Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Cavuno v1 REST 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%2Fcavuno.com%2Fcavuno" | 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%2Fcavuno.com%2Fcavuno" | 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 Cavuno v1 REST API.
Post, publish, duplicate, and expire job listings
Create candidate profiles and attach or download resumes
Track companies and employer records with custom fields
Search jobs and companies and export the results
Import candidate and company records from uploaded files
GET STARTED
Manage subscribers, invitations, and marketing permissions
Configure board settings, custom domains, and webhook endpoints
Patterns agents use Cavuno v1 REST API for, with concrete tasks.
★ AI Agent Job Posting
An AI agent connected through Jentic can open a role end to end: it creates the job for a company, publishes it to the board, and confirms the listing is live. Cavuno handles the listing lifecycle so the agent coordinates posting and publishing instead of stepping through the dashboard.
Create a job for a given company, publish it to the board, and confirm the job status is live
Candidate Pipeline Management
Keep applicant records current by creating candidate profiles, attaching resumes, and updating custom fields as people move through hiring. Cavuno supports candidate reconciliation, deactivation, and reactivation so the pipeline reflects real status.
Create a candidate profile with contact details, attach a resume, and set the role they applied for
Bulk Data Import
Load existing candidate or company data by uploading a file, confirming the field mapping, and running the import. Cavuno reports import quota and per-batch status so large migrations stay auditable.
Upload a candidate CSV, confirm the column mapping, and start the import batch
Job and Company Search
Power syndication and reporting by searching jobs and companies and exporting the matched records. Cavuno exposes dedicated search operations plus exports so downstream systems stay in sync.
Search jobs matching a keyword and location, then export the matched listings
260 endpoints — the cavuno api powers a job board and applicant-tracking platform where you post jobs, publish and expire listings, and move candidates through hiring.
METHOD
PATH
DESCRIPTION
/jobs
Create a job
/jobs/{id}/publish
Publish a job
/jobs/search
Search jobs
/candidates
Create a candidate
/candidates
List candidates
/companies
Create a company
/subscribers
List subscribers
/jobs
Create a job
/jobs/{id}/publish
Publish a job
/jobs/search
Search jobs
/candidates
Create a candidate
/candidates
List candidates
/companies
Create a company
/subscribers
List subscribers
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Cavuno by hand means handling its bearer-token auth and tracking resource paths for jobs, candidates, companies, and imports across a large surface yourself. Through Jentic you install once, import Cavuno from the API Directory, store the token once, and your agent calls it.
Permission scoping
You choose which Cavuno operations the agent may call, such as posting and publishing jobs and reading candidates, so destructive operations like deleting candidates or companies are not included unless you add them.
Credential isolation
Your Cavuno bearer token 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 'post a job' or 'create a candidate', and Jentic returns the matching Cavuno 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 Cavuno v1 REST API through Jentic.
What authentication does the Cavuno API use?
The Cavuno API authenticates with a bearer token sent in the Authorization header, per its OpenAPI spec. You create the token in your Cavuno account, and through Jentic it is stored encrypted by your own Jentic One instance and injected at call time, so it never appears in the agent's prompt or logs.
Can I manage candidates with the Cavuno API?
Yes. You can create candidate profiles, attach and download resumes, set custom-field values, and move candidates through reconciliation, deactivation, and reactivation. Candidates can also be imported in batches from an uploaded file.
Can I search jobs and companies with the Cavuno API?
Yes. The API exposes dedicated search operations for jobs and companies, plus exports for jobs, companies, candidates, and subscribers. You can page through large result sets for reporting or syndication.
Is there a Cavuno MCP server?
You do not need an MCP server to give your agent the Cavuno API. Jentic connects it directly from the API Directory: import Cavuno, store your token once, and your agent posts jobs and manages candidates through the operations the API already exposes. Operations are discovered on demand, so no extra tool definitions are loaded into the agent's context.
Can I limit what my agent is allowed to do with the Cavuno API?
Yes. Write a rule that allows only the operations the agent needs, for example posting and publishing jobs and reading candidates, and leave out destructive ones like deleting candidates or companies. The agent works the pipeline within those bounds, and every call it makes is logged.
How do I post a job through Jentic with the Cavuno API?
Search Jentic for 'post a job', which returns the Cavuno job-creation operation with its input schema, then supply the company and job details and the agent runs it before publishing. To run it on your own infrastructure, install Jentic One from its GitHub repo.
For Agents
Post and publish jobs, track candidate profiles and resumes, manage companies and employers, and search listings through the Cavuno job-board API.
Use for: Post a new job listing for a company, Publish a drafted job to the board, Create a candidate profile and attach a resume, Search jobs by keyword and location
Not supported: Does not handle payroll, background checks, or offer-letter e-signatures. Use for job-board listings, candidate tracking, and employer management only.
The Cavuno API powers a job board and applicant-tracking platform where you post jobs, publish and expire listings, and move candidates through hiring. It manages candidate profiles, resumes, companies, and employers, and supports bulk imports, saved searches, and custom fields across those records. Blog content, billing, SSO connections, webhooks, and board settings round out the platform surface.
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>