# 🇮🇳 India Trademark Search — WIPO Brand DB (`nexgendata/india-trademark-search`) Actor

Search Indian trademark records via the WIPO Global Brand Database — mark, owner, status, Nice class, filing & registration dates. Watch-check for status changes.

- **URL**: https://apify.com/nexgendata/india-trademark-search.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 trademark records

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/docs.md):

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

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

## 🇮🇳 India Trademark Search — Brand Clearance & Watch API

**Search Indian trademarks by mark name or owner** for knockout, clearance screening, and brand monitoring. This Actor returns clean, structured JSON — mark text, owner, status, Nice classes, application/registration numbers, and filing/registration dates — for records on the **Indian register (office = IN)**. Built for trademark attorneys, brand strategists, IP-monitoring teams, startup founders, and AI agents that need Indian trademark data without a CAPTCHA-gated portal.

> **Source: the WIPO Global Brand Database (Indian records).** This Actor reads the Indian slice (`office = IN`) of WIPO's **Global Brand Database** (branddb.wipo.int) — the official WIPO aggregation that includes the IP India national collection. It does **not** scrape the IP India / ipindia.gov.in portal directly (that register is human-CAPTCHA and login gated). Every record is labelled `source = "WIPO Global Brand Database"` and `office = "IN"`.

> **⚖️ Screening signal, not a legal opinion (rule #10).** Results — including `similarity_score` and `clearance_risk` — are a string/phonetic **screening** signal and a **candidate filter** to help you triage. They are **not** a legal clearance determination, a freedom-to-operate opinion, or a similarity ruling. Confirm anything material with qualified Indian trademark counsel.

### 📊 What you get

One flat record per Indian trademark:

- `mark` — the mark / brand verbal element
- `owner` — holder / applicant name
- `status` — India-native normalised status (Registered, Pending, Accepted, Opposition, Published, Abandoned, Cancelled, Expired, Refused…)
- `status_raw` — the raw WIPO status before normalisation
- `serial_number` — Indian application number
- `registration_number` — registration number (when registered)
- `filing_date`, `registration_date` — ISO `YYYY-MM-DD`
- `class` — Nice class number(s)
- `goods_services` — goods & services text (when present)
- `office` — always `IN`
- `trademark_type` — mark feature (Word / Combined / Figurative…)
- `key_field` / `st13` — WIPO **ST13** stable id (dedup + watch-diff key)
- `detail_url` — link to the WIPO GBD record
- `similarity_score` — composite text+token+phonetic screening score (0-1)
- `clearance_risk` — coarse Low / Medium / High screening band
- `source` — `WIPO Global Brand Database`

### 💵 Pricing — pay per result

Pay-per-event, no subscription, no minimum:

| Event | Price |
|---|---|
| Actor start | $0.00005 per run |
| **Trademark record** | **$0.05 each** (primary event) |
| Watch check (watch mode only) | $0.05 per run (non-primary) |

**About 20 Indian trademark records per $1.**

#### Worked example
A brand team screening a candidate name pulls the top 20 Indian marks:

- 1 × actor start = $0.00005
- 20 × trademark record × $0.05 = **$1.00**
- **Total ≈ $1.00** for a full India knockout screen.

A quiet weekly **watch** run that finds no changes costs only the actor start + one **watch check** = **$0.05**.

### 🧪 Sample output

```json
{
  "mark": "TATA",
  "owner": "TATA SONS PRIVATE LIMITED",
  "status": "Registered",
  "status_raw": "Registered",
  "serial_number": "450770",
  "registration_number": "450770",
  "filing_date": "1986-03-10",
  "registration_date": "1986-03-10",
  "class": ["6"],
  "office": "IN",
  "trademark_type": "Word",
  "st13": "IN501986000450770",
  "key_field": "IN501986000450770",
  "detail_url": "https://branddb.wipo.int/en/similarname/brand/IN501986000450770",
  "similarity_score": 1.0,
  "clearance_risk": "High",
  "source": "WIPO Global Brand Database"
}
````

*(Real record returned by a live `office=IN` query for "Tata".)*

### ⏰ Watch mode — monitor Indian filings on a schedule

Set **Mode = Watch** (or `watchMode: true`) and run this Actor on a schedule to turn a one-off Indian clearance search into ongoing monitoring:

- Remembers the Indian marks it has already seen for each query (per optional **Watch label**), persisted across runs.
- On the **first run** it seeds a baseline silently — no alerts.
- On **every later run** it returns **only the deltas**: newly-filed Indian marks and marks whose status changed (e.g. Pending → Accepted → Registered, or → Abandoned). Quiet runs return an empty dataset.
- `status_change` deltas carry the India-native `previous_status` and `status`; every record carries `similarity_score` + `clearance_risk`.
- **Fail-loud:** if WIPO is blocked or unreachable, the watch run **fails before any watch-check is charged** — it never emits a false "all clear" or bills for a check it could not make.

