Snorkel AI

Snorkel AI is a data-development / AI data platform built on the open-source Snorkel weak-supervision library. The enterprise Snorkel Flow platform supports programmatic labeling, data curation, model training, and evaluation, and is driven programmatically through a Python SDK that targets a per-instance REST API rather than a single public hosted endpoint. Snorkel also delivers Expert Data-as-a-Service for frontier-model training and evaluation data.

Snorkel AI publishes 5 API contracts indexed on the APIs.io network, including Snorkel Platform REST API, and 4 more. Tagged areas include Artificial Intelligence, Data Development, Programmatic Labeling, Weak Supervision, and Evaluation.

The Snorkel AI catalog on APIs.io includes 1 Spectral governance ruleset.

Snorkel AI’s developer surface includes authentication, documentation, engineering blog, API reference, getting-started guide, release notes, YouTube channel, and 37 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

39.3/100 developing ▬ flat Agent 19/100 agent aware Front door AI 6/6 dominant Heartbeat 74/100 alive saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessEnterprise

1 published contract 1 Agent Skills

Artificial IntelligenceData DevelopmentProgrammatic LabelingWeak SupervisionEvaluation SDK

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 39.3/100 · developing

Contract Quality 2.4 / 21

Developer Ergonomics 8.8 / 17

Access Clarity 7.2 / 17

Operational Transparency 3.9 / 11

Contract Governance 2.2 / 10

Discoverability 6.5 / 9

Regulatory Posture 4.9 / 15

Agent readiness — 19/100 · 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 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

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) 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 does not apply to this provider. The published contracts declare no write operations, and a read-only API cannot create-or-update. The facet is excluded from this provider's denominator entirely — not scored zero. A reference or data API is not deficient for being unable to upsert.

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/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link Ask about this →

9 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 11.1 — up to +22.2 composite points Ask about this →
Access Clarity scores 42.6 — up to +11.5 composite points Ask about this →
Developer Ergonomics scores 51.8 — up to +9.6 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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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 the provider profile at artifacts.apis.io/snorkel-ai/apis.yml: open an issue on github.com/api-evangelist/snorkel-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Hugging Face Hub Organisations	builds-on	26.8 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

APIs 5

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

Snorkel Flow SDK / Platform

The Snorkel Flow Python SDK (snorkelflow) drives the platform programmatically, connecting to a customer's Snorkel Flow instance via SnorkelFlowContext and an API key. The snork...

Programmatic Labeling

SDK surface (snorkelflow.studio, snorkelflow.lfs, snorkelflow.operators, snorkelflow.templates) for authoring code-based and template-based labeling functions, transformation an...

Evaluation

Platform and SDK capabilities for assessing model performance across data splits, running error and slice analysis, and building expert-curated benchmarks. Largely delivered in-...

Open-Source Snorkel Library

The free, open-source snorkel Python library (Apache-2.0) for programmatically building and managing training data with weak supervision - labeling functions, the LabelModel, tr...

Snorkel Platform REST API

Each customer's Snorkel instance exposes a REST API (the snorkelai.sdk.client module is documented as "Interfaces to interact with the Snorkel REST API") at its own per-instance...

Open Collections 1

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

Snorkel Flow Platform API

OPEN COLLECTION

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

snorkel-ai-review-audit-logs

AGENT SKILL

Snorkel AI API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Snorkel AI Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Snorkel AI Rate Limits

0 limits

RATE LIMITS

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

Snorkel AI

7 quoted statements, read from Snorkel AI's own page on 2026-11-10.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

Snorkel AI

28 quoted statements, read from Snorkel AI's own page on 2026-11-10.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

Snorkel AI

2 quoted statements, read from Snorkel AI's own page on 2026-11-10.

ELIGIBILITY

Data License 1

How its data and outputs may be reused, quoted from its own terms.

Snorkel AI

1 quoted statement, read from Snorkel AI's own page on 2026-11-10.

LICENSE

FinOps 1

Cost, billing, and metering signals for API financial operations.

