Extract ChatGPT

Extract structured data from ChatGPT with shopping cards, entity extraction, and advanced features for monitoring products, prices, and brand mentions.

POST /v1/monitor/chatgpt

Monitor ChatGPT Responses

cURL

curl --request POST \
  --url https://api.cloro.dev/v1/monitor/chatgpt \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "What do you know about Acme Corp?",
  "country": "US",
  "include": {
    "html": true,
    "markdown": true,
    "rawResponse": true,
    "searchQueries": true
  }
}
'

200

{
  "success": true,
  "result": {
    "text": "The name \"Acme Corporation\" is used in various contexts, both fictional and real. Here's an overview:\n\n🐾 Acme Corporation in Fiction\nThe Acme Corporation is a fictional company featured prominently in Warner Bros. cartoons, particularly the Road Runner/Wile E. Coyote series.",
    "sources": [
      {
        "position": 1,
        "url": "https://www.rippling.com/blog/ai-recruiting?utm_source=chatgpt.com",
        "label": "12 Best AI Recruiting Tools For HR in 2025",
        "description": "Discover the top AI recruiting tools that can help HR professionals streamline their hiring process...",
        "footnote": false,
        "datePublished": "May 22, 2025"
      },
      {
        "position": 2,
        "url": "https://www.index.dev/blog/ai-recruiting-software-hiring-managers?utm_source=chatgpt.com",
        "label": "7 Best AI Recruiting Software for Hiring Managers in 2025",
        "description": "A comprehensive guide to the best AI recruiting software options available for hiring managers...",
        "footnote": false,
        "datePublished": "April 10, 2025"
      },
      {
        "position": 3,
        "url": "https://www.selectsoftwarereviews.com/buyer-guide/ai-recruiting?utm_source=chatgpt.com",
        "label": "10+ Best AI Recruiting Software for 2025: Expert Reviews + Pricing",
        "description": "Expert reviews and pricing information for the best AI recruiting software solutions...",
        "footnote": true
      }
    ],
    "html": "https://storage.cloro.dev/results/c45a5081-808d-4ed3-9c86-e4baf16c8ab8/page-1.html",
    "markdown": "The name \"Acme Corporation\" is used in various contexts, both fictional and real. Here's an overview:\n\n🐾 Acme Corporation in Fiction\nThe Acme Corporation is a fictional company featured prominently in Warner Bros. cartoons, particularly the Road Runner/Wile E. Coyote series.",
    "rawResponse": [
      {
        "type": "resume_conversation_token",
        "token": "eyJhbGciOiJFUzI1Ni...WaVoqQ",
        "conversation_id": "68efc64b-2d74-8012-b87d-28e59f3b8a49"
      },
      {
        "type": "message_start",
        "message": {
          "id": "msg_01JD6Q7H1ZKWM9GD34V5ZW1TYM",
          "role": "assistant",
          "model": "gpt-5"
        }
      },
      {
        "type": "message_delta",
        "delta": {
          "content": [
            {
              "type": "output_text_delta",
              "text_delta": "The name \"Acme Corporation\" is used in various contexts..."
            }
          ]
        }
      },
      {
        "type": "message_stop",
        "reason": "end_turn"
      }
    ],
    "searchQueries": [
      "What is Acme Corporation?",
      "Acme Corp company overview",
      "Acme Corporation products and services"
    ],
    "model": "gpt-5",
    "shoppingCards": [
      {
        "tags": [
          "stylish casual leather sneaker",
          "heritage retro leather sneaker"
        ],
        "products": [
          {
            "title": "Adidas VL Court 3.0",
            "url": "https://www.adidas.com/us/vl-court-3.0-shoes/ID8797.html?utm_source=chatgpt.com",
            "price": "$57.00",
            "featured_tag": "stylish casual leather sneaker",
            "merchant": "adidas + others",
            "image_urls": [
              "https://images.openai.com/static-rsc-1/example.jpg"
            ],
            "rating": 4.7,
            "num_reviews": 10394,
            "id": "3250714974047560249",
            "offers": [
              {
                "merchant_name": "adidas",
                "product_name": "Adidas Women's VL Court 3.0",
                "url": "https://www.adidas.com/us/vl-court-3.0-shoes/ID8797.html?utm_source=chatgpt.com",
                "price": "$57.00",
                "details": "In stock online and nearby, Delivery between Sat - Mon $4.99",
                "available": true,
                "checkoutable": false,
                "price_details": {
                  "base": "$57.00",
                  "total": "$57.00"
                },
                "tag": {
                  "text": "Best price"
                }
              }
            ],
            "rating_grouped_citation": {
              "title": "Adidas Women's VL Court 3.0",
              "url": "https://www.adidas.com/us/vl-court-3.0-shoes/ID8797.html",
              "supporting_websites": [
                {
                  "title": "Adidas Women's VL Court 3.0",
                  "url": "https://www.macys.com/shop/product/adidas-womens-vl-court-3.0-casual-sneakers-from-finish-line?ID=21107988&pla_country=US&CAGPSPN=pla"
                }
              ]
            }
          }
        ]
      }
    ],
    "entities": [
      {
        "type": "product",
        "name": "adidas Grand Court Lo"
      },
      {
        "type": "product",
        "name": "Reebok Club C 85 Vintage"
      },
      {
        "type": "product",
        "name": "Nike Dunk Low Retro SE"
      }
    ],
    "map": [
      {
        "name": "Blue Bottle Coffee",
        "category": "Coffee shop",
        "rating": 4.5,
        "review_count": 1234,
        "description": "Specialty coffee roaster known for their meticulous pour-over preparations",
        "directions_url": null,
        "website_url": "https://bluebottlecoffee.com",
        "phone_number": "[phone]",
        "position": 1,
        "citations": null
      }
    ],
    "citationPills": [
      {
        "url": "https://example.com/article",
        "label": "Example Article Title",
        "description": "A detailed description of the cited content",
        "domain": "example.com",
        "datePublished": "2025-01-01",
        "citationPillId": 0
      }
    ]
  }
}

