Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Applystead 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%2Fapplystead.com%2Fapplystead" | 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%2Fapplystead.com%2Fapplystead" | 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 Applystead API.
Search open jobs and read a single job's details
Look up company facts by website domain or name
Queue a job application and track its status until it is sent
List submitted applications and read each one's charge and remaining balance
Register webhook endpoints that fire when an application is sent
GET STARTED
Read the account plan, prices, and prepaid balance
Patterns agents use Applystead API for, with concrete tasks.
★ Automated Job Application Queue
An agent searches Applystead for open roles that match a candidate's criteria, reads the company facts behind each listing, and queues the strongest matches to apply. Each queued application reports its charge against the prepaid balance, and anything never sent is refunded automatically, so the agent can batch applications without overspending.
Call GET /jobs with a search term, then POST /applications to queue the chosen job and GET /applications/{id} to confirm its status
Job Search Monitoring
A monitoring workflow polls Applystead for newly posted jobs that match a saved search and enriches each with company facts before alerting the candidate. The agent reads jobs and companies on a schedule so new openings surface without manual browsing.
Call GET /jobs to list current openings, then GET /companies to add firmographic context for each result
AI Agent Integration via Jentic
An AI agent reaches Applystead through Jentic without holding the bearer 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 job search and application queuing become steps in a larger agent workflow.
Search Jentic for 'search open jobs', load the GET /jobs schema, and execute it with Jentic-managed credentials
12 endpoints — the applystead api searches job listings and queues applications on a job seeker's behalf from their own code.
METHOD
PATH
DESCRIPTION
/jobs
Search open jobs
/jobs/{id}
Get one open job
/companies
Company facts by domain or name
/applications
Add a job to the queue to apply
/applications
List submitted applications
/applications/{id}
Get one application
/webhooks
Add a webhook endpoint
/me
Account, plan, prices, and balance
/jobs
Search open jobs
/jobs/{id}
Get one open job
/companies
Company facts by domain or name
/applications
Add a job to the queue to apply
/applications
List submitted applications
/applications/{id}
Get one application
/webhooks
Add a webhook endpoint
/me
Account, plan, prices, and balance
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Applystead by hand means managing its bearer key, reading the charge and balance on every response, and tracking which queued applications were sent yourself. Through Jentic you install once, import Applystead from the API Directory, store the key once, and your agent calls it.
Permission scoping
Applystead carries the job id and application details inside each request, so a rule bounds which operations your agent may call rather than which listing it touches. You choose the operations it may use, such as job search and queuing an application, so webhook deletion is not included unless you add it.
Credential isolation
Your Applystead 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 'search open jobs' or 'queue a job application', and Jentic returns the matching Applystead 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 Applystead API through Jentic.
What authentication does the Applystead API use?
The Applystead API authenticates with a bearer key sent as Authorization: Bearer <key>, per its OpenAPI spec, with keys created on the API page in Applystead. 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 queue a job application with the Applystead API?
Yes. POST /applications adds a job to your queue to apply, and GET /applications/{id} returns the status of that application until it is sent. Each call reports what it charged against your prepaid balance, and an application that is never sent is refunded automatically.
What are the rate limits for the Applystead API?
Applystead charges per call from a prepaid balance rather than enforcing a fixed rate ceiling, and the OpenAPI spec does not state request limits. Read the balance from the account endpoint before a batch, watch for HTTP 429 responses, and check Applystead's documentation for current limits.
How do I search open jobs with the Applystead API through Jentic?
Search Jentic for 'search open jobs', and it returns the Applystead operation with its input schema. Load the schema and execute GET /jobs with the credential injected at run time. To run it on your own infrastructure, install Jentic One from its GitHub repo.
Is there an Applystead MCP server?
You don't need an MCP server to give your agent Applystead. Jentic connects it directly from the API Directory: import it, store your key once, and your agent calls the job and application 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 Applystead API?
Yes. Applystead carries the job and application details inside each request, so a rule bounds which operations your agent may call. Allow only job search and the queue operation, for example, so the agent can find and apply to roles while webhook deletion stays off the table, and every call runs through your own instance where it is logged.
For Agents
Search open jobs, look up company facts, queue job applications, and track their status and charges on a prepaid balance. Register webhooks that fire when an application is sent. Reads and writes authenticate with a bearer key.
Use for: Search for open software jobs matching a title, Get the details of a specific job listing, Add a job to my application queue, List the applications I have submitted
Not supported: Does not post job listings, run payroll, or manage employee records. Use for searching jobs and queuing a candidate's own applications only.
The Applystead API searches job listings and queues applications on a job seeker's behalf from their own code. It returns open jobs and company facts, lets a caller add a job to an application queue, and reports what each call charged and the balance left on a prepaid account. Webhook endpoints notify an HTTPS, Discord, or Slack destination as soon as a queued application is sent, and applications that are never sent are refunded automatically.
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>