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Particl Market Research

Businessby Particl
Launched Mar 9, 2026 on ChatGPT

Particl Market Research helps teams answer ecommerce research questions directly in ChatGPT. It supports company discovery, product catalog research, product detail and variant analysis, market leader discovery, market trend analysis, marketing asset discovery, retail event tracking, sales timeseries, and product mix breakdowns.

The app uses your authenticated Particl account and returns structured market intelligence data from Particl APIs.

17ChatGPT Tools
ParticlDeveloper
BusinessCategory

Available Tools

Get Company Details

get_company_details
Full Description

Get detailed information about a specific company.

Args: company_id: The Particl company ID (e.g., '1234567')

Returns: Company profile including name, domain, country, vertical, start date, product count, whether product-level data exists (has_product_data), and top product categories.

The has_product_data field indicates whether the company has product-level data. When has_sales_data is false, sales fields are not populated for this company. When has_pricing_data is false, pricing fields are not populated.

Parameters (1 required)
Required
company_idstring

Get Company Events

get_company_events
Full Description

Get promotional events for a company — product launches, sales, restocks, price changes, and discounts — with associated marketing assets and products. Use search_companies first to find the company_id.

Args: company_id: The Particl company ID (e.g., '1234567') - required start_date: Start of date range (ISO format, e.g., '2025-01-01'). Defaults to ~30 days ago. end_date: End of date range (ISO format, e.g., '2025-01-31'). Defaults to ~2 days ago. event_types: Filter by event type(s). Common values: 'Promotion', 'Product Release', 'Special Event', 'Collaboration', 'Restock'. Many other values exist — call without this filter first to discover available types for a company. channels: Filter by marketing channel(s). Options: 'email', 'instagram_post', 'facebook_ads', 'sms', 'homepage_screenshot' page_size: Number of results (default 10, max 100) page: Page number for pagination (0-indexed, default 0)

Returns: List of promotional events with associated marketing assets and products

Parameters (1 required, 6 optional)
Required
company_idstring
Optional
channelsarray
Default: null
end_datestring
Default: null
event_typesarray
Default: null
pageinteger
Default: 0
page_sizeinteger
Default: 10
start_datestring
Default: null

Get Marketing Assets

get_company_marketing_assets
Full Description

List a company's marketing assets — emails, Instagram posts, Facebook/Meta ads, SMS messages, and homepage screenshots. Use search_companies first to find the company_id. .

Args: company_id: The Particl company ID (e.g., '1234567') - required asset_types: Filter by asset type(s). Options: 'email', 'instagram_post', 'facebook_ads', 'sms', 'homepage_screenshot'. Defaults to all types. start_date: Start of date range (ISO format, e.g., '2025-01-01'). Defaults to ~30 days ago. end_date: End of date range (ISO format, e.g., '2025-01-31'). Defaults to ~2 days ago. page_size: Number of results (default 25, max 100) page: Page number for pagination (0-indexed, default 0)

Returns: List of marketing assets with content, engagement metrics, and metadata. Assets include product_ids when available — use these with get_company_products to look up sales and revenue data for the featured products.

Parameters (1 required, 5 optional)
Required
company_idstring
Optional
asset_typesarray
Default: null
end_datestring
Default: null
pageinteger
Default: 0
page_sizeinteger
Default: 25
start_datestring
Default: null

Get Marketing Stats

get_company_marketing_stats
Full Description

Get aggregated marketing engagement statistics for a company — posting frequency by type, average likes, engagement rate, most liked post, and posting hour distribution. Use search_companies first to find the company_id.

Args: company_id: The Particl company ID (e.g., '1234567') - required

Returns: total_assets: total number of marketing assets in the last 30 days assets_by_type: dict of asset counts keyed by type (e.g. {"instagram_post": 42, "email": 10}) engagement_metrics: dict of {avg_likes, avg_comments} keyed by type posting_hours: dict of hour-frequency lists keyed by type estimated_reach: dict of average follower counts keyed by type (e.g. {"instagram_post": 50000.0}) avg_likes: dict of average likes keyed by type (e.g. {"instagram_post": 1200.5}) engagement_rate: dict of engagement rate percentages keyed by type (e.g. {"instagram_post": 4.2}) most_liked_post: dict of most liked post details keyed by type

Parameters (1 required)
Required
company_idstring

Get Company Products

get_company_products
Full Description

Deep-dive into a specific company's product catalog. This is the primary tool for company-level analysis — supports full pagination and custom date ranges for sales data. Use search_companies first to find the company_id.

