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Ask Sage

Ask Sage is a secure, government- and defense-grade generative AI platform that gives regulated organizations access to a broad catalog of commercial and open large language models behind a strict compliance boundary (FedRAMP High, DoD Impact Level 5/6, CMMC, NIST 800-53, GDPR). Beyond chat, it offers retrieval over private datasets, agents and an Agent Builder, plugins, a Deep Agent, and Model Context Protocol (MCP) integrations for Microsoft 365, GitHub, and Box. The platform is exposed through two REST APIs — a Server API for core AI operations (models, completions, agents, datasets, training) and a User API for authentication, API keys, and dataset management — plus OpenAI-, Anthropic-, and Gemini-style compatibility endpoints and an official Python client.

agent native

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.

Kin Score

API Evangelist profiles Ask Sage the way a machine reads it — 37 machine-readable artifacts across 32 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 — Ask Sage scores 52.3/100 (developing), 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 Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 52.3/100 · developing
Contract Quality 12.4 / 25
Developer Ergonomics 14.8 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 10.0 / 10
Regulatory · Government & Public Sector 9.8 / 15
Agent readiness — 65/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Ask Sage

Each block below is one kind of artifact we hold for Ask Sage. 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 32

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.

Ask Sage Admin API

Admin operations for organization management

Ask Sage Agent Builder API

Agent builder workflow and agent management

Ask Sage Allocation API

Token allocation and distribution policies

Ask Sage Audio API

Audio processing (TTS/STT)

Ask Sage Authentication API

User authentication and authorization

Ask Sage Chat Management API

Chat session operations

Ask Sage Completions API

Text generation and completions

Ask Sage Configuration API

System configuration endpoints

Ask Sage Dataset Management API

Dataset operations and permissions

Ask Sage Datasets API

Knowledge dataset management

Ask Sage Deep Agent API

Deep agent operations

Ask Sage Execute Agent API

The Execute Agent API from Ask Sage — 1 operation(s) for execute agent.

Ask Sage Feedback API

User feedback operations

Ask Sage Files API

File processing and analysis

Ask Sage List Agents API

The List Agents API from Ask Sage — 1 operation(s) for list agents.

Ask Sage MCP Servers API

Model Context Protocol server management

Ask Sage Memos API

Memo management within workbooks

Ask Sage Models API

AI model management

Ask Sage Plugins API

Plugin execution and management

Ask Sage Sources API

Source management within workbooks

Ask Sage Superadmin API

Superadmin system operations

Ask Sage System API

System utilities and health checks

Ask Sage Tabular Data API

Tabular data ingestion and querying

Ask Sage Token Requests API

Token request and approval workflow

Ask Sage Training API

Model training and content ingestion

Ask Sage Usage API

Token usage tracking

Ask Sage User Information API

User data and logs

Ask Sage User Management API

User profile and settings management

Ask Sage Utilities API

Utility endpoints

Ask Sage Widgets API

Widget/bot management

Ask Sage Workbooks API

Workbook management

Scroll within the panel for all 32 ·

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.

ask-sage-mcp.yml

MCP SERVER

Security Posture 3

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.

Ask Sage Authentication

apiKey · 1 scheme

SECURITY

Ask Sage Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Ask Sage Trust Center

FedRAMP, GDPR

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.

Ask Sage Agentic Access

219 operations · 188 acting · 6 human-in-the-loop

219 operations · 188 acting

AGENTIC

Resources

Every other property we hold for Ask Sage — 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 2

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Build 3

SDKs, sample code, and the tooling you integrate with

Operate 1

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

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