Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Autumn Task 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%2Fautumn.ai%2Fautumn" | shStep 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%2Fautumn.ai%2Fautumn" | 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.
What an agent can do with Autumn Task API.
Start a durable research task run by a sandboxed agent
Stream task events as the agent works through server-sent events
List tasks and read a task's status, state, and named outputs
Continue or re-execute a task with new input
Stop a running task
GET STARTED
Read the account's remaining credits
Presign a file upload and validate it for a task
Patterns agents use Autumn Task API for, with concrete tasks.
★ Run a Durable Research Task
An agent starts a research task on Autumn, streams its events as the sandboxed agent works, and reads the output when it finishes. Because tasks are durable, the agent can start work, disconnect, and poll the status later rather than holding a long-lived request open, which suits research that takes time to complete.
Call POST /task to start a research task, then GET /task/{task_id} to poll its status and GET /task/{task_id}/output to read the result
Stream and Continue Long Tasks
An agent streams a task's events in real time and, when a result needs refining, continues the same task with additional input instead of starting over. Autumn keeps the task state, so the agent builds on prior work and reads intermediate state as the task progresses.
Call POST /task/stream to start and watch a task, then POST /task/{task_id}/continue to extend it with new input
AI Agent Integration via Jentic
An AI agent reaches the Autumn Task API through Jentic without holding the key itself. It searches by intent, receives the matching operation with its input schema, and executes the call with the credential injected at run time, so starting and tracking research tasks becomes a step in a larger agent workflow.
Search Jentic for 'start a research task', load the POST /task schema, and execute it with Jentic-managed credentials
22 endpoints — the autumn task api runs durable research tasks carried out by a sandboxed agent.
METHOD
PATH
DESCRIPTION
/task
Start a task
/task
List tasks
/task/stream
Start a task and stream its events
/task/{task_id}
Get task status
/task/{task_id}/continue
Continue a task
/task/{task_id}/stop
Stop a task
/task/{task_id}/output
Get task output
/credits
Get remaining credits
/task
Start a task
/task
List tasks
/task/stream
Start a task and stream its events
/task/{task_id}
Get task status
/task/{task_id}/continue
Continue a task
/task/{task_id}/stop
Stop a task
/task/{task_id}/output
Get task output
/credits
Get remaining credits
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the Autumn Task API by hand means choosing between its X-API-Key and bearer schemes, handling server-sent event streams, and polling durable tasks for completion yourself. Through Jentic you install once, import Autumn from the API Directory, store the key once, and your agent calls it.
Permission scoping
Autumn puts the task id in the URL path, so a rule can pin your agent to the task operations you choose. You choose the operations it may call, such as starting a task and reading its status and output, so continue, re-execute, and stop are not included unless you add them.
Credential isolation
Your Autumn 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 'start a research task' or 'read a task's output', and Jentic returns the matching Autumn operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Alternatives and complements available in the Jentic catalogue.
Specific to using Autumn Task API through Jentic.
What authentication does the Autumn Task API use?
The Autumn Task API authenticates with an API key in the X-API-Key header or a bearer key in the Authorization header, per its OpenAPI spec, and a few operations also accept a session token. Through Jentic the key is stored encrypted by your own Jentic One instance and injected at execution time, so it never reaches the agent.
Can I start and stream a research task with the Autumn Task API?
Yes. POST /task starts a durable task and POST /task/stream starts one and streams its events as server-sent events. You can then read status with GET /task/{task_id} and the result with GET /task/{task_id}/output, or continue the task with more input.
What are the rate limits for the Autumn Task API?
Autumn meters work against a credit balance that GET /credits reports rather than a fixed request ceiling, and the OpenAPI spec does not state request limits. Read your credits before a batch, watch for HTTP 429 responses, and check Autumn's documentation for the current limits.
How do I start a research task with the Autumn Task API through Jentic?
Search Jentic for 'start a research task', and it returns the Autumn operation with its input schema. Load the schema and execute POST /task with the credential injected at run time. To run it on your own infrastructure, install Jentic One from its GitHub repo.
Is there an Autumn Task API MCP server?
You don't need an MCP server to give your agent the Autumn Task API. Jentic connects it directly from the API Directory: import it, store your key once, and your agent calls the task operations it needs. Operations are discovered on demand, so no extra server's tool definitions sit in the agent's context.
Can I limit what my agent is allowed to do with the Autumn Task API?
Yes. Autumn puts the task id in the URL path, so a rule can allow only starting tasks and the read operations that track them, while continue, re-execute, and stop stay off the table until you add them. Every call runs through your own instance where it is logged for review.
For Agents
Run and track durable research tasks executed by a sandboxed agent: start tasks, stream their events, read status, state, and outputs, and continue, re-execute, or stop them. Authenticate with an X-API-Key header or a bearer key.
Use for: Start a durable research task from a prompt, Stream the events of a running task, Get the status of a task by its id, List all the tasks I have started
Not supported: Does not expose a raw chat completion endpoint, train models, or store files long term. Use for running and tracking durable agent research tasks only.
The Autumn Task API runs durable research tasks carried out by a sandboxed agent. A caller starts a task, lists tasks, reads a task's status, state, and outputs, and continues, re-executes, or stops it. Streaming routes deliver task events as server-sent events, a credits endpoint reports the remaining balance, and upload endpoints presign and validate files for a task. Errors share one body shape so a caller can branch on the error and retry when the response marks it retryable.
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.
Base layer of spec validity and structural soundness.
Aggregated quality score from linter diagnostics, weighted by severity.
Percentage of `$ref` references that resolve successfully.
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
Structural correctness score based on schema issues using logarithmic dampening.
Clarity, completeness, and ingestion readiness for developers and tooling.
How richly the API is illustrated with examples.
Percentage of examples that conform to their schemas.
Percentage of operations with complete response definitions (success, client error, server error).
Health of API ingestion, bundling, and resolution within Jentic pipelines.
Semantic breadth, depth, and agent comprehension for AI systems.
Coverage of descriptions across API elements.
Coverage of RFC 9457 Problem Details for error responses.
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
Coverage of summaries across operations/tags/info.
Functional utility, complexity comfort, and AI orchestration readiness.
Agent comfort level based on API operational and structural complexity.
Trust, risk posture, and security compliance.
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
Findability, semantic richness, and reasoning readiness.
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>