specification: API Commons Plans specificationVersion: '0.1' schema: https://raw.githubusercontent.com/api-evangelist/interface-research/main/schema/api-commons.yml#/$defs/Plans provider: Snorkel AI providerId: snorkel-ai created: '2026-06-21' modified: '2026-06-21' reconciled: false tags: - AI - Data Development - Programmatic Labeling - Weak Supervision - Evaluation - SDK - Plans description: >- Snorkel AI operates a split model: the open-source snorkel Python library is free (Apache-2.0), while the enterprise Snorkel Flow platform and Snorkel Expert Data-as-a-Service are sales-led with custom, negotiated contracts and no public price list. Public third-party estimates put enterprise entry in the low-to-mid five figures and up per year (industry references cite figures such as ~$50K/year and a $60K 12-month hosted-unit contract), scaling by users, data volume, deployment model, and professional services. These figures are not confirmed by Snorkel and are unreconciled. notes: >- Pricing is not published by Snorkel; enterprise pricing requires contacting sales. Reconcile against an official quote or order form. Open-source library pricing (free) is the only firm, verifiable data point. sources: - https://snorkel.ai/snorkel-flow/ - https://snorkel.ai/expert-data-as-a-service/ - https://github.com/snorkel-team/snorkel plans: - id: snorkel-open-source name: Open-Source Snorkel Library type: free description: >- The free, Apache-2.0 snorkel Python library for programmatic labeling and weak supervision, installed locally via pip. No account, no usage billing. entries: - label: Open-Source Library name: open_source type: free metric: usage limit: -1 timeFrame: month geo: global unit: 1 price: free (Apache-2.0) userMultiplied: false elements: - name: Labeling Functions - name: LabelModel - name: Transformation Functions - name: Slicing Functions - id: snorkel-flow-enterprise name: Snorkel Flow Enterprise type: enterprise description: >- Sales-led enterprise platform for programmatic labeling, data curation, model training, and evaluation, driven via the Python SDK against a hosted or self-managed Snorkel Flow instance. Custom negotiated pricing. entries: - label: Enterprise Agreement name: enterprise type: flat metric: contract limit: -1 timeFrame: year geo: global unit: 1 price: contact sales (custom; third-party estimates ~$50K+/year, unconfirmed) userMultiplied: false elements: - name: Snorkel Flow Platform - name: Python SDK Access - name: Programmatic Labeling - name: Model Training - name: Evaluation - id: snorkel-expert-data name: Snorkel Expert Data-as-a-Service type: enterprise description: >- White-glove, sales-led service delivering custom, expert-curated datasets for training and evaluating frontier AI models. Scoped and priced per engagement. entries: - label: Expert Data Engagement name: expert_data type: flat metric: contract limit: -1 timeFrame: year geo: global unit: 1 price: contact sales (custom per engagement) userMultiplied: false elements: - name: Custom Dataset Construction - name: Expert Contributor Network - name: Benchmark Development maintainers: - FN: Kin Lane email: kin@apievangelist.com