Overview

The ChatGPT endpoint extracts structured data from ChatGPT with advanced features including shopping cards, brand entities, map entries, raw response data, and query fan-out. It’s the most comprehensive monitoring endpoint, ideal for e-commerce tracking, local business monitoring, and deep analysis.

Web search enabled

This endpoint automatically enables ChatGPT’s web search mode for all requests, ensuring responses include current information from the web with proper source citations.

Unique features

• Sources: Sources include publication dates and footnote indicators for distinguishing primary from secondary references
• Shopping cards: Automatically extracts structured product information with pricing, ratings, offers, and commercial details
• Inline products: Individual product references with detailed rationale, themed reviews, and rendering hints for inline display
• Entity extraction: Identifies and extracts named entities like products, brands, and concepts mentioned in responses
• Map entries: Extracts business and place information including ratings, reviews, contact details, and location data
• Citation pills: Captures inline citations with rich metadata including labels, descriptions, domains, and publication dates
• Raw response access: Includes the complete streaming response payload for advanced debugging
• Query fan-out insights: Reveals the actual query fan-out ChatGPT used to generate responses

Request parameters

Uses common parameters.

ChatGPT-specific options:

• include.rawResponse (boolean): Include raw streaming response events. Defaults to false (+2 credits)
• include.searchQueries (boolean): Include search model queries (fan-out queries) that ChatGPT uses internally to gather information. Defaults to false (+2 credits)

Sources

Sources are references extracted from ChatGPT’s sources modal. They follow the common sources structure with additional ChatGPT-specific fields.

ChatGPT-specific source fields

Field	Type	Description
footnote	boolean	Whether this source appears as a footnote (in a subsequent list in the sources modal)
datePublished	string	The publication date of the source, if available (e.g., “May 22, 2025”)

Example response with sources

{
  "success": true,
  "result": {
    "text": "Here's what I found about AI recruiting tools...",
    "sources": [
      {
        "position": 1,
        "url": "https://www.rippling.com/blog/ai-recruiting?utm_source=chatgpt.com",
        "label": "12 Best AI Recruiting Tools For HR in 2025",
        "description": "Discover the top AI recruiting tools that can help HR professionals streamline their hiring process...",
        "footnote": false,
        "datePublished": "May 22, 2025"
      },
      {
        "position": 2,
        "url": "https://www.index.dev/blog/ai-recruiting-software-hiring-managers?utm_source=chatgpt.com",
        "label": "7 Best AI Recruiting Software for Hiring Managers in 2025",
        "description": "A comprehensive guide to the best AI recruiting software options available for hiring managers...",
        "footnote": false,
        "datePublished": "April 10, 2025"
      },
      {
        "position": 3,
        "url": "https://www.selectsoftwarereviews.com/buyer-guide/ai-recruiting?utm_source=chatgpt.com",
        "label": "10+ Best AI Recruiting Software for 2025: Expert Reviews + Pricing",
        "description": "Expert reviews and pricing information for the best AI recruiting software solutions...",
        "footnote": true
      }
    ]
  }
}

ChatGPT doesn’t provide sources for certain prompts

When web search is triggered but no sources are available, the sources field will return an empty array.

