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POST
/
api
/
agent
/
intent
/
find-and-buy
Post Intent Find And Buy
curl --request POST \
  --url https://api.example.com/api/agent/intent/find-and-buy \
  --header 'Content-Type: application/json' \
  --header 'X-Site-ID: <x-site-id>' \
  --data '
{
  "query": "<string>",
  "shipping_address": {},
  "quantity": 1,
  "max_unit_price_cents": 5000000,
  "email": "<string>"
}
'
{
  "cart": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "currency": "<string>",
    "items": [
      {
        "variant_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
        "product_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
        "product_name": "<string>",
        "quantity": 123,
        "price_cents": 123,
        "line_total_cents": 123,
        "variant_name": "<string>",
        "sku": "<string>"
      }
    ],
    "subtotal_cents": 123,
    "item_count": 123,
    "summary_for_llm": "<string>"
  },
  "checkout_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "checkout_url": "<string>",
  "summary": "<string>",
  "expires_in": 123,
  "total_cents": 123,
  "currency": "<string>",
  "chosen": {
    "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "name": "<string>",
    "slug": "<string>",
    "description": "<string>",
    "vendor": "<string>",
    "product_type": "<string>",
    "tags": [
      "<string>"
    ],
    "image_url": "<string>",
    "price_min_cents": 123,
    "price_max_cents": 123,
    "currency": "<string>",
    "in_stock": true,
    "total_inventory": 123,
    "variant_count": 123,
    "variants": [
      {
        "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
        "title": "<string>",
        "price_cents": 123,
        "options": {},
        "inventory_quantity": 123,
        "in_stock": true,
        "sku": "<string>"
      }
    ],
    "summary_for_llm": "<string>"
  },
  "chosen_variant_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "quantity_added": 123,
  "match_reasons": [
    "<string>"
  ],
  "requires_confirmation": true
}

Documentation Index

Fetch the complete documentation index at: https://docs.stella-commerce.com/llms.txt

Use this file to discover all available pages before exploring further.

Headers

​
X-Site-ID
string
required
​
authorization
string | null

Body

application/json

Agent → Stella: POST /api/agent/intent/find-and-buy.

Same semantics as find-and-add, plus a Stella-hosted checkout that the customer taps to pay. Stella NEVER charges the card on the agent's behalf — the customer is always the final approver. Phase 6 decision C2.

​
query
string
required
Required string length: 1 - 512
​
shipping_address
Shipping Address · object
required

Shipping address dict. Must contain at least first_name, last_name, address1, city, country. Phase 6-C2 v1 doesn't validate the schema strictly — it passes through to CheckoutService.create_checkout which stores it as-is on checkouts.shipping_address. Agents should pass what their LLM-tool-call schema produces.

​
quantity
integer
default:1
Required range: 1 <= x <= 10
​
max_unit_price_cents
integer | null
Required range: 0 <= x <= 10000000
​
email
string | null

Email for the order confirmation. Defaults to the agent's linked customer.email when omitted.

Response

Successful Response

Response shape for POST /api/agent/intent/find-and-buy.

requires_confirmation is always True — the agent MUST surface checkout_url to the customer for final approval. Auto-paying on the agent's behalf is explicitly out of scope (Phase 6 decision C2; revisit if regulators ever say it's safe).

​
cart
AgentCart · object
required

LLM-shape cart snapshot. Mirrors the storefront cart but in integer-cents currency and with summary_for_llm for the one-line agent-readable digest.

​
checkout_id
string<uuid>
required
​
checkout_url
string
required
​
summary
string
required
​
expires_in
integer
required

Seconds until the chk_ token in the URL fragment expires. After this, the customer's tap returns a 401 and the agent must re-issue.

​
total_cents
integer
required
​
currency
string
required
​
chosen
AgentCatalogProduct · object
required

LLM-shape product.

summary_for_llm is the single-paragraph natural-language summary an LLM can read to decide if this matches a user's intent. The structured fields below it are for follow-up calls (cart adds, detail renders) and reasoning attribution. Keep this shape FLAT — LLMs handle nesting poorly.

​
chosen_variant_id
string<uuid>
required
​
quantity_added
integer
required
​
match_reasons
string[]
required
​
requires_confirmation
boolean
default:true