Snorkel AI Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Snorkel AI API Rules

12 rules · 10 error-severity 1 warn-severity 1 info-severity

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Snorkel AI Openapi Generated Overlay

5 actions · documentation · snorkel-ai-openapi-generated.yml

GENERATED

Security Posture 4

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

Snorkel AI Authentication

apiKey · 1 scheme

SECURITY

Snorkel AI Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Snorkel AI Vulnerability Disclosure

security.txt · contact published

SECURITY

Snorkel AI Trust Center

SOC 2, HIPAA

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Spectral

Vocabulary

Conventions

Lifecycle

Conformance

Build 4

SDKs, sample code, and the tooling you integrate with

IntegrationEdges

IntegrationEdges

SDKs

SDKs

Packages

Packages

GitHubOrganization

GitHubOrganization

Access & Security 8

Authentication, authorization, and security posture

Compliance

Security

SecurityTxt

SecurityTxt

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Authentication

Authentication

Scroll for all 8

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 3

Status, limits, changes, and where to get help

Deprecation

Deprecation

ReleaseNotes

ReleaseNotes

Contact

Contact

Commercial 5

Pricing, plans, and the legal terms of use

FinOps

TermsOfService

PrivacyPolicy

UsageTerms

DataLicense

Company 6

The organization behind the API

LinkedIn

Website

Blog

Newsroom

Careers

Twitter

Other 6

Properties that don't map to a standard resource type

Overlay

Hosts

Vendors

RSSFeed

DataProcessing

Eligibility

Source (apis.yml)

