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Dust

Dust is a Paris-based enterprise AI platform for building, deploying, and operating teams of AI agents that have shared context across a company's knowledge and tools. Dust positions itself as the platform for "AI Operators" — the people who design, govern, and continuously improve agentic workflows across Sales, Customer Support, Marketing, Engineering, Data & Analytics, IT, Legal, Recruiting, and Knowledge teams. Agents in Dust are model-agnostic (OpenAI, Anthropic, Google, Mistral), grounded on company data through 100+ connectors (Slack, Notion, GitHub, Google Drive, Salesforce, Zendesk, Jira, Confluence, HubSpot, BigQuery, Snowflake), exposed via a REST API, MCP servers (client- and server-side), webhooks, and OAuth2, and reachable from a multiplayer conversation UI, Slack, a Chrome extension, a Raycast extension, and a CLI. The Dust core platform is open source under the MIT license at github.com/dust-tt/dust. The hosted service is available on a per-seat Pro plan (29 EUR / user / month) and a custom Enterprise tier (100+ seats) with SSO, SCIM, dedicated environments, EU residency, and SOC 2 Type II / GDPR / HIPAA-ready compliance.

agent ready

Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.

Kin Score

API Evangelist profiles Dust the way a machine reads it — 57 machine-readable artifacts across 14 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 — Dust scores 76.0/100 (exemplar), with a separate agent-readiness read of 48/100 (agent ready). 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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 76.0/100 · exemplar
Contract Quality 18.6 / 25
Developer Ergonomics 13.0 / 20
Commercial Clarity 15.3 / 20
Operational Transparency 10.3 / 13
Governance 8.8 / 12
Discoverability 10.0 / 10
Agent readiness — 48/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Dust

Each block below is one kind of artifact we hold for Dust. 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 14

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.

Dust Agents API

Agent configurations

Dust Apps API

Dust apps

Dust Conversations API

Conversations

Dust Datasources API

Data sources

Dust DatasourceViews API

Data source views

Dust Feedbacks API

Message feedbacks

Dust MCP API

MCP servers

Scroll within the panel for all 14 ·

Postman Collections 9

A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.

Ready-to-run Postman collections for exercising this provider's APIs.

Scroll within the panel for all 9 ·

Open Collections 9

Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Dust Agents API

OPEN COLLECTION

Dust Apps API

OPEN COLLECTION

Dust Conversations API

OPEN COLLECTION

Dust Data Sources API

OPEN COLLECTION

Dust MCP API

OPEN COLLECTION

Dust Search API

OPEN COLLECTION

Dust Skills API

OPEN COLLECTION

Dust Triggers API

OPEN COLLECTION

Dust Workspace API

OPEN COLLECTION

Scroll within the panel for all 9 ·

Arazzo Workflows 12

Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.

Multi-step API workflows described with the Arazzo specification.

Dust Approve a Pending Agent Tool Action

Start a conversation, wait for the agent to request a tool action, then approve or reject it.

ARAZZO

Dust Attach a File and Ask an Agent

Reserve a file upload URL, attach the file as a content fragment, then ask an agent about it.

ARAZZO

Dust Converse with an Agent

Start a conversation, mention an agent, and poll the conversation until the agent answers.

ARAZZO

Dust Create a Table and Upsert Rows

Upsert a structured table into a data source, then load rows into it and read one back.

ARAZZO

Dust Discover Spaces and Data Sources

List the workspace's accessible spaces, then enumerate the data sources within a chosen space.

ARAZZO

Dust Find Agent and Start a Conversation

Search for an agent by name, resolve its full configuration, then open a conversation mentioning it.

ARAZZO

Dust Import an Agent and Start a Conversation

Create a new agent configuration from a JSON definition, then open a conversation that mentions it.

ARAZZO

Dust Message an Agent and Submit Feedback

Post a message into a conversation, wait for the agent reply, then submit thumbs feedback on it.

ARAZZO

Dust Post Follow-up Message and Poll

Post a follow-up message into an existing conversation and poll the conversation for the agent reply.

ARAZZO

Dust Run an App and Poll for Completion

Trigger a non-blocking Dust app run and poll the run until its status succeeds or errors.

ARAZZO

Dust Suggest a Mention and Start a Conversation

Resolve a mention query into an agent suggestion, then open a conversation that mentions it.

ARAZZO

Dust Upsert a Document and Search the Data Source

Upsert a document into a data source, wait for the upsert queue to drain, then search for it.

ARAZZO

Scroll within the panel for all 12 ·

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Dust Plans Pricing

2 plans

PLANS

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Dust Rate Limits

4 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

Cost, billing, and metering signals for API financial operations.

Dust Finops

FINOPS

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

Dust Context

17 classes · 17 properties

JSON-LD

Spectral Rules 1

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

Dust API Rules

6 rules · 4 warnings

SPECTRAL

JSON Schema 5

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

Dust Agent Configuration

16 properties

JSON SCHEMA

Dust Conversation

1 properties

JSON SCHEMA

Dust Data Source

8 properties

JSON SCHEMA

Dust Document

16 properties

JSON SCHEMA

Dust Skill

22 properties

JSON SCHEMA

Security 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.

Dust Tt Authentication

http · 1 scheme

SECURITY

Dust Tt Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

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.

Dust Tt Agentic Access

64 operations · 32 acting · 1 human-in-the-loop

64 operations · 32 acting

AGENTIC

Resources

Every other property we hold for Dust — 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.

Documentation 3

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Learn 1

Tutorials, courses, talks, and written guidance

Company 3

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/dust-tt · machine-readable index on apis.io