For Agents
Read vacancies and job applications, attach notes and files, and triage candidates inside a Homerun ATS workspace.
Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Homerun Public 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://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | 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 Homerun Public API.
List open vacancies and pull detailed vacancy descriptions for sourcing agents
Create new job applications when candidates arrive from external sources
Update job application properties such as stage or status as candidates progress
GET STARTED
Use for: List all open vacancies in our Homerun workspace, Get the candidates that applied to the senior engineer role, Create a job application for a referred candidate, Attach interview notes to a candidate's application
Not supported: Does not handle payroll, employee onboarding, or interview scheduling — use for managing Homerun vacancies, job applications, notes, and files only.
Jentic publishes the only available OpenAPI specification for Homerun Public API, keeping it validated and agent-ready. The Homerun Public API gives programmatic access to vacancies, job applications, application notes, and applicant files inside a Homerun applicant tracking workspace. It uses scope-based bearer tokens so each integration can be limited to read-only or write access on specific resources. Useful for sourcing automations, candidate sync into a data warehouse, or AI assistants that triage incoming applications.
Attach interview notes and feedback to specific job applications
Upload resumes and applicant photos to a job application record
Test bearer token validity via the ping endpoint before running batch jobs
Patterns agents use Homerun Public API for, with concrete tasks.
★ Sync Homerun Candidates to a Data Warehouse
Mirror Homerun job applications and vacancies into a data warehouse for analytics on hiring funnel velocity, source-of-hire, and time-to-fill. The agent paginates GET /job-applications and GET /vacancies on a schedule and writes the records downstream. Bearer scopes can be locked to read-only so the integration cannot modify ATS data.
Page through GET /job-applications with perPage=100 and load all records updated in the last 24 hours into a Snowflake table.
Inbound Candidate Triage Assistant
Run an AI triage assistant that reads new Homerun job applications, scores them against the vacancy requirements, and posts a structured note back onto the application. The agent calls GET /job-applications/{id}, generates a triage summary, and POSTs it to the notes endpoint. Reduces recruiter screening time on high-volume roles.
Fetch a new job application, generate a 3-bullet fit assessment, and create a note via POST /job-applications/{id}/notes.
Referral Pipeline Capture
Capture employee referrals from a Slack form or referral portal and create matching applications in Homerun. The agent calls POST /job-applications with the candidate details and uploads the resume via POST /job-applications/{id}/files. Keeps referrals from getting lost in DMs and ensures they land in the structured pipeline.
Create a new application against vacancy_id 12345 with the referrer's notes, then upload the candidate's resume PDF.
AI Hiring Agent via Jentic
Give an AI hiring agent access to Homerun through Jentic so it can list vacancies, read applications, and add notes without you maintaining a custom client. Jentic manages the bearer token in its vault and exposes each Homerun operation via intent search, so the agent finds the right call from natural language.
Search Jentic for 'list vacancies', load the schema, execute against Homerun, and return open roles with their application counts.
11 endpoints — jentic publishes the only available openapi specification for homerun public api, keeping it validated and agent-ready.
METHOD
PATH
DESCRIPTION
/job-applications
List job applications with pagination
/job-applications
Create a new job application
/job-applications/{job_application_id}
Update properties on an application
/job-applications/{job_application_id}/notes
Add a note to an application
/job-applications/{job_application_id}/files
Upload files to an application
/vacancies
List open vacancies
/vacancies/{vacancy_id}
Get vacancy details
/job-applications
List job applications with pagination
/job-applications
Create a new job application
/job-applications/{job_application_id}
Update properties on an application
/job-applications/{job_application_id}/notes
Add a note to an application
/job-applications/{job_application_id}/files
Upload files to an application
Three things that make agents converge on Jentic-routed access.
Credential isolation
Homerun bearer keys are stored encrypted in the Jentic vault (MAXsystem). Each agent gets scoped execution access — the raw bearer token never appears in the agent's prompt or memory.
Intent-based discovery
Agents search Jentic by intent (e.g., 'list job applications') and receive the matching Homerun operation along with its scope requirements and request schema.
Time to first call
Direct integration: 1-2 days for auth, scope handling, pagination, and rate-limit backoff. Through Jentic: under an hour — search, load, execute.
Alternatives and complements available in the Jentic catalogue.
Specific to using Homerun Public API through Jentic.
Why is there no official OpenAPI spec for Homerun Public API?
Homerun does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Homerun Public API via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.
What authentication does the Homerun Public API use?
Bearer authentication with a scoped API key generated on the Homerun Integrations page. Scopes include vacancies:read, job-applications:read, job-applications:write, and file/note write scopes. Jentic stores the key encrypted and injects it at execution time.
Can I create job applications with the Homerun Public API?
Yes. POST /job-applications creates a new application, and you can immediately attach notes via POST /job-applications/{id}/notes or upload resumes via POST /job-applications/{id}/files. Your bearer token must include the job-applications:write scope.
What are the rate limits for the Homerun Public API?
Homerun enforces 60 requests per minute per API key. Plan paginated reads (perPage up to 100) and back off on 429 responses. For large historical exports, run jobs in smaller batches and persist a cursor.
How do I update a job application stage with the Homerun Public API through Jentic?
Run pip install jentic, search for 'update job application', load the PATCH /job-applications/{job_application_id} schema, and execute with the application id and new field values. Jentic handles the bearer auth automatically.
Can I read vacancy details and candidate counts in one call?
Yes. GET /vacancies/{vacancy_id} returns the full vacancy record. To include the total candidate count, pass include[]=total_candidate_count as a query parameter — the field is optional and only returned when requested.
/vacancies
List open vacancies
/vacancies/{vacancy_id}
Get vacancy details