Args: company_id: The Particl company ID (e.g., '1234567') - required. Use search_companies to find this. product_type_id: Product type UUID from get_product_types. Pass the product_type_id value, not the name. keyword: Filter by keyword/tag (e.g., 'wool', 'recycled'). Searches product tags only, NOT product titles. Use title_search to search by title. title_search: Search products by title (e.g., 'tank top', 'winter jacket'). Matches against product display title. brand: Filter by brand name min_price: Minimum price filter max_price: Maximum price filter sort_by: Sort by 'sales_revenue' (default), 'sales_volume', 'price', or 'launch_date' sort_direction: 'desc' (default) or 'asc' page_size: Number of results (default 25, max 100) page: Page number for pagination (0-indexed, default 0) start_date: Start of sales data aggregation window (ISO format, e.g., '2025-01-01'). Defaults to ~30 days ago. end_date: End of sales data aggregation window (ISO format, e.g., '2025-01-31'). Defaults to today.

Returns: List of products from the specified company with pricing, sales estimates, and metadata

Parameters (1 required, 12 optional)
Required
company_idstring
Optional
brandstring
Default: null
end_datestring
Default: null
keywordstring
Default: null
max_pricenumber
Default: null
min_pricenumber
Default: null
pageinteger
Default: 0
page_sizeinteger
Default: 25
product_type_idstring
Default: null
sort_bystring
Options:sales_revenuesales_volumepricelaunch_date
Default: sales_revenue
sort_directionstring
Options:ascdesc
Default: desc
start_datestring
Default: null
title_searchstring
Default: null

Get Credit Balance

get_credit_balance
Full Description

Check your remaining export credits.

Returns: Credit balance including total limit, used, and remaining credits

Get Market Pricing Analysis

get_market_pricing_analysis
Full Description

Get pricing analysis for a market or category.

Args: product_type_id: Product type UUID from get_product_types. Pass the product_type_id value, not the name. keyword: Filter by keyword/tag end_date: End of trailing 30-day analysis window (ISO format, e.g., '2025-01-15'). Defaults to ~2 days ago.

Returns: Pricing summary with average, median, range, and distribution buckets

Parameters (0 required, 3 optional)
Optional
end_datestring
Default: null
keywordstring
Default: null
product_type_idstring
Default: null

Get Market Sales

get_market_sales
Full Description

Get aggregated market-level sales data with monthly timeseries.

Returns total market revenue and volume, plus monthly timeseries showing how the market is trending over time. Use with get_market_top_companies and get_market_top_products for complete market analysis.

Args: product_type_id: Product type UUID from get_product_types. Pass the product_type_id value, not the name. keyword: Filter by keyword/tag (e.g., 'sustainable', 'organic') end_date: End of trailing analysis window (ISO format, e.g., '2025-01-15'). Defaults to ~2 days ago.

Returns: Market sales summary with total revenue/volume and monthly timeseries

Parameters (0 required, 3 optional)
Optional
end_datestring
Default: null
keywordstring
Default: null
product_type_idstring
Default: null

Get Top Companies

get_market_top_companies
Full Description

Get top-performing companies in a market or category. High-level view, no pagination.

Args: product_type_id: Product type UUID from get_product_types. Pass the product_type_id value, not the name. keyword: Filter by keyword/tag (e.g., 'luxury', 'athleisure') end_date: End of trailing 30-day analysis window (ISO format, e.g., '2025-01-15'). Defaults to ~2 days ago.

Returns: List of top companies with revenue and sales volume estimates

Parameters (0 required, 3 optional)
Optional
end_datestring
Default: null
keywordstring
Default: null
product_type_idstring
Default: null

Get Top Products

get_market_top_products
Full Description

Get best-selling products in a market or category. High-level view, no pagination.

Args: product_type_id: Product type UUID from get_product_types. Pass the product_type_id value, not the name. keyword: Filter by keyword/tag (e.g., 'sustainable', 'organic') end_date: End of trailing 30-day analysis window (ISO format, e.g., '2025-01-15'). Defaults to ~2 days ago.

Returns: List of top products with sales estimates, pricing, and product details

Parameters (0 required, 3 optional)
Optional
end_datestring
Default: null
keywordstring
Default: null
product_type_idstring
Default: null

Get Marketing Asset Details

get_marketing_asset_details
Full Description

Get full details of a specific marketing asset — email content, social post with engagement metrics, ad creative with cards, or homepage screenshot.

Args: company_id: The Particl company ID (e.g., '1234567') - required asset_id: The asset ID - required

Returns: Full asset details including content, engagement metrics, metadata, and product_ids when available. Use product_ids with get_company_products to look up sales and revenue data for the featured products.

Parameters (2 required)
Required
asset_idstring
company_idstring

Get Product Breakdown

get_product_breakdown
Full Description

Get product data broken down by a specific attribute (color, brand, material, keyword, gender, or location). .

Useful for understanding product mix — e.g., which colors sell best, which brands dominate, what materials are most popular.

