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Yelp

Yelp connects people with great local businesses. The Yelp Fusion API gives developers programmatic access to Yelp's database of millions of local businesses, ratings, reviews, photos, events, and category taxonomy, plus the Yelp Fusion AI conversational search endpoint. Core public capabilities include business search and discovery, business details, review excerpts, autocomplete, phone and address matching, and local event search. Partner-tier APIs add reviews response, leads, advertising, reservations, waitlist, checkout, and reporting. Authentication uses a Yelp API key passed as a bearer token.

agent ready

Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.

Kin Score

API Evangelist profiles Yelp the way a machine reads it — 75 machine-readable artifacts across 5 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Yelp scores 73.8/100 (exemplar), with a separate agent-readiness read of 56/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 73.8/100 · exemplar
Contract Quality 20.6 / 25
Developer Ergonomics 13.9 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 6.8 / 13
Governance 10.4 / 12
Discoverability 10.0 / 10
Agent readiness — 56/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
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

How we profile Yelp

Each block below is one kind of artifact we hold for Yelp. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 5

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

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

Yelp AI API

Conversational Yelp Fusion AI search and chat

Yelp Businesses API

Search, match, and retrieve local business data

Yelp Categories API

Yelp business category taxonomy

Yelp Events API

Local event search and details

Yelp Reviews API

Business review excerpts and ratings

Open Collections 1

Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.

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

Yelp Fusion API

OPEN COLLECTION

GraphQL 1

Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.

GraphQL schemas published by this provider.

Yelp GraphQL API

Yelp exposes a GraphQL endpoint alongside its REST Fusion API, available at `https://api.yelp.com/v3/graphql`. The same bearer-token authentication used for the REST API applies...

GRAPHQL

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Yelp Plans Pricing

5 plans

PLANS

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Yelp Rate Limits

4 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

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

Yelp Finops

FINOPS

Features 8

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Business Search

Search up to 240 businesses by location, term, category, price, and attributes.

Business Details

Retrieve rich detail for a business by id or alias, including hours, photos, and attributes.

Reviews

Retrieve review excerpts, ratings, and reviewer details for a business.

Autocomplete

Return search-term, business, and category suggestions as the user types.

Phone and Address Match

Resolve a phone number or postal address to Yelp businesses.

Events

Search and retrieve local events with timing, location, cost, and ticketing.

Category Taxonomy

Access the full Yelp business category list and per-category details.

Fusion AI

Natural language, multi-turn conversational search and business questions.

Scroll within the panel for all 8 ·

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

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

Yelp Fusion Api Context

13 classes · 80 properties

JSON-LD

Spectral Rules 2

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

Yelp API Rules

5 rules · 4 warnings

SPECTRAL

Yelp API Rules

39 rules · 6 errors · 24 warnings

SPECTRAL

JSON Schema 14

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

AiChatRequest

4 properties

JSON SCHEMA

AiChatResponse

5 properties

JSON SCHEMA

AutocompleteResponse

3 properties

JSON SCHEMA

BusinessDetail

0 properties

JSON SCHEMA

BusinessHours

3 properties

JSON SCHEMA

Business

17 properties

JSON SCHEMA

BusinessSearchResponse

3 properties

JSON SCHEMA

Category

5 properties

JSON SCHEMA

Coordinates

2 properties

JSON SCHEMA

Event

20 properties

JSON SCHEMA

EventSearchResponse

2 properties

JSON SCHEMA

Location

9 properties

JSON SCHEMA

Review

6 properties

JSON SCHEMA

ReviewsResponse

3 properties

JSON SCHEMA

Scroll within the panel for all 14 ·

JSON Structure 14

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Yelp Ai Chat Request Structure

4 properties

JSON STRUCTURE

Yelp Ai Chat Response Structure

5 properties

JSON STRUCTURE

Yelp Autocomplete Response Structure

3 properties

JSON STRUCTURE

Yelp Business Detail Structure

0 properties

JSON STRUCTURE

Yelp Business Hours Structure

3 properties

JSON STRUCTURE

Yelp Business Search Response Structure

3 properties

JSON STRUCTURE

Yelp Business Structure

17 properties

JSON STRUCTURE

Yelp Category Structure

5 properties

JSON STRUCTURE

Yelp Coordinates Structure

2 properties

JSON STRUCTURE

Yelp Event Search Response Structure

2 properties

JSON STRUCTURE

Yelp Event Structure

20 properties

JSON STRUCTURE

Yelp Location Structure

9 properties

JSON STRUCTURE

Yelp Review Structure

6 properties

JSON STRUCTURE

Yelp Reviews Response Structure

3 properties

JSON STRUCTURE

Scroll within the panel for all 14 ·

Examples 14

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Scroll within the panel for all 14 ·

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

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

Yelp Authentication

http · 1 scheme

SECURITY

Yelp Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Yelp Vulnerability Disclosure

Hackerone · security.txt · contact published

SECURITY

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

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

Yelp Agentic Access

11 operations · 1 acting

11 operations · 1 acting

AGENTIC

Use Cases 5

What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.

What developers build with this provider.

Restaurant Discovery

Power restaurant and food discovery experiences with search, ratings, and photos.

Location-Aware Recommendations

Surface nearby, open, and highly-rated businesses based on user coordinates.

Reputation Monitoring

Track ratings and review excerpts for a portfolio of businesses.

Conversational Concierge

Build AI agents that answer natural language questions about local businesses.

Local Events Listings

Embed curated local event listings into apps and sites.

Integrations 3

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

Zapier

Yelp Leads and Conversions APIs offer Zapier integrations for no-code workflows.

Model Context Protocol

Official Yelp MCP server exposes Fusion AI as an agent tool over MCP.

Webhooks

Reviews and Leads webhooks push real-time events to partner endpoints.

Resources

Every other property we hold for Yelp — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Operate 4

Status, limits, changes, and where to get help

Commercial 4

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/yelp · machine-readable index on apis.io