> ## Documentation Index > Fetch the complete documentation index at: https://crushrewards.dev/docs/llms.txt > Use this file to discover all available pages before exploring further. # Find discounted products in a category > Discover discounted in-stock products in a category above a minimum discount threshold (discount = current price below the retailer's list price). Quality-gated: unbranded listings, sub-$5 items, and discounts above 70% (the inflated-list-price spam signature) are excluded. Ranked by discount depth weighted by log(price), so meaningful discounts on real products outrank deep cuts on trinkets. Each deal carries observed_at (when its price was seen) and a nullable gpc block (fail-soft). ## OpenAPI ````yaml https://api.syntalic.com/openapi.json get /v1/shopper/deal-finder openapi: 3.1.0 info: title: 'Syntalic — Data Analytics for Agentic Commerce ' version: 1.0.0 contact: name: Syntalic email: support@syntalic.com url: https://syntalic.com description: >- Competitive pricing data across US and Canadian e-commerce retailers (Amazon, Walmart, Target, Best Buy, Home Depot, etc.). Serves price comparisons, deal alerts, brand tracking, promotional intelligence, and market analytics to AI agents via x402 and MPP micropayments. x-guidance: >- This API has three endpoint groups organized by use case: **Shopper endpoints** ($0.01/query): Use these for price comparisons and deal hunting. Start with /v1/shopper/best-price?q= to find the cheapest option across retailers. Use /v1/shopper/deal-finder?category= to find discounted products. Use /v1/shopper/price-drop-alert?q= to check for recent price drops. **Marketing endpoints** ($0.01/query): Use these for competitive analysis. /v1/marketing/competitive-landscape?category= shows all products in a category with pricing. /v1/marketing/brand-tracker?brand= tracks a brand's pricing over time. /v1/marketing/share-of-shelf?category= shows brand market share. **Analyst endpoints** ($0.02/query): Use these for market-level insights. /v1/analyst/inflation?category= shows price trends over time. /v1/analyst/price-dispersion?category= shows price spread across retailers. All endpoints accept an optional 'country' parameter (us or ca, defaults to us). Query parameters use 'q' for free-text search and 'category' for category-level queries. Marketing and analyst responses carry a `meta` block (served_from, freshness_seconds, schema_version) for staleness budgeting and a `resolved` block describing how the category input was matched against the taxonomy. Every response also sends an X-Data-Freshness-Hours header. **Free pre-payment rejection:** requests that cannot be served are rejected BEFORE any payment challenge — invalid params (400 INVALID_PARAMS), retailers that are not serving-eligible (404 RETAILER_NOT_SERVING_ELIGIBLE, with the catalog quality status and the serving_eligible_retailers list in error.details), and shopper queries that resolve to nothing in the catalog (404 NO_RESULTS). You only pay when the API can actually execute your query. Retailer values are case-insensitive (amazon == Amazon). servers: - url: https://api.syntalic.com security: [] paths: /v1/shopper/deal-finder: get: tags: - Shopper summary: Find discounted products in a category description: >- Discover discounted in-stock products in a category above a minimum discount threshold (discount = current price below the retailer's list price). Quality-gated: unbranded listings, sub-$5 items, and discounts above 70% (the inflated-list-price spam signature) are excluded. Ranked by discount depth weighted by log(price), so meaningful discounts on real products outrank deep cuts on trinkets. Each deal carries observed_at (when its price was seen) and a nullable gpc block (fail-soft). operationId: findDeals parameters: - name: brand in: query required: false schema: type: string minLength: 1 description: Brand name (e.g., Sony, Samsung, Nike) example: Apple - name: category in: query required: true schema: type: string minLength: 1 description: >- Product category in the Shopify product taxonomy. Accepts a display path (e.g. 'Electronics > Computers > Laptops'), its slug form (e.g. 'electronics/computers/laptops'), a single path segment (e.g. 'laptops', 'headphones'), or an everyday shelf name (e.g. 