> ## 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. # Analyze price spread across retailers for a category or department > Analyze the spread of current prices within a category - mean, stddev, coefficient of variation, and percentiles (p10..p90) with IQR outlier exclusion. The population is representativeness-filtered: refurbished/used listings, accessory/parts subtrees, and rows under a category-aware price floor are excluded from headline stats, with the counts disclosed in `excluded`. ## OpenAPI ````yaml https://api.syntalic.com/openapi.json get /v1/analyst/price-dispersion 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/analyst/price-dispersion: get: tags: - Analyst summary: Analyze price spread across retailers for a category or department description: >- Analyze the spread of current prices within a category - mean, stddev, coefficient of variation, and percentiles (p10..p90) with IQR outlier exclusion. The population is representativeness-filtered: refurbished/used listings, accessory/parts subtrees, and rows under a category-aware price floor are excluded from headline stats, with the counts disclosed in `excluded`. operationId: getPriceDispersion parameters: - name: category in: query required: false 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'. For analyst endpoints, supply either `category` or `department`; both may be supplied to narrow the scope. example: electronics - name: department in: query required: false schema: type: string minLength: 1 description: >- Top-level department (root category), e.g. 'Electronics', 'Beauty', 'Home & Kitchen'. Case-insensitive; matched against the category tree's root segment. For analyst endpoints, supply either `category` or `department`; both may be supplied to narrow the scope. 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 responses: '200': description: Price dispersion data content: application/json: schema: type: object properties: category: type: string nullable: true department: type: string nullable: true country: type: string currency: type: string avg_price: type: number nullable: true min_price: type: number nullable: true max_price: type: number nullable: true std_dev: type: number nullable: true coeff_of_variation: type: number nullable: true percentiles: type: object properties: p10: type: number nullable: true p25: type: number nullable: true p50: type: number nullable: true p75: type: number nullable: true p90: type: number nullable: true product_count: type: integer price_histogram: type: array description: >- Equal-width buckets over the SAME products the percentiles describe, so the counts sum to product_count. Eight buckets spanning min_price..max_price; the top bucket's upper edge is inclusive. A category where every product shares one price returns a single bucket. Per-product prices are not served — the distribution answers the question without shipping the priced catalogue. items: type: object properties: bin: type: string description: Bucket range label, e.g. "12.5–24.0" count: type: integer outliers_excluded: type: integer representative_floor: type: number excluded: type: object description: >- Transparency counts: rows in scope but excluded from the headline statistics by the representativeness policy. properties: below_floor: type: integer refurbished_or_used: type: integer accessory_or_parts: type: integer price_outliers: type: integer additionalProperties: true resolved: type: object properties: input: type: string category_path: type: string nullable: true department: type: string nullable: true match_source: type: string nullable: true match_confidence: type: number nullable: true alternates: type: array items: type: object additionalProperties: true additionalProperties: true 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.