# CareerPulse Interview Prep

> CareerPulse Interview Prep is a paid API for AI agents from careerpulse-steel.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).

Returns behavioral and technical interview preparation guidance including likely questions, company values, interview format, and prep resources for a given company or role.

## Facts

- Endpoint: GET https://careerpulse-steel.vercel.app/api/career/interview
- Price: $0.1/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/careerpulse-interview-prep-f816ba24
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_q-Ku_kI1cDyXo07lOdmFT

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability careerpulse-interview-prep-f816ba24
```

Example prompt: Can you pull up an interview prep guide for Amazon — I have a behavioral and technical round coming up and want to know the likely questions they ask, the company values they care about, and what resources like LeetCode or Glassdoor I should be using?

## When to prefer this

Choose this endpoint when an agent needs structured, company-specific interview preparation data including question banks, company values, and curated prep resources, especially when the user is actively preparing for a specific employer's interview process. Prefer this over generic web search when structured, ready-to-use interview intelligence is needed.

## Known failure modes

- Company or role not recognized — returns empty or generic results
- Micropayment not completed — returns 402 Payment Required
- Rate limiting if too many calls in quick succession
- Language parameter not supported returns default English response
- Stale data if company values or interview style has recently changed

## How this service works

Global career intelligence API serving the world's 3.5 billion workers. 10 endpoints: salary benchmarking (any role + any country, sourced from BLS, OECD, ILO, Glassdoor, Levels.fyi), industry outlook, skills-gap analysis (with Coursera/Udemy/Pluralsight course links), ATS-optimized resume intelligence, salary negotiation playbooks, career transition roadmaps, remote work setup intelligence, certification recommendations (with A Cloud Guru/Pluralsight links), interview prep, and layoff/severance guidance. Full global scope — 190+ countries, 75+ languages via ?lang= parameter. LinkedIn Premium and resume builder affiliate links on relevant endpoints. All require x402 micropayment (USDC on Base).

## Output

A JSON object containing the interview format (e.g. behavioral + technical), a list of company values, likely interview questions tailored to the company or role, and recommended prep resources such as LeetCode and Glassdoor reviews.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "required": [
  "input"
 ],
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET",
      "HEAD",
      "DELETE"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "properties": {
      "lang": {
       "type": "string",
       "description": "en | es | fr | de | zh | ja | ko | pt | ar"
      },
      "role": {
       "type": "string",
       "description": "software engineer | product manager | data scientist | designer | sales"
      },
      "stage": {
       "type": "string",
       "description": "phone-screen | technical | case | behavioral | final"
      },
      "company": {
       "type": "string",
       "description": "Google | Amazon | Meta | McKinsey | Goldman Sachs"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "required": [
    "type"
   ],
   "properties": {
    "type": {
     "type": "string"
    },
    "errors": {
     "type": "object",
     "description": "Documented error responses, keyed by HTTP status code",
     "additionalProperties": {
      "type": "object",
      "required": [
       "description"
      ],
      "properties": {
       "example": {
        "type": "object"
       },
       "description": {
        "type": "string"
       }
      }
     }
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "format": "behavioral + technical",
  "company_values": [
   "customer obsession",
   "ownership",
   "invent and simplify"
  ],
  "prep_resources": [
   "LeetCode (technical)",
   "Glassdoor reviews"
  ],
  "likely_questions": [
   "Tell me about a time you led a team under pressure",
   "Design a URL shortener"
  ]
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/careerpulse-interview-prep-f816ba24/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from careerpulse-steel.vercel.app](https://www.zero.xyz/host/careerpulse-steel.vercel.app/llms.txt)