aid: snorkel-ai
url: https://raw.githubusercontent.com/api-evangelist/snorkel-ai/refs/heads/main/apis.yml
name: Snorkel AI
kind: company
description: Snorkel AI is a data-development / AI data platform built on the open-source Snorkel weak-supervision library.
  The enterprise Snorkel Flow platform supports programmatic labeling, data curation, model training, and evaluation, and
  is driven programmatically through a Python SDK that targets a per-instance REST API rather than a single public hosted
  endpoint. Snorkel also delivers Expert Data-as-a-Service for frontier-model training and evaluation data.
deliveryModel:
  model: saas
  license_evidence:
    not_product:
    - snorkel-team/snorkel
  open_source: unknown
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: low
  source:
  - pricing
  - repository-not-product
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: enterprise
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Enterprise
  confidence: medium
  probe_state: unreadable
  source:
  - finops
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/snorkel-ai.png
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-04
x-docs-hosting: netlify
tags:
- Artificial Intelligence
- Data Development
- Programmatic Labeling
- Weak Supervision
- Evaluation
- SDK
tags_raw:
- AI
- Data Development
- Programmatic Labeling
- Weak Supervision
- Evaluation
- SDK
created: '2026-06-21'
modified: '2026-10-27'
specificationVersion: '0.23'
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
common:
- type: Spectral
  url: rules/snorkel-ai-rules.yml
- type: Vocabulary
  url: vocabulary/snorkel-ai-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Conventions
  url: conventions/snorkel-ai-conventions.yml
- type: Compliance
  url: https://security.snorkel.ai/
- type: Security
  url: security/snorkel-ai-vulnerability-disclosure.yml
- type: Deprecation
  url: lifecycle/snorkel-ai-lifecycle.yml
- type: Lifecycle
  url: lifecycle/snorkel-ai-lifecycle.yml
- type: Conformance
  url: conformance/snorkel-ai-conformance.yml
- type: Overlay
  url: overlays/snorkel-ai-openapi-generated-overlay.yaml
- type: LLMsTxt
  url: llms/snorkel-ai-llms.txt
- type: SecurityTxt
  url: well-known/snorkel-ai-security.txt
- type: SecurityTxt
  url: well-known/snorkel-ai-customer-security.txt
- type: WellKnown
  url: well-known/snorkel-ai-well-known.yml
- type: Hosts
  url: hosts/snorkel-ai-hosts.yml
- type: IntegrationEdges
  url: integrations/snorkel-ai-integration-edges.yml
- type: Vendors
  url: vendors/snorkel-ai-vendors.yml
- type: SDKs
  url: packages/snorkel-ai-packages.yml
- type: Packages
  url: packages/snorkel-ai-packages.yml
- type: TrustCenter
  url: security/snorkel-ai-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/snorkel-ai-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/snorkel-ai-domain-security.yml
- type: Authentication
  url: authentication/snorkel-ai-authentication.yml
- type: GitHubOrganization
  url: https://github.com/snorkel-team
- type: LinkedIn
  url: https://www.linkedin.com/company/snorkel-ai
- type: Website
  url: https://snorkel.ai
- type: Documentation
  url: https://docs.snorkel.ai
- type: FinOps
  url: finops/snorkel-ai-finops.yml
- url: https://snorkel.ai/blog/
  type: Blog
- url: https://snorkel.ai/feed/
  type: RSSFeed
- url: https://docs.snorkel.ai/docs/26.7/sdk/
  type: APIReference
- url: https://docs.snorkel.ai/docs/26.7/user-guide/sdk/quick_start/
  type: GettingStarted
- url: https://docs.snorkel.ai/release-notes/v261-release-notes
  type: ReleaseNotes
- url: https://snorkel.ai/terms/
  type: TermsOfService
- url: https://snorkel.ai/privacy/
  type: PrivacyPolicy
- url: https://snorkel.ai/press/
  type: Newsroom
- url: https://snorkel.ai/contact/
  type: Contact
- url: https://snorkel.ai/join-us/
  type: Careers
- url: https://twitter.com/snorkelai
  type: Twitter
- url: https://www.youtube.com/channel/UC6MQ2p8gZFYdTLEV8cysE6Q
  type: YouTube
- type: UsageTerms
  url: terms/snorkel-ai-terms-of-service.yml
- type: DataProcessing
  url: privacy/snorkel-ai-privacy-policy.yml
- type: Eligibility
  url: eligibility/snorkel-ai-eligibility.yml
- type: DataLicense
  url: data-license/snorkel-ai-data-license.yml
apis:
- aid: snorkel-ai:snorkel-flow-sdk-platform
  name: Snorkel Flow SDK / Platform
  tags:
  - SDK
  - Platform
  - Data Development
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.snorkel.ai/docs/26.7/user-guide/sdk/quick_start/
  properties:
  - url: https://docs.snorkel.ai/docs/25.3/user-guide/sdk/
    type: Documentation
  - url: https://docs.snorkel.ai/docs/0.95/sdk/
    type: APIReference
  description: The Snorkel Flow Python SDK (snorkelflow) drives the platform programmatically, connecting to a customer's
    Snorkel Flow instance via SnorkelFlowContext and an API key. The snorkelflow.client module wraps the instance's REST API;
    there is no single public hosted base URL - each deployment exposes its own per-instance endpoint (https://<your-snorkel-hostname>).
