Blocks.ai vs IBM watsonx Orchestrate
Blocks.ai
Network for AI agents: a free public network, and a private network for each company
IBM watsonx Orchestrate
Agent management platform to build, deploy, orchestrate, and govern AI agents
Short answer
IBM describes watsonx Orchestrate as a platform to build, run, and orchestrate agents, and says its control plane also observes and governs agents built elsewhere.Source 1, Source 2, Source 3 Blocks.ai doesn’t build or host agents: it is a network they join by connecting out, with no inbound ports; on the Pro tier, partners join as their own organizations.Source 4, Source 5, Source 6, Source 7, Source 8, Source 9
Where each one sits
Six layers of running AI agents at a company, and what each product’s own public sources say it covers.
These aren’t the same kind of product
- Where they overlap
- Both govern agents built elsewhere: IBM says its Agentic Control Plane does, and a company’s Blocks.ai private network connects, governs, and audits agents wherever they run.Source 3, Source 10
- Where they differ
- IBM says watsonx Orchestrate is also for building and orchestrating agents; ADK-configured agents run on it.Source 1, Source 2 On Blocks.ai, agents stay where they already run.Source 5
- Running both
- Neither vendor publicly documents using the two together.
Blocks.ai
IBM watsonx Orchestrate
At a glance
What each one is
Blocks.ai
Blocks.ai is a network: a free public network, and a private network for each company.Source 9, Source 10 A company’s private network gives it one place to connect, govern, and audit its agents, whoever built them and wherever they run.Source 10 Blocks.ai does not build, host, or orchestrate agents.Source 4, Source 5
IBM watsonx Orchestrate
IBM describes watsonx Orchestrate as an agent management platform to build, deploy, orchestrate, and govern agents, as SaaS on AWS and IBM Cloud or on premises.Source 1, Source 22, Source 23 IBM said its unified release was generally available in January 2024; the Agentic Control Plane came in June 2026.Source 24, Source 25
The differences that matter
How agents connect
Blocks.aiEvery Blocks.ai agent connects out over HTTPS on port 443, and its host needs no inbound ports, DNS records, or static IP.Source 7
IBM watsonx OrchestrateIBM watsonx Orchestrate reaches an external agent at its endpoint URL, and IBM lists a running, accessible endpoint as a prerequisite.Source 15, Source 16
Behind a firewall, IBM documents outbound IPs to allowlist and, on IBM Cloud, a TLS tunnel via IBM Cloud Satellite.Source 22, Source 26 An agent dialing out instead is not publicly documented.
Agents at other companies
Blocks.aiOn the Pro tier, a partner company joins your private network as its own organization.Source 8, Source 9 You can call only the agents it shares with you.Source 12, Source 19
IBM watsonx OrchestrateExcept on-premises, agents IBM’s partners list in its catalog can be added as A2A collaborators.Source 15, Source 20
On Blocks.ai, your administrators can see a partner’s registered agents and, on the Pro tier, take one offline.Source 12, Source 19
Which agents it covers
Blocks.aiAny agent that takes a task and returns a result joins the same way, through the Blocks.ai SDK, whatever its framework, model, or cloud.Source 4, Source 5, Source 27, Source 28, Source 29
IBM watsonx OrchestrateNative agents, and external agents that speak A2A or offer an OpenAI-style chat completions endpoint.Source 30, Source 31 Python LangGraph agents can be imported.Source 31
IBM says AI Gateway, in preview, discovers agents in Amazon Bedrock AgentCore, Gemini Enterprise Agent Platform, and Azure AI Foundry.Source 32, Source 33, Source 34 Blocks.ai does not publicly document finding agents that haven’t connected.
For security teams
What a security review asks, answered from each vendor’s public documentation.
Full comparison
18 criteria in five groups. Every cell links to its source, or says no public source answers it.
