Predibase

Predibase is a platform for fine-tuning and serving open-source LLMs. It pairs efficient LoRA / Turbo LoRA supervised and reinforcement (GRPO) fine-tuning with serverless and dedicated inference powered by LoRAX, the open-source multi-LoRA serving stack that packs hundreds of adapters onto a single GPU. Inference is exposed through an OpenAI-compatible API plus native generate endpoints.

Predibase publishes 7 API contracts indexed on the APIs.io network, including Adapters API, Batch Inference API, Datasets API, and 4 more. Tagged areas include Artificial Intelligence, LLM, Fine-Tuning, Inference, and LoRA.

The Predibase catalog on APIs.io includes 1 event-driven AsyncAPI specification and 1 Spectral governance ruleset.

Predibase’s developer surface includes authentication, documentation, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

27.9/100 thin ▬ flat Agent 22/100 agent aware Heartbeat 31/100 slowing 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

Artificial Intelligence LLM Fine-Tuning Inference LoRA Real-Time

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

Batch InferenceFine TuningInference

POST /finetuning/jobs POST /v1/chat/completions POST /batch-inference/jobs

Kin Score

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

Composite quality — 27.9/100 · thin

Contract Quality 9.2 / 19

Developer Ergonomics 4.5 / 15

Access Clarity 1.2 / 15

Operational Transparency 1.0 / 10

Contract Governance 1.0 / 9

Discoverability 5.0 / 8

Regulatory Posture 1.6 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 22/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 6 / 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 6 / 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

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 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):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

7 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 7.9 — up to +18.4 composite points
Developer Ergonomics scores 29.8 — up to +14.0 composite points
Contract Quality scores 49.3 — up to +12.7 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/predibase/apis.yml: open an issue on github.com/api-evangelist/predibase 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	covered	34.5 (thin)	-	1

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.

Standards implemented 3

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.

The Anthropic Messages Dialect

declared — publishes a spec that declares them

2 core of 244 operations graded · api-commons/models

The OpenAI Interface reaches extended

declared — publishes a spec that declares them

2 core of 338 operations graded · api-commons/models

OpenAPI

measured — observed by APIs.io (published)

APIs 7

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

Predibase Adapters API

The Adapters API from Predibase — 2 operation(s) for adapters.

Predibase Batch Inference API

The Batch Inference API from Predibase — 2 operation(s) for batch inference.

Predibase Datasets API

The Datasets API from Predibase — 2 operation(s) for datasets.

Predibase Deployments API

The Deployments API from Predibase — 2 operation(s) for deployments.

Predibase Fine-Tuning API

The Fine-Tuning API from Predibase — 3 operation(s) for fine-tuning.

Predibase Inference API

The Inference API from Predibase — 4 operation(s) for inference.

Predibase Models API

The Models API from Predibase — 1 operation(s) for models.

Scroll for all 7

Open Collections 8

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

Predibase Adapters API

OPEN COLLECTION

Predibase Adapters Batch Inference API

OPEN COLLECTION

Predibase Adapters Datasets API

OPEN COLLECTION

Predibase Adapters Deployments API

OPEN COLLECTION

Predibase Adapters Fine-Tuning API

OPEN COLLECTION

Predibase Adapters Inference API

OPEN COLLECTION

Predibase Adapters Models API

OPEN COLLECTION

Predibase API

OPEN COLLECTION

Scroll for all 8

Predibase API pricing

Not yet checked against Predibase's own pricing page. Compiled by API Evangelist on 2026-06-20 from predibase.com/pricing; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Free free	—
Pay-as-you-go usage	—
Developer (Dedicated Deployments) usage	—
Enterprise enterprise	—

Plan details, limits and sources →

Rate limits

Serverless Token Allowance (Free): ~1M tokens/day, ~10M tokens/month (free tier) tokens
Serverless Throughput: see provider console requests
Dedicated Deployment Throughput: scales with GPU accelerator and replica count requests

Compiled by API Evangelist, not yet checked against Predibase's documentation. All 5 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Predibase Plans Pricing

4 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Predibase Rate Limits

5 limits

RATE LIMITS

Service Levels 1

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

Predibase

SLA

FinOps 1

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

Predibase Finops

FINOPS

Event Specifications 1

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

Predibase Inference Streaming (HTTP + SSE)

AsyncAPI 2.6 description of Predibase's **inference streaming** surface. Predibase does not publish a WebSocket API. The only asynchronous / event-style transport documented at ...

