AdCP — get_products

Discover available advertising products based on campaign requirements using natural language briefs or structured filters. Authentication: Optional (returns limited results without credentials) Response Time: ~60 seconds (AI inference with back-end systems) Request Schema: /schemas/3.0.19/media-buy/get-products-request.json Response Schema: /schemas/3.0.19/media-buy/get-products-response.json

Quick Start

Discover products with a natural language brief:

import { testAgent } from '@adcp/client/testing';
import { GetProductsResponseSchema } from '@adcp/client';

const result = await testAgent.getProducts({
  buying_mode: 'brief',
  brief: 'Premium athletic footwear with innovative cushioning',
  brand: {
    domain: 'acmecorp.com'
  }
});

if (!result.success) {
  throw new Error(`Request failed: ${result.error}`);
}

// Validate response against schema
const validated = GetProductsResponseSchema.parse(result.data);
console.log(`Found ${validated.products.length} products`);

// Access validated product fields
for (const product of validated.products) {
  console.log(`- ${product.name} (${product.delivery_type})`);
  console.log(`  Formats: ${product.format_ids.map(f => f.id).join(', ')}`);
}

import asyncio
from adcp.testing import test_agent

async def discover_products():
    result = await test_agent.simple.get_products(
        buying_mode='brief',
        brief='Premium athletic footwear with innovative cushioning',
        brand={
            'domain': 'acmecorp.com'
        }
    )
    print(f"Found {len(result.products)} products")

asyncio.run(discover_products())

uvx adcp \
  https://test-agent.adcontextprotocol.org/mcp \
  get_products \
  '{"buying_mode":"brief","brief":"Premium athletic footwear with innovative cushioning","brand":{"domain":"acmecorp.com"}}' \
  --auth $ADCP_AUTH_TOKEN

Using Structured Filters

You can also use structured filters instead of (or in addition to) a brief. In brief mode, filters act as hard constraints on top of the publisher’s curation — the brief describes intent, filters enforce requirements:

import { testAgent } from '@adcp/client/testing';

const result = await testAgent.getProducts({
  buying_mode: 'wholesale',
  brand: {
    domain: 'acmecorp.com'
  },
  filters: {
    channels: ['ctv'],
    delivery_type: 'guaranteed',
    standard_formats_only: true
  }
});

if (result.success && result.data) {
  console.log(`Found ${result.data.products.length} guaranteed CTV products`);
}

import asyncio
from adcp.testing import test_agent

async def discover_with_filters():
    result = await test_agent.simple.get_products(
        buying_mode='wholesale',
        brand={
            'domain': 'acmecorp.com'
        },
        filters={
            'channels': ['ctv'],
            'delivery_type': 'guaranteed',
            'standard_formats_only': True
        }
    )
    print(f"Found {len(result.products)} guaranteed CTV products")

asyncio.run(discover_with_filters())

Request Parameters

Parameter	Type	Required	Description
`buying_mode`	string	Yes	`"brief"`, `"wholesale"`, or `"refine"`. `"brief"`: publisher curates products from the brief. `"wholesale"`: raw inventory for buyer-directed targeting, `brief` must not be provided. `"refine"`: iterate on products and proposals from a previous response using the `refine` array of change requests. v3 clients MUST include `buying_mode`. Sellers receiving requests from pre-v3 clients without `buying_mode` SHOULD default to `"brief"`.
`brief`	string	Conditional	Natural language description of campaign requirements. Required when `buying_mode` is `"brief"`. Must not be provided when `buying_mode` is `"wholesale"` or `"refine"`.
`refine`	Refine[]	Conditional	Array of change requests for iterating on products and proposals. Required when `buying_mode` is `"refine"`. Must not be provided when `buying_mode` is `"brief"` or `"wholesale"`. See Refine array below.
`brand`	BrandRef	No	Brand reference (domain + optional brand_id). Resolved to full identity at execution time.
`account`	AccountRef	No	Account reference for account-specific pricing. Returns products with pricing from this account’s rate card.
`catalog`	Catalog	No	Catalog of items the buyer wants to promote. The seller matches catalog items against its inventory and returns products where matches exist. Requires `brand`. See Catalog discovery below.
`filters`	Filters	No	Structured filters (see below)
`property_list`	PropertyListRef	No	[AdCP 3.0] Reference to a property list for filtering. See Property Lists
`pagination`	PaginationRequest	No	Cursor-based pagination for large product catalogs (see below)
`time_budget`	Duration	No	Maximum time the buyer will commit to this request. The seller returns the best results achievable within this budget and does not start processes (human approvals, expensive external queries) that cannot complete in time. When omitted, the seller decides timing. Example: `{"interval": 30, "unit": "seconds"}`.

Property GovernanceThe property_list filter references a property list created via create_property_list on a property governance agent. Property lists define which publisher properties meet compliance requirements — COPPA-certified sites, sustainability-scored inventory, brand-safe publishers, etc.To use property list filtering:

Call get_adcp_capabilities on a property governance agent to discover available property_features
Create a property list via create_property_list with your feature requirements
Pass the resulting property_list_id to get_products to filter inventory

The seller must declare features.property_list_filtering: true in get_adcp_capabilities to support this filter. See the Property Governance overview for the full workflow.

