Numerai website screenshot

Numerai

Numerai is a San Francisco hedge fund that crowdsources its stock-market trading models from a global community of data scientists. Participants download obfuscated, regularized financial datasets, train machine-learning models, and submit predictions each weekly round through a single GraphQL API at api-tournament.numer.ai. Models are staked with the Ethereum-based NMR token and earn performance-based payouts for accurate, original signals. The platform spans Numerai Classic, Numerai Signals (bring-your-own stock signals), and Crypto Signals, with official Python tooling (numerapi, numerai-cli, numerai-tools) and cloud Compute Prediction Nodes for fully automated round submissions.

Numerai publishes 1 API on the APIs.io network. Tagged areas include Company, Fintech, Machine-Learning, Data Science, and Hedge Fund.

The Numerai catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Numerai’s developer surface includes documentation, API reference, getting-started guide, support, signup flow, authentication, CLI, and 25 more developer resources.

47.0/100 developing ▬ flat Agent 26/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
1 APIs
CompanyFintechMachine-LearningData ScienceHedge FundGraphQLCryptoQuantitative FinanceTournament

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
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.
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/numerai: 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 1

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

Numerai GraphQL API

Single GraphQL endpoint (Elixir/Absinthe, introspection enabled) covering datasets, submissions, models, leaderboards, staking, and Compute webhooks for Numerai Classic, Signals...

Rate Limits 1

Documented rate limits and quota policies.

Numerai Rate Limits

150 limits

RATE LIMITS

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Security Posture 3

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

Numerai Authentication

apiKey · 1 scheme

SECURITY

Numerai Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Numerai Vulnerability Disclosure

security.txt · contact published

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Numerai Scopes

8 scopes

8 scopes

SCOPES

Resources

Get Started 4

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 6

Pagination, idempotency, versioning, errors, and events

Build 4

SDKs, sample code, and the tooling you integrate with

Access & Security 6

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: numerai
name: Numerai
description: Numerai is a San Francisco hedge fund that crowdsources its stock-market trading models from a global community
  of data scientists. Participants download obfuscated, regularized financial datasets, train machine-learning models, and
  submit predictions each weekly round through a single GraphQL API at api-tournament.numer.ai. Models are staked with the
  Ethereum-based NMR token and earn performance-based payouts for accurate, original signals. The platform spans Numerai Classic,
  Numerai Signals (bring-your-own stock signals), and Crypto Signals, with official Python tooling (numerapi, numerai-cli,
  numerai-tools) and cloud Compute Prediction Nodes for fully automated round submissions.
url: https://raw.githubusercontent.com/api-evangelist/numerai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- union-square-ventures
x-tier: stub
x-tier-reason: portfolio-lead
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: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - scopes
  - rate-limits
  - security
  generated: '2026-09-03'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
image: https://numer.ai/img/social-card.jpg
tags:
- Company
- Fintech
- Machine-Learning
- Data Science
- Hedge Fund
- GraphQL
- Crypto
- Quantitative Finance
- Tournament
tags_raw:
- Company
- Fintech
- Machine Learning
- Data Science
- Hedge Fund
- GraphQL
- Crypto
- Quantitative Finance
- Tournament
- API
apis:
- name: Numerai GraphQL API
  description: Single GraphQL endpoint (Elixir/Absinthe, introspection enabled) covering datasets, submissions, models, leaderboards,
    staking, and Compute webhooks for Numerai Classic, Signals, and Crypto Signals. Authenticated with a public-id/secret-key
    API token pair carrying selectable scopes.
  humanURL: https://docs.numer.ai
  baseURL: https://api-tournament.numer.ai
  properties:
  - type: Documentation
    url: https://docs.numer.ai
  - type: Authentication
    url: authentication/numerai-authentication.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://numer.ai
- type: DeveloperPortal
  url: https://docs.numer.ai
- type: Documentation
  url: https://docs.numer.ai
- type: APIReference
  url: https://api-tournament.numer.ai
- type: GettingStarted
  url: https://docs.numer.ai/tournament/learn
- type: Support
  url: https://forum.numer.ai
- type: GitHubOrganization
  url: https://github.com/numerai
- type: SignUp
  url: https://numer.ai/signup
- type: Login
  url: https://numer.ai/login
- type: TermsOfService
  url: https://numer.ai/terms
- type: PrivacyPolicy
  url: https://numer.ai/privacy
- type: StatusPage
  url: https://numerai.statuspage.io
- type: Security
  url: https://docs.numer.ai/numerai-tournament/bounties
- type: VulnerabilityDisclosure
  url: security/numerai-vulnerability-disclosure.yml
- type: SecurityTxt
  url: well-known/numerai-security.txt
- type: WellKnown
  url: well-known/numerai-well-known.yml
- type: DomainSecurity
  url: security/numerai-domain-security.yml
- type: Authentication
  url: authentication/numerai-authentication.yml
- type: OAuthScopes
  url: scopes/numerai-scopes.yml
- type: RateLimits
  url: rate-limits/numerai-rate-limits.yml
- type: Conventions
  url: conventions/numerai-conventions.yml
- type: ErrorCatalog
  url: errors/numerai-problem-types.yml
- type: Lifecycle
  url: lifecycle/numerai-lifecycle.yml
- type: Conformance
  url: conformance/numerai-conformance.yml
- type: Packages
  url: packages/numerai-packages.yml
- type: SDKs
  url: packages/numerai-packages.yml
- type: CLI
  url: cli/numerai-cli.yml
- type: X-MCPServerCandidate
  url: mcp/numerai-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: LLMsTxt
  url: llms/numerai-llms.txt
- type: Webhooks
  url: asyncapi/numerai-webhooks.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/numerai-data-model.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 18
  pass: local-v1

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