Tutor Intelligence

Tutor Intelligence builds AI-powered robotic workers for industrial and logistics operations, delivered as robots-as-a-service. Its flagship Cassie palletizing robot handles material-handling tasks — palletizing, depalletizing, and case picking — in warehouses and factories without facility retrofits, and a humanoid robot, Sonny, is slated for late 2026. The company pairs on-robot autonomy with a human-in-the-loop teleoperation and data model, priced per robot-hour with no long-term contracts, and is backed by Union Square Ventures. No public developer API, SDK, or documentation surface is published as of this profiling; the company's public GitHub organization hosts internal tooling and open-source forks rather than a first-party product API.

Tutor Intelligence is profiled on the APIs.io network. Tagged areas include Company, Robotics, Automation, Warehouse Automation, and Logistics.

Tutor Intelligence’s developer surface includes engineering blog, pricing, support, and 6 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

17.5/100 emerging ▬ flat Agent 0/100 human only Front door AI 4/6 moderate Heartbeat 76/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs

Company Robotics Automation Warehouse Automation Logistics Manufacturing Artificial Intelligence Robots-as-a-Service

Kin Score

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

Composite quality — 17.5/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 10.1 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 1.4 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
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

13 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
Developer Ergonomics scores 7.1 — up to +18.6 composite points
Operational Transparency scores 2.6 — up to +12.7 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/tutor-intelligence/apis.yml: open an issue on github.com/api-evangelist/tutor-intelligence 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 →

Tutor Intelligence API pricing

Prices published by Tutor Intelligence, read 2026-10-07 from tutorintelligence.com/pricing.

Plan	Price
Hourly pricing — Palletizing · Depalletizing	$14–18 per robot-hour Includes: The rate is all-in: support, maintenance, and every model improvement we ship.
Per-pick pricing — Case pick · Each pick	10–50% below your cost per pick Includes: We quote a cost per pick by simulating your volume
Purchase outright	Talk to us and we'll price it for your operation. Includes: low-cost annual service plan with same support, maintenance, and model improvements

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Tutor Intelligence Plans Pricing

3 plans

PLANS

Security Posture 1

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

Tutor Intelligence Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Plans

Plans

Pricing

Pricing

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: tutor-intelligence
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: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/tutor-intelligence.png
name: Tutor Intelligence
description: Tutor Intelligence builds AI-powered robotic workers for industrial and logistics operations, delivered as robots-as-a-service.
  Its flagship Cassie palletizing robot handles material-handling tasks — palletizing, depalletizing, and case picking — in
  warehouses and factories without facility retrofits, and a humanoid robot, Sonny, is slated for late 2026. The company pairs
  on-robot autonomy with a human-in-the-loop teleoperation and data model, priced per robot-hour with no long-term contracts,
  and is backed by Union Square Ventures. No public developer API, SDK, or documentation surface is published as of this profiling;
  the company's public GitHub organization hosts internal tooling and open-source forks rather than a first-party product
  API.
url: https://raw.githubusercontent.com/api-evangelist/tutor-intelligence/refs/heads/main/apis.yml
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
- Robotics
- Automation
- Warehouse Automation
- Logistics
- Manufacturing
- Artificial Intelligence
- Robots-as-a-Service
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/tutor-intelligence-plans-pricing.yml
- type: DomainSecurity
  url: security/tutor-intelligence-domain-security.yml
- type: Website
  url: https://tutorintelligence.com
- type: Blog
  url: https://tutorintelligence.com/blog
- type: Pricing
  url: https://tutorintelligence.com/pricing
- type: PrivacyPolicy
  url: https://tutorintelligence.com/privacy
- type: Login
  url: https://app.tutorintelligence.com/login
- type: Support
  url: https://tutorintelligence.com/contact
- type: GitHubOrganization
  url: https://github.com/tutorintelligence
x-enrichment:
  date: '2026-07-21'
  status: minimal
  artifacts_added: 1
  pass: local-v1

Tutor Intelligence API — frequently asked questions

How much does the Tutor Intelligence API cost?

Tutor Intelligence publishes its prices; its Hourly pricing — Palletizing · Depalletizing plan is $14–18 per robot-hour as of 2026-10-07. APIs.io lists 3 pricing plans for Tutor Intelligence, with each plan's price, limits and inclusions under Pricing on this page.

Is the Tutor Intelligence API ready for AI agents?

Tutor Intelligence has a Kin Score of 17.5 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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