Mixpeek API key, sent as Authorization: Bearer mxp_sk_.... Create one in Studio under Settings → API Keys, or with an admin key via POST /v1/organizations/users/{user_email}/api-keys. A missing, malformed, unknown, revoked, inactive or expired key returns 401; a key without the permission, scope or plan an operation needs returns 403.
Namespace id (ns_...), not the namespace name. This scopes the request rather than authenticating it, and it is required on every operation marked x-mixpeek-namespace-scoped.
REQUIRED. Unique identifier for this execution run. Use this ID to track execution status, retrieve execution details, or query execution history. Format: 'exec_' prefix followed by alphanumeric token.
REQUIRED. Execution status indicating current state. Common values: 'completed', 'failed', 'processing', 'pending'. Check this field to determine if execution succeeded or requires retry.
What this run skipped, one entry per resource, when status is 'degraded': the resource kind, its id, why it was skipped, and what to do about it. Empty on a clean run. A degraded run may return few or no documents; read these before treating an empty result as a real no-match.
OPTIONAL. Every cap that clamped this request: the setting, the value asked for, the value used, the cap's maximum and the stage that applied it. Absent when nothing was capped. A run that hit a cap can return fewer documents than asked; read this before treating a short result as everything that matched.
REQUIRED. Final document results after retriever completion, and the canonical result key: read documents, not results (the latter is a deprecated byte-for-byte alias, off unless include_legacy_results=true, and its ABSENCE on a normal response must not be read as zero results). Contains documents that passed through all retriever stages. Each document may include: document_id, payload (full document data), score (relevance score), metadata (collection-specific fields), and any fields added by enrichment/join stages. The moment_group reduce stage annotates each document with a moments array of merged time ranges; each moment has start_ms, end_ms, duration_ms, score, match_count and document_ids (see the moment-annotated example). Empty array indicates no documents matched the query criteria. Note: Legacy format may use 'final_results' instead of 'documents'.
DEPRECATED alias for documents. Previously a computed field that duplicated documents byte-for-byte in every response (~half the payload). It is no longer populated by default to cut response size; pass ?include_legacy_results=true to restore it during migration. Prefer documents — it is and has always been the canonical field. OMITTED from the response when unpopulated while documents has data (an empty results next to populated documents misled readers into 'no results' — 2026-07-06 and again 2026-07-08). When present it is ALWAYS a JSON array, never null. See FRUSTRATIONS.md 2026-04-02 / 2026-06-29 / 2026-06-30.
REQUIRED. Pagination metadata structure. Format varies by pagination method: Offset: {method, page_number, page_size, returned, total, has_next}, Cursor: {method, limit, returned, total, cursor, has_next}, Scroll: {method, scroll_id, limit, returned, total, has_next}, Keyset: {method, limit, returned, total, after}. Every method reports 'total', the number of documents the pipeline computed for this execution BEFORE the page slice, so compare total against returned to detect that a page is a subset. Use this to navigate through result pages.
REQUIRED. Per-stage execution statistics including timing, document counts, cache hit rates, and stage-specific metrics. Use this to understand retriever performance and identify bottlenecks.
Facet value-lists + counts computed by the feature_search stage(s), surfaced at the TOP LEVEL for discoverability: each entry is a FacetResult (a facet key plus value/count buckets). The same data also appears per-stage under stage_statistics.stages.<stage>.metadata.facets; this field is the predictable place a facet consumer looks. When more than one stage computes facets, the last stage's facets are surfaced here. None when no facets were requested.
REQUIRED. This run's usage: credits_used, credits_limit, time_elapsed_ms, time_limit_ms, tokens_used, llm_calls, metering. credits_used is what was charged to this run; a plain text search and a cache hit read 0.0. metering is 'unmetered' where there is no billing path, and credits_used is no price.
OPTIONAL. Unix timestamp (seconds) when this result was cached. Present only when the full response was served from the retriever-level cache. Compute freshness as: time.time() - cached_at.
Completeness by layer, so the claims never contradict: embeddings is complete, complete_after_retry or partial (some query embeddings were dropped); page is complete, not_known_complete (a retried stage answered an empty page) or the execution status; overall is complete only when both layers are. Filled in when the response is written.
OPTIONAL. Execution warnings that did not prevent results but indicate potential issues — e.g. filtering on unindexed fields. Empty when there are no warnings.