#### Set up a recurring watch

1. **Save a Task:** `Mode = Watch`, your brand in **Search Query**, an optional **Watch label**, then **Save as a new task** (e.g. `Watch: <brand> — India`).
2. **Schedule it:** Schedules → Create schedule → add the task → daily/weekly cron. First run baselines; later runs return only changes.
3. **Wire an alert:** on the task's **Integrations** tab add email/Slack/webhook triggered **on run success with a non-empty dataset** — so you're notified only when an Indian mark actually changes.

### 🤖 Use with AI agents · API · CLI

**AI agents (MCP / Claude / OpenAI / n8n):** point any MCP-aware client at this Actor and run Indian trademark clearance on demand.

> Sample prompt: *"Watch for new Indian trademark filings matching my brand weekly and alert me on conflicts."*

**Apify API (Python):**

```python
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/india-trademark-search").call(run_input={
    "query": "Tata",
    "searchType": "name",
    "maxResults": 20
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["mark"], item["status"], item["owner"])
```

**CLI:**

```bash
apify call nexgendata/india-trademark-search \
  --input='{"query":"Reliance","searchType":"owner","maxResults":20}'
```

### 🔗 Related NexGenData IP actors — clear a mark across every register

- **[USPTO Trademark Search (US)](https://apify.com/nexgendata/uspto-trademark-search?fpr=2ayu9b)** — US brand clearance + watch, same output shape.
- **[EUIPO Trademark Search (EU)](https://apify.com/nexgendata/euipo-trademark-search?fpr=2ayu9b)** — EUIPO + TMview across 35+ EU/EEA registries.
- **[WIPO PATENTSCOPE (Global patents)](https://apify.com/nexgendata/wipo-patentscope-search?fpr=2ayu9b)** — worldwide PCT & national patents.

**India Six — the NexGenData India data suite:**
[NSE/BSE Company Announcements](https://apify.com/nexgendata/nse-bse-announcements?fpr=2ayu9b) ·
[MCA Company Master Data](https://apify.com/nexgendata/india-mca-company-search?fpr=2ayu9b) ·
[GST Taxpayer Lookup](https://apify.com/nexgendata/india-gst-search?fpr=2ayu9b) ·
[MagicBricks Real Estate](https://apify.com/nexgendata/india-magicbricks-real-estate?fpr=2ayu9b) ·
[Indian Court Records](https://apify.com/nexgendata/india-court-records?fpr=2ayu9b) ·
**India Trademark Search ← you are here**

### ❓ FAQ

**Where does the data come from?**
The **WIPO Global Brand Database** (branddb.wipo.int), filtered to Indian records (`office = IN`). WIPO aggregates the IP India national collection into its Global Brand Database; this Actor reads that Indian slice.

**Does this scrape the IP India (ipindia.gov.in) website directly?**
No. The IP India public search portal is human-CAPTCHA and login gated. This Actor uses the WIPO Global Brand Database instead, which exposes the same Indian records through a machine-readable interface. Records are explicitly labelled `source = "WIPO Global Brand Database"`.

**Is this a legal clearance or freedom-to-operate opinion?**
No. It is a **screening / knockout** tool. `similarity_score` and `clearance_risk` are candidate filters, not legal opinions. Confirm anything material with Indian trademark counsel.

**Can I search by owner?**
Yes — set `searchType = owner` and pass the holder/applicant name.

**What if WIPO is temporarily blocked or rate-limited?**
The Actor is **fail-loud**: a block returns an explicit `SOURCE BLOCKED` failure (nothing charged), never a misleading empty "no conflicts" result. It retries with a fresh CAPTCHA solve and can route through a residential proxy.

**Output formats?**
JSON, CSV, Excel, and the Apify dataset API.

### About NexGenData

NexGenData publishes buyer-intent and public-record actors across IP registries, financial filings, company data, and more — all pay-per-result. Browse the catalog at [apify.com/nexgendata](https://apify.com/nexgendata?fpr=2ayu9b).

***

*Data sourced from the WIPO Global Brand Database (public intellectual-property records, Indian collection). Provided as-is for information and screening purposes; not legal advice.*

# Actor input Schema

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

Trademark mark name (default) or owner/applicant name (when searchType=owner). Searched against the Indian records (office=IN) of the WIPO Global Brand Database.

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

name = search by mark / brand name; owner = search by owner / applicant name.

## `maxResults` (type: `integer`):

Maximum number of Indian trademark records to return (1-50).

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

'Search' = one-off India clearance search. 'Watch' = monitor this query on a schedule and return ONLY new or changed Indian filings since the last run (first run just seeds the baseline).

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

Optional. Names this watch so multiple watches stay independent -- each label keeps its own memory of previously-seen Indian marks.

