Mito Ai

Mito (Saga, Inc. / Sagacollab) is a suite of Jupyter and JupyterLab extensions that help data professionals write Python code faster. It combines Mito AI (a context-aware chat agent, autocomplete, and smart debugging), the Mito Spreadsheet (an Excel-like interface that generates equivalent Python/pandas code as you edit, pivot, filter, and graph), database connectors, and one-click deployment of notebooks as Streamlit and Dash apps. Mito is distributed as open-source Python packages (mitosheet, mito-ai) installable via pip and ships an official Mito AI MCP server for connecting the Mito Agent to MCP-capable clients. It is not a hosted REST API product; the developer surface is the client libraries, the MCP server, and the Jupyter tooling. Backed by Lightspeed Venture Partners.

Mito Ai is profiled on the APIs.io network. Tagged areas include Company, Data Analytics, Jupyter, Spreadsheets, and Artificial Intelligence.

Mito Ai’s developer surface includes documentation, getting-started guide, engineering blog, pricing, signup flow, support, changelog, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

26.6/100 thin ▬ flat Agent 4/100 human only Front door AI 5/6 prominent Heartbeat 37/100 slowing saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemium

0 APIs 1 MCP Servers

Company Data Analytics Jupyter Spreadsheets Artificial Intelligence Python Data Science MCP

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 26.6/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 7.7 / 17

Access Clarity 9.4 / 17

Operational Transparency 2.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.7 / 9

Regulatory Posture 0.8 / 15

Agent readiness — 4/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

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.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

12 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Contract Governance scores 0.0 — up to +12.0 composite points
Developer Ergonomics scores 45.2 — up to +11.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/mito-ai/apis.yml: open an issue on github.com/api-evangelist/mito-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

MCP Servers 1

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

Mito AI MCP server

Official Mito AI MCP server. Enables LLMs to perform better data analysis and visualization, including best-in-class Excel-to-Python workflows, by connecting the Mito Agent into...

MCP SERVER

Mito Ai API pricing

Prices published by Mito Ai, read 2026-10-07 from www.trymito.io/plans.

Plan	Price
Open Source	$0 Includes: 150 AI Completions per month; AI Chat, Agent, and Autocomplete; Basic Mito Spreadsheet; Community Su
Pro	$20/user per month Includes: Unlimited AI Completions; Turn off private telemetry; Advanced Mito Spreadsheet; Dedicated Support
Enterprise	Contact Us Includes: The power of Pro, and: Admin controls; LLM and Database integrations; Training programs

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Mito Ai Plans Pricing

3 plans

PLANS

Security Posture 1

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

Mito Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

Pricing

Pricing

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: mito-ai
name: Mito Ai
description: Mito (Saga, Inc. / Sagacollab) is a suite of Jupyter and JupyterLab extensions that help data professionals write
  Python code faster. It combines Mito AI (a context-aware chat agent, autocomplete, and smart debugging), the Mito Spreadsheet
  (an Excel-like interface that generates equivalent Python/pandas code as you edit, pivot, filter, and graph), database connectors,
  and one-click deployment of notebooks as Streamlit and Dash apps. Mito is distributed as open-source Python packages (mitosheet,
  mito-ai) installable via pip and ships an official Mito AI MCP server for connecting the Mito Agent to MCP-capable clients.
  It is not a hosted REST API product; the developer surface is the client libraries, the MCP server, and the Jupyter tooling.
  Backed by Lightspeed Venture Partners.
url: https://raw.githubusercontent.com/api-evangelist/mito-ai/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: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://avatars.githubusercontent.com/u/55325926?v=4
x-type: company
x-source: vc-portfolio
x-backed-by:
- lightspeed-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
x-docs-platform: gitbook
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-10-04
tags:
- Company
- Data Analytics
- Jupyter
- Spreadsheets
- Artificial Intelligence
- Python
- Data Science
- MCP
tags_raw:
- Company
- Data Analytics
- Jupyter
- Spreadsheet
- Artificial Intelligence
- Python
- Data Science
- MCP
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/mito-ai-plans-pricing.yml
- type: Website
  url: https://www.trymito.io
- type: DeveloperPortal
  url: https://docs.trymito.io
- type: Documentation
  url: https://docs.trymito.io
- type: GettingStarted
  url: https://docs.trymito.io/getting-started/installing-mito
- type: GitHubOrganization
  url: https://github.com/mito-ds
- type: Blog
  url: https://www.trymito.io/blog
- type: Pricing
  url: https://www.trymito.io/plans
- type: SignUp
  url: https://www.trymito.io/plans
- type: Support
  url: https://discord.com/invite/XdJSZyejJU
- type: ChangeLog
  url: https://docs.trymito.io/misc/release-notes
- type: MCPServer
  name: Mito AI MCP server
  url: mcp/mito-ai-mcp.yml
- type: Packages
  url: packages/mito-ai-packages.yml
- type: SDKs
  url: packages/mito-ai-packages.yml
- type: LLMsTxt
  url: llms/mito-ai-llms.txt
- type: DomainSecurity
  url: security/mito-ai-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 4
  pass: local-v1

Mito Ai API — frequently asked questions

How much does the Mito Ai API cost?

Mito Ai publishes its prices; its Open Source plan is $0 as of 2026-10-07. APIs.io lists 3 pricing plans for Mito Ai, with each plan's price, limits and inclusions under Pricing on this page.

Does Mito Ai have an MCP server?

Yes. APIs.io lists 1 MCP server for Mito Ai: Official Mito AI MCP server. Enables LLMs to perform better data analysis and visualization, including best-in-class Excel-to-Python workflows, by connecting the Mito Agent into an MCP-capable client.

Is the Mito Ai API ready for AI agents?

Mito Ai has a Kin Score of 26.6 out of 100 (thin) and an Agent Readiness score of 3.5 (human-only), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

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