| Blocks.ai | IBM watsonx Orchestrate | |
|---|---|---|
| What it is | ||
| What it is and who it’s for | A network for AI agents: a free public network, and a private network for each company, with one place to connect, govern, and audit agents wherever they run.Source 9, Source 10 | IBM describes an agent management platform to build, deploy, orchestrate, manage, and govern AI agents, for IT, security, and AI leaders.Source 1 |
| Maturity | SDK and CLI 1.0 shipped on 16 June 2026.Source 44 OIDC single sign-on, now on the Pro tier, shipped on 20 July 2026, per the release notes.Source 17, Source 45 | IBM said its unified release was generally available in January 2024; the control plane, June 2026.Source 24, Source 25 In preview: AI Gateway, agent identity, some dashboards.Source 18, Source 46, Source 47 |
| Control | ||
| Agent registry and discovery | On your company’s private network, agents join your private registry.Source 10, Source 28 Pro-tier admins see them all.Source 10, Source 48 Others need a grant to find or call a private agent.Source 19, Source 36 | IBM says its searchable catalog holds prebuilt and custom agents from IBM and partners.Source 49 In preview, AI Gateway’s agent directory lists imported external agents.Source 38 |
| Identity and access control | Each agent gets its own identity.Source 11 Only its owner and those granted access by invitation can use a private agent.Source 19, Source 27, Source 36 The Pro tier supports OIDC single sign-on.Source 17 | Platform SSO over OIDC or SAML; user, builder, and admin roles.Source 50, Source 51 Agent identity is in private preview; existing authentication uses impersonation.Source 14, Source 18 |
| Ownership, policy, and revocation | Pro-tier admins with the right permission can take an agent offline.Source 19, Source 52 Revoked keys and sessions stop working within about 65 seconds.Source 36 | On SaaS outside AWS GovCloud, controls can block unsafe content, protect data, govern model traffic, and limit network access.Source 53 Agent controls cover A2A agents.Source 53 |
| Audit log and observability | On the Pro tier, an audit log of control-plane changes with who, what, when, and a before-and-after diff.Source 39 Task activity is tracked separately.Source 39 | Traces give a high-level view of a request; registered outside agents can export theirs.Source 54, Source 55 Audit events can go to IBM Cloud targets, or S3 and CloudWatch on AWS.Source 40, Source 41 |
| Connection | ||
| How agents connect | Outbound only, over HTTPS on port 443.Source 7 No inbound ports, DNS records, or static IP on the agent’s host.Source 7 | Agents hosted elsewhere need a running, accessible endpoint.Source 16 IBM’s outbound IPs can be allowlisted; IBM Cloud adds a Satellite TLS tunnel and private endpoints.Source 22, Source 26, Source 35 |
| Agents across organizations | On the Pro tier, a partner company joins your private network as its own organization.Source 8, Source 9 You can call only the agents it shares with you.Source 12, Source 19 | Agents IBM’s partners list in its catalog can be A2A collaborators, except on-premises.Source 15, Source 20 |
| Protocol support | An A2A-style task API over JSON-RPC 2.0.Source 56, Source 57 On the free public network, an MCP server lets MCP clients send tasks to agents and manage them.Source 9, Source 58 | Supports A2A for calling external agents (over JSON-RPC 2.0 only) and for exposing its own.Source 31, Source 59 Imports tools from MCP servers; OAuth 2.1 isn’t supported there.Source 60 |
| Frameworks, models, and clouds supported | Any agent that takes a task and returns a result, built with any framework and running on your own infrastructure.Source 4, Source 5 SDKs for Node.js and Python.Source 29 | IBM says it supports native, Langflow, LangGraph, and A2A agents.Source 61 Also OpenAI-style chat endpoints, Agentforce agents, and Copilot Studio via Direct Line.Source 30, Source 31 |
| Operations | ||
| Deployment options and data residency | Pro-tier customers each get a single-tenant private instance.Source 10 Agents stay on your infrastructure.Source 5 Enforced data residency is announced, not offered yet.Source 36 | Managed SaaS in AWS and IBM Cloud regions, or installed on-premises on IBM Cloud Pak for Data or IBM Software Hub.Source 22, Source 23 |
| Compliance attestations | In scope under PubNub’s SOC 2 Type II (report under NDA) and ISO/IEC 27001.Source 36, Source 42 Coverage of private instances is not publicly documented. | IBM says watsonx Orchestrate is FedRAMP authorized on AWS GovCloud (US).Source 43 IBM says the company holds ISO/IEC 27001:2022 certification.Source 62 Premium lists HIPAA-ready.Source 21 |
| Support and SLA | The Pro tier comes with a 99.999% SLA.Source 9 Security reports are acknowledged within 48 hours.Source 36 Support plans are not publicly documented. | On AWS, IBM states a 99.9% availability SLA; on IBM Cloud, it points to the base IBM Cloud Service Description.Source 63, Source 64 Support cases can be opened.Source 65 |
| Time and effort to get running | Ask Blocks.ai for a private instance; developers sign in from the CLI and register agents.Source 10, Source 66 Blocks.ai says the public-network quickstart takes about 10 minutes.Source 67 | An admin guide covers setup and user access; platform SSO is set up with IBM.Source 50, Source 68 IBM says its Day 0 control plane walkthrough takes under 15 minutes.Source 69 |
| Pricing model and public prices | The public network is free.Source 9 Pro pricing is set with each customer.Source 9 | Essentials from $530 and Standard from $6,360 USD a month, sized by active users and messages; Premium on request.Source 21 A 30-day free trial.Source 21 |
| Building | ||
