Install Jentic One Beta

Connect the PropertyPixel API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the PropertyPixel API, 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.

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%2Fpropertypixel.app%2Fpropertypixel" | sh

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%2Fpropertypixel.app%2Fpropertypixel" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic 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 PropertyPixel API.

Create a project for a property with a name, address, and property_type, then add photos by URL or signed upload

Enhance listing photos with enhancement types such as improve_lighting, day_to_dusk, blue_skies, and remove_furniture

Virtually stage empty rooms in a design_style such as modern, scandinavian, or japandi, with multiple variations

Generate a listing video from selected photos with a chosen clip length and aspect ratio such as 16:9 or 9:16

GET STARTED

Start building with PropertyPixel API

Explore with Jentic One

View OpenAPI Document

Use Cases

Patterns agents use PropertyPixel API for, with concrete tasks.

★ Agent-Run Listing Photo Prep

An AI agent connected through Jentic takes a new listing's photo URLs, creates a PropertyPixel project with the address and property_type, and adds the photos. It asks for edit recommendations, gets a quote for applying them, confirms with the user, and then polls the jobs until results are ready, so the listing photos are cleaned up without anyone opening the Studio.

Create a project named '12 Elm Street' with property_type house, add three photos by image_urls, get recommendations for all_photos, then quote apply_recommendations before confirming

Virtual Staging for Vacant Homes

Vacant rooms photograph poorly. A brokerage stages them virtually by sending photo ids with a design_style such as modern or coastal and a number of variations, then picks the best result per room. Because staging spends credits, the request can carry a quote_id from a prior quote so the cost is known before the job runs.

Quote stage_photos for photo ids p1 and p2 with design_style scandinavian, then stage them with that quote_id and pick one result per job

Listing Video Creation

Listing videos drive engagement on portals and social feeds. The PropertyPixel API builds a video from a project's photo_ids with a chosen clip length and an aspect_ratio of auto, 16:9, 9:16, or 1:1, so one photo set can produce a landscape video for the portal and a vertical one for social.

Create a video for project prj_123 from four photo_ids with aspect_ratio 9:16, then check the job status until it completes

Exterior Photo Enhancement

Exterior shots taken on grey days or with patchy lawns are fixed with enhancement types such as blue_skies, lawn_repair, rain_to_shine, and day_to_dusk. Results are returned as jobs; after picking the preferred versions, a zip download link gathers the picks for upload to the listing portal.

Enhance all_photos in project prj_123 with enhancement_types blue_skies and lawn_repair, pick the results, and request a download with picks_only set to true

Key Endpoints

23 endpoints — the propertypixel api edits real estate listing photos: it organizes them into projects, enhances them, virtually stages empty rooms, and turns them into listing videos.

METHOD

PATH

DESCRIPTION

POST

/projects

Create a project

POST

/projects/{project_id}/photos

Add photos to a project

POST

/enhancements

Enhance photos

POST

/stagings

Virtually stage photos

POST

/videos

Create a listing video

POST

/quotes

Quote the credit cost of an operation

GET

/jobs

Check job status

POST

/downloads

Get a zip download link

POST

/projects

Create a project

POST

/projects/{project_id}/photos

Add photos to a project

POST

/enhancements

Enhance photos

POST

/stagings

Virtually stage photos

POST

/videos

Create a listing video

POST

/quotes

Quote the credit cost of an operation

GET

/jobs

Check job status

POST

/downloads

Get a zip download link

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring PropertyPixel by hand means choosing between a pp_live_ bearer key and an OAuth 2.1 PKCE flow, running the quote and confirm step before credit-spending edits, and polling jobs until results land. Through Jentic you install once, import PropertyPixel from the API Directory, store the credential once, and your agent calls it.

Permission scoping

Most PropertyPixel edits carry the project and photo ids in the request body, so a rule bounds which operations your agent may call rather than which project. You choose the operations it may call, so credit-spending ones like staging or video creation, and destructive ones like project deletion, are not included unless you add them.

Credential isolation

Your PropertyPixel API key or OAuth token 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 'virtually stage a room photo' or 'turn a photo into a dusk shot', and Jentic returns the matching PropertyPixel operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

FAQs

Specific to using PropertyPixel API through Jentic.

What authentication does the PropertyPixel API use?

Per its OpenAPI spec, the PropertyPixel API accepts either a bearer API key (format pp_live_ followed by the key, created in Settings and then Developers) under the bearerAuth scheme, or an OAuth 2.1 access token from the authorization code flow with PKCE under the oauth2 scheme. Each credential is bound to one workspace and spends that workspace's credits. Through Jentic the credential is stored encrypted by your own Jentic One instance and injected at call time.

