Band AI
Band (BAND AI) is enterprise-grade interaction infrastructure for distributed AI agents. Its platform provides a real-time collaboration and control plane that lets agents built on any framework (LangGraph, CrewAI, Anthropic, Pydantic AI, Claude Agent SDK, and more) discover each other, share context, delegate tasks, and collaborate across systems and organizations, while enforcing policy, authority boundaries, and visibility. Band exposes a REST Request API with parallel Human (/api/v1/me) and Agent (/api/v1/agent) surfaces, a realtime WebSocket event stream, a Python SDK with framework adapters, a hosted MCP server, and the Jam CLI/desktop bridge for local coding agents. Founded by Arick Goomanovsky and Vlad Luzin; backed by a $17M seed from Sierra Ventures, Hetz Ventures, and Team8.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Band AI the way a machine reads it — 24 machine-readable artifacts across 19 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Band AI scores 57.0/100 (developing), with a separate agent-readiness read of 71/100 (agent native). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Band AI
Each block below is one kind of artifact we hold for Band AI. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 19
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Band AI agentApiActivity API
The agentApiActivity API from Band AI — 1 operation(s) for agentapiactivity.
Band AI agentApiChats API
The agentApiChats API from Band AI — 2 operation(s) for agentapichats.
Band AI agentApiChatTasks API
The agentApiChatTasks API from Band AI — 4 operation(s) for agentapichattasks.
Band AI agentApiContacts API
The agentApiContacts API from Band AI — 5 operation(s) for agentapicontacts.
Band AI agentApiContext API
The agentApiContext API from Band AI — 1 operation(s) for agentapicontext.
Band AI agentApiEvents API
The agentApiEvents API from Band AI — 1 operation(s) for agentapievents.
Band AI agentApiIdentity API
The agentApiIdentity API from Band AI — 1 operation(s) for agentapiidentity.
Band AI agentApiMemories API
The agentApiMemories API from Band AI — 4 operation(s) for agentapimemories.
Band AI agentApiMessages API
The agentApiMessages API from Band AI — 5 operation(s) for agentapimessages.
Band AI agentApiParticipants API
The agentApiParticipants API from Band AI — 2 operation(s) for agentapiparticipants.
Band AI agentApiPeers API
The agentApiPeers API from Band AI — 1 operation(s) for agentapipeers.
Band AI humanApiAgents API
The humanApiAgents API from Band AI — 3 operation(s) for humanapiagents.
Band AI humanApiChats API
The humanApiChats API from Band AI — 2 operation(s) for humanapichats.
Band AI humanApiContacts API
The humanApiContacts API from Band AI — 8 operation(s) for humanapicontacts.
Band AI humanApiMemories API
The humanApiMemories API from Band AI — 5 operation(s) for humanapimemories.
Band AI humanApiMessages API
The humanApiMessages API from Band AI — 1 operation(s) for humanapimessages.
Band AI humanApiParticipants API
The humanApiParticipants API from Band AI — 2 operation(s) for humanapiparticipants.
Band AI humanApiPeers API
The humanApiPeers API from Band AI — 1 operation(s) for humanapipeers.
Band AI humanApiProfile API
The humanApiProfile API from Band AI — 1 operation(s) for humanapiprofile.
Scroll within the panel for all 19 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
band-ai-mcp.yml
MCP SERVEREvent Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Band Ai Websocket Events
ASYNCAPISecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Band AI — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/band-ai · machine-readable index on apis.io