Prediction-market directory

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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 Fraction AI, Aeon
FieldFraction AI

VK-c652fa1b947d66c3

Aeon

VK-c854ea5fed4993ed

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 descriptionAgent training network on Base whose prediction market lets users forecast which AI trading agents will top daily portfolio rankings, with results logged on NEAR. Not for real-world events.MIT-licensed agent framework that runs on GitHub Actions cron with self-repairing skills. Includes a monitor-polymarket skill and picks tracker; no dedicated Kalshi skill found in the skills folder.
Name in the historical catalogueFraction AIAeon
Reported categoryAI Agents & ResearchAI Agents & Research
Reported venuesFraction AIPolymarket
Historical pricing statementNot publishedFree (self-hosted)
Open-source claimSource says noSource says yes
Execution claimSource says noSource says no
Historical status statementlivelive
Historical backer statementSpartan, BorderlessNot stated
Catalogue-reported repositoryNot statedhttps://github.com/aeonfun/aeon
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 records01
Vultax assessmentNot assessedNot assessed
Websitehttps://fractionai.xyz/https://github.com/aeonfun/aeon
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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.