US Customs ocean bill-of-lading

US Customs ocean bill-of-lading (AMS filing) records, compiled into a queryable research-grade dataset: roughly 1.2 million bills per month, about 35 fields per bill, across 360+ US ocean ports, 2014 to current. Each record carries shipper, consignee and notify party with full parsed address columns, product description as filed, HS code as filed, weight, piece count, container identity/size/type, vessel and voyage, carrier, manifest and master-BL numbers, loading/unloading ports, place of receipt and country, and estimated versus actual arrival dates. Layered on top are derived econ instruments — sellers-per-shipment, tariff-impact pre/post comparisons for Section 201/232/301, port-to-city routes, carrier market share by lane, and supplier add/leave panels.

Open buyer room →

Sample

Brickroad customers

Sample this dataset before you buy it.

Your sourcing agent asks Kirchnerdata and files the sample in your catalog — private to you.

Start 7-day trialNothing is charged until the trial ends.

Coverage

Universe, instruments and categories.

Industry: Financial Exchanges & Data
Instruments: equitiescommoditiesfixed_income
Categories: Alternative

Dataset card

Type: not stated
Format: Tabular — relational bill-of-lading tables (a single named universe table with 35+ parsed columns) sold as whole per-year files, per-record paid extracts, custom slices, and JSON API endpoints with a published OpenAPI spec
Volume: Approximately 1.2 million bills of lading per month at roughly 35 fields each across 360+ US ocean ports, i.e. on the order of 14 million records per year and 150 million-plus bills across the 2014-to-current window. These are the vendor's own published counts.
Users: Low thousands of academic and commercial accounts (inferred: an academic-first product with free no-signup tools, a paid research desk at $0.0015 per bill with a $20 minimum, and per-year files at $2,500-$5,650; no account count published)
History: not stated
Update frequency: not stated
Growth: Active — business journal carries 2026 volume and dated April 2026 articles, product import trends extend to 2025 with 2026 years listed as in stock, and the public API and tool set continue to expand
Launched: ~2023-2024 — an EXIST-funded spin-out (EXIST is a German university start-up grant programme) with the company funded by University of Ulm, the German Ministry of Economics and the European Union; the earliest dated research article is March 2025
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

supplier index read from their site