OPTIONAL. What the platform UNDERSTOOD from your request, so a correction or relaxation is visible instead of silent. Keys: provided_input_keys (the inputs you sent), inferred_inputs (schema defaults applied because you omitted the field — name: value), ignored_input_keys (inputs nothing in the pipeline consumes; they had no effect), and relaxations (filter conditions removed because the input they reference was not provided — each names the field, the template, and where it sat; the result set is BROADER than the literal filter when this is non-empty). The literal query text is used AS PROVIDED — no spell-correction step exists; semantic search is typo-tolerant by embedding, which this block does not alter. Stage-level rewrites (e.g. query_expand) report their expansions in stage_statistics.stages..metadata.
OPTIONAL. Retriever-level error message if execution failed. Only present when status='failed'. Contains human-readable error description to help diagnose the failure. Check stage_statistics for stage-specific errors.
Example:
"Retriever execution failed: Collection not found"
OPTIONAL. Whether automatic pipeline optimizations were applied before execution. Mixpeek automatically optimizes retrieval pipelines for performance by reordering stages, merging operations, and pushing work to the database layer. Optimizations preserve logical equivalence - you get the same results, just faster. When true, see optimization_summary for details about what changed.
OPTIONAL. Summary of pipeline optimizations applied before execution. Only present when optimization_applied=true. Contains: - original_stage_count: Number of stages in your original pipeline - optimized_stage_count: Number of stages after optimization - optimization_time_ms: Time spent optimizing (typically <100ms) - rules_applied: List of optimization rules that fired - stage_reduction_pct: Percentage reduction in stage count Use this to understand how the optimizer improved your pipeline. See OptimizationRuleType enum for detailed rule descriptions.
OPTIONAL. Learned fusion context when the retriever uses learned fusion (auto-tune) for weight optimization. Contains: context_key (resolution level used), sampled_weights (per-feature weight vector), feature_uris (features that were weighted), effective_exploration (Thompson sampling exploration rate), context_level ('personal', 'segment', or 'global'). Only present when learned fusion is active on this retriever.
Whether the documents this run returned are stored with it. FALSE means documents is empty because nothing was persisted, NOT because the query matched nothing: a stored execution keeps the statistics and not the result rows. Read total_returned below for what the run actually returned. This exists because an empty documents on a completed run is otherwise indistinguishable from a real empty result, and the same reasoning is already written down one field over, where documents says the ABSENCE of results must not be read as zero results.
Documents this run returned to the caller, as recorded when it ran. Present on a stored read even when documents is empty and documents_retained is false, which is what lets a caller tell 'returned 3, not retained' from 'matched nothing'. None when the stored record does not carry it.
Trace identifier recorded when this execution ran. Quote it to Mixpeek support to find the request's trace. Null for executions recorded before trace ids were stored.
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It is no longer populated by default to cut response size; pass `?include_legacy_results=true` to restore it during migration. Prefer `documents` — it is and has always been the canonical field. OMITTED from the response when unpopulated while `documents` has data (an empty `results` next to populated `documents` misled readers into 'no results' — 2026-07-06 and again 2026-07-08). When present it is ALWAYS a JSON array, never null. See FRUSTRATIONS.md 2026-04-02 / 2026-06-29 / 2026-06-30.","deprecated":true,"uniqueKey":"results","typeLabel":"Results · object[]"},"pagination":{"additionalProperties":true,"type":"object","title":"Pagination","description":"REQUIRED. Pagination metadata structure. Format varies by pagination method: Offset: {method, page_number, page_size, returned, total, has_next}, Cursor: {method, limit, returned, total, cursor, has_next}, Scroll: {method, scroll_id, limit, returned, total, has_next}, Keyset: {method, limit, returned, total, after}. Every method reports 'total', the number of documents the pipeline computed for this execution BEFORE the page slice, so compare total against returned to detect that a page is a subset. Use this to navigate through result