Prior Labs

Prior Labs builds TabPFN, a tabular foundation model that delivers strong predictions on structured/tabular data in seconds — no dataset-specific training, tuning, or ML pipelines required. TabPFN-3 handles classification, regression, time-series forecasting, anomaly detection, synthetic data generation, embeddings, and uncertainty quantification via in-context learning, scaling to 1M rows, 2,000 columns, and 160 classes. Prior Labs exposes TabPFN through a cloud REST API (api.priorlabs.ai), Python and R client SDKs, a Model Context Protocol server for AI agents, and private deployments on AWS SageMaker, Databricks, and Azure AI Foundry. The company was published in Nature and is now part of SAP.

Prior Labs publishes 2 API contracts indexed on the APIs.io network: Prediction API and Training API. Tagged areas include Company, Machine Learning, Artificial Intelligence, Tabular Data, and Foundation Models.

The Prior Labs catalog on APIs.io includes 1 Spectral governance ruleset.

Prior Labs’ developer surface includes pricing, documentation, API reference, getting-started guide, engineering blog, signup flow, support, and 24 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

51.8/100 developing ▬ flat Agent 55/100 agent ready Front door AI 4/6 moderate Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 published contract 1 MCP Servers 2 Agent Skills

Company Machine Learning Artificial Intelligence Tabular Data Foundation Models Predictions Data Science MCP SDK

What this lets a business do 1

Business capabilities this provider's published APIs can perform, derived from its own contracts. Browse all capabilities →

Information & Data Management

BC-610

PredictionTraining

POST /tabpfn/predict GET /tabpfn/get_model_limits POST /tabpfn/fit

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 51.8/100 · developing

Contract Quality 10.4 / 19

Developer Ergonomics 9.9 / 15

Access Clarity 8.7 / 15

Operational Transparency 2.6 / 10

Contract Governance 1.6 / 9

Discoverability 5.6 / 8

Regulatory Posture 3.4 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 55/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 0 / 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 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 AI & Biometrics 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/.

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

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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too
Agentic Commerce Well-Known Document +5 pts — a parsing /.well-known/ucp.json or acp.json declaring a version and at least one service, OR (0.27) a live x402 payment challenge from _data/x402-adoption.json — `self` when its endpoints are on the provider's own domain, `platform` when they are on a vendor's

3 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 55.7 — up to +11.1 composite points
Contract Governance scores 18.2 — up to +9.8 composite points
Operational Transparency scores 26.3 — up to +9.6 composite points

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.

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/priorlabs/apis.yml: open an issue on github.com/api-evangelist/priorlabs 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 →

Standards implemented 4

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

OpenAPI

measured — observed by APIs.io (published)

APIs 2

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

Prior Labs Prediction API

The Prediction API from Prior Labs — 3 operation(s) for prediction.

Prior Labs Training API

The Training API from Prior Labs — 4 operation(s) for training.

Open Collections 2

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

TabPFN Prediction API

OPEN COLLECTION

TabPFN Prediction Training API

OPEN COLLECTION

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Prior Labs MCP Server

Remote MCP server at api.priorlabs.ai over HTTP; 5 tools listed.

MCP SERVER

Agent Skills 2

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

TabPFN fit and predict

AGENT SKILL

TabPFN predictions via MCP

AGENT SKILL

Prior Labs API pricing

Prices published by Prior Labs, read 2026-10-07 from priorlabs.ai/pricing. A free plan or tier is listed.

Plan	Price
API Free	Free Includes: Latest model, TabPFN-3.5-Plus, including Thinking mode; Free daily & monthly limits; Python SDK, RES
API Pro	Contact Sales Includes: Everything in free, plus usage limits sized to your workload, technical support, faster inference wi
API Max	Contact Sales Includes: Advanced security and procurement compliance, dedicated support channel, early access to new model v
Private Cloud Free	Free Includes: Non-commercial license, TabPFN-3.5-Plus with Thinking mode, one-click deployment to AWS Sagemaker, A
Private Cloud Commercial	Contact Sales Includes: Licence covering production workflows at scale including Thinking mode
On-prem Free	Free Includes: Non-commercial, open-source license; TabPFN-3.5; open-source tabpfn package
On-prem Commercial	Contact Sales Includes: Commercial licence to model weights or a container image

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Priorlabs Plans Pricing

7 plans

PLANS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Prior Labs

SLA

FinOps 1

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

Priorlabs Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Prior Labs API Rules

57 rules · 50 errors 2 warnings 5 info

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.

Priorlabs Tabpfn Overlay

2 actions · update · priorlabs-openapi-original.json

DERIVED

Security Posture 2

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

Priorlabs Authentication

http · 1 scheme

SECURITY

Priorlabs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Priorlabs Agentic Access