Filters Object

Parameter	Type	Description
`delivery_type`	string	Filter by `"guaranteed"` or `"non_guaranteed"`
`is_fixed_price`	boolean	Filter for fixed price vs auction products
`format_ids`	FormatID[]	Filter by specific format IDs
`standard_formats_only`	boolean	Only return products accepting IAB standard formats
`min_exposures`	integer	Minimum exposures needed for measurement validity
`start_date`	string	Campaign start date in ISO 8601 format (YYYY-MM-DD) for availability checks
`end_date`	string	Campaign end date in ISO 8601 format (YYYY-MM-DD) for availability checks
`budget_range`	object	Budget range to filter appropriate products (see Budget Range Object below)
`countries`	string[]	Filter by target countries using ISO 3166-1 alpha-2 codes (e.g., `["US", "CA", "GB"]`)
`regions`	string[]	Filter by region coverage using ISO 3166-2 codes (e.g., `["US-NY", "GB-SCT"]`). Best for locally-bound inventory
`metros`	object[]	Filter by metro coverage. Each entry: `{ system, code }` (e.g., `[{ "system": "nielsen_dma", "code": "501" }]`)
`channels`	string[]	Filter by advertising channels (e.g., `["display", "ctv", "social", "streaming_audio"]`). See Media Channel Taxonomy
`postal_areas`	object[]	Filter by postal area coverage. Each entry: `{ system, values }` (e.g., `[{ "system": "us_zip", "values": ["10001"] }]`)
`geo_proximity`	object[]	Filter by proximity to geographic points. Each entry uses exactly one boundary method: `radius`, `travel_time` + `transport_mode`, or `geometry`
`keywords`	object[]	Filter by keyword relevance for search/retail media. Each entry: `{ keyword, match_type? }`. `match_type` defaults to `broad` if omitted
`required_performance_standards`	PerformanceStandard[]	Filter to products that can meet the buyer’s performance standard requirements. Each entry specifies a metric, threshold, and vendor (e.g., “DoubleVerify for viewability at 70% MRC”). Products that cannot meet these thresholds or do not support the specified vendors are excluded.

Budget Range Object

Parameter	Type	Required	Description
`currency`	string	Yes	ISO 4217 currency code (e.g., `"USD"`, `"EUR"`, `"GBP"`)
`min`	number	No*	Minimum budget amount
`max`	number	No*	Maximum budget amount

*At least one of min or max must be specified.

Refine array

The refine array is a list of change requests. Each entry declares a scope and what the buyer is asking for. At least one entry is required. The seller considers all entries together when composing the response, and replies to each via refinement_applied. Each entry is a discriminated union on scope:

scope: “request”

Field	Type	Required	Description
`scope`	string	Yes	`"request"`
`ask`	string	Yes	Direction for the selection as a whole (e.g., `"more video options"`, `"suggest how to combine these products"`).

scope: “product”

Field	Type	Required	Description
`scope`	string	Yes	`"product"`
`product_id`	string	Yes	Product ID from a previous `get_products` response
`action`	string	No	`"include"` (default): return this product with updated pricing and data. `"omit"`: exclude from the response. `"more_like_this"`: find similar products (the original is also returned). When omitted, the seller treats the entry as `"include"`.
`ask`	string	No	What the buyer is asking for. For `"include"`: specific changes (e.g., `"add 16:9 format"`). For `"more_like_this"`: what “similar” means (e.g., `"same audience but video format"`). Ignored when `action` is `"omit"`.

scope: “proposal”

Field	Type	Required	Description
`scope`	string	Yes	`"proposal"`
`proposal_id`	string	Yes	Proposal ID from a previous `get_products` response
`action`	string	No	`"include"` (default): return with updated allocations and pricing. `"omit"`: exclude from the response. `"finalize"`: request firm pricing and inventory hold (transitions a draft proposal to committed). When omitted, the seller treats the entry as `"include"`.
`ask`	string	No	What the buyer is asking for (e.g., `"shift more budget toward video"`, `"reduce total by 10%"`). Ignored when `action` is `"omit"`.

refinement_applied (response)

When the seller receives a refine array, the response includes refinement_applied — an array matched by position. Each entry reports whether the ask was fulfilled:

Field	Type	Required	Description
`scope`	string	Yes	Echoes the scope (`"request"` / `"product"` / `"proposal"`) from the corresponding `refine` entry.
`product_id`	string	Yes when `scope` is `"product"`	Echoes `product_id` from the corresponding refine entry.
`proposal_id`	string	Yes when `scope` is `"proposal"`	Echoes `proposal_id` from the corresponding refine entry.
`status`	string	Yes	`"applied"`: ask fulfilled. `"partial"`: partially fulfilled. `"unable"`: could not fulfill.
`notes`	string	No	Seller explanation. Recommended when status is `"partial"` or `"unable"`.

Catalog discovery

Pass a catalog to find advertising products that can promote your catalog items. The seller matches your catalog items against its inventory and returns products where matches exist. Supports all catalog types — a product catalog finds sponsored product slots, a job catalog finds job ad products, a flight catalog finds dynamic travel ads. The catalog field uses the same Catalog object used throughout AdCP. You can reference a synced catalog by catalog_id, provide inline items, or use selectors to filter:

Field	Type	Description
`type`	CatalogType	Catalog type (required) — `product`, `job`, `hotel`, `flight`, `offering`, etc.
`catalog_id`	string	Reference a synced catalog by ID
`ids`	string[]	Filter to specific item IDs
`gtins`	string[]	Filter by GTIN for cross-retailer matching (product type only)
`tags`	string[]	Filter by tags (OR logic)
`category`	string	Filter by category
`query`	string	Natural language filter

Products in the response include catalog_types (what catalog types they support) and catalog_match (which items matched).

