Airroi Airbnb API & Short-Term Rental Data API | AirROI
67
AI ReadinessAI-Aware (B)67/100
Official vendor OpenAPI document · agent-readyAnalyticsBusiness IntelligenceapiKey29 EndpointsREST
For Agents
Pull short-term rental data for Airbnb listings and markets, find comparables, read occupancy and RevPAR metrics, estimate revenue potential, and get price recommendations.
Use for: I need to estimate the revenue potential of a rental in a city, Find comparable Airbnb listings near a property, Get the occupancy rate for a short-term rental market, Retrieve the average daily rate and RevPAR for a market
Not supported: Does not handle booking, payments, or property management. Use for short-term rental market data and pricing analytics only.
The AirROI API delivers short-term rental market data and revenue analytics for Airbnb and vacation rental properties. It returns property-level detail for individual listings, finds comparable listings, and searches a market by name, radius, or polygon, while its market endpoints report occupancy, average daily rate, RevPAR, revenue, booking lead time, and length of stay. On top of the raw data it estimates a listing's revenue potential and recommends a base price and calendar prices.
Install Jentic One Beta
Connect the Airbnb API & Short-Term Rental Data API | AirROI to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Airbnb API & Short-Term Rental Data API | AirROI, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
1
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fairroi.com%2Fairroi" | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fairroi.com%2Fairroi" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with Airbnb API & Short-Term Rental Data API | AirROI API.
Retrieve property-level detail for a single short-term rental listing
Find comparable listings for a given property
Search listings within a named market, radius, or map polygon
Report market metrics including occupancy, average daily rate, and RevPAR
Estimate a listing's revenue potential for an area
Recommend a base price and calendar prices for a listing
Use Cases
Patterns agents use Airbnb API & Short-Term Rental Data API | AirROI API for, with concrete tasks.
★ Agent-driven rental investment research
An AI agent connected through Jentic researches a short-term rental opportunity end to end: it looks up the market, estimates revenue potential, pulls occupancy and average daily rate, and gathers comparable listings. Because the agent finds operations by intent, it can answer 'is this a good market to buy in' from live AirROI data without a developer wiring each metric call.
Look up a market by name, estimate revenue potential for a three-bedroom listing there, and return occupancy and average daily rate for that market
Dynamic pricing recommendations
Property managers can let an agent price a listing from market data: the API recommends a base price and per-night calendar prices informed by live rates and demand. The agent reads a listing's future rates and comparable listings, then applies the recommended prices, turning a manual pricing review into an automated one grounded in AirROI's market analytics.
Fetch comparable listings for a property, request a recommended base price, and return calendar prices for the next 30 nights
Market benchmarking reports
The market endpoints let an agent benchmark an area across occupancy, revenue, booking lead time, length of stay, and active listing counts. An agent can assemble a market summary that a report or dashboard cites, giving analysts a current read on supply and demand without scraping listing sites by hand.
Request a market summary and the occupancy and revenue metrics for a city, then return a benchmark of supply and demand
Key Endpoints
29 endpoints — the airroi api delivers short-term rental market data and revenue analytics for airbnb and vacation rental properties.
METHOD
PATH
DESCRIPTION
GET
/listings
Retrieve a single listing
GET
/listings/comparables
Get comparable listings
POST
/listings/search/market
Search listings by market
GET
/calculator/estimate
Estimate a listing's revenue potential
POST
/price-recommendation/base-price
Recommend a base price
GET
/markets/search
Find a market by name
POST
/markets/summary
Get a market summary
POST
/markets/metrics/occupancy
Get market occupancy
GET
/listings
Retrieve a single listing
GET
/listings/comparables
Get comparable listings
POST
/listings/search/market
Search listings by market
GET
/calculator/estimate
Estimate a listing's revenue potential
POST
/price-recommendation/base-price
Recommend a base price
GET
/markets/search
Find a market by name
POST
/markets/summary
Get a market summary
POST
/markets/metrics/occupancy
Get market occupancy
Jentic AI Readiness Score
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
A
Airbnb API & Short-Term Rental Data API | AirROI
- AI-Aware (B)67/100
62
Foundational Compliance73
Developer Experience & Jentic Compatibility62
AI-Readiness & Agent Experience94
Agent Usability50
Security65
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.2
Show dimension breakdown
62
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: B-Signals: 4
89%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
0%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
60%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
73
Developer Experience & Jentic Compatibility
Clarity, completeness, and ingestion readiness for developers and tooling.
Grade: A-Signals: 4
42%
Example Density
How richly the API is illustrated with examples.
100%
Example Validity
Percentage of examples that conform to their schemas.
51%
Response Coverage
Percentage of operations with complete response definitions (success, client error, server error).
100%
Tooling Readiness
Health of API ingestion, bundling, and resolution within Jentic pipelines.
62
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: B-Signals: 4
67%
Description Coverage
Coverage of descriptions across API elements.
0%
Error Standardization
Coverage of RFC 9457 Problem Details for error responses.
100%
OperationId Quality
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
83%
Summary Coverage
Coverage of summaries across operations/tags/info.
94
Agent Usability
Functional utility, complexity comfort, and AI orchestration readiness.
Grade: A+Signals: 1
94%
Complexity Comfort
Agent comfort level based on API operational and structural complexity.
50
Security
Trust, risk posture, and security compliance.
Grade: C-Signals: 1
50%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
65
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: BSignals: 1
65%
Descriptive Richness
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the AirROI API by hand means handling its x-api-key auth and learning its listing and market query shapes before you can pull a single metric. Through Jentic you install once, import the API from the Directory, store the key once, and your agent calls it.
Permission scoping
The AirROI API is read-only market data whose queries travel in the request body, so a rule bounds which operations your agent may call: you can allow listing and market reads while leaving anything else out unless you add it. You choose the operations it may use.
Credential isolation
Your AirROI API key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'estimate rental revenue' or 'get market occupancy', and Jentic returns the matching AirROI operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using Airbnb API & Short-Term Rental Data API | AirROI API through Jentic.
What authentication does the AirROI API use?
The AirROI API authenticates with an API key sent in the x-api-key request header, as declared in its OpenAPI spec. Through Jentic the key is stored once by your own self-hosted instance and injected at call time, so it never appears in the agent's prompt or logs.
Can I estimate rental revenue with the AirROI API?
Yes. The calculator estimates a listing's revenue potential for an area, and the price-recommendation endpoints return a base price and per-night calendar prices. You can combine these with comparable listings and market occupancy to ground an investment or pricing decision.
Is there an AirROI MCP server?
You do not need an MCP server to give your agent the AirROI API. Jentic connects it directly from the API Directory: import the API, store your API key once, and your agent calls listing and market operations on demand without loading another server's tool definitions into its context.
Can I limit what my agent is allowed to do with the AirROI API?
Yes. Write a rule that allows only the read operations for listings and market metrics, so the agent can research and benchmark markets but cannot call anything you did not approve, and every call it makes is logged for review. The AirROI API is read-only market data, so scoping keeps the agent to the queries you intend.
What are the rate limits for the AirROI API?
The OpenAPI spec does not state numeric rate limits for the AirROI API. Check the vendor documentation at https://www.airroi.com for current limits before running large batch or scan workloads.
How do I get a revenue estimate from the AirROI API through Jentic?
Search Jentic for an intent such as 'estimate rental revenue', and it returns the matching operation with its input schema so your agent passes the location and listing details correctly. To run it on your own infrastructure, install Jentic One from its GitHub repo.
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