Shopping cards

Shopping cards are automatically extracted when ChatGPT returns product or commercial information. No additional parameters are required - shopping cards are included by default when available in the response.

Shopping card structure

Each shopping card contains:

Field	Type	Description
tags	array	Category tags for the shopping card (e.g., [“electronics”, “deals”])
products	array	Array of product information objects

Product information

Each product includes comprehensive e-commerce data:

Field	Type	Description
title	string	Product name
url	string	Product page URL with ChatGPT attribution
price	string	Current price (e.g., “$57.00”)
featured_tag	string	Product category or style tag
merchant	string	Merchant information (e.g., “adidas + others”)
image_urls	array	Array of product image URLs (multiple sizes)
rating	float	Product rating (0-5 scale)
num_reviews	integer	Number of reviews
id	string	Unique product identifier
offers	array	Array of shopping offers from different merchants
rating_grouped_citation	object	Rating source information with supporting websites

Offer information

Each offer contains merchant-specific details:

Field	Type	Description
merchant_name	string	Merchant name (e.g., “adidas”, “Macy’s”)
product_name	string	Product name as listed by merchant
url	string	Offer URL with ChatGPT attribution
price	string	Offer price (e.g., “$57.00”)
details	string	Stock and delivery information
available	boolean	Offer availability status
checkoutable	boolean	Whether offer can be checked out directly
price_details	object	Detailed price breakdown
tag	object	Promotional tag (e.g., “Best price”)

Price details

Offers include detailed price breakdown:

Field	Type	Description
base	string	Base product price
total	string	Total price including any additional costs

Rating citation information

Products include rating source attribution:

Field	Type	Description
title	string	Source title
url	string	Source URL
supporting_websites	array	Array of supporting website references

Example usage

{
  "prompt": "What are the best sneakers under $100?",
  "model": "CHATGPT",
  "country": "US"
}

Response with shopping cards:

{
  "success": true,
  "result": {
    "text": "If you're shopping for good sneakers under $100, it's definitely doable...",
    "shoppingCards": [
      {
        "tags": [
          "stylish casual leather sneaker",
          "heritage retro leather sneaker",
          "canvas everyday skate-inspired"
        ],
        "products": [
          {
            "title": "Adidas VL Court 3.0",
            "url": "https://www.adidas.com/us/vl-court-3.0-shoes/ID8797.html?utm_source=chatgpt.com",
            "price": "$57.00",
            "featured_tag": "stylish casual leather sneaker",
            "merchant": "adidas + others",
            "image_urls": [
              "https://images.openai.com/static-rsc-1/AY2CiYu1AtGyrY1sX2_dN8Y7naInL0DvIvB1GO-loo2SdZW-LiT6_5gDEgLFJhrM60Vxg2uSbf8tn6WWltaLtpeZkkaGxjwbTm0PlICUvbMwZhhJBABlb-kVVV8m8bYX01_WnkdZrLO2uKEKcYzx3dt1w-E_i-5S4Qarcvp8-hTIM49zkLoHoZcVobqOx8CrulkNdcAoTyegDV532upAMzt1gH7PhFfVVQGyuFsWS_1iaY7_M5qdiKhB01R02Btl"
            ],
            "id": "3250714974047560249",
            "rating": 4.7,
            "num_reviews": 10394,
            "offers": [
              {
                "merchant_name": "adidas",
                "product_name": "Adidas Women's VL Court 3.0",
                "url": "https://www.adidas.com/us/vl-court-3.0-shoes/ID8797.html?utm_source=chatgpt.com",
                "price": "$57.00",
                "details": "In stock online and nearby, Delivery between Sat - Mon $4.99",
                "available": true,
                "checkoutable": false,
                "price_details": {
                  "base": "$57.00",
                  "total": "$57.00"
                },
                "tag": {
                  "text": "Best price"
                }
              },
              {
                "merchant_name": "Macy's",
                "product_name": "Adidas Women's VL Court 3.0",
                "url": "https://www.macys.com/shop/product/adidas-womens-vl-court-3.0-casual-sneakers-from-finish-line?ID=21107988&pla_country=US&CAGPSPN=pla&utm_source=chatgpt.com",
                "price": "$60.00",
                "details": "In stock online and nearby, Free delivery between Fri - Mon",
                "available": true,
                "checkoutable": false,
                "price_details": {
                  "base": "$60.00",
                  "total": "$60.00"
                }
              }
            ],
            "rating_grouped_citation": {
              "title": "Adidas Women's VL Court 3.0",
              "url": "https://www.adidas.com/us/vl-court-3.0-shoes/ID8797.html",
              "supporting_websites": [
                {
                  "title": "Adidas Women's VL Court 3.0",
                  "url": "https://www.macys.com/shop/product/adidas-womens-vl-court-3.0-casual-sneakers-from-finish-line?ID=21107988&pla_country=US&CAGPSPN=pla"
                }
              ]
            }
          }
        ]
      }
    ]
  }
}