ASYNCAPI

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Predibase — asyncapi rules

8 rules · 1 errors 7 warnings

SPECTRAL

Security Posture 2

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

Predibase Authentication

http · 1 scheme

SECURITY

Predibase Domain Security

TLSv1.3 · DMARC

SECURITY

Agentic Access 1

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

Predibase Agentic Access

23 operations · 12 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 2

The organization behind the API

LinkedIn

Website

Website

Other 1

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Source (apis.yml)

aid: predibase
url: https://raw.githubusercontent.com/api-evangelist/predibase/refs/heads/main/apis.yml
name: Predibase
kind: company
description: Predibase is a platform for fine-tuning and serving open-source LLMs. It pairs efficient LoRA / Turbo LoRA supervised
  and reinforcement (GRPO) fine-tuning with serverless and dedicated inference powered by LoRAX, the open-source multi-LoRA
  serving stack that packs hundreds of adapters onto a single GPU. Inference is exposed through an OpenAI-compatible API plus
  native generate endpoints.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  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
  - url: https://predibase.com
    status: 301
    note: declared website redirects to https://www.rubrik.com/products/rubrik-agent-cloud — a different registrable domain
      (predibase.com -> rubrik.com), possible rename or acquisition (probed 2026-09-03, roadmap#169)
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/predibase.png
tags:
- Artificial Intelligence
- LLM
- Fine-Tuning
- Inference
- LoRA
- Real-Time
tags_raw:
- AI
- LLM
- Fine-Tuning
- Inference
- LoRA
- Real-Time
created: '2026-06-20'
modified: '2026-06-20'
specificationVersion: '0.23'
apis:
- aid: predibase:predibase-adapters-api
  name: Predibase Adapters API
  description: The Adapters API from Predibase — 2 operation(s) for adapters.
  humanURL: https://docs.predibase.com/user-guide/inference/migrate-openai
  baseURL: https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/v1
  tags:
  - Adapters
  properties:
  - type: OpenAPI
    url: openapi/predibase-adapters-api-openapi.yml
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/migrate-openai
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: AsyncAPI
    url: asyncapi/predibase-asyncapi.yml
  - type: PostmanCollection
    url: collections/predibase.postman_collection.json
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/querying-models/text-generation
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/overview
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/grpo
  - type: Documentation
    url: https://docs.predibase.com/fine-tuning/adapters
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/dedicated_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/private_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/getting-started/fine-tuning-and-serving
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/models
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/BatchInference
- aid: predibase:predibase-batch-inference-api
  name: Predibase Batch Inference API
  description: The Batch Inference API from Predibase — 2 operation(s) for batch inference.
  humanURL: https://docs.predibase.com/user-guide/inference/migrate-openai
  baseURL: https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/v1
  tags:
  - Batch Inference
  properties:
  - type: OpenAPI
    url: openapi/predibase-batch-inference-api-openapi.yml
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/migrate-openai
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: AsyncAPI
    url: asyncapi/predibase-asyncapi.yml
  - type: PostmanCollection
    url: collections/predibase.postman_collection.json
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/querying-models/text-generation
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/overview
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/grpo
  - type: Documentation
    url: https://docs.predibase.com/fine-tuning/adapters
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/dedicated_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/private_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/getting-started/fine-tuning-and-serving
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/models
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/BatchInference
- aid: predibase:predibase-datasets-api
  name: Predibase Datasets API
  description: The Datasets API from Predibase — 2 operation(s) for datasets.
  humanURL: https://docs.predibase.com/user-guide/inference/migrate-openai
  baseURL: https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/v1
  tags:
  - Datasets
  properties:
  - type: OpenAPI
    url: openapi/predibase-datasets-api-openapi.yml
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/migrate-openai
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: AsyncAPI
    url: asyncapi/predibase-asyncapi.yml
  - type: PostmanCollection
    url: collections/predibase.postman_collection.json
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/querying-models/text-generation
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/overview
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/grpo
  - type: Documentation
    url: https://docs.predibase.com/fine-tuning/adapters
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/dedicated_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/private_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/getting-started/fine-tuning-and-serving
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/models
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/BatchInference
- aid: predibase:predibase-deployments-api
  name: Predibase Deployments API
  description: The Deployments API from Predibase — 2 operation(s) for deployments.
  humanURL: https://docs.predibase.com/user-guide/inference/migrate-openai
  baseURL: https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/v1
  tags:
  - Deployment
  tags_raw:
  - Deployments
  properties:
  - type: OpenAPI
    url: openapi/predibase-deployments-api-openapi.yml
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/migrate-openai
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: AsyncAPI
    url: asyncapi/predibase-asyncapi.yml
  - type: PostmanCollection
    url: collections/predibase.postman_collection.json
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/querying-models/text-generation
