Install Jentic One Beta

Connect the Mochify API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Mochify 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%2Fmochify.app%2Fmochify" | 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%2Fmochify.app%2Fmochify" | 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 Mochify API.

Compress and convert an image to JPG, PNG, WebP, AVIF, or JXL with quality or lossless settings

Cap an image at a targetBytes ceiling by lowering quality, dimensions, or both

Return a ZIP of several formats and widths from one upload using types and sizes

Remove an image background and add a generated shadow or background

Rasterize PDF pages to images, split a PDF, or combine images into one PDF

GET STARTED

Start building with Mochify API

Explore with Jentic One

View OpenAPI Document

Use Cases

Patterns agents use Mochify API for, with concrete tasks.

★ Agent Image Optimisation Through Jentic

An AI agent preparing images for a website or store listing sends each file to Mochify and gets back a web-ready version in the right format and size. Through Jentic the agent finds the squish operation by intent, sets type, width, and targetBytes as query parameters, and posts the raw image bytes with a stored key so the calls count against your plan quota.

Compress an uploaded JPEG to webp at width 1200 with targetBytes 200000 and targetLever 'quality', and stripExif true

E-Commerce Product Photo Cleanup

Online sellers remove the background from product shots, composite the subject with a generated drop shadow or a flat background colour, smart-crop to a square around the subject, and export WebP and AVIF variants at several widths in a single ZIP for responsive storefront images.

Process a product photo with removeBackground true, generate 'shadow', smartCrop true at 1000x1000, types 'webp,avif', and sizes '500,1000'

PDF to Image and Image to PDF

Document workflows rasterize PDF pages to PNG or JPG at a chosen DPI for previews, split a PDF into separate pages, or combine scanned images into one multi-page PDF sized to A4, Letter, or the image itself. Rasterize and split are paid-plan features.

Create a PDF from three uploaded images with op 'create', page 'a4', and combine true

Key Endpoints

8 endpoints — the mochify api compresses and converts images to jpg, png, webp, avif, or jpeg xl, processing the bytes in memory and returning the result without writing the original to disk.

METHOD

PATH

DESCRIPTION

POST

/v1/squish

Compress and/or convert an image

POST

/v1/pdf

Rasterize, split, or create a PDF

POST

/v1/generate

Generate an image from a text prompt

POST

/v1/upload/init

Start a chunked upload session

POST

/v1/upload/complete

Finish a chunked upload

GET

/v1/checkTokens

Check remaining quota

POST

/v1/squish

Compress and/or convert an image

POST

/v1/pdf

Rasterize, split, or create a PDF

POST

/v1/generate

Generate an image from a text prompt

POST

/v1/upload/init

Start a chunked upload session

POST

/v1/upload/complete

Finish a chunked upload

GET

/v1/checkTokens

Check remaining quota

Why Jentic?

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

Setup

Wiring Mochify by hand means choosing between its Bearer and x-api-key headers (only x-api-key reports a bad key), posting raw image bytes rather than multipart, and handling ZIP responses for multi-variant requests. Through Jentic you install once, import Mochify from the API Directory, store the key once, and your agent calls it.

Permission scoping

Mochify passes every setting as a query parameter or body field on a few fixed paths, so rules bound which operations your agent may call rather than which files it processes. You choose the operations it may call, so credit-heavy ones like text-to-image generation are not included unless you add them.

Credential isolation

Your Mochify 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 'compress an image' or 'convert a PDF to images', and Jentic returns the matching Mochify operation with its input schema so the agent calls the right endpoint without reading the reference docs.

FAQs

Specific to using Mochify API through Jentic.

What authentication does the Mochify API use?

Per its OpenAPI spec, the Mochify API accepts a dashboard-issued key as `Authorization: Bearer <key>` or in the `x-api-key` header, and authentication is optional: calls with no credential fall back to anonymous, IP-metered free-tier limits, and the health check is public. An unresolvable Bearer key is silently treated as anonymous, while x-api-key reports it as invalid. Through Jentic the key is stored once, encrypted, by your own Jentic One instance and injected at call time.

Can I hit a specific file size with the Mochify API?

Yes. Set targetBytes on the squish operation to the maximum output size in bytes, and targetLever to quality, dimensions, or both to choose what Mochify may change to get there. Combine it with type, width, and lossless where the format allows.

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

Yes. For example, write a rule that allows only the squish and checkTokens operations, so the agent can compress images and read its remaining quota but cannot spend credits on text-to-image generation, and every call it makes is logged.

What are the rate limits for the Mochify API?

The Mochify OpenAPI spec meters image requests by plan quota: 25 per month on Free, 300 on Seller, and 1200 on Pro, with anonymous callers limited to 3 per session or batch by IP. Image generation costs 10 credits per successful call. Check https://mochify.app for current plan details.

How do I compress an image with Mochify through Jentic?

Search Jentic for the intent 'compress an image', which returns the Mochify squish operation on /v1/squish with its input schema; the agent posts the raw image bytes with type, width, and quality as query parameters and receives the processed image. To run it on your own infrastructure, install Jentic One from its GitHub repo.

Is there a Mochify MCP server?

You don't need an MCP server to give your agent the Mochify API. Jentic connects it directly from the API Directory: import it, store your key once, and your agent calls the image, PDF, and generation operations. Operations are discovered on demand, so no extra tool definitions are loaded into the agent's context.

Mochify App Mochify API

AI ReadinessAI-Aware (B)65/100

See full scorecard

Official vendor OpenAPI document · agent-readyMediaImage Processingbearer, apiKey (optional)8 EndpointsREST

For Agents

Compress, convert, resize, and remove backgrounds from images, rasterize or split PDFs, build PDFs from images, and generate images from prompts with Mochify. Accepts a Bearer key or x-api-key header, or anonymous free-tier calls.

Use for: Compress this product photo to WebP under 200 KB, I need to remove the background from a product image, Convert a PNG to AVIF and JPEG XL in one request, Turn these three scanned images into a single A4 PDF

Not supported: Does not host or serve images from a CDN, manage a media library, or edit video. Use for one-shot image compression, conversion, background removal, PDF conversion, and prompt-based image generation only.

The Mochify API compresses and converts images to JPG, PNG, WebP, AVIF, or JPEG XL, processing the bytes in memory and returning the result without writing the original to disk. One call can resize, smart-crop around the subject, remove the background, add a generated shadow or background, rotate, strip EXIF, cap the output at a target byte size, and return a ZIP of several format and width variants. It also rasterizes or splits PDFs and builds a PDF from images, generates images from a text prompt on paid plans, and accepts large files through a chunked upload session.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

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).

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: BSignals: 4

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

56%

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: D+Signals: 4

48%

Description Coverage

Coverage of descriptions across API elements.

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

100%

OperationId Quality

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

47%

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: CSignals: 1

55%

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

78%

Descriptive Richness

Clarity and depth of descriptions across API elements.

Connect the Mochify API to your agent

Capabilities

Start building with Mochify API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs

Mochify App Mochify API

Jentic AI Readiness Score

Mochify 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