# K-Pop Photocard Price Index — Korean Market Medians (`kdatafactory/kpop-photocard-index`) Actor

The first K-pop photocard price index built on Korean-origin market data (Pocamarket). One row per artist/member: listing count, median/min/max USD asking price, average wish count, sample listing URLs. Price against the origin market, not eBay. Aggregated card data only — no seller identity.

- **URL**: https://apify.com/kdatafactory/kpop-photocard-index.md
- **Developed by:** [Seok June Park](https://apify.com/kdatafactory) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

## K-Pop Photocard Price Index 📊🎴

The **first K-pop photocard price index built on Korean-origin market data**. This actor
samples live listings from [Pocamarket](https://pocamarket.com) (포카마켓) — the global
marketplace where K-pop fans buy and resell photocards — and aggregates them into one
clean index row per **(artist, member)**: listing count, **median / min / max USD asking
price**, average wish count (demand signal), and sample listing URLs.

Sellers and buyers on eBay, Mercari, or Depop usually price photocards by guessing from
scattered listings. This index lets you **price against the origin market** instead.

> **Try it free.** Apify's free plan includes $5 of monthly platform credit — roughly **1,600 results** from this actor, and one run emits only ~20–150 index rows, so that's **months of daily index snapshots**, no credit card required. Set your input, click Start, and export JSON/CSV/Excel.

---

### 🚀 What it does

1. **Samples** up to `maxListings` photocard listings from Pocamarket's public catalog API
   (each listing already carries the lowest current USD asking price across sellers).
2. **Groups** them by the catalog's own artist / member labels.
3. **Aggregates** each group into one index row: `listing_count`,
   `median_price_usd`, `min_price_usd`, `max_price_usd`, `avg_wish_count`, and up to 3
   `sample_urls`.

Give it a list of artists to build a focused per-member index, or leave `artists` empty to
index the top (newest) listings across the whole catalog.

> **Privacy first:** this is an **aggregate index** — card + price statistics only. The
> catalog API carries no seller nicknames, IDs, or profiles, and no seller identity exists
> anywhere in this actor's pipeline or output.

---

### 📥 Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `artists` | array | `[]` | Artist/group names to index (e.g. `SEVENTEEN`, `ATEEZ`, `NewJeans`). Empty = top listings across the whole catalog. |
| `maxListings` | integer | `400` | How many listings to sample and aggregate (cap 2,000, split evenly across artists). More listings = deeper groups, more reliable medians. |
| `minListingsPerGroup` | integer | `3` | Drop (artist, member) groups backed by fewer priced listings — thin groups make noisy medians. |
| `proxyConfiguration` | object | off | Optional Apify proxy. Not required — enable one if you hit rate limits at scale. |

**Input example — per-member price index for two groups:**

```json
{
  "artists": ["SEVENTEEN", "ATEEZ"],
  "maxListings": 400,
  "minListingsPerGroup": 3
}
````

**You are billed per INDEX ROW emitted (typically 20–150 per run), not per listing sampled.**

***

### 📤 Output

Each (artist, member) group is one dataset record in this shape (real sample from a live run):

```json
{
  "source": "pocamarket_index",
  "artist": "ATEEZ",
  "member": "SEONGHWA",
  "listing_count": 6,
  "median_price_usd": 9.8,
  "min_price_usd": 9.8,
  "max_price_usd": 24.5,
  "avg_wish_count": 9.3,
  "sample_urls": [
    "https://pocamarket.com/search?photo_card_id=484215",
    "https://pocamarket.com/search?photo_card_id=485019",
    "https://pocamarket.com/search?photo_card_id=487148"
  ],
  "scraped_at": "2026-07-10T15:17:36.542+09:00"
}
```

**Field notes**

- `listing_count` — number of distinct priced photocards sampled for this group.
- `median_price_usd` / `min_price_usd` / `max_price_usd` — statistics over each card's
  **lowest current asking price** (after any active discount), in **USD** (Pocamarket's
  global marketplace prices in USD).
- `avg_wish_count` — mean wishlist count across the group's cards, a **demand signal**.
- `sample_urls` — up to 3 example catalog listings from the group, most-wished first.
- `artist` / `member` — the **catalog's own labels** (e.g. `Seventeen`, `SEUNGKWAN`).
  Unit and full-group cards carry member labels like `Unit` / `Group` and form their own rows.
- A 20-row real sample lives in [`samples/sample-output.json`](samples/sample-output.json).