pages.","examples":[{"has_next":false,"limit":25,"method":"cursor","returned":25,"total":25},{"has_next":true,"method":"offset","page_number":1,"page_size":10,"returned":10,"total":40}],"uniqueKey":"pagination","typeLabel":"Pagination · object"},"stage_statistics":{"properties":{"stages":{"additionalProperties":{"properties":{"input_count":{"type":"integer","minimum":0,"title":"Input Count","description":"Number of documents received by the stage (REQUIRED).","isRequired":true,"uniqueKey":"stage_statistics.stages.additionalProperties.input_count","typeLabel":"integer"},"output_count":{"type":"integer","minimum":0,"title":"Output Count","description":"Number of documents emitted by the stage (REQUIRED).","isRequired":true,"uniqueKey":"stage_statistics.stages.additionalProperties.output_count","typeLabel":"integer"},"duration_ms":{"type":"number","minimum":0,"title":"Duration Ms","description":"Wall-clock duration in milliseconds (REQUIRED).","isRequired":true,"uniqueKey":"stage_statistics.stages.additionalProperties.duration_ms","typeLabel":"number"},"efficiency":{"type":"number","minimum":0,"title":"Efficiency","description":"Output/Input ratio. 0 when input_count is 0 (REQUIRED).","isRequired":true,"uniqueKey":"stage_statistics.stages.additionalProperties.efficiency","typeLabel":"number"},"cache_hit":{"oneOf":[{"type":"boolean","title":"Cache Hit","description":"Deprecated alias for stage_cache_hit, kept for existing callers (OPTIONAL). Despite the name, this describes only THIS stage's own cache, not the retriever-level execute cache reported by cache_hit on the top-level response -- the two fields have shared this name across different response levels and that has misled multiple verification passes. Prefer stage_cache_hit.","uniqueKey":"stage_statistics.stages.additionalProperties.cache_hit.oneOf.0","typeLabel":"boolean"},{"type":"null","title":"Cache Hit","description":"Deprecated alias for stage_cache_hit, kept for existing callers (OPTIONAL). Despite the name, this describes only THIS stage's own cache, not the retriever-level execute cache reported by cache_hit on the top-level response -- the two fields have shared this name across different response levels and that has misled multiple verification passes. Prefer stage_cache_hit.","uniqueKey":"stage_statistics.stages.additionalProperties.cache_hit.oneOf.1","typeLabel":"null"}],"uniqueKey":"stage_statistics.stages.additionalProperties.cache_hit","typeLabel":"boolean | null"},"stage_cache_hit":{"oneOf":[{"type":"boolean","title":"Stage Cache Hit","description":"Indicates whether THIS stage served its result from its own stage cache (OPTIONAL). Distinct from cache_hit on the top-level retriever execution response, which describes a separate, retriever-level execute cache; a stage can report stage_cache_hit=true on a response whose top-level cache_hit is false, and that is not a contradiction.","uniqueKey":"stage_statistics.stages.additionalProperties.stage_cache_hit.oneOf.0","typeLabel":"boolean"},{"type":"null","title":"Stage Cache Hit","description":"Indicates whether THIS stage served its result from its own stage cache (OPTIONAL). Distinct from cache_hit on the top-level retriever execution response, which describes a separate, retriever-level execute cache; a stage can report stage_cache_hit=true on a response whose top-level cache_hit is false, and that is not a contradiction.","uniqueKey":"stage_statistics.stages.additionalProperties.stage_cache_hit.oneOf.1","typeLabel":"null"}],"uniqueKey":"stage_statistics.stages.additionalProperties.stage_cache_hit","typeLabel":"boolean | null"},"cached_at":{"oneOf":[{"type":"number","title":"Cached At","description":"Unix timestamp when this stage result was cached. Present only on cache hits.","uniqueKey":"stage_statistics.stages.additionalProperties.cached_at.oneOf.0","typeLabel":"number"},{"type":"null","title":"Cached At","description":"Unix timestamp when this stage result was cached. Present only on cache hits.","uniqueKey":"stage_statistics.stages.additionalProperties.cached_at.oneOf.1","typeLabel":"null"}],"uniqueKey":"stage_statistics.stages.additionalProperties.cached_at","typeLabel":"number | null"},"error":{"oneOf":[{"type":"string","title":"Error","description":"Stage-specific error message if execution failed but retriever execution continued (OPTIONAL).","uniqueKey":"stage_statistics.stages.additionalProperties.error.oneOf.0","typeLabel":"string"},{"type":"null","title":"Error","description":"Stage-specific error message if execution failed but retriever execution continued (OPTIONAL).","uniqueKey":"stage_statistics.stages.additionalProperties.error.oneOf.1","typeLabel":"null"}],"uniqueKey":"stage_statistics.stages.additionalProperties.error","typeLabel":"string | null"},"llm_calls":{"oneOf":[{"type":"integer","title":"Llm Calls","description":"Number of LLM invocations performed by the stage (OPTIONAL).","minimum":0,"uniqueKey":"stage_statistics.stages.additionalProperties.llm_calls.oneOf.0","typeLabel":"integer"},{"type":"null","title":"Llm Calls","description":"Number of LLM invocations performed by the stage (OPTIONAL).","uniqueKey":"stage_statistics.stages.additionalProperties.llm_calls.oneOf.1","typeLabel":"null"}],"uniqueKey":"stage_statistics.stages.additionalProperties.llm_calls","typeLabel":"integer | null"},"tokens_used":{"oneOf":[{"type":"integer","title":"Tokens Used","description":"Total tokens consumed by the stage (OPTIONAL, only for LLM stages).","minimum":0,"uniqueKey":"stage_statistics.stages.additionalProperties.tokens_used.oneOf.0","typeLabel":"integer"},{"type":"null","title":"Tokens Used","description":"Total tokens consumed by the stage (OPTIONAL, only for LLM stages).","uniqueKey":"stage_statistics.stages.additionalProperties.tokens_used.oneOf.1","typeLabel":"null"}],"uniqueKey":"stage_statistics.stages.additionalProperties.tokens_used","typeLabel":"integer | null"},"metadata":{"additionalProperties":true,"type":"object","title":"Metadata","description":"Stage-specific metadata containing additional execution details (OPTIONAL). For example, join stages include: join_strategy, join_type, matched_count, match_rate, etc. LLM stages may include: model_name, temperature, max_tokens, etc.","uniqueKey":"stage_statistics.stages.additionalProperties.metadata","typeLabel":"Metadata · object"}},"type":"object","required":["input_count","output_count","duration_ms","efficiency"],"title":"StageStatistics","description":"Execution metrics for a single stage in a retriever execution run.","examples":[{"cache_hit":false,"duration_ms":123.4,"efficiency":0.05,"input_count":5000,"output_count":250,"stage_cache_hit":false}],"uniqueKey":"stage_statistics.stages.additionalProperties","typeLabel":"StageStatistics · object"},"type":"object","title":"Stages","description":"Per-stage statistics keyed by stage instance name (REQUIRED).","uniqueKey":"stage_statistics.stages","typeLabel":"Stages · object"},"total_time_ms":{"type":"number","minimum":0,"title":"Total Time Ms","description":"Total retriever execution time in milliseconds (REQUIRED).","default":0,"uniqueKey":"stage_statistics.total_time_ms","typeLabel":"number"},"credits_used":{"type":"number","minimum":0,"title":"Credits Used","description":"Same value as budget.credits_used on an execute response.","default":0,"uniqueKey":"stage_statistics.credits_used","typeLabel":"number"},"server_service_ms":{"oneOf":[{"type":"number","title":"Server Service Ms","description":"Controller-measured service span in ms: the wall time of the service.execute_retriever call, stamped by the API controller after execution. Partitions request latency beyond the stages: middleware total minus this = pre-body (DI/auth/tenant resolution); this minus the stage sum = service-outside-stages (cache lookup, plan build, serialization). None on cache-hit replays, whose statistics belong to a different execution.","minimum":0,"uniqueKey":"stage_statistics.server_service_ms.oneOf.0","typeLabel":"number"},{"type":"null","title":"Server Service Ms","description":"Controller-measured service span in ms: the wall time of the service.execute_retriever call, stamped by the API controller after execution. Partitions request latency beyond the stages: middleware total minus this = pre-body (DI/auth/tenant resolution); this minus the stage sum = service-outside-stages (cache lookup, plan build, serialization). None on cache-hit replays, whose statistics belong to a different execution.","uniqueKey":"stage_statistics.server_service_ms.oneOf.1","typeLabel":"null"}],"uniqueKey":"stage_statistics.server_service_ms","typeLabel":"number | null"}},"type":"object","title":"RetrieverExecutionStatistics","description":"REQUIRED. Per-stage execution statistics including timing, document counts, cache hit rates, and stage-specific metrics. Use this to understand retriever performance and identify bottlenecks.","uniqueKey":"stage_statistics","typeLabel":"RetrieverExecutionStatistics · object"},"facets":{"oneOf":[{"type":"array","items":{"additionalProperties":true,"type":"object","uniqueKey":"facets.oneOf.0.items.[INDEX]","typeLabel":"object"},"title":"Facets","description":"Facet value-lists + counts computed by the feature_search stage(s), surfaced at the TOP LEVEL for discoverability: each entry is a FacetResult (a facet `key` plus value/count buckets). The same data also appears per-stage under `stage_statistics.stages.