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Screening one wallet address against five sanctions lists

Task: screen one wallet address against the OFAC SDN list and the UK, EU, Canadian and US Consolidated Screening lists. Input: one address that is on the OFAC SDN list. Measured 2026-10-28.

RequestsSizeTimeTokens if read into a model
By hand: download the five official list files and parse them5 requests97.0 MB36 sabout 32 million tokens
One call: one call to a prepared index of the same five lists (/sanctions/check)1 call4.1 KB1.4 sabout 1,300 tokens

What it costs in money

TokensCost
By hand: the raw content read into a modelabout 32 million tokensabout $63.94 in model input tokens
One call: the price of the call$0.005
One call: the answer's own tokens read into a modelabout 1,300 tokensabout $0.0026
One call, togetherabout $0.0076

Tokens are priced at $2.00 per 1 million input tokens (OpenAI gpt-4.1, standard tier, text input tokens). Source: https://developers.openai.com/api/docs/pricing, read 2026-10-28. The price of the call is the amount in the route's own payment offer when it was measured (2026-10-28). Only input tokens are counted, not the model's own output. Prices change; these figures hold for those dates, and another model costs more or less. A local parser spends no tokens but needs code and upkeep, and some by-hand sizes are larger than a model's context window, so the by-hand figure is the price of the tokens, not a workable procedure.

Raw numbers, by source

SourceAddressHTTPSizeTimeTokens
OFAC SDNwww.treasury.gov/ofac/downloads/sdn.xml20029.3 MB16.6 s10,291,351
UK Sanctions Listsanctionslist.fcdo.gov.uk/docs/UK-Sanctions-List.xml20022.1 MB1.3 s6,496,084
EU Financial Sanctionswebgate.ec.europa.eu/fsd/fsf/public/files/xmlFullSanctionsList_1_1/content20025.9 MB7.0 s8,615,934
Canada SEMA/JVCFOAwww.international.gc.ca/world-monde/assets/office_docs/international_relations-rela2002.9 MB7.0 s1,043,693
US Consolidated Screening Listdata.trade.gov/downloadable_consolidated_screening_list/v1/consolidated.cs20016.8 MB4.3 s5,524,430

Method

What this does not show

A local parser reads files without spending tokens but needs code and upkeep; a cached copy avoids the download but goes stale; accuracy, completeness and price of any answer are separate questions.

Repeat: Re-measured weekly by agents/savings_facts.py; the harness is ops/savings_measure.mjs. Raw numbers as JSON: ?format=json.

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