Install Jentic One Beta

Connect the AI Content Drop API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the AI Content Drop 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%2Faicontentdrop.com%2Faicontentdrop" | 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%2Faicontentdrop.com%2Faicontentdrop" | 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 AI Content Drop API.

Start an AI video generation and poll it by id until it completes

Start an AI image generation on your account

Browse the model catalogue and estimate a model's credit cost

Read account details, credit balance, and available plans

Start a content drop and steer it with chat, answers, approvals, and interjections

GET STARTED

Start building with AI Content Drop API

Explore with Jentic One

View OpenAPI Document

Use Cases

Patterns agents use AI Content Drop API for, with concrete tasks.

★ Agent-Generated Video and Images

An AI agent connecting through Jentic can produce media on your account without a dashboard: it starts a video or image generation, then polls the record by its id until the status reaches completed. Jentic injects the bearer token at call time, so the agent runs the submit-and-poll flow without ever holding the key in its prompt, and credits are only charged on success.

Start a video generation with a chosen model, then poll the video by its id until its status is completed and return the result URL

Submit-and-Poll Generation with Cost Control

Keep generation spend predictable. The AI Content Drop API lists each model's flat credit cost, estimates the cost for one model or many at once, and charges credits only on success so safety blocks, provider failures, and timeouts cost nothing. An agent can price a job against the account's balance before committing to a generation.

Estimate the credit cost for a model, compare it with the account balance from the account endpoint, then start the generation

Steerable Content Drops

Run a longer content job as a drop the agent can guide. The AI Content Drop API starts a drop, reads it in full, and accepts chat, answers to the drop's questions, approvals of decisions it is waiting on, and interjections to steer a drop that is already working, plus a share link so the result can be handed out.

Start a drop, answer the questions it asks, approve the decision it is waiting on, then mint a public share link for the finished drop

Key Endpoints

31 endpoints — the ai content drop api generates ai video and images on your own account and runs autonomous content drops.

METHOD

PATH

DESCRIPTION

POST

/v1/generate/video

Start a video generation

POST

/v1/generate/image

Start an image generation

GET

/v1/videos/{id}

Poll a generation by id

GET

/v1/videos

List recent generations

GET

/v1/models

List the model catalogue with credit costs

POST

/v1/engine/runs

Start a content drop

GET

/v1/me

Read account and credit balance

POST

/v1/generate/video

Start a video generation

POST

/v1/generate/image

Start an image generation

GET

/v1/videos/{id}

Poll a generation by id

GET

/v1/videos

List recent generations

GET

/v1/models

List the model catalogue with credit costs

POST

/v1/engine/runs

Start a content drop

GET

/v1/me

Read account and credit balance

Why Jentic?

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

Setup

Wiring the AI Content Drop API by hand means creating an API key, carrying it as a bearer token, and handling the submit-and-poll generation flow and per-model credit costs yourself. Through Jentic you install once, import AI Content Drop from the API Directory, store the key once, and your agent calls it.

Permission scoping

You choose which AI Content Drop operations your agent may call, so it can start and poll generations while deleting a drop or revoking a token stays out unless you add them. Video and drop ids travel in the URL path (/v1/engine/runs/{id}), so a rule can also pin the agent to one drop.

Credential isolation

Your AI Content Drop 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 'generate an AI video' or 'estimate a model cost', and Jentic returns the matching AI Content Drop operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

FAQs

Specific to using AI Content Drop API through Jentic.

What authentication does the AI Content Drop API use?

The AI Content Drop API authenticates with an API key created in your dashboard and sent as a bearer token, with keys that look like acd_live_ values. The index, the model catalogue, and the natural-language ask endpoint need no key, while anything that touches an account or spends credits does. Through Jentic the key is injected at call time rather than living in the agent's prompt.

Can I generate a video and check when it is ready with the AI Content Drop API?

Yes. A generate request returns a record immediately with status generating, and you poll the video by its id until the status reaches completed. Credits are flat per model and are only charged on success, so safety blocks, provider failures, and timeouts cost nothing.

What are the rate limits for the AI Content Drop API?

The spec states a limit of 120 requests per minute, and every response carries the RateLimit-Limit, RateLimit-Remaining, and RateLimit-Reset headers, with a 429 when you exceed it. Check the AI Content Drop documentation at https://aicontentdrop.com for any tier-specific limits.

How do I generate a video with the AI Content Drop API through Jentic?

Search Jentic for 'generate an AI video' and it returns the video generation operation with its input schema. Your agent starts the generation, then polls the video by its id until it is completed. To run it on your own infrastructure, install Jentic One from its GitHub repo.

Can I limit what my agent is allowed to do with the AI Content Drop API?

Yes. Write a rule that allows only the generation and polling operations, so the agent can create and read media while deleting a drop or revoking a token stays out unless you add it, and every action it takes is logged. Because video and drop ids appear in the URL path, a rule can also pin the agent to one drop.

Is there an AI Content Drop MCP server?

You don't need an MCP server to give your agent the AI Content Drop API. Jentic connects it directly from the API Directory: import it, store your API key once, and your agent calls the generation, model, and drop operations on demand without loading another server's tool definitions into its context.

AI Content Drop API

AI ReadinessAI-Aware (B)64/100

See full scorecard

Official vendor OpenAPI document · agent-readyMediaVideo Processingbearer31 EndpointsREST

For Agents

Generate AI video and images on your account, poll them to completion, browse model costs, and run steerable content drops through a drop engine.

Use for: Generate an AI video on my account, Generate an AI image from a prompt, Check the status of a video generation, Estimate the credit cost of a model

Not supported: Does not host a video CDN, edit uploaded footage, or manage a stock media library. Use for generating AI video and images and running content drops only.

The AI Content Drop API generates AI video and images on your own account and runs autonomous content drops. Generation is submit-and-poll: a request returns a record with status generating, and polling a video by its id reports when it is completed, with credits charged flat per model and only on success. A model catalogue lists each model's credit cost, and a drop engine starts runs you steer with chat, answers, approvals, and interjections. Account, plan, and credit-balance endpoints round out the surface.

Jentic One on Github View OpenAPI Document

Show dimension breakdown

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: C-Signals: 4

90%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

100%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

Specification Validity

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

17%

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: C-Signals: 4

56%

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.

54%

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: B-Signals: 1

60%

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: ASignals: 1

86%

Descriptive Richness

Clarity and depth of descriptions across API elements.

Connect the AI Content Drop API to your agent

Capabilities

Start building with AI Content Drop API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs

AI Content Drop API

Jentic AI Readiness Score

AI Content Drop 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