\u003cstage>.metadata.facets`; this field is the predictable place a facet consumer looks. When more than one stage computes facets, the last stage's facets are surfaced here. None when no facets were requested.","uniqueKey":"facets.oneOf.0","typeLabel":"Facets · object[]"},{"type":"null","title":"Facets","description":"Facet value-lists + counts computed by the feature_search stage(s), surfaced at the TOP LEVEL for discoverability: each entry is a FacetResult (a facet `key` plus value/count buckets). The same data also appears per-stage under `stage_statistics.stages.\u003cstage>.metadata.facets`; this field is the predictable place a facet consumer looks. When more than one stage computes facets, the last stage's facets are surfaced here. None when no facets were requested.","uniqueKey":"facets.oneOf.1","typeLabel":"null"}],"uniqueKey":"facets","typeLabel":"Facets · object[] | null"},"budget":{"additionalProperties":true,"type":"object","title":"Budget","description":"REQUIRED. This run's usage: credits_used, credits_limit, time_elapsed_ms, time_limit_ms, tokens_used, llm_calls, metering. credits_used is what was charged to this run; a plain text search and a cache hit read 0.0. metering is 'unmetered' where there is no billing path, and credits_used is no price.","examples":[{"credits_used":0,"llm_calls":0,"metering":"metered"}],"uniqueKey":"budget","typeLabel":"Budget · object"},"cached_at":{"oneOf":[{"type":"number","title":"Cached At","description":"OPTIONAL. Unix timestamp (seconds) when this result was cached. Present only when the full response was served from the retriever-level cache. Compute freshness as: time.time() - cached_at.","uniqueKey":"cached_at.oneOf.0","typeLabel":"number"},{"type":"null","title":"Cached At","description":"OPTIONAL. Unix timestamp (seconds) when this result was cached. Present only when the full response was served from the retriever-level cache. Compute freshness as: time.time() - cached_at.","uniqueKey":"cached_at.oneOf.1","typeLabel":"null"}],"uniqueKey":"cached_at","typeLabel":"number | null"},"completeness":{"oneOf":[{"type":"object","title":"Completeness","description":"Completeness by layer, so the claims never contradict: `embeddings` is complete, complete_after_retry or partial (some query embeddings were dropped); `page` is complete, not_known_complete (a retried stage answered an empty page) or the execution status; `overall` is complete only when both layers are. Filled in when the response is written.","additionalProperties":{"type":"string","uniqueKey":"completeness.oneOf.0.additionalProperties","typeLabel":"string"},"uniqueKey":"completeness.oneOf.0","typeLabel":"Completeness · object"},{"type":"null","title":"Completeness","description":"Completeness by layer, so the claims never contradict: `embeddings` is complete, complete_after_retry or partial (some query embeddings were dropped); `page` is complete, not_known_complete (a retried stage answered an empty page) or the execution status; `overall` is complete only when both layers are. Filled in when the response is written.","uniqueKey":"completeness.oneOf.1","typeLabel":"null"}],"uniqueKey":"completeness","typeLabel":"Completeness · object | null"},"warnings":{"items":{"type":"string","uniqueKey":"warnings.items.[INDEX]","typeLabel":"string"},"type":"array","title":"Warnings","description":"OPTIONAL. Execution warnings that did not prevent results but indicate potential issues — e.g. filtering on unindexed fields. Empty when there are no warnings.","uniqueKey":"warnings","typeLabel":"string[]"},"interpretation":{"oneOf":[{"type":"object","title":"Interpretation","description":"OPTIONAL. What the platform UNDERSTOOD from your request, so a correction or relaxation is visible instead of silent. Keys: provided_input_keys (the inputs you sent), inferred_inputs (schema defaults applied because you omitted the field — name: value), ignored_input_keys (inputs nothing in the pipeline consumes; they had no effect), and relaxations (filter conditions removed because the input they reference was not provided — each names the field, the template, and where it sat; the result set is BROADER than the literal filter when this is non-empty). The literal query text is used AS PROVIDED — no spell-correction step exists; semantic search is typo-tolerant by embedding, which this block does not alter. Stage-level rewrites (e.g. query_expand) report their expansions in stage_statistics.stages.