Medeloop

Medeloop is an AI platform for the clinical research lifecycle, describing itself as an operating system for clinical research that spans grant discovery and funding, real-world evidence generation from patient data, and delivering actionable intelligence at the point of care. Its products include Medeloop Analytics (AI agents that analyze EHR, claims, and registry data without requiring users to code), EvidenceKit (analytics paired with all-payer claims data), Medeloop Grants (AI-assisted grant discovery and proposal writing), and Medeloop Care (population health and care management). The platform is federated (compute moves to the data, which stays in the customer's infrastructure), CDM-agnostic (Epic, Cerner, Meditech, OMOP, i2b2, or custom schemas), and model-agnostic (routing tasks across OpenAI, Anthropic, or DeepSeek), with multi-cloud deployment across AWS, Azure, GCP, and on-premise. It serves pharmaceutical and life-sciences companies, health systems, and clinical researchers. As of this enrichment pass Medeloop publishes no public API, developer portal, or OpenAPI specification; its documentation host (docs.medeloop.ai) is gated behind Okta authentication and its analytics application is a private client login.

Medeloop is profiled on the APIs.io network. Tagged areas include Company, Healthcare, Clinical Research, Artificial Intelligence, and Real-World Evidence.

Medeloop’s developer surface includes engineering blog, signup flow, pricing, support, and 6 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

18.0/100 emerging ▬ flat Agent 0/100 human only Front door AI 5/6 prominent saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemium

0 APIs

Company Healthcare Clinical Research Artificial Intelligence Real-World Evidence Health Data Life Sciences Population Health

Kin Score

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

Composite quality — 18.0/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 10.7 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 0.9 / 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
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 0.0 — up to +13.0 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/medeloop/apis.yml: open an issue on github.com/api-evangelist/medeloop 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 →

Medeloop API pricing

Prices published by Medeloop, read 2026-10-07 from medeloop.ai/pricing.

Plan	Price
Free tier	Get Started Free Includes: 3 threads · 200M+ patient records · No credit card
1 Study	$799 Includes: 10K credits · $799 per study
3 Studies	$2,099 Includes: 30K credits · ≈$700 per study
10 Studies	$5,999 Includes: 100K credits · ≈$600 per study
Custom (bundle)	Custom Includes: Sized to your study volume
Team (annual)	$549/mo Includes: 120K credits · ≈$549 per study; 12 studies / year; Billed as $6,588 annually.
Team (monthly)	$649/mo · billed monthly Includes: 10K credits · ≈$649 per study
Lab (annual)	$1,399/mo Includes: 360K credits · ≈$466 per study; 36 studies / year; Billed as $16,788 annually.

All 12 plans, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Medeloop Plans Pricing

12 plans

PLANS

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 4

The organization behind the API

Blog

Website

About

Careers

Source (apis.yml)

aid: medeloop
name: Medeloop
description: Medeloop is an AI platform for the clinical research lifecycle, describing itself as an operating system for
  clinical research that spans grant discovery and funding, real-world evidence generation from patient data, and delivering
  actionable intelligence at the point of care. Its products include Medeloop Analytics (AI agents that analyze EHR, claims,
  and registry data without requiring users to code), EvidenceKit (analytics paired with all-payer claims data), Medeloop
  Grants (AI-assisted grant discovery and proposal writing), and Medeloop Care (population health and care management). The
  platform is federated (compute moves to the data, which stays in the customer's infrastructure), CDM-agnostic (Epic, Cerner,
  Meditech, OMOP, i2b2, or custom schemas), and model-agnostic (routing tasks across OpenAI, Anthropic, or DeepSeek), with
  multi-cloud deployment across AWS, Azure, GCP, and on-premise. It serves pharmaceutical and life-sciences companies, health
  systems, and clinical researchers. As of this enrichment pass Medeloop publishes no public API, developer portal, or OpenAPI
  specification; its documentation host (docs.medeloop.ai) is gated behind Okta authentication and its analytics application
  is a private client login.
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
  generated: '2026-11-06'
  method: derived
image: https://medeloop.ai/assets/og-image.png
url: https://raw.githubusercontent.com/api-evangelist/medeloop/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- general-catalyst
- inovia-capital
- icon-ventures
- healthier-capital
- maven-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Healthcare
- Clinical Research
- Artificial Intelligence
- Real-World Evidence
- Health Data
- Life Sciences
- Population Health
apis: []
common:
- type: Plans
  url: plans/medeloop-plans-pricing.yml
- url: https://medeloop.ai/blog
  type: Blog
- type: Website
  url: https://medeloop.ai
- type: SignUp
  url: https://analytics.medeloop.ai/
- type: Pricing
  url: https://medeloop.ai/pricing
- type: TermsOfService
  url: https://medeloop.ai/terms-of-service
- type: PrivacyPolicy
  url: https://medeloop.ai/privacy-policy
- type: Support
  url: https://medeloop.ai/contact
- type: About
  url: https://medeloop.ai/about
- type: Careers
  url: https://job-boards.greenhouse.io/medeloop
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: 0
  pass: local-v1

Medeloop API — frequently asked questions

How much does the Medeloop API cost?

Medeloop publishes its prices; its Free tier plan is Get Started Free as of 2026-10-07. APIs.io lists 12 pricing plans for Medeloop, with each plan's price, limits and inclusions under Pricing on this page.

Is the Medeloop API ready for AI agents?

Medeloop has a Kin Score of 18.0 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

Work with this as data

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MCP server

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Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
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.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

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Every operation they expose

curl "https://apis.io/api/v1/providers/medeloop/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/medeloop/evidence"

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