TiresAPI Inventory By-Day (Historical Snapshot) is a paid API for AI agents from tiresapi.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Returns paginated inventory rows for a specific UTC date snapshot, filterable by tire size, SKU, retailer, or state.
Inventory rows for a single last_extracted partition (single SKU or size).
A paginated array of inventory records for the requested date snapshot, each containing store location (city, state, zip, store number), tire details (size, brand, model, brand_tier), pricing (single_price), retailer identifier, and the key_brand_mpc hash. Includes pagination cursor and metadata such as as_of timestamp.
GEThttps://tiresapi.com/api/v1/corpus/inventory/by-dayUse this endpoint when you need historical tire inventory data for a specific past date — ideal for time-series analysis, price trend research, or auditing what was in stock on a given day. Prefer this over the latest-snapshot endpoint when you need point-in-time historical records rather than current availability. Use the summary=true mode (via the history walk endpoint) for aggregate band analysis; use this by-day endpoint when you need raw per-store rows for a single date partition.
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"limit": 100,
"state": "TX",
"utc_date": "2024-03-15",
"tire_size": "225/65R17"
}
}
}| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"_truncated": true,
"_originalSize": 50032
}{
"type": "json",
"example": {
"data": [
{
"size": "235/55R17",
"store_num": "1234",
"history_id": 987654321,
"retailer_key": "DISCOUNTTIRE",
"single_price": 142.99,
"key_brand_mpc": "AAECAw",
"last_extracted": "2026-05-19T18:00:00Z"
}
],
"page": {
"cursor": "142.99|DISCOUNTTIRE|1234|987654321",
"has_more": true
},
"utc_date": "2026-05-19"
}
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