Args: company_id: The Particl company ID (e.g., '1234567') - required. Use search_companies to find this. breakdown_type: What to break down by. One of: 'keyword', 'material', 'colors', 'brands', 'gender', 'locations'. product_type_id: Product type UUID from get_product_types to filter by category. keyword: Filter by keyword/tag (e.g., 'sustainable'). Searches product tags only. start_date: Start of date range (ISO format, e.g., '2025-01-01'). Defaults to ~30 days ago. end_date: End of date range (ISO format, e.g., '2025-01-31'). Defaults to today.

Returns: List of breakdown buckets with name, count, sales_revenue, sales_volume, and pricing

Parameters (2 required, 4 optional)
Required
breakdown_typestring
Options:keywordmaterialcolorsbrandsgenderlocations
company_idstring
Optional
end_datestring
Default: null
keywordstring
Default: null
product_type_idstring
Default: null
start_datestring
Default: null

Get Product Details

get_product_details
Full Description

Get full details for a specific product.

Returns comprehensive product information including pricing, brand, gender, ratings, reviews, images, materials, keywords, and category data. Use get_company_products first to find product_ids.

Args: company_id: The Particl company ID (e.g., '1234567') - required product_id: The product ID - required. Get this from get_company_products or get_market_top_products.

Returns: Full product profile with metadata, ratings, and attributes

Parameters (2 required)
Required
company_idstring
product_idstring

Browse Product Types

get_product_types
Full Description

Browse the product type taxonomy to discover valid categories for filtering.

Use the returned product_type_id values in other tools' product_type_id parameter.

How to use: 1. Call with no parameters to get root-level categories 2. Pass a product_type_id as parent_product_type_id to see its subcategories 3. Keep drilling deeper until you find the right category 4. Use the chosen product_type_id as the product_type_id filter in other tools

Args: parent_product_type_id: Get child categories under this product type. Omit to get root-level categories.

Returns: List of product type categories with product_type_id and name

Parameters (0 required, 1 optional)
Optional
parent_product_type_idstring
Default: null

Get Product Variants

get_product_variants
Full Description

Get variant-level data for a specific product (colors, sizes, individual pricing and sales). Use get_company_products first to find product_ids.

Args: company_id: The Particl company ID (e.g., '1234567') - required product_id: The product ID - required. Get this from get_company_products or get_market_top_products. start_date: Start of sales data window (ISO format, e.g., '2025-01-01'). Defaults to ~30 days ago. end_date: End of sales data window (ISO format, e.g., '2025-01-31'). Defaults to today.

Returns: List of product variants with color, size, pricing, and sales data

Parameters (2 required, 2 optional)
Required
company_idstring
product_idstring
Optional
end_datestring
Default: null
start_datestring
Default: null

Get Sales Timeseries

get_sales_timeseries
Full Description

Get historical sales timeseries data for a company or a single product.

Returns daily, weekly, or monthly sales data points showing revenue, volume, pricing, and inventory over time. Essential for understanding trends, seasonality, and growth. Pass product_id to get timeseries for a single product, or omit for company-wide data.

Args: company_id: The Particl company ID (e.g., '1234567') - required. Use search_companies to find this. product_id: Optional product ID to get timeseries for a single product. Get this from get_company_products or get_market_top_products. product_type_id: Product type UUID from get_product_types to filter by category. keyword: Filter by keyword/tag (e.g., 'sustainable', 'organic'). Searches product tags only. start_date: Start of date range (ISO format, e.g., '2025-01-01'). Defaults to ~30 days ago. end_date: End of date range (ISO format, e.g., '2025-01-31'). Defaults to today. aggregation_type: Time granularity - 'daily', 'weekly', or 'monthly'. Auto-selected if omitted.

Returns: Timeseries data points with sales_revenue, sales_volume, avg_current_price, and totals

Parameters (1 required, 6 optional)
Required
company_idstring
Optional
aggregation_typestring
Default: null
end_datestring
Default: null
keywordstring
Default: null
product_idstring
Default: null
product_type_idstring
Default: null
start_datestring
Default: null

Search Companies

search_companies
Full Description

Search for companies by name or domain.

Args: search: Search term (company name or domain) page_size: Number of results to return (default 25, max 100) page: Page number for pagination (0-indexed, default 0) sort_by: Sort results by 'popularity' (default) or 'start_date' country_code: Filter by country code (default 'US'). Common values: 'US', 'CA', 'AU', 'GB'. Pass empty string to search all countries.

Returns: List of matching companies with their basic info

Parameters (1 required, 4 optional)
Required
searchstring
Optional
country_codestring
Default: US
pageinteger
Default: 0
page_sizeinteger
Default: 25
sort_bystring
Options:popularitystart_date
Default: popularity