Parea AI

Parea AI is an LLM evaluation, testing, and observability platform designed for AI engineering teams building production-ready LLM applications. The platform provides a REST API for managing prompt versions, running automated test suites, collecting human feedback, and tracking quality metrics across model versions. Parea supports experiment tracking with aggregate statistics, trace logging for end-to-end observability, and an LLM proxy gateway that enables unified access to multiple model providers with built-in caching and retries. Native SDKs for Python and TypeScript integrate with popular frameworks including OpenAI, Anthropic, LangChain, Instructor, DSPy, and LiteLLM, making it easy to instrument existing applications.

Parea AI publishes 1 API contract indexed on the APIs.io network: Parea API. Tagged areas include LLM, Evaluation, Observability, Testing, and Prompt Management.

The Parea AI catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Parea AI’s developer surface includes authentication, documentation, engineering blog, pricing, and 13 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

37.3/100 thin ▬ flat Agent 25/100 agent aware Heartbeat 0/100 dormant 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

LLM Evaluation Observability Testing Prompt Management AI Engineering Machine Learning Tracing Experimentation Human Feedback

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

Parea

Kin Score

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

Composite quality — 37.3/100 · thin

Contract Quality 10.6 / 19

Developer Ergonomics 3.6 / 15

Access Clarity 2.0 / 15

Operational Transparency 1.3 / 10

Contract Governance 2.1 / 9

Discoverability 5.0 / 8

Regulatory Posture 3.7 / 15

Create-or-Update Ergonomics 3.9 / 10

Agent readiness — 25/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 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)
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
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)

8 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 13.2 — up to +17.4 composite points
Developer Ergonomics scores 23.8 — up to +15.2 composite points
Operational Transparency scores 13.2 — up to +11.3 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/parea/apis.yml: open an issue on github.com/api-evangelist/parea 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 2

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)

OAuth 2.0

measured — observed by APIs.io (declared)

APIs 1

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

Parea AI Parea API

The Parea API from Parea AI — 19 operation(s) for parea.

Open Collections 1

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

AI REST Parea API

OPEN COLLECTION

Parea AI API pricing

Not yet checked against Parea AI's own pricing page. Compiled by API Evangelist; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Free	Free
Team	$150
Enterprise	—
AI Consulting	—

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Parea Plans Pricing

4 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Parea 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.

Parea AI

SLA

FinOps 1

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

Parea Finops

FINOPS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Parea Context

8 classes · 25 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Parea AI — jsonschema rules

5 rules · 4 warnings 1 info

SPECTRAL

43 properties

JSON SCHEMA

Scroll for all 10

Security Posture 2

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

Parea Authentication

apiKey/oauth2 · 2 schemes

SECURITY

Parea Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Parea Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Agentic Access 1

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

Parea Agentic Access

20 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

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Vocabulary

Vocabulary

JSONLDContext

JSONLDContext

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrg

GitHubOrg

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

OAuthScopes

OAuthScopes

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

Plans

Plans

FinOps

FinOps

Company 3

The organization behind the API

Website

Website

LinkedIn

Blog

Blog

Other 2

Properties that don't map to a standard resource type

CapabilityMap

CapabilityMap

Source (apis.yml)

aid: parea
name: Parea AI
description: Parea AI is an LLM evaluation, testing, and observability platform designed for AI engineering teams building
  production-ready LLM applications. The platform provides a REST API for managing prompt versions, running automated test
  suites, collecting human feedback, and tracking quality metrics across model versions. Parea supports experiment tracking
  with aggregate statistics, trace logging for end-to-end observability, and an LLM proxy gateway that enables unified access
  to multiple model providers with built-in caching and retries. Native SDKs for Python and TypeScript integrate with popular
  frameworks including OpenAI, Anthropic, LangChain, Instructor, DSPy, and LiteLLM, making it easy to instrument existing
  applications.
type: Index
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
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/parea.png
url: https://raw.githubusercontent.com/api-evangelist/parea/refs/heads/main/apis.yml
created: 2026-06-13
modified: 2026-06-13
specificationVersion: '0.23'
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-04
x-docs-hosting: vercel
tags:
- LLM
- Evaluation
- Observability
- Testing
- Prompt Management
- AI Engineering
- Machine Learning
- Tracing
- Experimentation
- Human Feedback
tags_raw:
- LLM
- Evaluation
- Observability
- Testing
- Prompt Management
- AI Engineering
- Machine Learning
- Tracing
- Experimentation
- Human Feedback
- Machine-Learning
apis:
- aid: parea:parea-parea-api
  name: Parea AI Parea API
  description: The Parea API from Parea AI — 19 operation(s) for parea.
  humanURL: https://docs.parea.ai/tutorials/api-only/cookbook
  baseURL: https://parea-ai-backend-us-9ac16cdbc7a7b006.onporter.run
  tags:
  - Parea
  properties:
  - type: OpenAPI
    url: openapi/parea-parea-api-openapi.yml
  - type: Documentation
    url: https://docs.parea.ai
common:
- type: CapabilityMap
  url: capabilities/parea-capability-edges.yml
  name: Parea AI Business Capability Map
- type: AgenticAccess
  url: agentic-access/parea-agentic-access.yml
- type: DomainSecurity
  url: security/parea-domain-security.yml
- type: Authentication
  url: authentication/parea-authentication.yml
- type: OAuthScopes
  url: scopes/parea-scopes.yml
- type: Website
  url: https://www.parea.ai/
- type: Documentation
  url: https://docs.parea.ai
- type: GitHubOrg
  url: https://github.com/parea-ai
- type: LinkedIn
  url: https://www.linkedin.com/company/parea-ai/
- type: Blog
  url: https://docs.parea.ai/blog/
- type: Pricing
  url: https://www.parea.ai/#pricing
- type: X
  url: https://twitter.com/PareaAI
- type: Plans
  url: plans/parea-plans-pricing.yml
- type: RateLimits
  url: rate-limits/parea-rate-limits.yml
- type: FinOps
  url: finops/parea-finops.yml
- type: Vocabulary
  url: vocabulary/parea-vocabulary.yml
- type: JSONLDContext
  url: json-ld/parea-context.jsonld
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Parea AI API — frequently asked questions

Does Parea AI have an API?

Yes. APIs.io lists 1 API from Parea AI, including Parea AI Parea API.

Is there an OpenAPI specification for the Parea AI API?

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

How do I authenticate with the Parea AI API?

Parea AI uses bearer-token authentication (apiKey/oauth2 · 2 schemes). The details are profiled on APIs.io as Parea Authentication.

How much does the Parea AI API cost?

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

Is the Parea AI API ready for AI agents?

Parea AI has a Kin Score of 37.3 out of 100 (thin) and an Agent Readiness score of 25.3 (agent-aware), scored by API Evangelist on 2026-11-06.

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