Prediction-market directory

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Compare the statements and evidence we have collected. Each column retains its source dates; historical claims and missing fields are visible.

Catalogue fields are historical source statements. Page metadata may refer to a publisher or embedded product. Neither establishes the verified legal operator, present pricing, regulatory status or quality of a service.

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Source-backed comparison of kalshi-starter-code-python, Artemis
Fieldkalshi-starter-code-python

VK-5ba3c7e69677f32b

Artemis

VK-d8ef5b939ed30fb8

Published contributor descriptionNot suppliedNot supplied
Contributor pricing statementNot suppliedNot supplied
Contributor details publishedNot suppliedNot supplied
Profile claimNo active approved claimNo active approved claim
Record evidenceHistorical catalogue onlyHistorical catalogue only
Historical product descriptionKalshi's example Python scripts for making authenticated REST and WebSocket requests. README states it is sample code, not an SDK.Investment research platform whose prediction markets sector page tracks volume, open interest and users for Polymarket and Kalshi, alongside crypto and equity data.
Name in the historical cataloguekalshi-starter-code-pythonArtemis
Reported categoryData & APIsData & APIs
Reported venuesKalshiPolymarket, Kalshi
Historical pricing statementFreeFree tier; paid plans not published on load
Open-source claimSource says yesSource says no
Execution claimNot statedSource says no
Historical status statementlivelive
Historical backer statementNot statedNot stated
Catalogue-reported repositoryhttps://github.com/Kalshi/kalshi-starter-code-pythonNot stated
Catalogue's own check date2026-08-272026-08-27
Catalogue snapshot date (UTC)2026-09-082026-09-08
Operator name in page metadataNot capturedNot captured
Location in page metadataNot capturedNot captured
Founding date in page metadataNot capturedNot captured
Page-declared statements00
Linked repository records10
Vultax assessmentNot assessedNot assessed
Websitehttps://github.com/Kalshi/kalshi-starter-code-pythonhttps://www.artemis.ai/sectors?tab=prediction_markets
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Historical descriptions and catalogue claims: Kairos contributors, CC BY 4.0. Vultax adds source matching, presentation and factual comparisons. Attribution, licences and coverage.