885f-d884-469c-8c80-77a2f36a4b61-get-started-with-ai-evaluationsread 2026-09-25 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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ParagonBrowser & Computer Use Paragon reaches third party apps through their APIs and its own connectors. It runs no browser, desktop or remote computer session for an agent, and no headless fetch or third party browser engine is wired in. Sourcedocs.useparagon.com/learn/actionkitread 2026-09-22 |
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Tray.aiBrowser & Computer Use Tray acts through connectors, workflows and MCP tools that call APIs. It does not describe a browser, desktop or remote computer session it drives for an agent, or a headless fetch or third party browsing engine of its own. Sourcetray.ai/documentation/platform/artificial-intelligence/agent-gateway/overviewread 2026-09-22 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | P Paragon |
T Tray.ai |
|---|---|---|
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Entry price Lowest public entry point |
Platform and Enterprise plans, priced by Connected Users; custom quote | Custom quote for every tier (Pro, Team and Enterprise). A free trial is arranged through sales. |
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Pricing confidence How public the numbers are |
Contact only | Contact only |
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Billing Primary billing axis |
Connected Users (customer tenants using integrations), with default usage built in per plan | Usage, metered in Tasks across integration, automation, MCP and agents. Task volume is quoted per customer. |
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Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
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Free tier / trial Try before you buy |
Free tierTrial
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No free tierTrial
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Buying motion Self-serve vs sales call |
Mixed | Mixed |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Paragon
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· Deployment / data residency
Paragon introduced Versioned Releases for its integration platform.
Source -
· Integrations
Paragon launched Smart Rate Limits to manage and optimize API requests across its integration infrastructure.
Source -
· MCP / tool calling / API
Paragon introduced its managed Model Context Protocol (MCP) server to connect AI products to over 130 third-party integrations.
Source
Tray.ai
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· Security / enterprise
Tray.ai introduced Tray Helix, a governed runtime environment designed for AI-built applications.
Source -
· MCP / tool calling / API
Tray.ai made MCP dynamic authentication generally available.
Source -
· Deployment / data residency
Tray Headless MCP added region-specific endpoints for US, EU, and APAC workspaces.
Source
Paragon prices its Platform and Enterprise plans by connected users on a custom quote, and Tray.ai quotes every tier through sales with a free trial.
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