Response

Returns an array of products and optionally proposals.

Products Array

Field	Type	Description
`product_id`	string	Unique product identifier
`name`	string	Human-readable product name
`description`	string	Detailed product description
`publisher_properties`	PublisherProperty[]	Array of publisher entries, each with `publisher_domain` and either `property_ids` or `property_tags`
`format_ids`	FormatID[]	Supported creative format IDs
`delivery_type`	string	`"guaranteed"` or `"non_guaranteed"`
`delivery_measurement`	DeliveryMeasurement	(Optional) How delivery is measured (impressions, views, etc.)
`pricing_options`	PricingOption[]	Available pricing models (CPM, CPCV, etc.). Auction options may include `floor_price` and optional `price_guidance`. Bid-based auction models (CPM, vCPM, CPC, CPCV, CPV) may also include optional `max_bid` (boolean).
`shows`	CollectionSelector[]	(Optional) Collections available in this product. Each entry has `publisher_domain` and `collection_ids`. Buyers resolve full collection objects from the referenced `adagents.json`. See Collections and installments.
`collection_targeting_allowed`	boolean	(Optional, default: false) Whether buyers can target a subset of this product’s shows. When false, the product is a bundle.
`brief_relevance`	string	Why this product matches the brief (when brief provided)
`measurement_readiness`	MeasurementReadiness	(Optional) Whether the buyer’s event setup is sufficient for this product’s optimization. Only present when the seller can evaluate the buyer’s account context.
`measurement_terms`	MeasurementTerms	(Optional) Seller’s default billing measurement and makegood terms. Buyers may propose different terms at `create_media_buy`.
`performance_standards`	PerformanceStandard[]	(Optional) Seller’s default performance standards (viewability, IVT, completion rate, brand safety, attention score). Buyers may propose different standards at `create_media_buy`.
`cancellation_policy`	CancellationPolicy	(Optional) Cancellation notice period and penalties for guaranteed products. Buyers accept these terms by creating a media buy against the product.

Proposals Array (Optional)

Publishers may return proposals alongside products - structured media plans with budget allocations. See Proposals for details.

Field	Type	Description
`proposal_id`	string	Unique identifier for executing this proposal via `create_media_buy`
`name`	string	Human-readable name for the media plan
`allocations`	ProductAllocation[]	Budget allocations across products (percentages must sum to 100). Each allocation may include optional `start_time` and `end_time` for per-flight scheduling.
`forecast`	DeliveryForecast	Aggregate delivery forecast for the proposal. Contains forecast points with metric ranges. See Delivery Forecasts
`total_budget_guidance`	object	Optional min/recommended/max budget guidance
`brief_alignment`	string	How this proposal addresses the campaign brief
`expires_at`	string	ISO 8601 timestamp when this proposal expires

Pagination

For large product catalogs, use cursor-based pagination:

Request Parameter	Type	Description
`pagination.max_results`	integer	Maximum products per page (1-100, default: 50)
`pagination.cursor`	string	Cursor from previous response for next page

Response Field	Type	Description
`pagination.has_more`	boolean	Whether more products are available
`pagination.cursor`	string	Cursor to pass for the next page
`pagination.total_count`	integer	Total matching products (optional, not all backends support this)

Pagination is optional. When omitted, the server returns all results (or a server-chosen default page). When the response includes pagination.has_more: true, pass pagination.cursor in the next request to get the next page.

Response Metadata

Field	Type	Description
`property_list_applied`	boolean	[AdCP 3.0] `true` if the agent filtered products based on the provided `property_list`. Absent or `false` if not provided or not supported.
`catalog_applied`	boolean	`true` if the seller filtered results based on the provided `catalog`. Absent or `false` if no catalog was provided or the seller does not support catalog matching.
`refinement_applied`	RefinementResult[]	Seller acknowledgment of each `refine` entry, matched by position. Only present when `buying_mode` is `"refine"`. See refinement_applied above.
`incomplete`	IncompleteEntry[]	Declares what the seller could not finish within the `time_budget` or due to internal limits. Each entry identifies a scope with a human-readable explanation. Absent when the response is fully complete. See incomplete array below.

incomplete array

When the seller cannot complete all work within the time_budget (or due to its own internal limits), the response includes incomplete — an array declaring what is missing. Buyers can use estimated_wait to decide whether to retry with a larger budget.

Field	Type	Required	Description
`scope`	string	Yes	`"products"`: not all inventory sources were searched. `"pricing"`: products returned but pricing is absent or unconfirmed. `"forecast"`: products returned but forecast data is absent. `"proposals"`: proposals were not generated or are incomplete.
`description`	string	Yes	Human-readable explanation of what is missing and why.
`estimated_wait`	Duration	No	How much additional time would resolve this scope.