    Covers datasets, applications, operators, labeling functions, model training, and evaluation.
- aid: snorkel-ai:programmatic-labeling
  name: Programmatic Labeling
  tags:
  - Programmatic Labeling
  - Labeling Functions
  - Weak Supervision
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.snorkel.ai/docs/0.95/sdk/
  properties:
  - url: https://docs.snorkel.ai/docs/0.93/user-guide/overview/key-concepts/
    type: Documentation
  - url: https://docs.snorkel.ai/docs/0.95/sdk/
    type: APIReference
  description: SDK surface (snorkelflow.studio, snorkelflow.lfs, snorkelflow.operators, snorkelflow.templates) for authoring
    code-based and template-based labeling functions, transformation and slicing functions, and combining them with a label
    model to programmatically generate training data via weak supervision.
- aid: snorkel-ai:evaluation
  name: Evaluation
  tags:
  - Evaluation
  - Benchmarks
  - Error Analysis
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://snorkel.ai/
  properties:
  - url: https://docs.snorkel.ai/docs/25.3/user-guide/sdk/
    type: Documentation
  - url: https://docs.snorkel.ai/docs/0.95/sdk/
    type: APIReference
  description: Platform and SDK capabilities for assessing model performance across data splits, running error and slice analysis,
    and building expert-curated benchmarks. Largely delivered in-platform and through the SDK against a customer's Snorkel
    Flow instance rather than a public REST endpoint.
- aid: snorkel-ai:open-source-snorkel-library
  name: Open-Source Snorkel Library
  tags:
  - Open Source
  - Python Library
  - Weak Supervision
  tags_raw:
  - Open Source
  - Python Library
  - Weak Supervision
  - Open-Source
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://github.com/snorkel-team/snorkel
  properties:
  - url: https://www.snorkel.org/
    type: Documentation
  - url: https://snorkel.readthedocs.io/
    type: APIReference
  - url: https://github.com/snorkel-team/snorkel
    type: GitHub
  description: The free, open-source snorkel Python library (Apache-2.0) for programmatically building and managing training
    data with weak supervision - labeling functions, the LabelModel, transformation functions, and slicing functions. Imported
    as a local Python dependency (pip install snorkel); not a hosted network API.
- aid: snorkel-ai:snorkel-platform-rest-api
  name: Snorkel Platform REST API
  description: Each customer's Snorkel instance exposes a REST API (the snorkelai.sdk.client module is documented as "Interfaces
    to interact with the Snorkel REST API") at its own per-instance URL, authenticated with an Authorization header carrying
    "key API_KEY". Snorkel publishes no machine-readable contract and documents only one endpoint verbatim (GET YOUR_SNORKEL_INSTANCE_URL/audit-logs,
    with limit/last_id pagination), so this contract was generated by API Evangelist from that docs page (2026-10-27). It
    is not the provider's own document.
  humanURL: https://docs.snorkel.ai/docs/26.7/administration/settings-and-administration/reviewing-audit-logs
  tags:
  - REST
  - Audit Logs
  properties:
  - type: OpenAPI
    url: openapi/_ae-authored/snorkel-ai-openapi-generated.yml
    x-provenance: generated
  - type: APIReference
    url: https://docs.snorkel.ai/docs/26.7/sdk/autosummary/snorkelai.sdk.client
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: Snorkel says its SDK wraps a per-instance REST API, but it publishes no OpenAPI or other contract and documents
    only one HTTP endpoint (GET /audit-logs) verbatim, so the only contract is generated from that page.
  evidence:
  - url: https://docs.snorkel.ai/docs/26.7/sdk/autosummary/snorkelai.sdk.client
    status: 200
  - url: https://docs.snorkel.ai/docs/26.7/administration/settings-and-administration/reviewing-audit-logs
    status: 200
  - url: https://docs.snorkel.ai/openapi.json
    status: 404
  - url: https://docs.snorkel.ai/llms.txt
    status: 404
  checked: '2026-10-27'
x-enrichment:
  date: '2026-10-27'
  status: nochange
  artifacts_added: 0
  pass: modular-v1
  engine: identity=anthropic,contract=anthropic,surfaces=anthropic,docs=anthropic,regulatory=anthropic

Snorkel AI API — frequently asked questions

Does Snorkel AI have an API?

Yes. APIs.io lists 5 APIs from Snorkel AI, including Snorkel Flow SDK / Platform, Programmatic Labeling and Evaluation, and 2 more.

Is there an OpenAPI specification for the Snorkel AI API?

Yes. APIs.io indexes 1 OpenAPI specification for Snorkel AI, each linked for download from this page.

How do I authenticate with the Snorkel AI API?

Snorkel AI uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Snorkel AI Authentication.

Is the Snorkel AI API ready for AI agents?

Snorkel AI has a Kin Score of 39.3 out of 100 (developing) and an Agent Readiness score of 18.9 (agent-aware), scored by API Evangelist on 2026-11-13.

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