## `similarityThresholdPct` (type: `integer`):

Only alert on marks at least this similar to your query. String/phonetic SCREENING signal (candidate filter), NOT a legal similarity opinion. Default 80.

## `alertOnNewFilings` (type: `boolean`):

Alert when an Indian mark appears that was not seen on the previous run.

## `alertOnStatusChange` (type: `boolean`):

Alert when a previously-seen Indian mark changes status (e.g. Pending -> Accepted -> Registered, or -> Abandoned).

## `watchMode` (type: `boolean`):

Fleet-standard alias for mode='watch'. Save this query and, on every later run, return ONLY items new since the last run. Billed $0.05 per check.

## Actor input object example

```json
{
  "query": "Tata",
  "searchType": "name",
  "maxResults": 20,
  "mode": "search",
  "similarityThresholdPct": 80,
  "alertOnNewFilings": true,
  "alertOnStatusChange": true,
  "watchMode": false
}
```

# Actor output Schema

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

Indian trademark records -- full matches in search mode, or only new/changed filings in watch mode.

# 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 = {
    "mode": "search",
    "watchLabel": "",
    "similarityThresholdPct": 80,
    "alertOnNewFilings": true,
    "alertOnStatusChange": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/india-trademark-search").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 = {
    "mode": "search",
    "watchLabel": "",
    "similarityThresholdPct": 80,
    "alertOnNewFilings": True,
    "alertOnStatusChange": True,
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/india-trademark-search").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 '{
  "mode": "search",
  "watchLabel": "",
  "similarityThresholdPct": 80,
  "alertOnNewFilings": true,
  "alertOnStatusChange": true
}' |
apify call nexgendata/india-trademark-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgendata/india-trademark-search",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "🇮🇳 India Trademark Search — WIPO Brand DB",
        "description": "Search Indian trademark records via the WIPO Global Brand Database — mark, owner, status, Nice class, filing & registration dates. Watch-check for status changes.",
        "version": "0.0",
        "x-build-id": "whN09mCaSECmMF4sz"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/nexgendata~india-trademark-search/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-nexgendata-india-trademark-search",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/nexgendata~india-trademark-search/runs": {
            "post": {
                "operationId": "runs-sync-nexgendata-india-trademark-search",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/nexgendata~india-trademark-search/run-sync": {
            "post": {
                "operationId": "run-sync-nexgendata-india-trademark-search",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "required": [
                    "query"
                ],
                "properties": {
                    "query": {
                        "title": "Search Query",
                        "type": "string",
                        "description": "Trademark mark name (default) or owner/applicant name (when searchType=owner). Searched against the Indian records (office=IN) of the WIPO Global Brand Database.",
                        "default": "Tata"
                    },
                    "searchType": {
                        "title": "Search Type",
                        "enum": [
                            "name",
                            "owner"
                        ],
                        "type": "string",
                        "description": "name = search by mark / brand name; owner = search by owner / applicant name.",
                        "default": "name"
                    },
                    "maxResults": {
                        "title": "Max Results",
                        "minimum": 1,
                        "maximum": 50,
                        "type": "integer",
                        "description": "Maximum number of Indian trademark records to return (1-50).",
                        "default": 20
                    },
                    "mode": {
                        "title": "Mode",
                        "enum": [
                            "search",
                            "watch"
                        ],
                        "type": "string",
                        "description": "'Search' = one-off India clearance search. 'Watch' = monitor this query on a schedule and return ONLY new or changed Indian filings since the last run (first run just seeds the baseline).",
                        "default": "search"
                    },
                    "watchLabel": {
                        "title": "Watch label (watch mode)",
                        "type": "string",
                        "description": "Optional. Names this watch so multiple watches stay independent -- each label keeps its own memory of previously-seen Indian marks."
                    },
                    "similarityThresholdPct": {
                        "title": "Similarity threshold % (watch mode)",
                        "minimum": 0,
                        "maximum": 100,
                        "type": "integer",
                        "description": "Only alert on marks at least this similar to your query. String/phonetic SCREENING signal (candidate filter), NOT a legal similarity opinion. Default 80."
                    },
                    "alertOnNewFilings": {
                        "title": "Alert on new filings (watch mode)",
                        "type": "boolean",
                        "description": "Alert when an Indian mark appears that was not seen on the previous run.",
                        "default": true
                    },
                    "alertOnStatusChange": {
                        "title": "Alert on status changes (watch mode)",
                        "type": "boolean",
                        "description": "Alert when a previously-seen Indian mark changes status (e.g. Pending -> Accepted -> Registered, or -> Abandoned).",
                        "default": true
                    },
                    "watchMode": {
                        "title": "Watch mode",
                        "type": "boolean",
                        "description": "Fleet-standard alias for mode='watch'. Save this query and, on every later run, return ONLY items new since the last run. Billed $0.05 per check.",
                        "default": 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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```