See schema for complete field list: get-products-response.json

Common Scenarios

Time-budgeted discovery

Declare a time budget when you need fast results and can accept partial data. The seller returns what it can within the budget and declares what is incomplete:

import { testAgent } from '@adcp/client/testing';

const result = await testAgent.getProducts({
  buying_mode: 'brief',
  brief: 'CTV and display for brand awareness',
  brand: {
    domain: 'acmecorp.com'
  },
  time_budget: {
    interval: 10,
    unit: 'seconds'
  }
});

if (result.success && result.data) {
  console.log(`Found ${result.data.products.length} products`);

  if (result.data.incomplete) {
    for (const entry of result.data.incomplete) {
      console.log(`Incomplete: ${entry.scope} — ${entry.description}`);
      if (entry.estimated_wait) {
        console.log(`  Would resolve in ${entry.estimated_wait.interval} ${entry.estimated_wait.unit}`);
      }
    }
  }
}

import asyncio
from adcp.testing import test_agent

async def discover_with_time_budget():
    result = await test_agent.simple.get_products(
        buying_mode='brief',
        brief='CTV and display for brand awareness',
        brand={
            'domain': 'acmecorp.com'
        },
        time_budget={
            'interval': 10,
            'unit': 'seconds'
        }
    )
    print(f"Found {len(result.products)} products")

    for entry in result.get('incomplete', []):
        print(f"Incomplete: {entry['scope']} — {entry['description']}")
        if 'estimated_wait' in entry:
            wait = entry['estimated_wait']
            print(f"  Would resolve in {wait['interval']} {wait['unit']}")

asyncio.run(discover_with_time_budget())

A response with incomplete data — products are returned but some scopes are missing:

test=false

{
  "products": [
    {
      "product_id": "prog-display-ros",
      "name": "Programmatic Display — Run of Site",
      "delivery_type": "non_guaranteed",
      "pricing_options": [{ "pricing_option_id": "cpm-ros", "pricing_model": "cpm", "currency": "USD", "fixed_price": 12.00 }]
    }
  ],
  "incomplete": [
    {
      "scope": "products",
      "description": "Premium inventory not searched — requires publisher approval",
      "estimated_wait": { "interval": 60, "unit": "minutes" }
    },
    {
      "scope": "forecast",
      "description": "Forecast model did not complete within budget",
      "estimated_wait": { "interval": 45, "unit": "seconds" }
    }
  ]
}

Standard Catalog Discovery

import { testAgent } from '@adcp/client/testing';

// wholesale mode: buyer applies their own audiences, no publisher curation
const result = await testAgent.getProducts({
  buying_mode: 'wholesale',
  brand: {
    domain: 'acmecorp.com'
  },
  filters: {
    delivery_type: 'non_guaranteed'
  }
});

if (result.success && result.data) {
  console.log(`Found ${result.data.products.length} standard catalog products`);
}

import asyncio
from adcp.testing import test_agent

async def discover_standard_catalog():
    # wholesale mode: buyer applies their own audiences, no publisher curation
    result = await test_agent.simple.get_products(
        buying_mode='wholesale',
        brand={
            'domain': 'acmecorp.com'
        },
        filters={
            'delivery_type': 'non_guaranteed'
        }
    )
    print(f"Found {len(result.products)} standard catalog products")

asyncio.run(discover_standard_catalog())

Multi-Format Discovery

import { testAgent } from '@adcp/client/testing';

// Find products supporting both video and display
const result = await testAgent.getProducts({
  buying_mode: 'brief',
  brief: 'Brand awareness campaign with video and display',
  brand: {
    domain: 'acmecorp.com'
  },
  filters: {
    channels: ['display', 'ctv']
  }
});

if (result.success && result.data) {
  console.log(`Found ${result.data.products.length} products supporting video and display`);
}

import asyncio
from adcp.testing import test_agent

async def discover_multi_format():
    # Find products supporting both video and display
    result = await test_agent.simple.get_products(
        buying_mode='brief',
        brief='Brand awareness campaign with video and display',
        brand={
            'domain': 'acmecorp.com'
        },
        filters={
            'channels': ['display', 'ctv']
        }
    )
    print(f"Found {len(result.products)} products supporting video and display")

asyncio.run(discover_multi_format())

Budget and Date Filtering

import { testAgent } from '@adcp/client/testing';

// Find products within budget and date range for specific countries and channels
const result = await testAgent.getProducts({
  buying_mode: 'brief',
  brief: 'Q2 campaign for athletic footwear in North America',
  brand: {
    domain: 'acmecorp.com'
  },
  filters: {
    start_date: '2025-04-01',
    end_date: '2025-06-30',
    budget_range: {
      min: 50000,
      max: 100000,
      currency: 'USD'
    },
    countries: ['US', 'CA'],
    channels: ['display', 'ctv', 'podcast'],
    delivery_type: 'guaranteed'
  }
});

if (result.success && result.data) {
  console.log(`Found ${result.data.products.length} products for Q2 within budget`);
}

import asyncio
from adcp.testing import test_agent

async def discover_with_budget_and_dates():
    # Find products within budget and date range for specific countries and channels
    result = await test_agent.simple.get_products(
        buying_mode='brief',
        brief='Q2 campaign for athletic footwear in North America',
        brand={
            'domain': 'acmecorp.com'
        },
        filters={
            'start_date': '2025-04-01',
            'end_date': '2025-06-30',
            'budget_range': {
                'min': 50000,
                'max': 100000,
                'currency': 'USD'
            },
            'countries': ['US', 'CA'],
            'channels': ['display', 'ctv', 'podcast'],
            'delivery_type': 'guaranteed'
        }
    )
    print(f"Found {len(result.products)} products for Q2 within budget")

asyncio.run(discover_with_budget_and_dates())

