Strand AI website screenshot

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.

🌐 Visit website 📡 Source on GitHub
38.0/100 thin ▬ flat Agent 31/100 agent ready saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
1 APIs
CompanyArtificial IntelligenceMachine-LearningLife SciencesSpatial BiologyBioinformaticsDrug DiscoveryFoundation ModelsDigital PathologyHealthcare

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Composite quality — 38.0/100 · thin
Contract Quality 9.6 / 19
Developer Ergonomics 8.8 / 15
Access Clarity 1.6 / 15
Operational Transparency 2.6 / 10
Contract Governance 0.4 / 9
Discoverability 5.7 / 8
Regulatory Posture 3.2 / 15
Create-or-Update Ergonomics 0.0 / 10
Agent readiness — 31/100 · 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
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/strand-ai: 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.

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

Strand AI Platform Jobs API

OPEN COLLECTION

Strand AI Platform Jobs Predict API

OPEN COLLECTION

Strand AI Platform Jobs Samples API

OPEN COLLECTION

Strand AI Platform Jobs Uploads API

OPEN COLLECTION

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

DeveloperPortal
DeveloperPortal
 GettingStarted
GettingStarted
 SignUp
SignUp

Documentation 2

Reference material describing how the API behaves

Documentation
Documentation
 APIReference
APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt
 AgenticAccess
AgenticAccess
 X-MCPServerCandidate
X-MCPServerCandidate
 AgentSkill
AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conformance
Conformance
 ErrorCatalog
ErrorCatalog
 Lifecycle
Lifecycle
 Conventions
Conventions
 DataModel
DataModel

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages
 SDKs
SDKs

Access & Security 2

Authentication, authorization, and security posture

Authentication
Authentication
 DomainSecurity
DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Deprecation
Deprecation
 ChangeLog
ChangeLog

Commercial 1

Pricing, plans, and the legal terms of use

Pricing
Pricing

Company 1

The organization behind the API

Website
Website

Other 1

Properties that don't map to a standard resource type

Overlay
Overlay

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
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
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: X-MCPServerCandidate
  url: mcp/strand-ai-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/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

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