Query Treasure Data activation logs to detect delivery errors.
npx skills add https://github.com/treasure-data/td-skills --skill activations
Please help me install this Agent Skill. Skill: activations Source: https://github.com/treasure-data/td-skills/tree/main/realtime-skills/activations Command: npx skills add https://github.com/treasure-data/td-skills --skill activations
Query activation logs to check deliveries, status, errors, and volumes in real time across journeys.
Example: SELECT * FROM activations WHERE TD_INTERVAL(time, '-1d/now') LIMIT 100;
High-intent search queries and answers about installing and using this skill.
Query activation logs using Treasure Data to detect delivery errors in real-time digital marketing activations. Filter by time range with TD_INTERVAL, select your parent segment, and inspect the error and status columns to identify failed deliveries across journeys within the last 24 hours.
Activation logs contain time, delivered, status, timestamp, activation_type, log_time, journey_name, journey_stage_name, activation_name, error, activation_id, event_id, and response fields. These enable filtering by journey, stage, activation type, and error messages to analyze performance across your real-time activation pipeline.
Yes, you can aggregate activation logs by journey_name, journey_stage_name, and activation_name to measure delivery success rates and identify performance patterns. Use GROUP BY clauses to summarize volumes and error counts across your activation campaigns.
You need a numeric segment ID, a configured Treasure Data MCP server, and a valid API key with access to the activations table in the cdp_audience_<segment>_rt database to query activation logs and inspect error and delivery metrics.
Query the activations table filtered by TD_INTERVAL for your desired time range, then group results by journey_name and journey_stage_name to compare delivery success rates, error frequencies, and activation volumes across stages and journeys.
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