***

### 💡 Use cases

- **Resale pricing** — price your photocards on eBay / Mercari / Depop against the
  **Korean-origin market median** instead of guessing from three stale listings.
- **Arbitrage spotting** — compare origin-market medians to Western marketplace prices and
  find the spread per artist/member.
- **Collectible market analytics** — track which members command price premiums, and how
  demand (`avg_wish_count`) maps to price.
- **Trend monitoring** — schedule daily runs and chart median movement per member around
  comebacks, tours, and enlistments.
- **AI agents & LLM pipelines** — a compact, numeric index table is far cheaper to feed an
  agent than thousands of raw listings.

***

### 🌐 Data source

This actor reads Pocamarket's **public** catalog JSON API — the same one that powers
pocamarket.com — and aggregates in one pass. No login, no private API, no HTML scraping.
The endpoint returns card-level data with the lowest asking price already consolidated
across sellers, so **no proxy is required** in most runs; enable an Apify proxy for IP
diversity at scale.

Want the underlying card-level rows instead of the index? Use the companion
[pocamarket-scraper](https://apify.com/kdatafactory/pocamarket-scraper) actor.

***

### ⚠️ Known limitations (honest notes)

- **Asking-price index, not sold-price index.** Statistics are computed over current
  (lowest) asking prices, not completed transactions.
- **Sample-based medians.** Each run samples up to `maxListings` listings (newest first),
  so medians describe the current market surface, not the full historical order book.
  Raise `maxListings` for deeper groups.
- **Thin groups are dropped** below `minListingsPerGroup` (default 3). If *no* group
  reaches the threshold (tiny `maxListings`), the actor emits all observed groups rather
  than failing, and logs a warning.
- **`artists` is a keyword search.** Results are grouped by the catalog's own labels
  (e.g. `Seventeen`, not `SEVENTEEN`), and a keyword can occasionally match cards of other
  artists; such stray groups are usually removed by `minListingsPerGroup`.
- **No card\_type / album-era breakdown in v0.1.** Grouping is per (artist, member) only.

***

### ⚖️ Rate & legality note

- Only **public, non-personal** catalog data is read — the same listings anyone sees on
  Pocamarket without logging in — and only **aggregated statistics** are emitted.
  **No personal data**: the catalog API carries no seller nicknames, IDs, or profiles, and
  this actor's output contains no seller identity of any kind. `artist`/`member` are
  public commercial attribution (like an author name on a book).
- Requests are **rate-limited** (sequential pages, ≥500 ms delay) to stay light on the site.
- You are responsible for complying with Pocamarket's Terms of Service and applicable law
  in your jurisdiction. Use the data for research, pricing, and analytics — not to
  replicate the platform.

***

### ❓ FAQ

**Is it legal to scrape this data?**
This actor reads only public, non-personal catalog data and outputs aggregated statistics
per artist/member. No seller data is collected at any stage. You are responsible for how
you use the data; see the rate & legality note above.

**What does it cost in practice?**
$3.00 per 1,000 results (launch pricing) + a few cents of platform usage. One run emits
roughly 20–150 index rows, so a **daily snapshot costs well under $0.50/day**. Apify's
free $5 monthly credit covers ~1,600 results.

**Do I need to configure proxies?**
No — the default settings work out of the box. Optionally, enable an Apify proxy for IP
diversity when running at scale.

**How fresh is the data?**
Every run samples the live Pocamarket catalog at run time. Schedule the actor for
recurring index snapshots and diff the medians.

**Why do median and min sometimes match?**
Popular cards often have many listings at the same lowest asking price, so the median can
sit at the minimum. That's the real market shape, not a bug.

**What is NOT included?**
Sold/transaction prices (asking prices only), card\_type / album-era breakdowns (grouping
is artist + member), raw card-level rows (use
[pocamarket-scraper](https://apify.com/kdatafactory/pocamarket-scraper) for those), and
any seller identity (by design, never).

***

### 🤖 Use with AI agents (MCP)

Call this Actor as a tool from Claude or any MCP-compatible AI agent — no glue code. Point your MCP client at Apify's server, scoped to this Actor:

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=kdatafactory/kpop-photocard-index",
      "headers": { "Authorization": "Bearer <YOUR_APIFY_TOKEN>" }
    }
  }
}
```

Your agent can then pull K-pop photocard median prices by member on demand — no scraping code in your app. Grab a free token from [Apify → Integrations](https://console.apify.com/settings/integrations).

### 🇰🇷 More Korean data actors

This actor is part of a suite of Korean-platform scrapers by the same maintainer:

- [pocamarket-scraper](https://apify.com/kdatafactory/pocamarket-scraper) — the raw card-level listings behind this index: per-card prices, stock, wishes.
- [ktown4u-scraper](https://apify.com/kdatafactory/ktown4u-scraper) — K-pop albums & official merch prices from a global K-pop shop.
- [bunjang-scraper](https://apify.com/kdatafactory/bunjang-scraper) — Korea's top secondhand marketplace, resale listings & prices.

Browse all: [apify.com/kdatafactory](https://apify.com/kdatafactory)

***

### 🏃 Run it

On Apify: set your input and click **Start**. Locally:

