This article analyses the level of integration in pastoral markets in Kenya using high-frequency data generated through a crowdsourcing endeavour. The vector error-correction model framework was used to estimate the causal relationships between the short- and long-run market price. The results indicate that a higher proportion of price variation in larger markets in the region was due to market price shocks, while variation in the smaller markets originated from the larger markets.