Property Tag Resolution

import { testAgent } from '@adcp/client/testing';

// Get products with property tags
const result = await testAgent.getProducts({
  buying_mode: 'brief',
  brief: 'Sports content',
  brand: {
    domain: 'acmecorp.com'
  }
});

if (result.success && result.data) {
  // Products with property_tags in publisher_properties represent large networks
  // Use get_adcp_capabilities to discover the agent's portfolio
  const productsWithTags = result.data.products.filter(p =>
    p.publisher_properties?.some(pub => pub.property_tags && pub.property_tags.length > 0)
  );
  console.log(`${productsWithTags.length} products use property tags (large networks)`);
}

import asyncio
from adcp.testing import test_agent

async def discover_property_tags():
    # Get products with property tags
    result = await test_agent.simple.get_products(
        buying_mode='brief',
        brief='Sports content',
        brand={
            'domain': 'acmecorp.com'
        }
    )

    # Products with property_tags in publisher_properties represent large networks
    # Use get_adcp_capabilities to discover the agent's portfolio
    products_with_tags = [p for p in result.products
        if any(pub.get('property_tags') for pub in p.get('publisher_properties', []))]
    print(f"{len(products_with_tags)} products use property tags (large networks)")

asyncio.run(discover_property_tags())

Guaranteed Delivery Products

import { testAgent } from '@adcp/client/testing';

// Find guaranteed delivery products for measurement
const result = await testAgent.getProducts({
  buying_mode: 'brief',
  brief: 'Guaranteed delivery for lift study',
  brand: {
    domain: 'acmecorp.com'
  },
  filters: {
    delivery_type: 'guaranteed',
    min_exposures: 100000
  }
});

if (result.success && result.data) {
  console.log(`Found ${result.data.products.length} guaranteed products with 100k+ exposures`);
}

import asyncio
from adcp.testing import test_agent

async def discover_guaranteed():
    # Find guaranteed delivery products for measurement
    result = await test_agent.simple.get_products(
        buying_mode='brief',
        brief='Guaranteed delivery for lift study',
        brand={
            'domain': 'acmecorp.com'
        },
        filters={
            'delivery_type': 'guaranteed',
            'min_exposures': 100000
        }
    )
    print(f"Found {len(result.products)} guaranteed products with 100k+ exposures")

asyncio.run(discover_guaranteed())

Standard Formats Only

import { testAgent } from '@adcp/client/testing';

// Find products that only accept IAB standard formats
const result = await testAgent.getProducts({
  buying_mode: 'wholesale',
  brand: {
    domain: 'acmecorp.com'
  },
  filters: {
    standard_formats_only: true
  }
});

if (result.success && result.data) {
  console.log(`Found ${result.data.products.length} products with standard formats only`);
}

import asyncio
from adcp.testing import test_agent

async def discover_standard_formats():
    # Find products that only accept IAB standard formats
    result = await test_agent.simple.get_products(
        buying_mode='wholesale',
        brand={
            'domain': 'acmecorp.com'
        },
        filters={
            'standard_formats_only': True
        }
    )
    print(f"Found {len(result.products)} products with standard formats only")

asyncio.run(discover_standard_formats())

Catalog-driven discovery

Use catalog with a brand to discover advertising products that can promote your catalog items. The seller matches your items against its inventory and returns products where matches exist:

import { testAgent } from '@adcp/client/testing';

// Discover retail media products for specific catalog items
const result = await testAgent.getProducts({
  buying_mode: 'wholesale',
  brand: {
    domain: 'acmecorp.com'
  },
  catalog: {
    type: 'product',
    tags: ['ketchup', 'organic'],
    category: 'food/condiments'
  },
  filters: {
    channels: ['retail_media']
  }
});

if (result.success && result.data) {
  if (result.data.catalog_applied) {
    console.log(`Found ${result.data.products.length} products with catalog matches`);
  } else {
    console.log('Seller does not support catalog matching');
  }
}

import asyncio
from adcp.testing import test_agent

async def discover_commerce_products():
    # Discover retail media products for specific catalog items
    result = await test_agent.simple.get_products(
        buying_mode='wholesale',
        brand={
            'domain': 'acmecorp.com'
        },
        catalog={
            'type': 'product',
            'tags': ['ketchup', 'organic'],
            'category': 'food/condiments'
        },
        filters={
            'channels': ['retail_media']
        }
    )
    if result.get('catalog_applied'):
        print(f"Found {len(result.products)} products with catalog matches")
    else:
        print("Seller does not support catalog matching")

asyncio.run(discover_commerce_products())

uvx adcp \
  https://test-agent.adcontextprotocol.org/mcp \
  get_products \
  '{"buying_mode":"wholesale","brand":{"domain":"acmecorp.com"},"catalog":{"type":"product","tags":["ketchup","organic"],"category":"food/condiments"},"filters":{"channels":["retail_media"]}}' \
  --auth $ADCP_AUTH_TOKEN

You can also use GTIN matching, reference a synced catalog, or discover products for other catalog types:

{
  "catalog": {
    "type": "product",
    "gtins": ["00013000006040", "00013000006057"]
  }
}

{
  "catalog": {
    "catalog_id": "gmc-primary",
    "type": "product"
  }
}

{
  "catalog": {
    "type": "job",
    "catalog_id": "chef-vacancies"
  }
}

Property List Filtering

AdCP 3.0 - Property list filtering requires governance agent support.

