Ontora

Ontora is an AI operational-intelligence platform that runs parallel, voice-based AI-agent interviews with every employee to map how work actually gets done across operations, sales, finance, and change management. It synthesizes the roughly 80% of undocumented, tacit process knowledge that lives only in employees' heads into prioritized automation and cost-reduction roadmaps, compressing a discovery effort that traditionally takes a consulting firm months into a matter of hours. Founded in 2026 and backed by Y Combinator, Ontora targets mid-market companies of roughly 200-2,000 employees undergoing AI transformation. As of this profile the company publishes a product and app but no public API, SDK, or developer platform.

Ontora is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, AI Agents, Operational Intelligence, and Process Discovery.

Ontora’s developer surface includes engineering blog, signup flow, and 4 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

9.5/100 minimal ▬ flat Agent 12/100 agent aware Front door AI 5/6 prominent saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

Company Artificial Intelligence AI Agents Operational IntelligenceProcess DiscoveryEnterprise Automation Y Combinator

Kin Score

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

Composite quality — 9.5/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 3.6 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.4 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 12/100 · agent aware

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 5 / 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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<a href="https://apis.io/providers/ontora/"><img src="https://apis.io/badge/ontora/card.svg" alt="Ontora on APIs.io — Kin Score by API Evangelist"></a>

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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

11 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 2.4 — up to +19.5 composite points
Access Clarity scores 21.1 — up to +15.8 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/ontora/apis.yml: open an issue on github.com/api-evangelist/ontora 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 2

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 (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

MCP Servers 1

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

Ontora MCP Server

Remote MCP server at api.ontora.com over HTTP.

MCP SERVER

Security Posture 1

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

Ontora Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Blog

Blog

Website

Website

Source (apis.yml)

aid: ontora
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:
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/ontora.png
name: Ontora
description: Ontora is an AI operational-intelligence platform that runs parallel, voice-based AI-agent interviews with every
  employee to map how work actually gets done across operations, sales, finance, and change management. It synthesizes the
  roughly 80% of undocumented, tacit process knowledge that lives only in employees' heads into prioritized automation and
  cost-reduction roadmaps, compressing a discovery effort that traditionally takes a consulting firm months into a matter
  of hours. Founded in 2026 and backed by Y Combinator, Ontora targets mid-market companies of roughly 200-2,000 employees
  undergoing AI transformation. As of this profile the company publishes a product and app but no public API, SDK, or developer
  platform.
url: https://raw.githubusercontent.com/api-evangelist/ontora/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Artificial Intelligence
- AI Agents
- Operational Intelligence
- Process Discovery
- Enterprise
- Automation
- Y Combinator
apis: []
common:
- url: https://ontora.com/blog
  type: Blog
- type: DomainSecurity
  url: security/ontora-domain-security.yml
- type: Website
  url: https://ontora.com
- type: SignUp
  url: https://app.ontora.com/sign-in
- type: TermsOfService
  url: https://ontora.com/terms-of-service
- type: PrivacyPolicy
  url: https://ontora.com/privacy
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1

Ontora API — frequently asked questions

Does Ontora have an MCP server?

Yes. APIs.io lists 1 MCP server for Ontora: Remote MCP server at api.ontora.com over HTTP.

Is the Ontora API ready for AI agents?

Ontora has a Kin Score of 9.5 out of 100 (minimal) and an Agent Readiness score of 12.2 (agent-aware), scored by API Evangelist on 2026-11-06.

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get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
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