Pearl

Pearl is a dental AI computer-vision company whose FDA-cleared products - Second Opinion (real-time pathology and restorative detection on 2D and 3D dental radiographs), Practice Intelligence (clinical and operational analytics over full practice-management-system data), and Precheck (AI insurance claim review) - are delivered by embedding Pearl's cloud AI into third-party imaging and practice management software rather than through a public, self-serve developer API. Pearl integrates natively with 40+ imaging/PMS platforms (DEXIS, Carestream, Planmeca Romexis, Dentsply Sirona Sidexis, Apteryx XVWeb, MiPACS, Open Dental, Dentrix, Eaglesoft, Curve, Denticon, Software of Excellence EXACT) and is an authorized vendor in the Henry Schein One API Exchange. There is no publicly documented, self-signup Pearl developer API, SDK, or OpenAPI reference; API access is partner/OEM-gated and arranged through Pearl's integrations and sales teams. The API surfaces below are modeled from Pearl's public product descriptions and integration architecture, not from published Pearl API reference documentation.

Pearl is listed with 3 APIs on the APIs.io network. Tagged areas include Artificial Intelligence, Dental, Computer Vision, Radiology, and Medical Imaging.

Pearl’s developer surface includes documentation, developer portal, engineering blog, and 4 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

8.7/100 minimal ▬ flat Agent 0/100 human only Front door AI 5/6 prominent Heartbeat 98/100 alive saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessApprovalPartner gated

3 APIs

Artificial Intelligence Dental Computer Vision Radiology Medical ImagingPathology DetectionHealthcare

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 8.7/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 3.6 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 5.3 / 9

Regulatory Posture 0.0 / 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 Health 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 Ask about this →
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
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) Ask about this →
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) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →

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 Ask about this →
Access Clarity scores 0.0 — up to +20.0 composite points Ask about this →
Developer Ergonomics scores 21.4 — up to +15.7 composite points Ask about this →

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.

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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/pearl-dental/apis.yml: open an issue on github.com/api-evangelist/pearl-dental 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 →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	regulated	40.7 (thin)	-	-
FDA Device Establishments (radiology, nuclear medicine, cardiovascular, robotic surgery)	regulated	40.7 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

APIs 3

Individual APIs this provider publishes. MODELED: a real API behind a partner or contract gate; there is no public reference, so API Evangelist drew its shape. NOT AN API: a product area with no API behind it, not counted.

Pearl Second Opinion Image Analysis API

Partner/OEM-gated cloud AI surface behind Second Opinion. When an imaging partner uploads a bitewing, periapical, panoramic, or CBCT radiograph, Pearl's cloud computer-vision se...

MODELED, NO PUBLIC REFERENCE

Pearl Practice Intelligence Analytics API

Practice Intelligence pairs Pearl's diagnostic AI with full practice-management-system data to surface clinical quality, financial performance, appointment compliance, case acce...

MODELED, NO PUBLIC REFERENCE

Pearl PMS Integration Exchange API

The integration/enablement layer through which Pearl is provisioned inside third-party imaging and practice management systems - including as an authorized vendor in the Henry S...

MODELED, NO PUBLIC REFERENCE

Pearl API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Pearl Plans Pricing

0 plans

PLANS

Security Posture 1

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

Pearl Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Portal

Portal

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

Plans

Plans

Company 3

The organization behind the API

LinkedIn

Website

Website

Blog

Blog

Source (apis.yml)