7 operations · 6 acting

AGENTIC

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 3

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

OpenAPI

OpenAPI

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

MCPServer

LLMsTxt

AgentSkill

AgenticAccess

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

DataModel

Conformance

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 3

Status, limits, changes, and where to get help

Support

Support

ChangeLog

ChangeLog

Deprecation

Deprecation

Commercial 4

Pricing, plans, and the legal terms of use

Pricing

Plans

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Blog

Blog

Website

Website

Other 2

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Overlay

Overlay

Source (apis.yml)

aid: priorlabs
name: Prior Labs
description: Prior Labs builds TabPFN, a tabular foundation model that delivers strong predictions on structured/tabular data
  in seconds — no dataset-specific training, tuning, or ML pipelines required. TabPFN-3 handles classification, regression,
  time-series forecasting, anomaly detection, synthetic data generation, embeddings, and uncertainty quantification via in-context
  learning, scaling to 1M rows, 2,000 columns, and 160 classes. Prior Labs exposes TabPFN through a cloud REST API (api.priorlabs.ai),
  Python and R client SDKs, a Model Context Protocol server for AI agents, and private deployments on AWS SageMaker, Databricks,
  and Azure AI Foundry. The company was published in Nature and is now part of SAP.
url: https://raw.githubusercontent.com/api-evangelist/priorlabs/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: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://priorlabs.ai/pl.svg
x-type: company
x-source: vc-portfolio
x-backed-by:
- balderton-capital
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-04
x-docs-hosting: vercel
tags:
- Company
- Machine Learning
- Artificial Intelligence
- Tabular Data
- Foundation Models
- Predictions
- Data Science
- MCP
- SDK
tags_raw:
- Company
- Machine Learning
- Artificial Intelligence
- Tabular Data
- Foundation Models
- Predictions
- Data Science
- MCP
- SDK
- Machine-Learning
apis:
- aid: priorlabs:priorlabs-prediction-api
  name: Prior Labs Prediction API
  description: The Prediction API from Prior Labs — 3 operation(s) for prediction.
  humanURL: https://docs.priorlabs.ai/api-reference/getting-started
  baseURL: https://api.priorlabs.ai
  tags:
  - Predictions
  tags_raw:
  - Prediction
  properties:
  - type: OpenAPI
    url: openapi/priorlabs-prediction-api-openapi.yml
  - type: APIReference
    url: https://docs.priorlabs.ai/api-reference/getting-started
- aid: priorlabs:priorlabs-training-api
  name: Prior Labs Training API
  description: The Training API from Prior Labs — 4 operation(s) for training.
  humanURL: https://docs.priorlabs.ai/api-reference/getting-started
  baseURL: https://api.priorlabs.ai
  tags:
  - Training
  properties:
  - type: OpenAPI
    url: openapi/priorlabs-training-api-openapi.yml
  - type: APIReference
    url: https://docs.priorlabs.ai/api-reference/getting-started
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Pricing
  url: https://priorlabs.ai/pricing
- type: Plans
  url: plans/priorlabs-plans-pricing.yml
- type: CapabilityMap
  url: capabilities/priorlabs-capability-edges.yml
  name: Prior Labs Business Capability Map
- type: Documentation
  url: https://docs.priorlabs.ai/overview
- type: DeveloperPortal
  url: https://docs.priorlabs.ai/
- type: APIReference
  url: https://docs.priorlabs.ai/api-reference/getting-started
- type: GettingStarted
  url: https://docs.priorlabs.ai/quickstart
- type: Blog
  url: https://priorlabs.ai/blog
- type: GitHubOrganization
  url: https://github.com/PriorLabs
- type: SignUp
  url: https://ux.priorlabs.ai/home
- type: TermsOfService
  url: https://priorlabs.ai/terms
- type: PrivacyPolicy
  url: https://priorlabs.ai/privacy-policy
- type: Support
  url: mailto:hello@priorlabs.ai
- type: ChangeLog
  url: https://docs.priorlabs.ai/changelog
- type: OpenAPI
  url: openapi/_original/priorlabs-openapi-original.json
- type: Overlay
  url: overlays/priorlabs-tabpfn-overlay.yaml
- type: MCPServer
  url: mcp/priorlabs-mcp.yml
- type: LLMsTxt
  url: llms/priorlabs-llms.txt
- type: Packages
  url: packages/priorlabs-packages.yml
- type: SDKs
  url: packages/priorlabs-packages.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Authentication
  url: authentication/priorlabs-authentication.yml
- type: Conventions
  url: conventions/priorlabs-conventions.yml
- type: ErrorCatalog
  url: errors/priorlabs-problem-types.yml
- type: Lifecycle
  url: lifecycle/priorlabs-lifecycle.yml
- type: Deprecation
  url: lifecycle/priorlabs-lifecycle.yml
- type: DataModel
  url: data-model/priorlabs-data-model.yml
- type: Conformance
  url: conformance/priorlabs-conformance.yml
- type: AgenticAccess
  url: agentic-access/priorlabs-agentic-access.yml
- type: DomainSecurity
  url: security/priorlabs-domain-security.yml
- type: Website
  url: https://priorlabs.ai/
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 17
  pass: local-v1

Prior Labs API — frequently asked questions

Does Prior Labs have an API?

Yes. APIs.io lists 2 APIs from Prior Labs, including Prior Labs Prediction API and Prior Labs Training API.

Is there an OpenAPI specification for the Prior Labs API?

Yes. APIs.io indexes 2 OpenAPI specifications for Prior Labs, each linked for download from this page.

How do I authenticate with the Prior Labs API?

Prior Labs documents its authentication (http · 1 scheme). The details are profiled on APIs.io as Priorlabs Authentication.

How much does the Prior Labs API cost?

APIs.io lists 7 pricing plans for Prior Labs, with each plan's price, limits and inclusions under Pricing on this page.

Does Prior Labs have an MCP server?

Yes. APIs.io lists 1 MCP server for Prior Labs: Remote MCP server at api.priorlabs.ai over HTTP; 5 tools listed.

Is the Prior Labs API ready for AI agents?

Prior Labs has a Kin Score of 51.8 out of 100 (developing) and an Agent Readiness score of 54.8 (agent-ready), scored by API Evangelist on 2026-11-06.

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