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/overview
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/grpo
  - type: Documentation
    url: https://docs.predibase.com/fine-tuning/adapters
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/dedicated_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/private_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/getting-started/fine-tuning-and-serving
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/models
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/BatchInference
- aid: predibase:predibase-fine-tuning-api
  name: Predibase Fine-Tuning API
  description: The Fine-Tuning API from Predibase — 3 operation(s) for fine-tuning.
  humanURL: https://docs.predibase.com/user-guide/inference/migrate-openai
  baseURL: https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/v1
  tags:
  - Fine-Tuning
  properties:
  - type: OpenAPI
    url: openapi/predibase-fine-tuning-api-openapi.yml
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/migrate-openai
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: AsyncAPI
    url: asyncapi/predibase-asyncapi.yml
  - type: PostmanCollection
    url: collections/predibase.postman_collection.json
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/querying-models/text-generation
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/overview
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/grpo
  - type: Documentation
    url: https://docs.predibase.com/fine-tuning/adapters
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/dedicated_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/private_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/getting-started/fine-tuning-and-serving
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/models
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/BatchInference
- aid: predibase:predibase-inference-api
  name: Predibase Inference API
  description: The Inference API from Predibase — 4 operation(s) for inference.
  humanURL: https://docs.predibase.com/user-guide/inference/migrate-openai
  baseURL: https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/v1
  tags:
  - Inference
  properties:
  - type: OpenAPI
    url: openapi/predibase-inference-api-openapi.yml
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/migrate-openai
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: AsyncAPI
    url: asyncapi/predibase-asyncapi.yml
  - type: PostmanCollection
    url: collections/predibase.postman_collection.json
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/querying-models/text-generation
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/overview
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/grpo
  - type: Documentation
    url: https://docs.predibase.com/fine-tuning/adapters
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/dedicated_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/private_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/getting-started/fine-tuning-and-serving
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/models
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/BatchInference
- aid: predibase:predibase-models-api
  name: Predibase Models API
  description: The Models API from Predibase — 1 operation(s) for models.
  humanURL: https://docs.predibase.com/user-guide/inference/migrate-openai
  baseURL: https://serving.app.predibase.com/{tenant}/deployments/v2/llms/{model}/v1
  tags:
  - Models
  properties:
  - type: OpenAPI
    url: openapi/predibase-models-api-openapi.yml
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/migrate-openai
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: AsyncAPI
    url: asyncapi/predibase-asyncapi.yml
  - type: PostmanCollection
    url: collections/predibase.postman_collection.json
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/rest_api
  - type: APIReference
    url: https://docs.predibase.com/user-guide/inference/querying-models/text-generation
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/overview
  - type: Documentation
    url: https://docs.predibase.com/user-guide/fine-tuning/grpo
  - type: Documentation
    url: https://docs.predibase.com/fine-tuning/adapters
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/dedicated_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/private_deployments
  - type: Documentation
    url: https://docs.predibase.com/user-guide/getting-started/fine-tuning-and-serving
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/models
  - type: Documentation
    url: https://docs.predibase.com/user-guide/inference/BatchInference
common:
- type: CapabilityMap
  url: capabilities/predibase-capability-edges.yml
  name: Predibase Business Capability Map
- type: AgenticAccess
  url: agentic-access/predibase-agentic-access.yml
- type: DomainSecurity
  url: security/predibase-domain-security.yml
- type: Authentication
  url: authentication/predibase-authentication.yml
- type: GitHubOrganization
  url: https://github.com/predibase
- type: LinkedIn
  url: https://www.linkedin.com/company/predibase
- type: Website
  url: https://predibase.com
- type: Documentation
  url: https://docs.predibase.com
- type: Plans
  url: plans/predibase-plans-pricing.yml
- type: RateLimits
  url: rate-limits/predibase-rate-limits.yml
- type: FinOps
  url: finops/predibase-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Predibase API — frequently asked questions

Does Predibase have an API?

Yes. APIs.io lists 7 APIs from Predibase, including Predibase Adapters API, Predibase Batch Inference API and Predibase Datasets API, and 4 more.

Is there an OpenAPI specification for the Predibase API?

Yes. APIs.io indexes 7 OpenAPI specifications for Predibase, each linked for download from this page.

How do I authenticate with the Predibase API?

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

How much does the Predibase API cost?

APIs.io lists 4 pricing plans for Predibase, with each plan's price, limits and inclusions under Pricing on this page.

Is the Predibase API ready for AI agents?

Predibase has a Kin Score of 27.9 out of 100 (thin) and an Agent Readiness score of 22.4 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/predibase"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/predibase/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/predibase/evidence"

Calls without X-API-Key need no key. Calls with it need a paid plan — get a key.

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