```bash
npm install
## put your input in storage/key_value_stores/default/INPUT.json
npm start
```

Results land in the default dataset (Apify) or `./storage/datasets/default` (local).

***

*If this actor saves you time, a rating on the [Store page](https://apify.com/kdatafactory/kpop-photocard-index) helps a solo maintainer a lot. Found an issue? Open it in the Issues tab — I respond fast.*

# Actor input Schema

## `artists` (type: `array`):

Artist / group names to index (e.g. 'SEVENTEEN', 'ATEEZ', 'NewJeans'). Each entry is searched against the Pocamarket catalog and the results are grouped by the catalog's own artist/member labels. Leave empty to index the top (newest) listings across the whole catalog.

## `maxListings` (type: `integer`):

How many catalog listings to fetch and aggregate (split evenly across artists). More listings = deeper groups and more reliable medians. Note: you are billed per INDEX ROW emitted, not per listing sampled.

## `minListingsPerGroup` (type: `integer`):

Drop (artist, member) groups backed by fewer than this many priced listings — thin groups make noisy medians. If no group reaches the threshold, the actor emits all observed groups instead of failing.

## `proxyConfiguration` (type: `object`):

Optional Apify proxy. The catalog API usually works on a direct connection; enable a proxy (e.g. RESIDENTIAL) only if you hit rate limits at scale.

## Actor input object example

```json
{
  "artists": [
    "SEVENTEEN",
    "ATEEZ"
  ],
  "maxListings": 400,
  "minListingsPerGroup": 3,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "artists": [
        "SEVENTEEN",
        "ATEEZ"
    ],
    "maxListings": 400,
    "minListingsPerGroup": 3
};

// Run the Actor and wait for it to finish
const run = await client.actor("kdatafactory/kpop-photocard-index").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 = {
    "artists": [
        "SEVENTEEN",
        "ATEEZ",
    ],
    "maxListings": 400,
    "minListingsPerGroup": 3,
}

# Run the Actor and wait for it to finish
run = client.actor("kdatafactory/kpop-photocard-index").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 '{
  "artists": [
    "SEVENTEEN",
    "ATEEZ"
  ],
  "maxListings": 400,
  "minListingsPerGroup": 3
}' |
apify call kdatafactory/kpop-photocard-index --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=kdatafactory/kpop-photocard-index",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "K-Pop Photocard Price Index — Korean Market Medians",
        "description": "The first K-pop photocard price index built on Korean-origin market data (Pocamarket). One row per artist/member: listing count, median/min/max USD asking price, average wish count, sample listing URLs. Price against the origin market, not eBay. Aggregated card data only — no seller identity.",
        "version": "0.1",
        "x-build-id": "VyQBkPhb5BvdFzByO"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/kdatafactory~kpop-photocard-index/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-kdatafactory-kpop-photocard-index",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/kdatafactory~kpop-photocard-index/runs": {
            "post": {
                "operationId": "runs-sync-kdatafactory-kpop-photocard-index",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/kdatafactory~kpop-photocard-index/run-sync": {
            "post": {
                "operationId": "run-sync-kdatafactory-kpop-photocard-index",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "artists": {
                        "title": "Artists (search keywords)",
                        "type": "array",
                        "description": "Artist / group names to index (e.g. 'SEVENTEEN', 'ATEEZ', 'NewJeans'). Each entry is searched against the Pocamarket catalog and the results are grouped by the catalog's own artist/member labels. Leave empty to index the top (newest) listings across the whole catalog.",
                        "default": [],
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxListings": {
                        "title": "Max listings to sample",
                        "minimum": 20,
                        "maximum": 2000,
                        "type": "integer",
                        "description": "How many catalog listings to fetch and aggregate (split evenly across artists). More listings = deeper groups and more reliable medians. Note: you are billed per INDEX ROW emitted, not per listing sampled.",
                        "default": 400
                    },
                    "minListingsPerGroup": {
                        "title": "Min listings per group",
                        "minimum": 1,
                        "maximum": 100,
                        "type": "integer",
                        "description": "Drop (artist, member) groups backed by fewer than this many priced listings — thin groups make noisy medians. If no group reaches the threshold, the actor emits all observed groups instead of failing.",
                        "default": 3
                    },
                    "proxyConfiguration": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "Optional Apify proxy. The catalog API usually works on a direct connection; enable a proxy (e.g. RESIDENTIAL) only if you hit rate limits at scale.",
                        "default": {
                            "useApifyProxy": false
                        }
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