Filter products to only those available on properties in your approved list:

import { testAgent } from '@adcp/client/testing';

// Filter products by property list from governance agent
const result = await testAgent.getProducts({
  buying_mode: 'brief',
  brief: 'Brand-safe inventory for family brand',
  brand: {
    domain: 'acmecorp.com'
  },
  property_list: {
    agent_url: 'https://governance.example.com',
    list_id: 'pl_brand_safe_2024'
  }
});

if (result.success && result.data) {
  // Check if filtering was actually applied
  if (result.data.property_list_applied) {
    console.log(`Found ${result.data.products.length} products on approved properties`);
  } else {
    console.log('Agent does not support property list filtering');
    console.log(`Found ${result.data.products.length} products (unfiltered)`);
  }
}

import asyncio
from adcp.testing import test_agent

async def discover_with_property_list():
    # Filter products by property list from governance agent
    result = await test_agent.simple.get_products(
        buying_mode='brief',
        brief='Brand-safe inventory for family brand',
        brand={
            'domain': 'acmecorp.com'
        },
        property_list={
            'agent_url': 'https://governance.example.com',
            'list_id': 'pl_brand_safe_2024'
        }
    )

    # Check if filtering was actually applied
    if result.get('property_list_applied'):
        print(f"Found {len(result['products'])} products on approved properties")
    else:
        print("Agent does not support property list filtering")
        print(f"Found {len(result['products'])} products (unfiltered)")

asyncio.run(discover_with_property_list())

Note: If property_list_applied is absent or false, the sales agent did not filter products. This can happen if:

The agent doesn’t support property governance features
The agent couldn’t access the property list
The property list had no effect on the available inventory

Property Targeting Behavior

Products have a property_targeting_allowed flag that affects filtering:

property_targeting_allowed: false (default): Product is “all or nothing” - excluded unless your list contains all of its properties
property_targeting_allowed: true: Product is included if there’s any intersection between its properties and your list

This allows publishers to offer run-of-network products that can’t be cherry-picked alongside flexible inventory that buyers can filter. See Property Targeting for more details and Property Governance for more on property lists. After initial discovery, use buying_mode: "refine" to iterate on specific products and proposals. The refine array is a list of change requests — each entry declares a scope and what the buyer is asking for. The seller returns updated products with revised pricing and configurations, plus refinement_applied acknowledging each ask. See the Refinement guide for the full walkthrough: scope types, action semantics, seller responses, and common patterns. The parameter shape is defined in the Refine array section above. Minimal example:

test=false

{
  "buying_mode": "refine",
  "refine": [
    { "scope": "request",                                             "ask": "more video, less display" },
    { "scope": "product",  "product_id":  "prod_premium_video",       "ask": "add 16:9 format option" },
    { "scope": "product",  "product_id":  "prod_display_run_of_site", "action": "omit" },
    { "scope": "proposal", "proposal_id": "prop_awareness_q2",        "ask": "reallocate display budget to video" }
  ],
  "filters": {
    "start_date": "2026-04-01",
    "end_date": "2026-04-30",
    "budget_range": { "min": 200000, "max": 200000, "currency": "USD" }
  }
}

Key rules to know before sending:

refine is only valid in refine mode. Requests that include this field in brief or wholesale mode are rejected with INVALID_REQUEST.
Filters are absolute, not deltas. Always send the full filter set you want applied.
Proposals are ephemeral. Proposals typically include an expires_at timestamp. After expiration, the seller returns PROPOSAL_EXPIRED.
Product IDs are stable catalog identifiers. Custom products (is_custom: true) may have an expires_at timestamp, after which refinement returns PRODUCT_NOT_FOUND.

Error Handling

Error Code	Description	Resolution
`AUTH_REQUIRED`	Authentication needed for full catalog	Provide credentials via auth header
`INVALID_REQUEST`	Brief too long or malformed filters	Check request parameters
`PRODUCT_NOT_FOUND`	One or more referenced product IDs are unknown or expired	Remove invalid IDs and retry, or re-discover with a `brief` request
`PROPOSAL_EXPIRED`	A referenced proposal ID has passed its `expires_at` timestamp	Re-discover with a new `brief` or `wholesale` request
`POLICY_VIOLATION`	Category blocked for advertiser	See policy response message for details

Authentication Comparison

See the difference between authenticated and unauthenticated access:

import { testAgent, testAgentNoAuth } from '@adcp/client/testing';

// WITH authentication - full catalog with pricing
const fullCatalog = await testAgent.getProducts({
  buying_mode: 'brief',
  brief: 'Premium CTV inventory for brand awareness',
  brand: {
    domain: 'acmecorp.com'
  }
});

if (!fullCatalog.success) {
  throw new Error(`Failed to get products: ${fullCatalog.error}`);
}

console.log(`With auth: ${fullCatalog.data.products.length} products`);
console.log(`First product pricing: ${fullCatalog.data.products[0].pricing_options.length} options`);

