Supper website screenshot

Supper

Supper is an AI data agent for high-growth companies that connects a company's data, cleans it, and maps its business language so teams can answer critical questions in plain English within minutes. Supper reads from the customer's warehouse (Snowflake, BigQuery, Postgres, Redshift) and SaaS tools (CRM, ERP, marketing, product, payments) over a read-only connection, builds a verified semantic model, and exposes a hosted, OAuth-secured MCP server so any MCP-compatible AI assistant such as Claude can query that data via natural language and return dashboards and answers grounded in that model.

Supper is profiled on the APIs.io network. Tagged areas include Company, Data, Analytics, Artificial Intelligence, and MCP.

Supper’s developer surface includes documentation, API reference, pricing, signup flow, engineering blog, authentication, and 11 more developer resources.

20.3/100 emerging ▬ flat Agent 24/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
AccessSelf serve
0 APIs 1 MCP Servers
CompanyDataAnalyticsArtificial IntelligenceMCPBusiness IntelligenceSemantic LayerData Agent

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/supper: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Supper MCP Server

Supper exposes a hosted, remote MCP server so any MCP-compatible AI assistant (Claude, Claude Code, etc.) can query a company's connected data in natural language, grounded in S...

MCP SERVER

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Supper Authentication

oauth2 · 1 scheme

SECURITY

Supper Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Supper Trust Center

SOC 2, HIPAA, GDPR

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Access & Security 4

Authentication, authorization, and security posture

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: supper
name: Supper
description: Supper is an AI data agent for high-growth companies that connects a company's data, cleans it, and maps its
  business language so teams can answer critical questions in plain English within minutes. Supper reads from the customer's
  warehouse (Snowflake, BigQuery, Postgres, Redshift) and SaaS tools (CRM, ERP, marketing, product, payments) over a read-only
  connection, builds a verified semantic model, and exposes a hosted, OAuth-secured MCP server so any MCP-compatible AI assistant
  such as Claude can query that data via natural language and return dashboards and answers grounded in that model.
url: https://raw.githubusercontent.com/api-evangelist/supper/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://cdn.prod.website-files.com/6878f348cb0839fd6dc7599d/6892361798f9bef9d3c1a4a1_supper-open-graph%20(1).jpg
x-type: company
x-source: vc-portfolio
x-backed-by:
- union-square-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Data
- Analytics
- Artificial Intelligence
- MCP
- Business Intelligence
- Semantic Layer
- Data Agent
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.supper.co
- type: Documentation
  url: https://docs.supper.co
- type: APIReference
  url: https://docs.supper.co/api-reference
- type: Pricing
  url: https://www.supper.co/pricing-2
- type: SignUp
  url: https://app.supper.co
- type: TermsOfService
  url: https://www.supper.co/terms-of-use
- type: PrivacyPolicy
  url: https://www.supper.co/privacy-policy
- type: Blog
  url: https://www.supper.co/resources
- type: MCPServer
  url: mcp/supper-mcp.yml
- type: Authentication
  url: authentication/supper-authentication.yml
- type: WellKnown
  url: well-known/supper-well-known.yml
- type: Conventions
  url: conventions/supper-conventions.yml
- type: Conformance
  url: conformance/supper-conformance.yml
- type: Compliance
  url: https://www.supper.co/security
- type: TrustCenter
  url: security/supper-trust-center.yml
- type: DomainSecurity
  url: security/supper-domain-security.yml
- type: LLMsTxt
  url: llms/supper-llms.txt
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 8
  pass: local-v1

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