Inline products

Inline products are individual product references that appear embedded in ChatGPT’s response text. Unlike shopping cards which group multiple products together, inline products are stand-alone product mentions that can be displayed inline within the text, in comparison tables, or as featured recommendations.

This feature supports OpenAI’s new product discovery capabilities in ChatGPT, enabling richer product experiences with detailed insights and reviews.

Model availability

Inline products currently appear when ChatGPT uses the gpt-5-3 model. ChatGPT automatically selects which model to use for each request, so inline products may not be present in all responses.

For each inline product, cloro automatically fetches additional details including:

• Product rationale: Why this specific product is recommended
• Themed reviews: Reviews organized by themes (Versatility, Ease of Use, Performance, etc.) with sentiment analysis

No additional parameters are required - inline products are automatically extracted and enriched when ChatGPT references products in the response.

Inline product structure

Each inline product contains:

Field	Type	Description
product	object	Complete product information (same structure as shopping cards)
render_as	string	Rendering hint: “inline”, “hero”, or “block”
details	object	Product rationale and themed reviews (automatically fetched)

Product details structure

The details object includes:

Field	Type	Description
rationale	object	Why this product is recommended
reviews	object	Themed reviews with sentiment analysis

Rationale structure

Field	Type	Description
rationale	string	Explanation of why this product is recommended
citations	array	Source citations for the rationale

Reviews structure

Field	Type	Description
summary	string	Overall summary of the reviews
reviews	array	Array of individual themed reviews

Individual review structure

Field	Type	Description
source	string	Review source (e.g., “Amazon”, “Best Buy”, “Reddit”)
theme	string	Review theme (e.g., “Versatility”, “Ease of Use”)
summary	string	Summary of reviews for this theme
sentiment	string	Overall sentiment: “positive”, “neutral”, or “negative”
cite	string	Citation reference (optional)
rating	number	Rating if available (optional)
num_reviews	number	Number of reviews if available (optional)

Example usage

{
  "prompt": "What are the best microwaves in the UK for 2026?",
  "model": "CHATGPT",
  "country": "GB"
}

Response with inline products:

{
  "success": true,
  "result": {
    "text": "Based on expert reviews and user feedback, here are the top microwaves...",
    "inlineProducts": [
      {
        "product": {
          "id": "14461636969439553799",
          "title": "Sage Combi Wave 3‑in‑1 Microwave",
          "url": "",
          "price": "£359.00",
          "merchants": "John Lewis & Partners + others",
          "image_urls": [
            "https://images.openai.com/thumbnails/url/..."
          ],
          "num_reviews": 640,
          "rating": 4.2,
          "cite": "turn0product2",
          "offers": []
        },
        "render_as": "inline",
        "details": {
          "rationale": {
            "rationale": "The Sage Combi Wave 3 in 1 is ideal for anyone wanting an all-in-one appliance that air-fries, bakes, and microwaves in one compact unit. It's praised for its intuitive controls, even heating, and the ability to replace multiple countertop gadgets, making it perfect for efficient cooking in smaller kitchens.",
            "citations": []
          },
          "reviews": {
            "summary": "Reviewers highlight this combi oven's impressive versatility and performance, noting it replaces several appliances while maintaining consistent cooking quality. Many appreciate its quiet operation, sleek design, and ease of use, though some mention it's bulky or pricey. Overall, it's seen as a high-quality and convenient choice for varied cooking needs.",
            "reviews": [
              {
                "source": "Amazon",
                "theme": "Versatility",
                "summary": "Users consistently note how the Combi Wave 3 in 1 replaces an air fryer, convection oven, and microwave in one appliance. They like being able to cook, crisp, and reheat in the same unit with excellent results.",
                "sentiment": "positive",
                "cite": "turn0search1"
              },
              {
                "source": "Best Buy",
                "theme": "Ease of Use",
                "summary": "Reviewers appreciate the intuitive interface and helpful presets. One user said it was 'easy to figure out even without reading the manual' and that the combination cooking modes work seamlessly.",
                "sentiment": "positive",
                "cite": "turn0product2"
              },
              {
                "source": "Reddit",
                "theme": "Performance and Design",
                "summary": "Several Reddit users compliment its solid build and quiet operation; one u/homecooklife commented, 'It's surprisingly quiet and feels premium. Makes my frozen chips way better than my old air fryer.' Some note it takes up space on the counter.",
                "sentiment": "positive",
                "cite": "turn0search4"
              },
              {
                "source": "Consumer Reports",
                "theme": "Value and Size",
                "summary": "Experts praise its reliability and cooking results but warn it's relatively large and expensive compared to single-function appliances.",
                "sentiment": "neutral",
                "cite": "turn0search3"
              }
            ]
          }
        }
      }
    ]
  }
}

