Pruna AI

Pruna AI builds Performance Models (P-Series) — optimized image and video generation models engineered to be faster, cheaper, and smaller than standard alternatives while keeping quality high. It ships three ways: a hosted HTTP API (P-API) that exposes ~20 models (text-to-image, image editing, upscaling, virtual try-on, text/image-to-video, avatar, animation and replacement, plus LoRA trainers) behind a single endpoint selected via a request header; an open-source Python optimization framework (pruna / pruna-pro) for caching, quantization, pruning, distillation and compilation of your own models; and hosted demos. The P-API uses apikey-header auth with an async submit/poll/download workflow and an optional synchronous mode. Pruna AI is a portfolio company of EQT Ventures.

Pruna AI publishes 3 API contracts indexed on the APIs.io network: Content Delivery API, File Management API, and Predictions API. Tagged areas include Company, Artificial Intelligence, Machine Learning, Image Generation, and Video Generation.

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

Pruna AI’s developer surface includes documentation, API reference, getting-started guide, signup flow, pricing, engineering blog, support, and 23 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

56.1/100 strong ▬ flat Agent 37/100 agent ready Front door AI 3/6 light Heartbeat 75/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

1 published contract 3 Agent Skills

Company Artificial Intelligence Machine Learning Image Generation Video Generation Generative AI Model Optimization Inference Developer Tools

What this lets a business do 1

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

AI Model Services

AE-110

Predictions

POST /v1/predictions

Kin Score

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

Composite quality — 56.1/100 · strong

Contract Quality 11.0 / 19

Developer Ergonomics 11.0 / 15

Access Clarity 10.7 / 15

Operational Transparency 2.3 / 10

Contract Governance 1.6 / 9

Discoverability 5.5 / 8

Regulatory Posture 3.4 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 37/100 · agent ready

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 8 / 8

Request/Response Examples 7 / 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 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):

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)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks

5 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 58.5 — up to +10.4 composite points
Operational Transparency scores 23.7 — up to +9.9 composite points
Contract Governance scores 18.2 — up to +9.8 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/pruna-ai/apis.yml: open an issue on github.com/api-evangelist/pruna-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 →

Standards implemented 1

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.

OpenAPI

measured — observed by APIs.io (published)

APIs 3

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

Pruna AI Content Delivery API

Download generated content files

Pruna AI File Management API

Upload files to be used as input for predictions

Pruna AI Predictions API

Core prediction workflow operations

Open Collections 3

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

P Content Delivery API

OPEN COLLECTION

P Content Delivery File Management API

OPEN COLLECTION

P Content Delivery Predictions API

OPEN COLLECTION

Agent Skills 3

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

Edit images with Pruna P-API

AGENT SKILL

Generate an image with Pruna P-API

AGENT SKILL

Generate a video with Pruna P-API

AGENT SKILL

Pruna AI API pricing

Prices published by Pruna AI, read 2026-10-07 from www.pruna.ai/pricing.

Plan	Price
P-Video-2-Pro	$0.01/ second
P-Video-2	$0.025/ second
P-Video-Edit	$0.045/ second
P-Image-Ideogram	$0.015/ second
P-Image-Try-On	$0.015/ first garment & $0.008/ additional garment
P-Video-Replace	$0.03/ second
P-Video-Avatar	$0.025/ second
P-Video	$0.02/ second

All 14 plans, limits and sources →

Billed by: second · FinOps profile →

Pricing Plans 1

Published pricing tiers and plan structures.

Pruna Ai Plans Pricing

14 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Pruna Ai Rate Limits

1 limits

RATE LIMITS

Service Levels 1

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

Pruna AI

SLA

FinOps 1

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

Pruna Ai Finops

FINOPS

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Pruna AI API Rules

62 rules · 60 errors 1 warnings 1 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.