\u003cstage>.metadata.","additionalProperties":true,"uniqueKey":"interpretation.oneOf.0","typeLabel":"Interpretation · object"},{"type":"null","title":"Interpretation","description":"OPTIONAL. What the platform UNDERSTOOD from your request, so a correction or relaxation is visible instead of silent. Keys: provided_input_keys (the inputs you sent), inferred_inputs (schema defaults applied because you omitted the field — name: value), ignored_input_keys (inputs nothing in the pipeline consumes; they had no effect), and relaxations (filter conditions removed because the input they reference was not provided — each names the field, the template, and where it sat; the result set is BROADER than the literal filter when this is non-empty). The literal query text is used AS PROVIDED — no spell-correction step exists; semantic search is typo-tolerant by embedding, which this block does not alter. Stage-level rewrites (e.g. query_expand) report their expansions in stage_statistics.stages.\u003cstage>.metadata.","uniqueKey":"interpretation.oneOf.1","typeLabel":"null"}],"uniqueKey":"interpretation","typeLabel":"Interpretation · object | null"},"error":{"oneOf":[{"type":"string","title":"Error","description":"OPTIONAL. Retriever-level error message if execution failed. Only present when status='failed'. Contains human-readable error description to help diagnose the failure. Check stage_statistics for stage-specific errors.","example":"Retriever execution failed: Collection not found","uniqueKey":"error.oneOf.0","typeLabel":"string"},{"type":"null","title":"Error","description":"OPTIONAL. Retriever-level error message if execution failed. Only present when status='failed'. Contains human-readable error description to help diagnose the failure. Check stage_statistics for stage-specific errors.","example":"Retriever execution failed: Collection not found","uniqueKey":"error.oneOf.1","typeLabel":"null"}],"uniqueKey":"error","typeLabel":"string | null"},"optimization_applied":{"type":"boolean","title":"Optimization Applied","description":"OPTIONAL. Whether automatic pipeline optimizations were applied before execution. Mixpeek automatically optimizes retrieval pipelines for performance by reordering stages, merging operations, and pushing work to the database layer. Optimizations preserve logical equivalence - you get the same results, just faster. When true, see optimization_summary for details about what changed.","default":false,"examples":[true,false],"uniqueKey":"optimization_applied","typeLabel":"boolean"},"optimization_summary":{"oneOf":[{"type":"object","title":"Optimization Summary","description":"OPTIONAL. Summary of pipeline optimizations applied before execution. Only present when optimization_applied=true. Contains: - original_stage_count: Number of stages in your original pipeline - optimized_stage_count: Number of stages after optimization - optimization_time_ms: Time spent optimizing (typically \u003c100ms) - rules_applied: List of optimization rules that fired - stage_reduction_pct: Percentage reduction in stage count Use this to understand how the optimizer improved your pipeline. See OptimizationRuleType enum for detailed rule descriptions.","example":{"optimization_time_ms":8.2,"optimized_stage_count":3,"original_stage_count":5,"rules_applied":["push_down_filters","group_by_push_down"],"stage_reduction_pct":40},"additionalProperties":true,"uniqueKey":"optimization_summary.oneOf.0","typeLabel":"Optimization Summary · object"},{"type":"null","title":"Optimization Summary","description":"OPTIONAL. Summary of pipeline optimizations applied before execution. Only present when optimization_applied=true. Contains: - original_stage_count: Number of stages in your original pipeline - optimized_stage_count: Number of stages after optimization - optimization_time_ms: Time spent optimizing (typically \u003c100ms) - rules_applied: List of optimization rules that fired - stage_reduction_pct: Percentage reduction in stage count Use this to understand how the optimizer improved your pipeline. See OptimizationRuleType enum for detailed rule descriptions.","example":{"optimization_time_ms":8.2,"optimized_stage_count":3,"original_stage_count":5,"rules_applied":["push_down_filters","group_by_push_down"],"stage_reduction_pct":40},"uniqueKey":"optimization_summary.oneOf.1","typeLabel":"null"}],"uniqueKey":"optimization_summary","typeLabel":"Optimization Summary · object | null"},"learned_fusion_context":{"oneOf":[{"type":"object","title":"Learned Fusion Context","description":"OPTIONAL. Learned fusion context when the retriever uses learned fusion (auto-tune) for weight optimization. Contains: context_key (resolution level used), sampled_weights (per-feature weight vector), feature_uris (features that were weighted), effective_exploration (Thompson sampling exploration rate), context_level ('personal', 'segment', or 'global'). Only present when learned fusion is active on this retriever.","additionalProperties":true,"uniqueKey":"learned_fusion_context.oneOf.0","typeLabel":"Learned