// WITHOUT authentication - limited public catalog
const publicCatalog = await testAgentNoAuth.getProducts({
  buying_mode: 'brief',
  brief: 'Premium CTV inventory for brand awareness',
  brand: {
    domain: 'acmecorp.com'
  }
});

if (!publicCatalog.success) {
  throw new Error(`Failed to get products: ${publicCatalog.error}`);
}

console.log(`Without auth: ${publicCatalog.data.products.length} products`);
console.log(`First product pricing: ${publicCatalog.data.products[0].pricing_options?.length || 0} options`);

import asyncio
from adcp.testing import test_agent, test_agent_no_auth

async def compare_auth():
    # WITH authentication - full catalog with pricing
    full_catalog = await test_agent.simple.get_products(
        buying_mode='brief',
        brief='Premium CTV inventory for brand awareness',
        brand={
            'domain': 'acmecorp.com'
        }
    )

    print(f"With auth: {len(full_catalog['products'])} products")
    print(f"First product pricing: {len(full_catalog['products'][0]['pricing_options'])} options")

    # WITHOUT authentication - limited public catalog
    public_catalog = await test_agent_no_auth.simple.get_products(
        buying_mode='brief',
        brief='Premium CTV inventory for brand awareness',
        brand={
            'domain': 'acmecorp.com'
        }
    )

    print(f"Without auth: {len(public_catalog['products'])} products")
    print(f"First product pricing: {len(public_catalog['products'][0].get('pricing_options', []))} options")

asyncio.run(compare_auth())

Key Differences:

Product Count: Authenticated access returns more products, including private/custom offerings
Pricing Information: Only authenticated requests receive detailed pricing options (CPM, CPCV, etc.)
Targeting Details: Custom targeting capabilities may be restricted to authenticated users
Rate Limits: Unauthenticated requests have lower rate limits

Authentication Behavior

Without credentials: Returns limited catalog (standard catalog products), no pricing, no custom offerings
With credentials: Returns complete catalog with pricing and custom products

See Authentication Guide for details.

Asynchronous Operations

Most product searches complete immediately, but some scenarios require asynchronous processing. When this happens, you’ll receive a status other than completed and can track progress through webhooks or polling.

When Search Runs Asynchronously

Product search may require async processing in these situations:

Complex searches: Searching across multiple inventory sources or custom curation
Needs clarification: Your brief is vague and the system needs more information
Custom products: Bespoke product packages that require human review

Async Status Flow

Immediate Completion (Most Common)

POST /api/mcp/call_tool

{
  "name": "get_products",
  "arguments": {
    "buying_mode": "brief",
    "brief": "CTV inventory for sports audience",
    "brand": { "domain": "acmecorp.com" }
  }
}

Response (200 OK):
{
  "status": "completed",
  "message": "Found 3 products matching your requirements",
  "products": [...]
}

Needs Clarification

When the brief is unclear, the system asks for more details:

Response (200 OK):
{
  "status": "input-required",
  "message": "I need a bit more information. What's your budget range and campaign duration?",
  "task_id": "task_789",
  "context_id": "ctx_123",
  "reason": "CLARIFICATION_NEEDED",
  "partial_results": [],
  "suggestions": ["$50K-$100K", "1 month", "Q1 2024"]
}

Continue the conversation with the same context_id:

POST /api/mcp/continue

{
  "context_id": "ctx_123",
  "message": "Budget is $75K for a 3-week campaign in March"
}

Response (200 OK):
{
  "status": "completed",
  "message": "Perfect! Found 5 products within your budget",
  "products": [...]
}

Complex Search (With Webhook)

For searches requiring deep inventory analysis, configure a webhook:

POST /api/mcp/call_tool

{
  "name": "get_products",
  "arguments": {
    "buying_mode": "brief",
    "brief": "Premium inventory across all formats for luxury automotive brand",
    "brand": { "domain": "acmecorp.com" },
    "pushNotificationConfig": {
      "url": "https://buyer.com/webhooks/adcp/get_products",
      "authentication": {
        "schemes": ["Bearer"],
        "credentials": "secret_token_32_chars"
      }
    }
  }
}

Response (200 OK):
{
  "status": "working",
  "message": "Searching premium inventory across display, video, and audio",
  "task_id": "task_456",
  "context_id": "ctx_123",
  "percentage": 10,
  "current_step": "searching_inventory"
}

// Later, webhook POST to https://buyer.com/webhooks/adcp/get_products
{
  "task_id": "task_456",
  "task_type": "get_products",
  "status": "completed",
  "timestamp": "2025-01-22T10:30:00Z",
  "message": "Found 12 premium products across all formats",
  "result": {
    "products": [...]
  }
}

Immediate Completion (Most Common)

POST /api/a2a

{
  "message": {
    "role": "user",
    "parts": [{
      "kind": "data",
      "data": {
        "skill": "get_products",
        "parameters": {
          "buying_mode": "brief",
          "brief": "CTV inventory for sports audience",
          "brand": { "domain": "acmecorp.com" }
        }
      }
    }]
  }
}

Response (200 OK):
{
  "id": "task_123",
  "contextId": "ctx_456",
  "artifact": {
    "kind": "data",
    "data": {
      "products": [...]
    }
  },
  "status": {
    "state": "completed",
    "message": {
      "role": "agent",
      "parts": [{ "text": "Found 3 products matching your requirements" }]
    }
  }
}

Needs Clarification

Real-time updates via SSE when clarification is needed:

