# NxtWaves Expert Agents: Customer Plans & Interview Rubrics (`anamika67/nxtwaves-expert-agents`) Actor

Use when an agent must advise an Indian small business how to get customers (channels, message, cost per customer, 30-day plan) or needs an interview rubric for ML/MLOps/DevOps/data/backend roles. Expert, structured JSON instead of generic AI guesses.

- **URL**: https://apify.com/anamika67/nxtwaves-expert-agents.md
- **Developed by:** [Anamika Singh](https://apify.com/anamika67) (community)
- **Categories:** AI, Agents, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## NxtWaves Expert Agents: Customer Plans & Interview Rubrics

> **Stop your AI from guessing.** Generic AI gives vague marketing advice and random interview questions. This tool returns a sourced, structured answer in seconds.

**Use when:** an agent must advise an Indian small business how to get customers (channels, message, cost per customer, 30-day plan) or needs an interview rubric for ML/MLOps/DevOps/data/backend roles. Expert, structured JSON instead of generic AI guesses.

Two practical expert tools in one Actor, built for **AI agents, automation builders and small teams**:

1. **Customer Plan** — tell it a small business type, what a customer is worth and the monthly budget. It returns where that business should find customers, what message to use, the typical cost per customer and a 30-day action plan.
2. **Interview Rubric** — tell it a tech role and level. It returns focused interview questions, what a strong answer shows, a 1–4 scoring guide and a clear hire rule.

Fast, structured JSON output. No scraping, no personal data, no login needed.

### Why use it

- **For AI agents & assistants:** call it through the Apify API or the Apify MCP server and get a reliable, structured answer instead of a guess.
- **For marketers & founders:** get a sensible starting plan for a clinic, salon, coaching institute, online store, B2B service or real estate business in seconds.
- **For recruiters & hiring managers:** run consistent, fair interviews for ML, MLOps, DevOps, Data, Backend, Frontend and QA roles.

### Input

| Field | Used by | Example |
|---|---|---|
| `service` | both | `plan` or `rubric` |
| `type` | plan | `clinic`, `local`, `food`, `education`, `b2b`, `ecommerce`, `realestate`, `other` |
| `value` | plan | `8000` (INR revenue from one customer) |
| `budget` | plan | `20000` (INR per month; `0` = free channels only) |
| `name`, `city`, `sells` | plan (optional) | `Smile Dental`, `Pune`, `dental implants` |
| `role` | rubric | `ml`, `mlops`, `devops`, `data`, `backend`, `frontend`, `qa` |
| `level` | rubric | `junior`, `mid`, `senior`, `lead` |

#### Example: Customer Plan

```json
{ "service": "plan", "type": "clinic", "name": "Smile Dental", "city": "Pune", "value": 8000, "budget": 20000 }
```

Output (shortened):

```json
{
  "verdict": "Strong fit: a customer worth ₹8,000 usually costs ₹300–₹1,200 to win, so paid growth should pay back well.",
  "costPerCustomer": "₹300–₹1,200",
  "customersPerMonth": "16–66",
  "channels": [{ "name": "Google Business Profile + reviews", "free": true }, { "name": "Google Search ads (local)" }, { "name": "Click-to-WhatsApp ads" }],
  "message": "Book a consultation this week with Smile Dental. Same-day slots, transparent pricing, trusted by local families.",
  "steps": ["This week: set up or fix your Google Business Profile…", "Week 2: …", "Weeks 3–4: …"]
}
```

#### Example: Interview Rubric

```json
{ "service": "rubric", "role": "mlops", "level": "senior" }
```

Returns questions (pipelines, serving, monitoring, leadership, communication, ownership), what a strong answer shows, a 1–4 scoring guide and the hire rule *"Hire if average ≥ 3 and no score of 1 in a core skill area."*

### Pricing

Pay per result: you are charged once per successful result. Failed runs (for example, invalid input) are not charged.

### Good to know

- Cost-per-customer figures are **rough benchmarks for small businesses in India**, meant as a starting point — real results depend on the offer and market.
- Rubrics are a structured guide for fair, consistent interviews; final hiring decisions stay with you.

### Support

Questions or a role/business type you need? Email **support@nxtwaves.in**.

# Actor input Schema

## `service` (type: `string`):

Which expert tool to run.

## `type` (type: `string`):

clinic, local, food, education, b2b, ecommerce, realestate or other.

## `name` (type: `string`):

Optional, used in the suggested message.

## `city` (type: `string`):

Optional.

## `sells` (type: `string`):

Optional.

## `value` (type: `integer`):

Revenue from one customer.

## `budget` (type: `integer`):

0 means free channels only.

## `role` (type: `string`):

ml, mlops, devops, data, backend, frontend or qa.

## `level` (type: `string`):

junior, mid, senior or lead.

## Actor input object example

```json
{
  "service": "plan",
  "type": "clinic",
  "value": 5000,
  "budget": 0,
  "role": "ml",
  "level": "mid"
}
```

# Actor output Schema

## `results` (type: `string`):

The plan or rubric produced by this run.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("anamika67/nxtwaves-expert-agents").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("anamika67/nxtwaves-expert-agents").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call anamika67/nxtwaves-expert-agents --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,anamika67/nxtwaves-expert-agents"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ITPhvrZ3i447MM46Z/builds/L0G54h8xfVY5ZeApm/openapi.json