Get Interaction

ID of the document/feature that was interacted with. REQUIRED. This is the SAME value as the document_id returned in retriever execute results — you can pass it as either feature_id or document_id (the latter is accepted as an alias). Used to track which specific items users engage with.

Position in search results where interaction occurred (0-indexed). REQUIRED. Critical for Learning to Rank - helps identify position bias. E.g., position=0 means first result, position=9 means 10th result. Higher engagement at lower positions suggests higher quality.

Customer's authenticated user identifier. NOT REQUIRED. Persists across sessions for long-term tracking. Enables personalization and user-specific metrics. Use your application's user ID format.

Temporary identifier for a single search session. NOT REQUIRED. Typically 30min-1hr duration. Tracks anonymous and authenticated users within a session. Use to group related queries and understand search journeys. Also used by learned fusion (auto-tune) for within-session real-time adaptation: interactions sharing a session_id allow the bandit to update feature weights mid-session without waiting for batch aggregation.

ID of the retriever execution that generated these results. NOT REQUIRED but HIGHLY RECOMMENDED for training and optimization. Links the interaction back to the exact search query, pipeline configuration, and stage execution that produced the results the user saw. Essential for: fine-tuning embeddings, training rerankers, query understanding, and tracing which pipeline configs produce better user engagement. Retrieve from the retriever execution response and pass to interactions.

ID of the retriever that was executed. NOT REQUIRED but RECOMMENDED for multi-retriever analytics. Enables comparing performance across different retriever configurations. If execution_id is provided, retriever_id can be inferred from the execution record.

Initial retrieval score of this document when shown to the user. HIGHLY RECOMMENDED for Learning to Rank (LTR). This is a critical feature for reranker training - helps the model learn how to adjust initial scores based on user engagement. Should match the score from the retriever execution results. NOT REQUIRED but strongly recommended for LTR and reranker training.

Total number of results shown to the user in this search. NOT REQUIRED but useful for context. Helps understand interaction patterns - clicking position 5 of 10 results is different from position 5 of 100 results. Useful for position bias correction and CTR analysis.

Feature URI that produced the clicked result (e.g. 'mixpeek://text_extractor@v1/embedding'). Required for learned fusion — interactions without this field do not contribute to weight learning.

When the interaction actually happened (ISO 8601). OPTIONAL. Omit for live interactions — the server stamps 'now'. Supply this ONLY to backfill historical interactions (e.g. migrating existing click logs) so learned-fusion temporal decay weights them by their TRUE age. A naive datetime is interpreted as UTC; a future value is clamped to now. Backfilled events bypass the real-time session cache.

Unique identifier for this interaction record. System-assigned UUID. Use this to reference the interaction in subsequent requests. Null when the interaction was deduplicated (see deduplicated field).

True when this interaction was a duplicate of a recently recorded interaction with the same (execution_id, feature_id, interaction_type) tuple and was silently dropped. The interaction_id will be null.

ISO 8601 timestamp when the interaction was recorded. System-assigned. Used for time-based analysis, training data recency weighting, and temporal trends in user behavior.

Non-blocking warning about the interaction. Present when the request was accepted but may not behave as intended (e.g. missing feature_uri for learned fusion).