Recursion Pharmaceuticals

Recursion Pharmaceuticals (NASDAQ: RXRX) is a Salt Lake City-based AI-enabled drug discovery company that operates the Recursion Operating System (Recursion OS), a vertically integrated platform combining automated wet-lab cellular phenomics, transcriptomics (Trekseq), proteomics, ADME, chemistry, and patient data with machine learning to map biology and design drug candidates. The platform runs on BioHive-2, a NVIDIA-built supercomputer ranked among the top global systems and dedicated to biopharma workloads, and is fed by 50+ petabytes of proprietary biological and chemical data. In November 2024 Recursion completed the acquisition of Exscientia, folding Exscientia's generative AI chemistry, Centaur Chemist, and clinical pipeline into the combined company; Recursion now runs more than 10 clinical and preclinical programs (REC-4881 for FAP, REC-3565 MALT1 inhibitor, REC-1245 RBM39 for biomarker-enriched solid tumors and lymphomas, REC-617 CDK7 inhibitor, REC-994 for cerebral cavernous malformation, REC-2282 for NF2- mutated meningiomas, REC-4209 for IPF, REC-7735 for HSD obesity), 10+ advanced discovery programs, and 10+ partnered programs across Roche (Genentech), Bayer, Sanofi, and Merck KGaA (Darmstadt). Recursion does not currently expose paid commercial APIs to external developers; assets and data access are delivered through licensing, scientific collaborations, and the MapApp web product. Externally, Recursion ships substantial open tooling: the RxRx family of open phenomics datasets (RxRx1, RxRx2, RxRx3, RxRx3-core, RxRx19a, RxRx19b) hosted at rxrx.ai and Hugging Face, the OpenPhenom-S/16 foundation model (released on Hugging Face and Google Cloud's Model Garden, with Phenom-Beta on NVIDIA BioNeMo), the MolE molecular foundation model, the gflownet library for graph and molecular generative modeling, SynFlowNet/synflownet-boltz for retrosynthesis-aware molecular design, maes_microscopy (NeurIPS 2023 spotlight masked autoencoders for cell microscopy), and rxrx1-utils for the NeurIPS 2019 CellSignal competition. The combination positions Recursion as a Tier-2 AI drug discovery provider with no commercial API surface but a meaningful open-source and open-model presence aimed at the computational biology research community.

Recursion Pharmaceuticals is profiled on the APIs.io network. Tagged areas include Artificial Intelligence, Drug Discovery, Biotech, Pharmaceuticals, and Phenomics.

Recursion Pharmaceuticals’ developer surface includes engineering blog, YouTube channel, and 30 more developer resources.

🌐 Visit website 📡 Source on GitHub

3.7/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Artificial Intelligence Drug Discovery Biotech PharmaceuticalsPhenomicsCellular ImagingTranscriptomics Proteomics Chemistry Machine-Learning Foundation ModelsOpen DatasetsOpen Source Models Generative Chemistry Oncology Rare Disease Clinical TrialsBioHiveRecursion OSMOSAICMapAppOpenPhenomMolEGFlowNetRxRxExscientia

Kin Score

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

Composite quality — 3.7/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.3 / 11

Contract Governance 0.0 / 10

Discoverability 4.3 / 9

Regulatory Posture 1.1 / 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

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/.

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/recursion-pharmaceuticals: 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 →

Security Posture 1

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

Recursion Pharmaceuticals Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

ClinicalTrials

ClinicalTrials

Build 7

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

SourceCode — gflownet

SourceCode — gflownet

SourceCode — MolE (mole_public)

SourceCode — MolE (mole_public)

SourceCode — SynFlowNet-Boltz

SourceCode — SynFlowNet-Boltz

SourceCode — MAEs Microscopy

SourceCode — MAEs Microscopy

SourceCode — RxRx1 Utils

SourceCode — RxRx1 Utils

SourceCode — RxRx Datasets

SourceCode — RxRx Datasets

Scroll for all 7

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Company 8

The organization behind the API

Website

Website

Partnerships

Partnerships

InvestorRelations

Newsroom

Blog

Careers

LinkedIn

Twitter

Twitter

Scroll for all 8

Other 14

Properties that don't map to a standard resource type

Platform

Pipeline

Publications

OpenDatasets

MapApp

PhenomModel

HuggingFace

HuggingFaceModel — OpenPhenom-S/16

HuggingFaceModel — OpenPhenom-S/16

HuggingFaceDataset — RxRx3

HuggingFaceDataset — RxRx3

HuggingFaceDataset — RxRx3-core

HuggingFaceDataset — RxRx3-core

ExternalModel — Phenom-Beta on NVIDIA BioNeMo

ExternalModel — Phenom-Beta on NVIDIA BioNeMo

SECFilings

SECFilings

StockTicker

StockTicker

Acquisition — Exscientia

Acquisition — Exscientia

Scroll for all 14

Source (apis.yml)