Entities

Entities are structured data objects extracted from ChatGPT responses when specific items, products, or concepts are identified. Entities provide detailed information about individual items mentioned in the response, similar to shopping cards but more general in nature.

Entity structure

Each entity contains:

Field	Type	Description
type	string	Entity type identifier (e.g., “product”, “software”)
name	string	Entity name or title

Example usage

{
  "prompt": "What are the best sneakers under $100?",
  "model": "CHATGPT",
  "country": "US"
}

Response with entities:

{
  "success": true,
  "result": {
    "text": "Here are some great sneaker options under $100...",
    "entities": [
      {
        "type": "product",
        "name": "adidas Grand Court Lo"
      },
      {
        "type": "product",
        "name": "Reebok Club C 85 Vintage"
      },
      {
        "type": "product",
        "name": "Nike Dunk Low Retro SE"
      }
    ]
  }
}

Map

Map entries are automatically extracted when ChatGPT returns business or place information (like local businesses, restaurants, stores, etc.). No additional parameters are required - map entries are included by default when available in the response.

Map entry structure

Each map entry contains:

Field	Type	Description
name	string	Business name
category	string	Primary business category
rating	float	Business rating (0-5 scale)
review_count	integer	Number of reviews
description	string	Business description
directions_url	string	URL to get directions to the business
website_url	string	Business website URL
phone_number	string	Contact phone number
position	integer	Position/ranking in results
citations	object	Reference citations (if any)

Example usage

{
  "prompt": "What are the best coffee shops in San Francisco?",
  "model": "CHATGPT",
  "country": "US"
}

Response with map entries:

{
  "success": true,
  "result": {
    "text": "Here are some highly-rated coffee shops in San Francisco...",
    "map": [
      {
        "name": "Blue Bottle Coffee",
        "category": "Coffee shop",
        "rating": 4.5,
        "review_count": 1234,
        "description": "Specialty coffee roaster known for their meticulous pour-over preparations",
        "directions_url": null,
        "website_url": "https://bluebottlecoffee.com",
        "phone_number": "[phone]",
        "position": 1,
        "citations": null
      },
      {
        "name": "Philz Coffee",
        "category": "Coffee shop",
        "rating": 4.7,
        "review_count": 2156,
        "description": " neighborhood coffee shop famous for their custom-blended coffee",
        "directions_url": null,
        "website_url": "https://philzcoffee.com",
        "phone_number": "[phone]",
        "position": 2,
        "citations": null
      }
    ]
  }
}

Citation pills

Citation pills are inline citations that appear within the text of ChatGPT responses when ChatGPT references specific sources. No additional parameters are required - citation pills are included by default when available in the response.

The markdown field contains these citations as inline markdown links (e.g., [Label](url)), while the text field contains plain text without the links. The citationPills array provides structured metadata about all inline citations.

