Mode
Mode is a collaborative business intelligence and analytics platform that unites data and business teams around a single analytical workflow. Built by analysts for analysts, Mode combines ad hoc SQL exploration, Python and R notebooks, interactive dashboards, self-serve reporting, and custom data applications on top of connected data warehouses. Mode was acquired by ThoughtSpot in 2023 and positions itself as the intelligence layer for the modern data stack. Mode exposes a REST API (documented at its Developer Hub) for programmatic management of workspaces, users, collections, data sources, reports, queries, charts, datasets, definitions, exports, report schedules, and subscriptions. The API uses HTTP Basic authentication with workspace or personal API tokens and returns HAL+JSON, and is available to workspaces on a paid Mode Business plan.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles Mode the way a machine reads it — 15 machine-readable artifacts across 11 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 — Mode scores 44.6/100 (thin), with a separate agent-readiness read of 65/100 (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 Mode
Each block below is one kind of artifact we hold for Mode. 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 11
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.
Mode Account API
The Account API from Mode — 1 operation(s) for account.
Mode Audit Logs API
The Audit Logs API from Mode — 1 operation(s) for audit logs.
Mode Data Sources API
The Data Sources API from Mode — 6 operation(s) for data sources.
Mode Datasets API
The Datasets API from Mode — 8 operation(s) for datasets.
Mode Definitions API
The Definitions API from Mode — 2 operation(s) for definitions.
Mode Groups API
The Groups API from Mode — 4 operation(s) for groups.
Mode Invites API
The Invites API from Mode — 1 operation(s) for invites.
Mode Memberships API
The Memberships API from Mode — 2 operation(s) for memberships.
Mode Reports API
The Reports API from Mode — 27 operation(s) for reports.
Mode Spaces API
The Spaces API from Mode — 6 operation(s) for spaces.
Mode Verify API
The Verify API from Mode — 1 operation(s) for verify.
Scroll within the panel for all 11 ·
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.
mode-mcp.yml
MCP SERVERSecurity 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 Mode — 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 5
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
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
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