Biodock

Biodock is an AI platform that makes deep learning easy to train, run, and interpret on biological and microscopy images, dramatically accelerating R&D image analysis. Researchers upload microscopy images, label and train fully-automated deep AI models in a visual labeler (no code required), and run those models across large datasets to segment, classify, and quantify objects such as cells - producing results comparable to flow cytometry along with downloadable object-level and aggregate data. Biodock is used by academic labs and Fortune 500 biopharma and life-science organizations, and is SOC 2 Type II and ISO 27001 certified. Beyond the visual app, Biodock exposes a public REST API (beta) for uploading files to the Biodock Filesystem, submitting analysis jobs against published pipelines, tracking job progress, and downloading results and segmentation masks - so analysis can be scripted and integrated into internal tools and imaging pipelines.

Biodock publishes 4 APIs on the APIs.io network, including Analysis Jobs API, Auth API, Files API, and 1 more. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Image Analysis, and Microscopy.

Biodock’s developer surface includes documentation, signup flow, engineering blog, support, and 17 more developer resources.

🌐 Visit website 📡 Source on GitHub

51.6/100 developing ▬ flat Agent 18/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

1 APIs

Company Artificial Intelligence Machine-Learning Image Analysis Microscopy Life Sciences Biotechnology Computer-VisionCell AnalysisResearch

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 51.6/100 · developing

Contract Quality 10.7 / 19

Developer Ergonomics 8.8 / 15

Access Clarity 6.5 / 15

Operational Transparency 2.6 / 10

Contract Governance 0.4 / 9

Discoverability 5.7 / 8

Regulatory Posture 7.7 / 15

Create-or-Update Ergonomics 1.1 / 10

Agent readiness — 18/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 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

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 applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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 github.com/api-evangelist/biodock: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 4

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

Biodock Analysis Jobs API

Submitting, tracking, and downloading analysis jobs

Biodock Auth API

API key verification

Biodock Files API

Uploading and listing Biodock Filesystem items

Biodock Pipelines API

Listing published analysis pipelines

Open Collections 5

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Biodock Public Analysis Jobs API

OPEN COLLECTION

Biodock Public Analysis Jobs Auth API

OPEN COLLECTION

Biodock Public Analysis Jobs Files API

OPEN COLLECTION

Biodock Public Analysis Jobs Pipelines API

OPEN COLLECTION

Security Posture 4

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

Biodock Authentication

apiKey · 1 scheme

SECURITY

Biodock Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Biodock Vulnerability Disclosure