Citation pill structure

Each citation pill contains:

Field	Type	Description
url	string	The URL of the citation source
label	string	Label/title of the citation
description	string	Description of the citation content
domain	string	Domain of the citation source (e.g., “example.com”)
datePublished	string	ISO 8601 date string of when the source was published
citationPillId	integer	Unique identifier for the citation pill

Example usage

{
  "prompt": "What is the best AI software?",
  "model": "CHATGPT",
  "country": "US"
}

Response with citation pills:

{
  "success": true,
  "result": {
    "text": "**ChatGPT** — Most versatile for writing, reasoning, and general problem-solving.\n**Claude** — Strong focus on safety and ethical reasoning.",
    "markdown": "**ChatGPT** — Most versatile for writing, reasoning, and general problem-solving. [Top 10 Best AI Apps in 2025](https://www.top10.com/best-lists/best-ai-apps)\n**Claude** — Strong focus on safety and ethical reasoning. [Best AI Platforms Compared](https://www.godofprompt.ai/blog/best-ai)",
    "citationPills": [
      {
        "url": "https://www.top10.com/best-lists/best-ai-apps",
        "label": "Top 10 Best AI Apps in 2025",
        "description": "A comprehensive guide to the best AI applications available today",
        "domain": "top10.com",
        "datePublished": "2025-01-15",
        "citationPillId": 0
      },
      {
        "url": "https://www.godofprompt.ai/blog/best-ai",
        "label": "Best AI Platforms Compared",
        "description": "Expert comparison of leading AI platforms and their capabilities",
        "domain": "godofprompt.ai",
        "datePublished": "2025-02-01",
        "citationPillId": 1
      }
    ]
  }
}

Response schema

Includes common response fields plus:

Field	Type	Description
result.rawResponse	array	Array of ChatGPT’s streamed response events (included when include.rawResponse is true)
result.searchQueries	array	Array of search model queries (fan-out queries) ChatGPT used internally to gather information (included when include.searchQueries is true)
result.shoppingCards	array	Array of shopping/product cards extracted from response (when available)
result.inlineProducts	array	Array of inline products with rationale and themed reviews (when available)
result.entities	array	Array of entities extracted from response (when available)
result.map	array	Array of business/place map entries extracted from response (when available)
result.citationPills	array	Array of inline citation pills extracted from response (when available)
result.sources	array	Array of sources referenced in the response. See Sources for ChatGPT-specific fields
result.model	string	The ChatGPT model used to generate the response

Common questions

Can I get the search queries that ChatGPT uses?

Yes, you can get the actual search queries (fan-out queries) that ChatGPT uses internally by setting include.searchQueries: true in your ChatGPT requests.

What percentage of ChatGPT responses include query fan-outs?

Currently, about 60% of ChatGPT responses include query fan-outs. ChatGPT still uses gpt-5-mini that includes fan-out queries, however newer models may not include explicit fan-outs.

ChatGPT automatically selects which model to use for each request, so we cannot control the presence of query fan-outs.

Are query fan-outs available for other providers?

For a complete comparison of query fan-out support across all providers, see the Providers & pricing guide.

Why aren’t shopping cards appearing in my responses?

Shopping cards only appear when the prompt is related to products or shopping:

# ✅ Good - shopping related
"best laptops under $1000"
"compare iPhone vs Samsung"
"top rated headphones 2026"

# ❌ Bad - not shopping related
"what is the capital of France"
"how does photosynthesis work"

Not all shopping queries will return shopping cards - it depends on what ChatGPT finds and how it formats the response.

Which providers support shopping cards?

For a complete comparison of shopping card support across all providers, see the Providers & pricing guide.

What’s the difference between shopping cards and inline products?

Shopping cards are grouped collections of products displayed together (like a carousel):

• Contain multiple products
• Include category tags
• Designed for browsing multiple options

Inline products are individual product references:

• Single product per entry
• Include detailed rationale and themed reviews
• Can be embedded inline in text, comparison tables, or featured displays
• Have rendering hints (inline, hero, block)

Both are automatically extracted when available - no additional parameters needed.

Authorizations

Authorization · string · header · required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json

Request parameters for monitoring ChatGPT responses

prompt · string · required

The prompt to send to ChatGPT

Required string length: 1 - 10000

Example:

"What do you know about Acme Corp?"

country · string · default: US

Country/region code for localized response

Example:

"US"

include · object

Optional flags for including additional response formats

Show child attributes

Example:

{
  "html": true,
  "markdown": true,
  "rawResponse": true,
  "searchQueries": true
}

Response

200

application/json

successful ChatGPT monitoring response

success · boolean · required

Example:

true

result · object · required

ChatGPT's response data

Show child attributes