Strand AI

Strand AI (YC W26) builds multimodal foundation models for spatial biology that predict missing patient bio-data from the data a patient already has. Its Lattice model turns a single H&E-stained whole-slide image into per-pixel predictions for a panel of protein markers, recovering spatial protein signal without running multiplex immunofluorescence. The Strand Platform API is a production REST surface (https://app.strandai.com/api/v1) for uploading whole-slide images, estimating and submitting Lattice inference jobs, streaming job status over Server-Sent Events, and downloading OME-Zarr results as AnnData (Python) or SpatialExperiment (R). Access is invite-only, authenticated with organization-scoped bearer API keys, and metered in credits (1 credit per 224x224-px patch per marker). Official Python (strand-sdk) and R (strandai) clients are published. Outputs are for research and hypothesis generation, not clinical use.

Strand AI publishes 4 APIs on the APIs.io network, including Jobs API, Predict API, Samples API, and 1 more. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Life Sciences, and Spatial Biology.

Strand AI’s developer surface includes documentation, API reference, getting-started guide, pricing, signup flow, authentication, changelog, and 17 more developer resources.

41.0/100 developing ▬ flat Agent 42/100 agent ready Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0
AccessSelf serve
4 APIs 1 MCP Servers
CompanyArtificial IntelligenceMachine-LearningLife SciencesSpatial BiologyBioinformaticsDrug DiscoveryFoundation ModelsDigital PathologyHealthcare

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0
Composite quality — 41.0/100 · developing
Contract Quality 11.2 / 21
Developer Ergonomics 10.0 / 17
Access Clarity 1.8 / 17
Operational Transparency 2.9 / 11
Contract Governance 1.7 / 10
Discoverability 6.9 / 9
Regulatory Posture 3.2 / 15
Agent readiness — 42/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
Documented Reversibility 6 / 6
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 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
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.
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/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/strand-ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 4

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

Strand AI Jobs API

The Jobs API from Strand AI — 4 operation(s) for jobs.

Strand AI Predict API

The Predict API from Strand AI — 2 operation(s) for predict.

Strand AI Samples API

The Samples API from Strand AI — 3 operation(s) for samples.

Strand AI Uploads API

The Uploads API from Strand AI — 2 operation(s) for uploads.

Open Collections 5

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

API Collection

OPEN COLLECTION

MCP Servers 1

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

Security Posture 2

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

Strand Ai Authentication

http · 1 scheme

SECURITY

Strand Ai Domain Security

TLSv1.3 · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Strand Ai Agentic Access