'apparel', 'beauty', 'grocery'); matched against the catalog's category tree (exact node, subtree, or whole path segment). Also accepts a GS1 GPC code (exactly 8 digits, e.g. '10001159') to filter by PRODUCT TYPE instead of by shelf placement — the same product type is shelved under different categories by different retailers, so a category filter answers from a fraction of the data while a GPC code spans them. Coarser codes (class/family/segment) match every brick beneath them. Resolve a phrase to a code with /v1/reference/classify?q=... ; when a code is used, resolved.match_source is 'gpc'. example: electronics - name: country in: query required: false schema: type: string enum: - us - ca default: us description: Country (us or ca) example: us - name: retailer in: query required: false schema: type: string enum: - amazon - walmart - target - bestbuy - homedepot - costco - ikea - samsclub - cvs - dillards description: >- Filter to a specific retailer platform (long-tail specialty stores are also present; any platform key is accepted) example: amazon - name: min_discount_pct in: query required: false schema: type: integer default: 10 description: Minimum discount percentage (default 10) example: 10 - name: limit in: query required: false schema: type: integer default: 20 minimum: 1 maximum: 50 description: Max results to return (default 20, min 1, max 50) example: 20 responses: '200': description: Deals found content: application/json: schema: type: object properties: category: type: string country: type: string currency: type: string deals: type: array items: type: object properties: product_uid: type: string entity_uid: type: string product_id: type: string product_name: type: string brand: type: string nullable: true retailer: type: string price: type: number list_price: type: number nullable: true discount_pct: type: number nullable: true star_rating: type: number nullable: true review_count: type: integer nullable: true promo_flag: type: boolean in_stock: type: boolean nullable: true condition: type: string match_type: type: string observed_at: type: string format: date-time scraped_at: type: string format: date-time additionalProperties: true total_deals_found: type: integer meta: type: object properties: served_from: type: string freshness_seconds: type: number schema_version: type: string computed_at: type: string format: date-time price_observed_at_min: type: string format: date-time nullable: true price_observed_at_max: type: string format: date-time nullable: true additionalProperties: true '400': description: >- Invalid query parameters or unsupported enum values. Rejected by preflight BEFORE the payment challenge — no payment is requested or charged for malformed requests. content: application/problem+json: schema: type: object required: - type - title - status properties: type: type: string format: uri-reference title: type: string example: Bad Request status: type: integer const: 400 detail: type: string instance: type: string error: type: object properties: code: type: string message: type: string details: type: object additionalProperties: true additionalProperties: true additionalProperties: true '402': description: Payment challenge required before executing paid work content: application/problem+json: schema: type: object required: - type - title - status properties: type: type: string format: uri-reference title: type: string example: Payment Required status: type: integer const: 402 detail: type: string instance: type: string error: type: object properties: code: type: string message: type: string details: type: object additionalProperties: true additionalProperties: true additionalProperties: true '404': description: >- No matching result. error.code distinguishes the cases: NO_RESULTS (the query resolves to nothing in the catalog), RETAILER_NOT_SERVING_ELIGIBLE (the requested retailer exists but is not serving-eligible — error.details carries its catalog quality_status and the serving_eligible_retailers list to retry against), or NOT_PUBLISHED (a social rollup the current publish run does not compute yet — a gap in what we publish, not a finding about the category). Structurally-unservable requests are rejected by preflight before any payment challenge. content: application/problem+json: schema: type: object required: - type - title - status properties: type: type: string format: uri-reference title: type: string example: Not Found status: type: integer const: 404 detail: type: string instance: type: string error: type: object properties: code: type: string message: type: string details: type: object additionalProperties: true additionalProperties: true additionalProperties: true '429': description: Rate limit exceeded content: application/problem+json: schema: type: object required: - type - title - status properties: type: type: string format: uri-reference title: type: string example: Too Many Requests status: type: integer const: 429 detail: type: string instance: type: string error: type: object properties: code: type: string message: type: string details: type: object additionalProperties: true additionalProperties: true additionalProperties: true '500': description: Unexpected server error content: application/problem+json: schema: type: object required: - type - title - status properties: type: type: string format: uri-reference title: type: string example: Internal Server Error status: type: integer const: 500 detail: type: string instance: type: string error: type: object properties: code: type: string message: type: string details: type: object additionalProperties: true additionalProperties: true additionalProperties: true ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.