Pruna Ai Openapi Overlay

3 actions · update · pruna-ai-openapi.yml

DERIVED

Security Posture 2

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

Pruna Ai Authentication

apiKey · 1 scheme

SECURITY

Pruna Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

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

Pruna Ai Agentic Access

4 operations · 2 acting

AGENTIC

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

GettingStarted

SignUp

Sandbox

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate

LLMsTxt

AgentSkill

AgenticAccess

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

Conformance

DataModel

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 2

Status, limits, changes, and where to get help

Support

Support

RateLimits

RateLimits

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

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: pruna-ai
name: Pruna AI
description: 'Pruna AI builds Performance Models (P-Series) — optimized image and video generation models engineered to be
  faster, cheaper, and smaller than standard alternatives while keeping quality high. It ships three ways: a hosted HTTP API
  (P-API) that exposes ~20 models (text-to-image, image editing, upscaling, virtual try-on, text/image-to-video, avatar, animation
  and replacement, plus LoRA trainers) behind a single endpoint selected via a request header; an open-source Python optimization
  framework (pruna / pruna-pro) for caching, quantization, pruning, distillation and compilation of your own models; and hosted
  demos. The P-API uses apikey-header auth with an async submit/poll/download workflow and an optional synchronous mode. Pruna
  AI is a portfolio company of EQT Ventures.'
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: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: high
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
image: https://framerusercontent.com/images/tM3dYw39zvWf45dsZXfTkZm0jNc.png
url: https://raw.githubusercontent.com/api-evangelist/pruna-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- eqt-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 19
  pass: local-v1
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Image Generation
- Video Generation
- Generative AI
- Model Optimization
- Inference
- Developer Tools
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Image Generation
- Video Generation
- Generative AI
- Model Optimization
- Inference
- Developer Tools
- Machine-Learning
- Image-Generation
apis:
- aid: pruna-ai:pruna-ai-content-delivery-api
  name: Pruna AI Content Delivery API
  description: Download generated content files
  humanURL: https://docs.api.pruna.ai/
  baseURL: https://api.pruna.ai
  tags:
  - Content Delivery
  properties:
  - type: OpenAPI
    url: openapi/pruna-ai-content-delivery-api-openapi.yml
  - type: Documentation
    url: https://docs.api.pruna.ai/
  - type: APIReference
    url: https://docs.api.pruna.ai/apis/models-api-0/versions/d086a242-3813-4148-a087-e724d4b333f8
  - type: GettingStarted
    url: https://docs.api.pruna.ai/guides/quickstart
- aid: pruna-ai:pruna-ai-file-management-api
  name: Pruna AI File Management API
  description: Upload files to be used as input for predictions
  humanURL: https://docs.api.pruna.ai/
  baseURL: https://api.pruna.ai
  tags:
  - File Management
  properties:
  - type: OpenAPI
    url: openapi/pruna-ai-file-management-api-openapi.yml
  - type: Documentation
    url: https://docs.api.pruna.ai/
  - type: APIReference
    url: https://docs.api.pruna.ai/apis/models-api-0/versions/d086a242-3813-4148-a087-e724d4b333f8
  - type: GettingStarted
    url: https://docs.api.pruna.ai/guides/quickstart
- aid: pruna-ai:pruna-ai-predictions-api
  name: Pruna AI Predictions API
  description: Core prediction workflow operations
  humanURL: https://docs.api.pruna.ai/
  baseURL: https://api.pruna.ai
  tags:
  - Predictions
  properties:
  - type: OpenAPI
    url: openapi/pruna-ai-predictions-api-openapi.yml
  - type: Documentation
    url: https://docs.api.pruna.ai/
  - type: APIReference
    url: https://docs.api.pruna.ai/apis/models-api-0/versions/d086a242-3813-4148-a087-e724d4b333f8
  - type: GettingStarted
    url: https://docs.api.pruna.ai/guides/quickstart
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: CapabilityMap
  url: capabilities/pruna-ai-capability-edges.yml
  name: Pruna AI Business Capability Map
- type: Plans
  url: plans/pruna-ai-plans-pricing.yml
- type: Overlay
  url: overlays/pruna-ai-openapi-overlay.yaml
- type: DeveloperPortal
  url: https://docs.api.pruna.ai/
- type: Documentation
  url: https://docs.pruna.ai/en/stable/
- type: APIReference
  url: https://docs.api.pruna.ai/apis/models-api-0/versions/d086a242-3813-4148-a087-e724d4b333f8
- type: GettingStarted
  url: https://docs.api.pruna.ai/guides/quickstart
- type: SignUp
  url: https://dashboard.pruna.ai/login
- type: Pricing
  url: https://www.pruna.ai/pricing
- type: Blog
  url: https://www.pruna.ai/blog
- type: Support
  url: https://discord.gg/JFQmtFKCjd
- type: GitHubOrganization
  url: https://github.com/PrunaAI
- type: TermsOfService
  url: https://docs.api.pruna.ai/terms
- type: PrivacyPolicy
  url: https://www.pruna.ai/privacy-notice
- type: Sandbox
  url: https://demo.pruna.ai/
- type: Authentication
  url: authentication/pruna-ai-authentication.yml
- type: Conventions
  url: conventions/pruna-ai-conventions.yml
- type: ErrorCatalog
  url: errors/pruna-ai-problem-types.yml
- type: Lifecycle
  url: lifecycle/pruna-ai-lifecycle.yml
- type: Conformance
  url: conformance/pruna-ai-conformance.yml
- type: DataModel
  url: data-model/pruna-ai-data-model.yml
- type: RateLimits
  url: rate-limits/pruna-ai-rate-limits.yml
- type: Packages
  url: packages/pruna-ai-packages.yml
- type: SDKs
  url: packages/pruna-ai-packages.yml
- type: X-MCPServerCandidate
  url: mcp/pruna-ai-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/pruna-ai-llms.txt
- type: AgentSkill
  url: skills/_index.yml
- type: AgenticAccess
  url: agentic-access/pruna-ai-agentic-access.yml
- type: DomainSecurity
  url: security/pruna-ai-domain-security.yml
- type: Website
  url: https://www.pruna.ai/

Pruna AI API — frequently asked questions

Does Pruna AI have an API?

Yes. APIs.io lists 3 APIs from Pruna AI, including Pruna AI Content Delivery API, Pruna AI File Management API and Pruna AI Predictions API.

Is there an OpenAPI specification for the Pruna AI API?

Yes. APIs.io indexes 3 OpenAPI specifications for Pruna AI, each linked for download from this page.

How do I authenticate with the Pruna AI API?

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

How much does the Pruna AI API cost?

Pruna AI publishes its prices; its P-Video-2-Pro plan is $0.01/ second as of 2026-10-07. APIs.io lists 14 pricing plans for Pruna AI, with each plan's price, limits and inclusions under Pricing on this page.

Is the Pruna AI API ready for AI agents?

Pruna AI has a Kin Score of 56.1 out of 100 (strong) and an Agent Readiness score of 37.1 (agent-ready), scored by API Evangelist on 2026-11-06.

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