aid: pearl-dental
url: https://raw.githubusercontent.com/api-evangelist/pearl-dental/refs/heads/main/apis.yml
name: Pearl
kind: company
description: Pearl is a dental AI computer-vision company whose FDA-cleared products - Second Opinion (real-time pathology
  and restorative detection on 2D and 3D dental radiographs), Practice Intelligence (clinical and operational analytics over
  full practice-management-system data), and Precheck (AI insurance claim review) - are delivered by embedding Pearl's cloud
  AI into third-party imaging and practice management software rather than through a public, self-serve developer API. Pearl
  integrates natively with 40+ imaging/PMS platforms (DEXIS, Carestream, Planmeca Romexis, Dentsply Sirona Sidexis, Apteryx
  XVWeb, MiPACS, Open Dental, Dentrix, Eaglesoft, Curve, Denticon, Software of Excellence EXACT) and is an authorized vendor
  in the Henry Schein One API Exchange. There is no publicly documented, self-signup Pearl developer API, SDK, or OpenAPI
  reference; API access is partner/OEM-gated and arranged through Pearl's integrations and sales teams. The API surfaces below
  are modeled from Pearl's public product descriptions and integration architecture, not from published Pearl API reference
  documentation.
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: approval
  trial: false
  try_now: false
  public: false
  gated: partner
  gated_source:
  - tag:Partner Gated
  label: Requires approval
  confidence: low
  source:
  - security
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/pearl-dental.png
tags:
- Artificial Intelligence
- Dental
- Computer Vision
- Radiology
- Medical Imaging
- Pathology Detection
- Healthcare
tags_raw:
- AI
- Dental
- Computer Vision
- Radiology
- Medical Imaging
- Pathology Detection
- Healthcare
- Computer-Vision
created: '2026-07-05'
modified: '2026-07-05'
specificationVersion: '0.23'
apis:
- aid: pearl-dental:pearl-dental-second-opinion-image-analysis-api
  endpointsModeled: true
  name: Pearl Second Opinion Image Analysis API
  tags:
  - Image Analysis
  - Radiographs
  - Pathology Detection
  - Modeled
  tags_raw:
  - Image Analysis
  - Radiographs
  - Pathology Detection
  - Partner Gated
  - Modeled
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://hellopearl.com/products/second-opinion
  properties:
  - url: https://hellopearl.com/products/second-opinion
    type: Documentation
  - url: https://www.hellopearl.com/native-integration
    type: Integrations
  description: Partner/OEM-gated cloud AI surface behind Second Opinion. When an imaging partner uploads a bitewing, periapical,
    panoramic, or CBCT radiograph, Pearl's cloud computer-vision service analyzes it and returns detections - up to 18 findings
    per image (incipient/progressed caries, bone loss with millimeter and ratio measurements, calculus, periapical radiolucencies,
    defective margins, widened PDL, impactions) plus existing restorations (crowns, fillings, bridges, root canals, implants)
    - as labeled bounding boxes and metadata overlaid on the original image. There is no public, self-serve developer reference
    for this surface; endpoints are modeled from Pearl's product and integration descriptions.
- aid: pearl-dental:pearl-dental-practice-intelligence-analytics-api
  endpointsModeled: true
  name: Pearl Practice Intelligence Analytics API
  tags:
  - Analytics
  - Practice Management
  - Clinical Performance
  - Modeled
  tags_raw:
  - Analytics
  - Practice Management
  - Clinical Performance
  - Partner Gated
  - Modeled
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://hellopearl.com/products/practice-intelligence
  properties:
  - url: https://hellopearl.com/products/practice-intelligence
    type: Documentation
  - url: https://www.hellopearl.com/native-integration
    type: Integrations
  description: Practice Intelligence pairs Pearl's diagnostic AI with full practice-management-system data to surface clinical
    quality, financial performance, appointment compliance, case acceptance, and per-provider production across one location
    or hundreds. It integrates by consuming a PMS that "exposes a public API or accessible data layer" (Open Dental, Dentrix,
    Eaglesoft, Carestack, Oryx, Curve, Denticon, EXACT), with custom integrations delivered in ~40 business days. Pearl does
    not publish a self-serve developer API for the resulting analytics; this surface is modeled from public product documentation.
- aid: pearl-dental:pearl-dental-pms-integration-exchange-api
  endpointsModeled: true
  name: Pearl PMS Integration Exchange API
  tags:
  - Integration
  - Practice Management
  - API Exchange
  - Modeled
  tags_raw:
  - Integrations
  - Practice Management
  - API Exchange
  - Partner Gated
  - Modeled
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://www.hellopearl.com/press-release/pearl-joins-henry-schein-one-api-exchange-as-an-authorized-integration-vendor
  properties:
  - url: https://www.hellopearl.com/native-integration
    type: Documentation
  - url: https://management.hellopearl.com/
    type: Portal
  description: The integration/enablement layer through which Pearl is provisioned inside third-party imaging and practice
    management systems - including as an authorized vendor in the Henry Schein One API Exchange for Dentrix and Dentrix Ascend.
    Practices and DSOs are onboarded (remote install, historical data ingestion, phased go-live, up to 50 offices per month)
    and managed via the Pearl Management Portal. This is a partner/vendor-facing integration process, not a public developer
    API; endpoints are modeled and not published by Pearl.
common:
- type: DomainSecurity
  url: security/pearl-dental-domain-security.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/hellopearl
- type: Website
  url: https://hellopearl.com
- type: Documentation
  url: https://help.hellopearl.com
- type: Integrations
  url: https://www.hellopearl.com/native-integration
- type: Portal
  url: https://management.hellopearl.com/
- type: Plans
  url: plans/pearl-dental-plans-pricing.yml
- type: Blog
  url: https://hellopearl.com/blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
x-tags-removed:
- Partner Gated

Pearl API — frequently asked questions

Does Pearl have an API?

Yes. APIs.io lists 3 APIs from Pearl, including Pearl Second Opinion Image Analysis API, Pearl Practice Intelligence Analytics API and Pearl PMS Integration Exchange API.

Is the Pearl API ready for AI agents?

Pearl has a Kin Score of 8.7 out of 100 (minimal) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-13.

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