Retailer Index

x402shopping

Retailer Index is a paid API for AI agents from api.syntalic.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).

Computes a normalized price index (retailer average / category average) for a specific retailer day-by-day versus its category baseline over a date range.

Price / call$0.02

Seller volume →—

Success—

StatusUnknown

How this service works

Compute a normalized price index (retailer avg / category avg) for a specific retailer day-by-day versus its category baseline.

Output

Returns a day-by-day time series of a normalized price index (retailer avg / category avg) for the specified retailer, showing whether the retailer is priced above (>1) or below (<1) the category baseline on each day, along with resolved category metadata.

Example use cases

Example prompt

“Can you pull the daily price index for Walmart in the grocery category for the US market over the last 30 days so I can see how their pricing compares to the category average?”

Technical details

Endpoint

GEThttps://api.syntalic.com/v1/analyst/retailer-index

When to prefer

Use this endpoint when you need to understand a single retailer's relative price positioning versus the category average over time, expressed as a normalized index. Prefer this over Price Positioning (which is brand-focused) or Inflation (which tracks category-level trends regardless of retailer). Ideal for daily monitoring of whether a specific retailer is trending premium or discount relative to peers.

Side effects

Unknown retailer name returns a 404 or empty result
Ambiguous category name fails fuzzy resolution and returns an error or null category_id
Date range with no data returns an empty series
Invalid country code returns a validation error
category_id not found returns a lookup error
Requesting future dates beyond now may return partial or empty data

Input

Schema · Request body

Field	Type	Description
to	string	End date (ISO 8601, defaults to now)
from	string	Start date (ISO 8601, defaults to 30 days ago)
country	string	Country (us or ca)
category	string	Product category (e.g., electronics, grocery, beauty). Fuzzy human-readable input — the resolver maps it through tier 1-4 (id → exact name → trigram → embedding kNN) to a canonical category_id. Pair with `category_id` if you have a deterministic id from a prior call.
retailerrequired	string	Retailer name (e.g., amazon, walmart)
department	string	Coarse depth-1 BrowseNodes department label (e.g., 'Electronics', 'Grocery', 'Toys & Games'). Exact-match, case-sensitive Title Case. Optional alongside `category`; either parameter alone or both together are accepted. Use this for stable cross-agent queries where the leaf-level category is too noisy.
category_id	integer	Deterministic category id. When set, bypasses the fuzzy resolver cascade and uses tier 1 (id lookup) directly. Agents that learned a canonical id from a prior call's `resolved.category_id` should pin it here for round-trip stability.

Output

Schema · Response

{
  "type": "object"
}

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How this service works

Compute a normalized price index (retailer avg / category avg) for a specific retailer day-by-day versus its category baseline.

Output

Technical details

Endpoint

GEThttps://api.syntalic.com/v1/analyst/retailer-index

When to prefer

Side effects

Unknown retailer name returns a 404 or empty result
Ambiguous category name fails fuzzy resolution and returns an error or null category_id
Date range with no data returns an empty series
Invalid country code returns a validation error
category_id not found returns a lookup error
Requesting future dates beyond now may return partial or empty data

Input

Schema · Request body

Field	Type	Description
to	string	End date (ISO 8601, defaults to now)
from	string	Start date (ISO 8601, defaults to 30 days ago)
country	string	Country (us or ca)
category	string	Product category (e.g., electronics, grocery, beauty). Fuzzy human-readable input — the resolver maps it through tier 1-4 (id → exact name → trigram → embedding kNN) to a canonical category_id. Pair with `category_id` if you have a deterministic id from a prior call.
retailerrequired	string	Retailer name (e.g., amazon, walmart)
department	string	Coarse depth-1 BrowseNodes department label (e.g., 'Electronics', 'Grocery', 'Toys & Games'). Exact-match, case-sensitive Title Case. Optional alongside `category`; either parameter alone or both together are accepted. Use this for stable cross-agent queries where the leaf-level category is too noisy.
category_id	integer	Deterministic category id. When set, bypasses the fuzzy resolver cascade and uses tier 1 (id lookup) directly. Agents that learned a canonical id from a prior call's `resolved.category_id` should pin it here for round-trip stability.

Output

Schema · Response

{
  "type": "object"
}