teddyagent-app

Teddy is an AI‑powered agent that helps you create, organize, and share knowledge. Class notes, practice quizzes, documentation or reports: whatever your AI prepares, with its own link and organized in folders. Nothing to install, no servers to maintain. Works where you already work. If you can ask your AI for it, Teddy saves it, files it into folders and gives you a URL to review or share. Record the lecture, hand the transcript to your AI and study from a clean summary. Let your agent publish what it understands about a project, for you and for whoever comes next.

teddyagent-app publishes 1 API contract indexed on the APIs.io network. Tagged areas include Company, AI, Education, Productivity, and Collaboration.

The teddyagent-app catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

teddyagent-app’s developer surface includes authentication, documentation, pricing, signup flow, and 14 more developer resources.

31.4/100 thin Agent 29/100 agent ready Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →
1 published contract 1 MCP Servers 1 Agent Skills
CompanyAIEducationProductivityCollaborationKnowledge-Management

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0
Regulatory Posture applies to this provider. Its tags matched the Education & Research 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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Raise your score.
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
  • 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)
  • A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
  • Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
  • Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
5 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
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/teddyagent-app/apis.yml: open an issue on github.com/api-evangelist/teddyagent-app 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 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Teddy API

Public API for Teddy agent functions and artifacts.

MCP Servers 1

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

teddyagent-app MCP Server

Remote MCP server at teddyagent.app.

MCP SERVER

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

publish-artifact

AGENT SKILL

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Teddyagent App Rate Limits

0 limits

RATE LIMITS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Teddyagent App Context

23 classes · 79 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

teddyagent-app API Rules

16 rules · 10 errors 5 warnings 1 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Teddyagent App Openapi Overlay

0 actions · update

UNRECORDED

Security Posture 2

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

Teddyagent App Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Teddyagent App Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Access & Security 2

Authentication, authorization, and security posture

Commercial 2

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: teddyagent-app
name: teddyagent-app
description: 'Teddy is an AI‑powered agent that helps you create, organize, and share knowledge. Class notes, practice quizzes,
  documentation or reports: whatever your AI prepares, with its own link and organized in folders. Nothing to install, no
  servers to maintain. Works where you already work. If you can ask your AI for it, Teddy saves it, files it into folders
  and gives you a URL to review or share. Record the lecture, hand the transcript to your AI and study from a clean summary.
  Let your agent publish what it understands about a project, for you and for whoever comes next.'
url: https://artifacts.apis.io/teddyagent-app/apis.yml
image: https://teddyagent.app/brand/mark.svg
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-30 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-30'
modified: '2026-10-30'
tags:
- Company
- AI
- Education
- Productivity
- Collaboration
- Knowledge-Management
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/teddyagent-app-rules.yml
- type: JSONLD
  url: json-ld/teddyagent-app-context.jsonld
- type: Vocabulary
  url: vocabulary/teddyagent-app-vocabulary.yml
- type: Plans
  url: plans/teddyagent-app-plans-pricing.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/teddyagent-app-data-model.yml
- type: Authentication
  url: authentication/teddyagent-app-authentication.yml
- type: ErrorCatalog
  url: errors/teddyagent-app-problem-types.yml
- type: Conformance
  url: conformance/teddyagent-app-conformance.yml
- type: LLMsTxt
  url: llms/teddyagent-app-llms.txt
- type: MCPServer
  url: mcp/teddyagent-app-mcp.yml
- type: WellKnown
  url: well-known/teddyagent-app-well-known.yml
- type: Hosts
  url: hosts/teddyagent-app-hosts.yml
- type: DomainSecurity
  url: security/teddyagent-app-domain-security.yml
- type: Website
  url: https://teddyagent.app/
- type: Documentation
  url: https://teddyagent.app/docs
- type: Pricing
  url: https://teddyagent.app/pricing
- type: SignUp
  url: https://teddyagent.app/login
apis:
- name: Teddy API
  description: Public API for Teddy agent functions and artifacts.
  humanURL: https://teddyagent.app/docs
  baseURL: https://teddyagent.app
  aid: teddyagent-app:teddy-api
x-coverage:
  state: gated
  reason: partner-login
  method: derived
  generated: '2026-10-30'
  generator: derive-coverage.py (pre-flight evidence)
  detail: the company serves an API surface but requires credentials before any description of it can be read
  evidence:
  - url: https://teddyagent.app/openapi.json
    status: null
  - url: https://teddyagent.app/mcp
    status: 401
  - url: https://teddyagent.app/
    status: 200
x-enrichment:
  date: '2026-10-30'
  status: enriched
  artifacts_added: 30
  pass: modular-v1
  engine: identity=oss,contract=oss,surfaces=oss,docs=oss,regulatory=oss

teddyagent-app API — frequently asked questions

Does teddyagent-app have an API?

Yes. APIs.io lists 1 API from teddyagent-app, including Teddy API.

How do I authenticate with the teddyagent-app API?

teddyagent-app documents its authentication (1 scheme). The details are profiled on APIs.io as Teddyagent App Authentication.

How much does the teddyagent-app API cost?

APIs.io lists 2 pricing plans for teddyagent-app, with each plan's price, limits and inclusions under Pricing Plans on this page.

Does teddyagent-app have an MCP server?

Yes. APIs.io lists 1 MCP server for teddyagent-app: Remote MCP server at teddyagent.app.

Is the teddyagent-app API ready for AI agents?

teddyagent-app has a Kin Score of 31.4 out of 100 (thin) and an Agent Readiness score of 28.6 (agent-ready), scored by API Evangelist on 2026-10-31.

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