11 operations · 7 acting

11 operations · 7 acting

AGENTIC

Resources

Get Started 3

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 1

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 ↑
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 16
  pass: local-v1
aid: strand-ai
name: Strand AI
description: Strand AI (YC W26) builds multimodal foundation models for spatial biology that predict missing patient bio-data
  from the data a patient already has. Its Lattice model turns a single H&E-stained whole-slide image into per-pixel predictions
  for a panel of protein markers, recovering spatial protein signal without running multiplex immunofluorescence. The Strand
  Platform API is a production REST surface (https://app.strandai.com/api/v1) for uploading whole-slide images, estimating
  and submitting Lattice inference jobs, streaming job status over Server-Sent Events, and downloading OME-Zarr results as
  AnnData (Python) or SpatialExperiment (R). Access is invite-only, authenticated with organization-scoped bearer API keys,
  and metered in credits (1 credit per 224x224-px patch per marker). Official Python (strand-sdk) and R (strandai) clients
  are published. Outputs are for research and hypothesis generation, not clinical use.
url: https://raw.githubusercontent.com/api-evangelist/strand-ai/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://avatars.githubusercontent.com/u/252118542?v=4
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: enriched
x-tier-reason: has-public-api
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Life Sciences
- Spatial Biology
- Bioinformatics
- Drug Discovery
- Foundation Models
- Digital Pathology
- Healthcare
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Life Sciences
- Spatial Biology
- Bioinformatics
- Drug Discovery
- Foundation Models
- Digital Pathology
- Healthcare
apis:
- aid: strand-ai:strand-ai-jobs-api
  name: Strand AI Jobs API
  description: The Jobs API from Strand AI — 4 operation(s) for jobs.
  humanURL: https://docs.strandai.com/api/overview
  baseURL: https://app.strandai.com/api/v1
  tags:
  - Job
  tags_raw:
  - Jobs
  properties:
  - type: OpenAPI
    url: openapi/strand-ai-jobs-api-openapi.yml
  - type: Documentation
    url: https://docs.strandai.com/api/overview
  - type: APIReference
    url: https://docs.strandai.com/api-reference/endpoint/submitPrediction
- aid: strand-ai:strand-ai-predict-api
  name: Strand AI Predict API
  description: The Predict API from Strand AI — 2 operation(s) for predict.
  humanURL: https://docs.strandai.com/api/overview
  baseURL: https://app.strandai.com/api/v1
  tags:
  - Predict
  properties:
  - type: OpenAPI
    url: openapi/strand-ai-predict-api-openapi.yml
  - type: Documentation
    url: https://docs.strandai.com/api/overview
  - type: APIReference
    url: https://docs.strandai.com/api-reference/endpoint/submitPrediction
- aid: strand-ai:strand-ai-samples-api
  name: Strand AI Samples API
  description: The Samples API from Strand AI — 3 operation(s) for samples.
  humanURL: https://docs.strandai.com/api/overview
  baseURL: https://app.strandai.com/api/v1
  tags:
  - Samples
  properties:
  - type: OpenAPI
    url: openapi/strand-ai-samples-api-openapi.yml
  - type: Documentation
    url: https://docs.strandai.com/api/overview
  - type: APIReference
    url: https://docs.strandai.com/api-reference/endpoint/submitPrediction
- aid: strand-ai:strand-ai-uploads-api
  name: Strand AI Uploads API
  description: The Uploads API from Strand AI — 2 operation(s) for uploads.
  humanURL: https://docs.strandai.com/api/overview
  baseURL: https://app.strandai.com/api/v1
  tags:
  - Uploads
  properties:
  - type: OpenAPI
    url: openapi/strand-ai-uploads-api-openapi.yml
  - type: Documentation
    url: https://docs.strandai.com/api/overview
  - type: APIReference
    url: https://docs.strandai.com/api-reference/endpoint/submitPrediction
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DeveloperPortal
  url: https://docs.strandai.com
- type: Documentation
  url: https://docs.strandai.com/introduction
- type: APIReference
  url: https://docs.strandai.com/api-reference/openapi.json
- type: GettingStarted
  url: https://docs.strandai.com/quickstart
- type: Pricing
  url: https://docs.strandai.com/pricing
- type: SignUp
  url: https://app.strandai.com/sign-in?requestAccess
- type: GitHubOrganization
  url: https://github.com/Strand-AI
- type: Website
  url: https://strandai.com
- type: LLMsTxt
  url: llms/strand-ai-llms.txt
- type: Authentication
  url: authentication/strand-ai-authentication.yml
- type: DomainSecurity
  url: security/strand-ai-domain-security.yml
- type: AgenticAccess
  url: agentic-access/strand-ai-agentic-access.yml
- type: Packages
  url: packages/strand-ai-packages.yml
- type: SDKs
  url: packages/strand-ai-packages.yml
- type: MCPServer
  url: mcp/strand-ai-mcp.yml
- type: Overlay
  url: overlays/strand-ai-platform-overlay.yaml
- type: Conformance
  url: conformance/strand-ai-conformance.yml
- type: ErrorCatalog
  url: errors/strand-ai-problem-types.yml
- type: Lifecycle
  url: lifecycle/strand-ai-lifecycle.yml
- type: Deprecation
  url: lifecycle/strand-ai-lifecycle.yml
- type: Conventions
  url: conventions/strand-ai-conventions.yml
- type: ChangeLog
  url: changelog/strand-ai-changelog.yml
- type: DataModel
  url: data-model/strand-ai-data-model.yml
- type: AgentSkill
  url: skills/_index.yml