Job Family Directory (Complete List)
omnial/get-job-families
One call returns the full job-family directory -- every job family across every category (Technology, Design, Finance, Engineering, Sales, Healthcare, and more), each with its name, slug, category, aliases, a plain-language description, its focus areas, and the specific job titles that belong to it. A single parameterless call covers the whole list; there is no pagination and nothing to look up by hand.
activeper callv2
Price
Up to $0.0137 per call; you pay what the call used
You pay the price shown. If a call turns out to cost more than its quote, you pay the actual price, capped at twice the quote. No monthly minimum. Top-ups start at $5.00.
Data source
Data from Levels.fyi.
Use it
Your AI assistant does the work: it finds this tool, shows you the price first, runs it, and you are charged when the run finishes. There is nothing to set up for this tool in particular.
Connect once and your AI can find and run this tool, and any other it needs.
For developers: the calls your assistant makes
agent
// 1. search: find the tool
omnial_search({ query: "what you need" })
// 2. inspect: price and input schema
omnial_inspect({ tool: "omnial/get-job-families" })
// 3. learn: read the usage guide at runtime
omnial_learn({ tool: "omnial/get-job-families" })
// 4. run: price the exact call first, then run it
omnial_execute({ tool: "omnial/get-job-families", input: { /* see input_schema */ }, dry_run: true })
omnial_execute({ tool: "omnial/get-job-families", input: { /* ... */ } })
// 5. settle: the call is charged when it finishes, nothing to doNot connected yet? Point your MCP client at https://mcp.eden-engine.com/mcp, then copy a config for your client.
Pricing
Every charge this tool can incur.
| Charge | Price |
|---|---|
Per call | $0.0137 |
- Updated
- Oct 27, 2026
Input and output schemas
Input schema
input_schema.json
{
"type": "object",
"properties": {},
"additionalProperties": false
}Output schema
output_schema.json
{
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"job_families": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The job family's own name, e.g. 'Software Engineer'."
},
"slug": {
"type": "string",
"description": "Stable URL-style identifier, e.g. 'software-engineer'."
},
"aliases": {
"type": "array",
"items": {
"type": "string"
},
"description": "Common alternative names or abbreviations for the family, e.g. ['SWE', 'SDE'] for Software Engineer; empty when there are none."
},
"category": {
"type": "string",
"description": "Broad grouping, e.g. 'Technology', 'Design', 'Finance', 'Engineering', 'Sales', 'Human Resources', 'Legal', 'Healthcare', 'Education'."
},
"focusTags": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "e.g. 'ML / AI'."
},
"slug": {
"type": "string",
"description": "e.g. 'ml-ai'."
},
"jobTitles": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "e.g. 'Machine Learning Engineer'."
},
"slug": {
"type": "string",
"description": "e.g. 'machine-learning-engineer'."
},
"aliases": {
"type": "array",
"items": {
"type": "string"
},
"description": "Alternative titles; empty when none."
},
"description": {
"type": "string",
"description": "A sentence describing what this title does."
}
},
"additionalProperties": true
},
"description": "Job titles grouped under this focus area; empty when the focus area defines none (observed on the 'Distributed Systems (Back-End)' focus tag)."
},
"description": {
"type": "string",
"description": "A sentence describing this focus area."
},
"displayValue": {
"type": "string",
"description": "A friendlier display label, e.g. 'Machine Learning'."
},
"focusSubTags": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "e.g. 'Pre-training'."
},
"slug": {
"type": "string",
"description": "e.g. 'pre-training'."
},
"description": {
"type": [
"string",
"null"
],
"description": "A sentence about the sub-specialization. Observed null on every sub-tag in the one real capture -- do not assume it is populated."
},
"displayValue": {
"type": "string"
}
},
"additionalProperties": true
},
"description": "Sub-specializations under this focus area; present only on focus areas that have them, absent on most. In the one real capture only the ML / AI focus area carried sub-tags (Pre-training, Post-training, Inference, and more)."
}
},
"additionalProperties": true
},
"description": "The family's focus areas (specializations within the family), each with its own display name, description, optional sub-specializations, and job titles."
},
"jobTitles": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "e.g. 'Systems Engineer'."
},
"slug": {
"type": "string",
"description": "e.g. 'systems-engineer'."
},
"aliases": {
"type": "array",
"items": {
"type": "string"
},
"description": "Alternative titles, e.g. ['Computational Linguist']; empty when none."
},
"description": {
"type": "string",
"description": "A sentence describing what this title does."
}
},
"additionalProperties": true
},
"description": "Job titles that sit directly under this family (titles not grouped under a specific focus area). Empty or absent on families whose titles all live under a focus area."
},
"description": {
"type": "string",
"description": "A one-or-two-sentence plain-language description of what the family does."
}
},
"additionalProperties": true
},
"description": "One entry per job family the directory knows -- 109 families observed in the single real capture, spanning categories from Technology and Design to Finance, Engineering, Sales, Healthcare, and Education."
}
},
"additionalProperties": true
},
"status": {
"type": "string",
"description": "'success' on the one real capture observed."
}
},
"description": "The complete job-family directory. One parameterless call returns every job family in a single flat array; no pagination.",
"additionalProperties": true
}