# Delivery Exception & Claims Monitor (`plenteous_humidifier/delivery-exception-monitor`) Actor

Detect late, stale, returned, or exception shipments and generate a source-backed HTML evidence pack for support and claims workflows.

- **URL**: https://apify.com/plenteous\_humidifier/delivery-exception-monitor.md
- **Developed by:** [Luigy Gabriel](https://apify.com/plenteous_humidifier) (community)
- **Categories:** Automation, E-commerce, Business
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $30.00 / 1,000 shipment analyzeds

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Delivery Exception & Claims Monitor

Detect shipment problems before customers chase support. This Actor applies transparent exception rules to tracking events, ranks operational risk, and creates an HTML evidence pack that support teams can preserve with a claim.

### Detection rules

- Explicit carrier exceptions, failed attempts, damage, address issues, loss, and customs holds.
- Return-to-sender events.
- Estimated delivery dates that passed beyond your grace period.
- Tracking histories with no new scan beyond your stale threshold.
- Missing dated tracking evidence.

Every flag includes the source status or date that triggered it. The Actor never claims a package is lost based only on elapsed time.

### Sources and billing

`manual` mode analyzes shipment events you provide and does not run another Actor. `seventeen-track` mode calls `crawlerbros/seventeen-track-scraper` (or the marketplace Actor ID you specify). That child Actor has its own availability, terms, and charges in addition to this Actor.

### Example manual input

```json
{
  "provider": "manual",
  "stuckHours": 48,
  "lateGraceHours": 12,
  "shipments": [{
    "trackingNumber": "TEST123",
    "carrier": "Example Carrier",
    "status": "In transit",
    "estimatedDelivery": "2026-08-01T18:00:00Z",
    "events": [{
      "date": "2026-07-30T12:00:00Z",
      "description": "Departed regional facility",
      "location": "Memphis, TN"
    }]
  }]
}
```

The dataset contains one analysis per shipment. `OUTPUT` contains the aggregate summary. `CLAIMS_EVIDENCE` is a printable HTML evidence pack. Carrier policies still govern refunds and claims.

# Actor input Schema

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

Manual mode has no child-Actor cost. Seventeen Track mode calls the selected marketplace Actor, whose charges are separate.

## `shipments` (type: `array`):

Manual records with trackingNumber, optional carrier/status/estimatedDelivery, and dated events.

## `trackingNumbers` (type: `array`):

Used only with the 17TRACK child Actor.

## `stuckHours` (type: `integer`):

Flag an undelivered shipment when no dated scan is newer than this threshold.

## `lateGraceHours` (type: `integer`):

Wait this many hours after the estimated delivery time before flagging a delay.

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

Marketplace Actor ID used only when the 17TRACK provider is selected.

## Actor input object example

```json
{
  "provider": "manual",
  "stuckHours": 48,
  "lateGraceHours": 12,
  "sourceActorId": "crawlerbros/seventeen-track-scraper"
}
```

# Actor output Schema

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

No description

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

No description

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

No description

# 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("plenteous_humidifier/delivery-exception-monitor").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("plenteous_humidifier/delivery-exception-monitor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 plenteous_humidifier/delivery-exception-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=plenteous_humidifier/delivery-exception-monitor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/KfX7BWnGMNa7owj4o/builds/xpkcwI2WDGH38Kpj3/openapi.json