Fusion Context · object"},{"type":"null","title":"Learned Fusion Context","description":"OPTIONAL. Learned fusion context when the retriever uses learned fusion (auto-tune) for weight optimization. Contains: context_key (resolution level used), sampled_weights (per-feature weight vector), feature_uris (features that were weighted), effective_exploration (Thompson sampling exploration rate), context_level ('personal', 'segment', or 'global'). Only present when learned fusion is active on this retriever.","uniqueKey":"learned_fusion_context.oneOf.1","typeLabel":"null"}],"uniqueKey":"learned_fusion_context","typeLabel":"Learned Fusion Context · object | null"},"created_at":{"type":"string","format":"date-time","title":"Created At","description":"Timestamp when execution began","uniqueKey":"created_at","typeLabel":"string\u003cdate-time>"},"completed_at":{"oneOf":[{"type":"string","title":"Completed At","description":"Timestamp when execution finished","format":"date-time","uniqueKey":"completed_at.oneOf.0","typeLabel":"string\u003cdate-time>"},{"type":"null","title":"Completed At","description":"Timestamp when execution finished","uniqueKey":"completed_at.oneOf.1","typeLabel":"null"}],"uniqueKey":"completed_at","typeLabel":"string\u003cdate-time> | null"},"current_stage":{"oneOf":[{"type":"string","title":"Current Stage","description":"Stage currently running when execution in-flight","uniqueKey":"current_stage.oneOf.0","typeLabel":"string"},{"type":"null","title":"Current Stage","description":"Stage currently running when execution in-flight","uniqueKey":"current_stage.oneOf.1","typeLabel":"null"}],"uniqueKey":"current_stage","typeLabel":"string | null"},"stages_completed":{"type":"integer","minimum":0,"title":"Stages Completed","description":"Number of stages finished so far","default":0,"uniqueKey":"stages_completed","typeLabel":"integer"},"total_stages":{"type":"integer","minimum":0,"title":"Total Stages","description":"Total stages configured","default":0,"uniqueKey":"total_stages","typeLabel":"integer"},"documents_retained":{"type":"boolean","title":"Documents Retained","description":"Whether the documents this run returned are stored with it. FALSE means `documents` is empty because nothing was persisted, NOT because the query matched nothing: a stored execution keeps the statistics and not the result rows. Read `total_returned` below for what the run actually returned. This exists because an empty `documents` on a completed run is otherwise indistinguishable from a real empty result, and the same reasoning is already written down one field over, where `documents` says the ABSENCE of `results` must not be read as zero results.","default":false,"uniqueKey":"documents_retained","typeLabel":"boolean"},"total_returned":{"oneOf":[{"type":"integer","title":"Total Returned","description":"Documents this run returned to the caller, as recorded when it ran. Present on a stored read even when `documents` is empty and `documents_retained` is false, which is what lets a caller tell 'returned 3, not retained' from 'matched nothing'. None when the stored record does not carry it.","uniqueKey":"total_returned.oneOf.0","typeLabel":"integer"},{"type":"null","title":"Total Returned","description":"Documents this run returned to the caller, as recorded when it ran. Present on a stored read even when `documents` is empty and `documents_retained` is false, which is what lets a caller tell 'returned 3, not retained' from 'matched nothing'. None when the stored record does not carry it.","uniqueKey":"total_returned.oneOf.1","typeLabel":"null"}],"uniqueKey":"total_returned","typeLabel":"integer | null"},"trace_id":{"oneOf":[{"type":"string","title":"Trace Id","description":"Trace identifier recorded when this execution ran. Quote it to Mixpeek support to find the request's trace. Null for executions recorded before trace ids were stored.","uniqueKey":"trace_id.oneOf.0","typeLabel":"string"},{"type":"null","title":"Trace Id","description":"Trace identifier recorded when this execution ran. Quote it to Mixpeek support to find the request's trace. Null for executions recorded before trace ids were stored.","uniqueKey":"trace_id.oneOf.1","typeLabel":"null"}],"uniqueKey":"trace_id","typeLabel":"string | null"}},"type":"object","required":["execution_id","status"],"title":"ExecutionDetail","description":"Alias wrapper for execution detail documentation.","uniqueKey":"","typeLabel":"ExecutionDetail · object"},"examples":{"Example":{"title":"Example","value":{"execution_id":"exec_abc123def456","status":"completed","retriever_id":"ret_abc123def456","degraded":[{"resource":"taxonomy","reason":"not found in namespace","next_step":"Fix the taxonomy_id on the