Hackerone · contact published

SECURITY

Biodock Trust Center

SOC 2 Type II, SOC 3, ISO 27001

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate

X-MCPServerCandidate

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Lifecycle

Lifecycle

Conformance

Conformance

Access & Security 5

Authentication, authorization, and security posture

Security

Security

Compliance

Compliance

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

StatusPage

StatusPage

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: biodock
name: Biodock
description: Biodock is an AI platform that makes deep learning easy to train, run, and interpret on biological and microscopy
  images, dramatically accelerating R&D image analysis. Researchers upload microscopy images, label and train fully-automated
  deep AI models in a visual labeler (no code required), and run those models across large datasets to segment, classify,
  and quantify objects such as cells - producing results comparable to flow cytometry along with downloadable object-level
  and aggregate data. Biodock is used by academic labs and Fortune 500 biopharma and life-science organizations, and is SOC
  2 Type II and ISO 27001 certified. Beyond the visual app, Biodock exposes a public REST API (beta) for uploading files to
  the Biodock Filesystem, submitting analysis jobs against published pipelines, tracking job progress, and downloading results
  and segmentation masks - so analysis can be scripted and integrated into internal tools and imaging pipelines.
url: https://raw.githubusercontent.com/api-evangelist/biodock/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- a16z
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
image: https://cdn.prod.website-files.com/63213d26df394911486f698e/637bb41c1cac3a4ded2e9f23_SEOImage.jpg
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Image Analysis
- Microscopy
- Life Sciences
- Biotechnology
- Computer-Vision
- Cell Analysis
- Research
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Image Analysis
- Microscopy
- Life Sciences
- Biotechnology
- Computer Vision
- Cell Analysis
- Research
apis:
- aid: biodock:biodock-analysis-jobs-api
  name: Biodock Analysis Jobs API
  description: Submitting, tracking, and downloading analysis jobs
  humanURL: https://docs.biodock.ai/public-api/overview
  baseURL: https://app.biodock.ai/api/external
  tags:
  - Analysis Jobs
  properties:
  - type: OpenAPI
    url: openapi/biodock-analysis-jobs-api-openapi.yml
  - type: Authentication
    url: authentication/biodock-authentication.yml
  - type: Conventions
    url: conventions/biodock-conventions.yml
  - type: DataModel
    url: data-model/biodock-data-model.yml
  - type: Documentation
    url: https://docs.biodock.ai/public-api/overview
  - type: APIReference
    url: https://docs.biodock.ai/public-api/resources
  - type: GettingStarted
    url: https://docs.biodock.ai/public-api/authentication
  - type: Examples
    url: https://docs.biodock.ai/public-api/examples
- aid: biodock:biodock-auth-api
  name: Biodock Auth API
  description: API key verification
  humanURL: https://docs.biodock.ai/public-api/overview
  baseURL: https://app.biodock.ai/api/external
  tags:
  - Authentication
  tags_raw:
  - Auth
  properties:
  - type: OpenAPI
    url: openapi/biodock-auth-api-openapi.yml
  - type: Authentication
    url: authentication/biodock-authentication.yml
  - type: Conventions
    url: conventions/biodock-conventions.yml
  - type: DataModel
    url: data-model/biodock-data-model.yml
  - type: Documentation
    url: https://docs.biodock.ai/public-api/overview
  - type: APIReference
    url: https://docs.biodock.ai/public-api/resources
  - type: GettingStarted
    url: https://docs.biodock.ai/public-api/authentication
  - type: Examples
    url: https://docs.biodock.ai/public-api/examples
- aid: biodock:biodock-files-api
  name: Biodock Files API
  description: Uploading and listing Biodock Filesystem items
  humanURL: https://docs.biodock.ai/public-api/overview
  baseURL: https://app.biodock.ai/api/external
  tags:
  - File
  tags_raw:
  - Files
  properties:
  - type: OpenAPI
    url: openapi/biodock-files-api-openapi.yml
  - type: Authentication
    url: authentication/biodock-authentication.yml
  - type: Conventions
    url: conventions/biodock-conventions.yml
  - type: DataModel
    url: data-model/biodock-data-model.yml
  - type: Documentation
    url: https://docs.biodock.ai/public-api/overview
  - type: APIReference
    url: https://docs.biodock.ai/public-api/resources
  - type: GettingStarted
    url: https://docs.biodock.ai/public-api/authentication
  - type: Examples
    url: https://docs.biodock.ai/public-api/examples
- aid: biodock:biodock-pipelines-api
  name: Biodock Pipelines API
  description: Listing published analysis pipelines
  humanURL: https://docs.biodock.ai/public-api/overview
  baseURL: https://app.biodock.ai/api/external
  tags:
  - Pipelines
  properties:
  - type: OpenAPI
    url: openapi/biodock-pipelines-api-openapi.yml
  - type: Authentication
    url: authentication/biodock-authentication.yml
  - type: Conventions
    url: conventions/biodock-conventions.yml
  - type: DataModel
    url: data-model/biodock-data-model.yml
  - type: Documentation
    url: https://docs.biodock.ai/public-api/overview
  - type: APIReference
    url: https://docs.biodock.ai/public-api/resources
  - type: GettingStarted
    url: https://docs.biodock.ai/public-api/authentication
  - type: Examples
    url: https://docs.biodock.ai/public-api/examples
common:
- type: Website
  url: https://www.biodock.ai/
- type: X-MCPServerCandidate
  url: mcp/biodock-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: Overlay
  url: overlays/biodock-public-api-overlay.yaml
- type: DeveloperPortal
  url: https://docs.biodock.ai/
- type: Documentation
  url: https://docs.biodock.ai/
- type: SignUp
  url: https://app.biodock.ai/signup
- type: Login
  url: https://app.biodock.ai/
- type: Blog
  url: https://blog.biodock.ai/
- type: StatusPage
  url: https://biodock.statuspage.io/
- type: Support
  url: https://www.biodock.ai/contact
- type: TermsOfService
  url: https://www.biodock.ai/termsprivacy
- type: PrivacyPolicy
  url: https://www.biodock.ai/termsprivacy
- type: Security
  url: https://www.biodock.ai/security
- type: Compliance
  url: https://www.biodock.ai/security
- type: TrustCenter
  url: https://www.biodock.ai/security
- type: LLMsTxt
  url: llms/biodock-llms.txt
- type: Lifecycle
  url: lifecycle/biodock-lifecycle.yml
- type: Conformance
  url: conformance/biodock-conformance.yml
- type: VulnerabilityDisclosure
  url: security/biodock-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/biodock-domain-security.yml
- type: AgentSkill
  url: skills/_index.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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