How does PropertyPixel charge credits for edits?

Operations that spend credits use a quote and confirm flow. You create a quote for an operation such as enhance_photos, stage_photos, apply_recommendations, or create_video, then pass its quote_id to the edit request, or set auto_confirm to skip the separate confirmation. The get account operation returns the workspace's credit balance and plan, so an agent can check the balance before it spends.

What are the rate limits for the PropertyPixel API?

The OpenAPI spec does not state a fixed numeric limit, but it documents RateLimit-Limit, RateLimit-Remaining, and RateLimit-Reset response headers, plus a Retry-After header for when to retry. Check https://docs.propertypixel.app for the limits on your plan.

Is there a PropertyPixel MCP server?

Yes. PropertyPixel offers an official MCP server at mcp.propertypixel.app that exposes the same operations as tools. You can also connect the PropertyPixel API directly through Jentic: your agent gets the full 23-endpoint surface without loading another server's tool definitions into its context, your credential is injected at call time by your self-hosted instance instead of living in an MCP config, and your rules decide which operations the agent may call.

Can I limit what my agent is allowed to do with the PropertyPixel API?

Yes. For example, write a rule that allows the create quote, get recommendations, and check job status operations, so the agent can price edits and report progress while every credit-spending edit and the delete project operation stay with you. Every call it makes is logged.

How do I virtually stage a room with the PropertyPixel API through Jentic?

Import the PropertyPixel API from the Jentic API Directory, store your API key once, and have your agent search Jentic for 'virtually stage a room photo'. Jentic returns the stage photos operation with its input schema, where design_style is required and photo_ids or all_photos select the images. To run it on your own infrastructure, install Jentic One from its GitHub repo.

Propertypixel App PropertyPixel API

AI ReadinessAI-Ready (A)83/100

See full scorecard

Official vendor OpenAPI document · agent-readyMediaImage Processingbearer, oauth223 EndpointsREST

For Agents

Create listing photo projects, enhance and virtually stage room photos, generate listing videos, and download the results from PropertyPixel, with a quote before any credits are spent.

Use for: Turn these daytime exterior photos into dusk shots, Virtually stage the empty living room in a scandinavian style, Make a vertical 9:16 video from this listing's photos for social media, How many credits will staging these five photos cost?

Not supported: Does not publish listings to portals, manage MLS records, or value properties. Use for editing, staging, and making videos from real estate photos only.

The PropertyPixel API edits real estate listing photos: it organizes them into projects, enhances them, virtually stages empty rooms, and turns them into listing videos. Enhancements include enhancement types such as improve_lighting, day_to_dusk, blue_skies, and remove_furniture, and staging takes a design_style such as scandinavian, japandi, or coastal. Credit-spending operations follow a quote and confirm flow, results come back as jobs you poll and pick from, and finished outputs download as a zip.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

100

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: A+Signals: 4

98%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

100%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

100%

Specification Validity

Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).

100%

Structural Integrity

Structural correctness score based on schema issues using logarithmic dampening.

Developer Experience & Jentic Compatibility

Clarity, completeness, and ingestion readiness for developers and tooling.

Grade: B+Signals: 4

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

75%

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.

AI-Readiness & Agent Experience

Semantic breadth, depth, and agent comprehension for AI systems.

Grade: A-Signals: 4

58%

Description Coverage

Coverage of descriptions across API elements.

100%

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

100%

OperationId Quality

Coverage, uniqueness, and casing consistency of operationIds for AI inference.

53%

Summary Coverage

Coverage of summaries across operations/tags/info.

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.

Security

Trust, risk posture, and security compliance.

Grade: A-Signals: 1

75%

Authentication Strength

Average quality of security schemes based on authentication method strength (weakest link for OAuth2).

AI Discoverability

Findability, semantic richness, and reasoning readiness.

Grade: A+Signals: 1

95%

Descriptive Richness

Clarity and depth of descriptions across API elements.

Connect the PropertyPixel API to your agent

Capabilities

Start building with PropertyPixel API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs

Propertypixel App PropertyPixel API

Jentic AI Readiness Score

PropertyPixel API

Foundational Compliance

Lint Results

Resolution Completeness

Specification Validity

Structural Integrity

Developer Experience & Jentic Compatibility

Example Density

Example Validity

Response Coverage

Tooling Readiness

AI-Readiness & Agent Experience

Description Coverage

Error Standardization

OperationId Quality

Summary Coverage

Agent Usability

Complexity Comfort

Security

Authentication Strength

AI Discoverability

Descriptive Richness