aid: recursion-pharmaceuticals
name: Recursion Pharmaceuticals
description: 'Recursion Pharmaceuticals (NASDAQ: RXRX) is a Salt Lake City-based AI-enabled drug discovery company that operates
  the Recursion Operating System (Recursion OS), a vertically integrated platform combining automated wet-lab cellular phenomics,
  transcriptomics (Trekseq), proteomics, ADME, chemistry, and patient data with machine learning to map biology and design
  drug candidates. The platform runs on BioHive-2, a NVIDIA-built supercomputer ranked among the top global systems and dedicated
  to biopharma workloads, and is fed by 50+ petabytes of proprietary biological and chemical data. In November 2024 Recursion
  completed the acquisition of Exscientia, folding Exscientia''s generative AI chemistry, Centaur Chemist, and clinical pipeline
  into the combined company; Recursion now runs more than 10 clinical and preclinical programs (REC-4881 for FAP, REC-3565
  MALT1 inhibitor, REC-1245 RBM39 for biomarker-enriched solid tumors and lymphomas, REC-617 CDK7 inhibitor, REC-994 for cerebral
  cavernous malformation, REC-2282 for NF2- mutated meningiomas, REC-4209 for IPF, REC-7735 for HSD obesity), 10+ advanced
  discovery programs, and 10+ partnered programs across Roche (Genentech), Bayer, Sanofi, and Merck KGaA (Darmstadt). Recursion
  does not currently expose paid commercial APIs to external developers; assets and data access are delivered through licensing,
  scientific collaborations, and the MapApp web product. Externally, Recursion ships substantial open tooling: the RxRx family
  of open phenomics datasets (RxRx1, RxRx2, RxRx3, RxRx3-core, RxRx19a, RxRx19b) hosted at rxrx.ai and Hugging Face, the OpenPhenom-S/16
  foundation model (released on Hugging Face and Google Cloud''s Model Garden, with Phenom-Beta on NVIDIA BioNeMo), the MolE
  molecular foundation model, the gflownet library for graph and molecular generative modeling, SynFlowNet/synflownet-boltz
  for retrosynthesis-aware molecular design, maes_microscopy (NeurIPS 2023 spotlight masked autoencoders for cell microscopy),
  and rxrx1-utils for the NeurIPS 2019 CellSignal competition. The combination positions Recursion as a Tier-2 AI drug discovery
  provider with no commercial API surface but a meaningful open-source and open-model presence aimed at the computational
  biology research community.'
type: Index
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
position: Producing
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/recursion-pharmaceuticals.png
tags:
- Artificial Intelligence
- Drug Discovery
- Biotech
- Pharmaceuticals
- Phenomics
- Cellular Imaging
- Transcriptomics
- Proteomics
- Chemistry
- Machine-Learning
- Foundation Models
- Open Datasets
- Open Source Models
- Generative Chemistry
- Oncology
- Rare Disease
- Clinical Trials
- BioHive
- Recursion OS
- MOSAIC
- MapApp
- OpenPhenom
- MolE
- GFlowNet
- RxRx
- Exscientia
tags_raw:
- AI
- Artificial Intelligence
- Drug Discovery
- Biotech
- Pharmaceuticals
- Phenomics
- Cellular Imaging
- Transcriptomics
- Proteomics
- Chemistry
- Machine Learning
- Foundation Models
- Open Datasets
- Open Source Models
- Generative Chemistry
- Oncology
- Rare Disease
- Clinical Trials
- BioHive
- Recursion OS
- MOSAIC
- MapApp
- OpenPhenom
- MolE
- GFlowNet
- RxRx
- Exscientia
url: https://raw.githubusercontent.com/api-evangelist/recursion-pharmaceuticals/refs/heads/main/apis.yml
created: '2026-05-24'
modified: '2026-05-24'
specificationVersion: '0.23'
apis: []
common:
- type: DomainSecurity
  url: security/recursion-pharmaceuticals-domain-security.yml
- type: Website
  url: https://www.recursion.com
- type: Platform
  url: https://www.recursion.com/recursion-os
- type: Pipeline
  url: https://www.recursion.com/pipeline
- type: ClinicalTrials
  url: https://www.recursion.com/clinical-trials
- type: Partnerships
  url: https://www.recursion.com/partners
- type: Publications
  url: https://www.recursion.com/publications
- type: OpenDatasets
  url: https://www.rxrx.ai
- type: MapApp
  url: https://www.rxrx.ai/mapapp
- type: PhenomModel
  url: https://www.rxrx.ai/phenom
- type: HuggingFace
  url: https://huggingface.co/recursionpharma
- type: HuggingFaceModel — OpenPhenom-S/16
  url: https://huggingface.co/recursionpharma/OpenPhenom
- type: HuggingFaceDataset — RxRx3
  url: https://huggingface.co/datasets/recursionpharma/rxrx3
- type: HuggingFaceDataset — RxRx3-core
  url: https://huggingface.co/datasets/recursionpharma/rxrx3-core
- type: GitHubOrganization
  url: https://github.com/recursionpharma
- type: SourceCode — gflownet
  url: https://github.com/recursionpharma/gflownet
- type: SourceCode — MolE (mole_public)
  url: https://github.com/recursionpharma/mole_public
- type: SourceCode — SynFlowNet-Boltz
  url: https://github.com/recursionpharma/synflownet-boltz
- type: SourceCode — MAEs Microscopy
  url: https://github.com/recursionpharma/maes_microscopy
- type: SourceCode — RxRx1 Utils
  url: https://github.com/recursionpharma/rxrx1-utils
- type: SourceCode — RxRx Datasets
  url: https://github.com/recursionpharma/rxrx-datasets
- type: ExternalModel — Phenom-Beta on NVIDIA BioNeMo
  url: https://build.nvidia.com/recursion
- type: InvestorRelations
  url: https://ir.recursion.com
- type: SECFilings
  url: https://ir.recursion.com/financials/sec-filings
- type: Newsroom
  url: https://www.recursion.com/newsroom
- type: Blog
  url: https://www.recursion.com/insights
- type: Careers
  url: https://www.recursion.com/careers
- type: LinkedIn
  url: https://www.linkedin.com/company/recursionpharma
- type: Twitter
  url: https://twitter.com/RecursionPharma
- type: YouTube
  url: https://www.youtube.com/@RecursionPharmaceuticals
- type: StockTicker
  url: https://finance.yahoo.com/quote/RXRX
- type: Acquisition — Exscientia
  url: https://ir.recursion.com/news-releases/news-release-details/recursion-completes-acquisition-exscientia
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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