// Initial response
{
  "id": "task_789",
  "contextId": "ctx_123",
  "status": {
    "state": "input-required",
    "message": {
      "role": "agent",
      "parts": [
        { "text": "I need a bit more information. What's your budget range and campaign duration?" },
        {
          "data": {
            "reason": "CLARIFICATION_NEEDED",
            "suggestions": ["$50K-$100K", "1 month", "Q1 2024"]
          }
        }
      ]
    }
  }
}

// Send follow-up
POST /api/a2a

{
  "contextId": "ctx_123",
  "message": {
    "role": "user",
    "parts": [{ "text": "Budget is $75K for a 3-week campaign in March" }]
  }
}

// SSE update: task completed
{
  "id": "task_789",
  "contextId": "ctx_123",
  "artifact": {
    "kind": "data",
    "data": { "products": [...] }
  },
  "status": {
    "state": "completed",
    "message": {
      "role": "agent",
      "parts": [{ "text": "Perfect! Found 5 products within your budget" }]
    }
  }
}

Complex Search (With Webhook)

Configure push notifications for long searches:

POST /api/a2a

{
  "message": {
    "role": "user",
    "parts": [{
      "kind": "data",
      "data": {
        "skill": "get_products",
        "parameters": {
          "buying_mode": "brief",
          "brief": "Premium inventory across all formats for luxury automotive brand",
          "brand": { "domain": "acmecorp.com" }
        }
      }
    }]
  },
  "pushNotificationConfig": {
    "url": "https://buyer.com/webhooks/a2a/get_products",
    "authentication": {
      "schemes": ["bearer"],
      "credentials": "secret_token_32_chars"
    }
  }
}

Response (200 OK):
{
  "id": "task_456",
  "contextId": "ctx_789",
  "status": {
    "state": "working",
    "message": {
      "role": "agent",
      "parts": [
        { "text": "Searching premium inventory across display, video, and audio" },
        {
          "data": {
            "percentage": 10,
            "current_step": "searching_inventory"
          }
        }
      ]
    }
  }
}

// Later, webhook POST to https://buyer.com/webhooks/a2a/get_products
{
  "id": "task_456",
  "contextId": "ctx_789",
  "artifact": {
    "kind": "data",
    "data": {
      "products": [...]
    }
  },
  "status": {
    "state": "completed",
    "message": {
      "role": "agent",
      "parts": [
        { "text": "Found 12 premium products across all formats" },
        {
          "data": {
            "products": [...]
          }
        }
      ]
    },
    "timestamp": "2025-01-22T10:30:00Z"
  }
}

Status Overview

Status	When It Happens	What You Do
`completed`	Search finished successfully	Process the product results
`input-required`	Need clarification on the brief	Answer the question and continue
`working`	Searching across multiple sources	Wait for webhook or poll for updates
`submitted`	Custom curation queued	Wait for webhook notification
`failed`	Search couldn’t complete	Check error message, adjust brief

Note: For the complete status list see Task Lifecycle. Most searches complete immediately. Async processing is only needed for complex scenarios or when the system needs your input.

Next Steps

After discovering products:

Review Options: Compare products, pricing, and targeting capabilities
Create Media Buy: Use create_media_buy to execute campaign
Prepare Creatives: Use list_creative_formats to see format requirements
Upload Assets: Use sync_creatives to provide creative assets

Learn More

Product Discovery Guide - Understanding briefs and products
Pricing Models - CPM, CPCV, CPP explained
Brief Expectations - How to write effective briefs
Media Products - Product structure and fields

​Quick Start

​Using Structured Filters

​Request Parameters

​Filters Object

​Budget Range Object

​Refine array

​scope: “request”

​scope: “product”

​scope: “proposal”

​refinement_applied (response)

​Catalog discovery

​Response

​Products Array

​Proposals Array (Optional)

​Pagination

​Response Metadata

​incomplete array

​Common Scenarios

​Time-budgeted discovery

​Standard Catalog Discovery

​Multi-Format Discovery

​Budget and Date Filtering

​Property Tag Resolution

​Guaranteed Delivery Products

​Standard Formats Only

​Catalog-driven discovery

​Property List Filtering

​Property Targeting Behavior

​Refinement

​Error Handling

​Authentication Comparison

​Authentication Behavior

​Asynchronous Operations

​When Search Runs Asynchronously

​Async Status Flow

​Immediate Completion (Most Common)

​Needs Clarification

​Complex Search (With Webhook)

​Immediate Completion (Most Common)

​Needs Clarification

​Complex Search (With Webhook)

​Status Overview

​Next Steps

​Learn More

Quick Start

Using Structured Filters

Request Parameters

Filters Object

Budget Range Object

Refine array

scope: “request”

scope: “product”

scope: “proposal”

refinement_applied (response)

Catalog discovery

Response

Products Array

Proposals Array (Optional)

Pagination

Response Metadata

incomplete array

Common Scenarios

Time-budgeted discovery

Standard Catalog Discovery

Multi-Format Discovery

Budget and Date Filtering

Property Tag Resolution

Guaranteed Delivery Products

Standard Formats Only

Catalog-driven discovery

Property List Filtering

Property Targeting Behavior

Refinement

Error Handling

Authentication Comparison

Authentication Behavior

Asynchronous Operations

When Search Runs Asynchronously

Async Status Flow

Immediate Completion (Most Common)

Needs Clarification

Complex Search (With Webhook)

Immediate Completion (Most Common)

Needs Clarification

Complex Search (With Webhook)

Status Overview

Next Steps

Learn More