stage, or create the taxonomy.","id":"tax_abc123","stage":"\u003cstring>"}],"limits":[{"name":"final_top_k","requested":2000,"applied":500,"ceiling":500,"stage":"\u003cstring>"}],"documents":[{"document_id":"doc_123","payload":{"metadata":{"category":"AI"},"text":"Sample content"},"score":0.95},{"document_id":"doc_456","payload":{"metadata":{"category":"ML"},"text":"Another document"},"score":0.88},{"document_id":"moment_vid_A_12000","moments":[{"document_ids":["frame_41","frame_42","frame_43"],"duration_ms":6500,"end_ms":18500,"match_count":3,"score":0.91,"start_ms":12000}],"parent_id":"vid_A","score":0.91}],"results":[{}],"pagination":{"has_next":false,"limit":25,"method":"cursor","returned":25,"total":25},"stage_statistics":{"stages":{},"total_time_ms":0,"credits_used":0,"server_service_ms":1},"facets":[{}],"budget":{"credits_used":0,"llm_calls":0,"metering":"metered"},"cached_at":123,"completeness":{},"warnings":["\u003cstring>"],"interpretation":{},"error":"Retriever execution failed: Collection not found","optimization_applied":true,"optimization_summary":{"optimization_time_ms":8.2,"optimized_stage_count":3,"original_stage_count":5,"rules_applied":["push_down_filters","group_by_push_down"],"stage_reduction_pct":40},"learned_fusion_context":{},"created_at":"2023-11-07T05:31:56Z","completed_at":"2023-11-07T05:31:56Z","current_stage":"\u003cstring>","stages_completed":0,"total_stages":0,"documents_retained":false,"total_returned":123,"trace_id":"\u003cstring>"}}},"exampleType":"generated"}},"exampleType":"generated"},"d0b8861b-7033-469e-bb8f-460cfb43efe1":{"description":"Bad Request","content":{"application/json":{"schema":{"properties":{"status":{"type":"integer","title":"Status","description":"HTTP status code for this error","isRequired":true,"uniqueKey":"status","typeLabel":"integer"},"error":{"properties":{"message":{"type":"string","title":"Message","description":"Human-readable error message","isRequired":true,"uniqueKey":"error.message","typeLabel":"string"},"type":{"type":"string","title":"Type","description":"Stable error type identifier (machine-readable)","isRequired":true,"uniqueKey":"error.type","typeLabel":"string"},"code":{"oneOf":[{"type":"string","title":"Code","description":"Fine-grained error code for programmatic handling (e.g., namespace_name_taken, feature_extractor_not_found). Present only when consumers may need to branch on a specific error condition.","uniqueKey":"error.code.oneOf.0","typeLabel":"string"},{"type":"null","title":"Code","description":"Fine-grained error code for programmatic handling (e.g., namespace_name_taken, feature_extractor_not_found). 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/v1/organizations/webhooks/{identifier}","title":"Delete Webhook","href":"/api-reference/webhooks/delete-webhook"}]},{"group":"Alerts","pages":[{"openapi":"post /v1/alerts","title":"Create Alert","href":"/api-reference/alerts/create-alert"},{"openapi":"get /v1/alerts/{alert_identifier}","title":"Get Alert","href":"/api-reference/alerts/get-alert"},{"openapi":"patch /v1/alerts/{alert_identifier}","title":"Update Alert","href":"/api-reference/alerts/update-alert"},{"openapi":"post /v1/alerts/list","title":"List Alerts","href":"/api-reference/alerts/list-alerts"},{"openapi":"delete /v1/alerts/{alert_identifier}","title":"Delete Alert","href":"/api-reference/alerts/delete-alert"},{"openapi":"get /v1/alerts/{alert_identifier}/executions","title":"List Alert Executions","href":"/api-reference/alerts/list-alert-executions"},{"openapi":"get /v1/alerts/executions/{execution_id}","title":"Get Alert Execution","href":"/api-reference/alerts/get-alert-execution"},{"openapi":"get 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/v1/organizations/billing/portal","title":"Open Billing Portal","href":"/api-reference/organization-billing/open-billing-portal"},{"openapi":"get /v1/organizations/billing/subscription","title":"Get Subscription Status","href":"/api-reference/organization-billing/get-subscription-status"},{"openapi":"post /v1/organizations/billing/subscription/cancel","title":"Cancel Subscription","href":"/api-reference/organization-billing/cancel-subscription"},{"openapi":"post /v1/organizations/billing/apply-promo","title":"Apply Promo","href":"/api-reference/organization-billing/apply-promo"},{"openapi":"post /v1/organizations/billing/redeem-promo","title":"Redeem Promo","href":"/api-reference/organization-billing/redeem-promo"}]},{"group":"Usage","pages":[{"openapi":"get /v1/organizations/usage","title":"Get Org Usage","href":"/api-reference/organization-usage/get-org-usage"},{"openapi":"get /v1/organizations/api-keys/{key_id}/usage","title":"Get Api Key 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