abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Analyze an ordered temporal trajectory, including persistence/narrowing/widening tests, regime changes, inflection points, and optional extrapolation with uncertainty. Entity type, window, and forecast mode are parameters.
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Analyze an ordered temporal trajectory, including persistence/narrowing/widening tests, regime changes, inflection points, and optional extrapolation with uncertainty. Entity type, window, and forecast mode are parameters.
name: analyze-temporal-trajectory description: "Analyze an ordered temporal trajectory, including persistence/narrowing/widening tests, regime changes, inflection points, and optional extrapolation with uncertainty. Entity type, window, and forecast mode are parameters."
Analyze an ordered temporal trajectory for persistence, narrowing or widening, regime changes, inflection points, and optional uncertain extrapolation.
required: [time_indexed_records, entity_type, metric, window] optional: [forecast_mode, uncertainty_model, grouping_keys, event_markers] constraints: [records are ordered by time; metric direction is explicit; extrapolation is optional and must carry uncertainty]
1. Normalize records by entity, metric, and time index and identify the observed frontier. 2. Fit the caller-selected trajectory representation and inspect residuals and regime changes. 3. Detect inflection points, persistence, narrowing, widening, or stable segments. 4. If forecast mode is enabled, extrapolate with confidence bands and explicit caveats. 5. Return trajectory data, regime annotations, and uncertainty.
If the trajectory suggests an abrupt regime change rather than smooth variation, consider `detect-breakpoint` as the next tactic.
produces: [trajectory_series, fitted_model, inflection_points, regime_labels, forecast, uncertainty_notes] delta_fields: [findings, evidence_updates, decisions, uncertainties]
The caller must provide the entity schema, time window, metric and direction, grouping keys, frontier rule, model/forecast mode, uncertainty method, and event markers. For persistence testing provide the requested windows; for filing or SOTA analysis provide dates and comparable score records.
Reject unsorted or incomparable records, forecasts without uncertainty, or regime labels unsupported by the observed series. Do not infer a future milestone when the metric definition changes across time.
| source | physical line | kind | source criterion | |---|---:|---|---| | knowledge-acquisition/progress-curve-construction | 46 | numeric | Minimum yield: 2 progress curves, 3 years history, 1 inflection point, 2 headroom estimates. | | deep-insight/temporal-sensitivity-testing | 12 | structural | Test persistence across the caller-supplied time windows and classify narrowing, widening, or stable. |
The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.
Repo: yogsoth-ai/de-anthropocentric-research-engine
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