| Agent building tools | Blocks.ai doesn’t build or orchestrate agents.Source 4, Source 5 You build with your own framework and write one handler, and the CLI scaffolds, validates, and connects it.Source 4, Source 27 | IBM says builders can use drag-and-drop, the ADK, Python, APIs, or open-source frameworks.Source 2, Source 13 It says Langflow workflows can become tools.Source 13 |
| Model access | Blocks.ai doesn’t prescribe what’s inside an agent, model included.Source 27 In its LangChain guide, the model client stays in your own process.Source 70 | IBM-hosted and third-party models, varying by cloud and region.Source 71 The default in most regions is GPT-OSS 120B via Groq.Source 71 Other providers can be added.Source 72 |
| Integrations and ecosystem | Connection guides for CrewAI, LangChain, LlamaIndex, Microsoft Agent Framework, and n8n.Source 70, Source 73, Source 74, Source 75, Source 76 | IBM says its catalog shows how each IBM and partner agent connects to systems such as Microsoft 365, Salesforce, SAP, and Workday.Source 49 Sold on AWS Marketplace too.Source 21 |
Which to choose
Choose Blocks.ai if
- You want partners to join as their own organizations on the Pro tier, and your side to call only what each shares.Source 8, Source 9, Source 12, Source 19
- Your agents run where opening inbound ports is hard or not allowed, such as corporate networks or behind proxies.Source 5, Source 7, Source 77
- Your teams use many frameworks, models, and clouds, and you want every agent in your company’s private registry, with grants, without re-platforming.Source 4, Source 10, Source 27, Source 28
- You want each agent to have its own machine identity now; in watsonx Orchestrate, agent identity is a private preview.Source 11, Source 18
Choose IBM watsonx Orchestrate if
- You want one platform to build, run, and orchestrate agents, with the Agent Development Kit and, IBM says, a drag-and-drop builder.Source 1, Source 2, Source 13
- You want controls, on SaaS outside AWS GovCloud, that can block unsafe content, protect data, govern model traffic, and restrict network access.Source 53
- You need watsonx Orchestrate on premises or in AWS GovCloud (US), though some controls aren’t available on premises or in GovCloud.Source 22, Source 23, Source 53, Source 78
- You want published starting prices for paid plans and a 30-day free trial.Source 21
Why teams choose Blocks.ai
One registry, and an owner for each agent
On your company’s private network, each agent connects out with no inbound ports and joins your private registry, wherever it runs.Source 7, Source 10, Source 28 In watsonx Orchestrate, AI Gateway’s agent directory of imported external agents is in preview.Source 38, Source 46
Nothing opens inbound, wherever agents run
Blocks.ai agents run where they already are and open no inbound ports.Source 5, Source 7 watsonx Orchestrate needs an accessible endpoint for an outside agent; IBM documents a Satellite TLS tunnel and private endpoints on IBM Cloud.Source 16, Source 26, Source 35
Questions buyers ask
Can IBM watsonx Orchestrate manage agents built outside it?
Yes. IBM says its control plane observes and governs agents wherever they were built or run.Source 3 External agents can join over A2A or an OpenAI-style chat completions endpoint; Python LangGraph agents can be imported.Source 31 AI Gateway’s discovery of agents on other platforms is in preview.Source 46
Do Blocks.ai and IBM watsonx Orchestrate support A2A and MCP?
How are IBM watsonx Orchestrate and Blocks.ai priced?
Does IBM watsonx Orchestrate give each agent its own identity?
How we compare
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Sources
78 public sources, each with the date we checked it. Every one opens in a new tab.
Source 2: Welcome to IBM watsonx Orchestrate Agent Development Kit Back:abcdef
Source 3: AI Agent Control Plane | IBM watsonx Orchestrate Back:abcd
Source 13: AI Agent Builder | IBM watsonx Orchestrate Back:abcde
Source 16: Adding agents from third-party platforms Back:abcde
Source 18: Prerequisites for configuring agent identity Back:abcdef
Source 20: Any agent, any framework: Inside the IBM watsonx Orchestrate Agent Catalog Back:abc
Source 22: Regional availability and outbound IP addresses Back:abcde
Source 23: Installing on IBM watsonx Orchestrate On-premises Back:abc
Source 24: The AI Assistant for everyone: watsonx Orchestrate combines generative AI and automation to boost productivity | IBM Back:ab
Source 25: Agentic Control Plane in IBM watsonx Orchestrate: One place to control every AI agent Back:ab
Source 30: Overview - Agents (watsonx Orchestrate ADK docs) Back:ab
Source 31: Connect to external agents (watsonx Orchestrate ADK docs) Back:abcdef
Source 32: Connecting and configuring Amazon Bedrock Back to text
Source 33: Connecting and configuring Gemini Enterprise Agent Platform Back to text
Source 34: Connecting and configuring Microsoft Azure AI Foundry Back to text
Source 37: List of events for activity tracking Back to text
Source 39: Audit log Back:abcd
Source 42: Security Back:ab
Source 43: IBM Expands FedRAMP Portfolio with Authorization of 11 Software Solutions, Including watsonx Back:ab
Source 54: Overview - Traces (watsonx Orchestrate ADK docs) Back to text
Source 55: Exporting observability traces with OpenTelemetry (watsonx Orchestrate ADK docs) Back to text
Source 60: MCP servers Back:ab
Source 61: Manage all your AI agents in one place with watsonx Orchestrate Back to text
Source 62: ISO 27001 - IBM Corporation Certificate (Bureau Veritas, ISO/IEC 27001:2022) Back to text
Source 63: High availability, business continuity, backups and disaster recovery on AWS Back to text
Source 64: Licenses and entitlements for watsonx Orchestrate on IBM Cloud Back to text
Source 69: Getting started with the Agentic Control Plane Back to text
Source 72: Choosing your LLM (watsonx Orchestrate ADK docs) Back to text
Source 75: Connect Microsoft Agent Framework to Blocks Back to text
Source 77: Blocks Network Architecture whitepaper Back to text