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doom

vc.doomscore/doom

Obsolescence-risk screening: predicts if a product gets absorbed into core LLM-platform features.

This endpoint completed initialize and tools/list. No tool was called.

Rank
#1531
Score
82
Tool tokens
1,074
Tools
11

Tools

Token cost is the o200k count of the tools list JSON, including schemas, before any tool is called.

  • doom_prep

    Prep Gate. Validates config + confirms the roadmap-signals KB is within the staleness threshold. Fails closed if stale. Call before assess_product.

  • assess_product

    Assess one product's obsolescence risk. Provide exactly ONE of description/url/pitch_company_id/deck_text. Async — returns job_id; poll get_assessment. Defaults to deep mode. Optionally pass requested

  • get_assessment

    Poll an assessment job_id. Returns status + the typed assessment when complete. Hard timeout — never hangs on pending.

  • list_assessments

    Recent assessments, filterable by verdict.

  • overview

    Inspectable State. No input. Counts, recent activity, roadmap-signal freshness, health, last calibration run.

  • record_outcome

    Outcome-feedback (learning loop). Record what ACTUALLY happened to a previously-assessed product as a labeled calibration case; the weekly recalibration folds it into the gate. Operator-only (requires

  • list_signal_candidates

    KB-refresh review queue. List auto-scraped candidate roadmap signals (default: pending). Operator-only. Approve/reject with review_signal_candidate; the weekly cron signs approved ones into the live K

  • review_signal_candidate

    Approve or reject a KB-refresh candidate signal. Operator-only. Approved candidates are signed (Ed25519) into the live roadmap_signals KB by the next refresh run; rejected ones are dropped. Controls w

  • list_kb_signals

    List the active (signed, grounding) roadmap signals with their ids — use to find a signal_id to retire. Operator-only.

  • retire_signal

    UNLEARN a KB signal that became false/obsolete (e.g. a rumored feature cancelled, or a signal no longer predictive). Soft-deletes it (active=false) so it stops grounding assessments immediately — reco

  • supersede_calibration_case

    UNLEARN a calibration case whose label turned out wrong or obsolete — retires it (active=false) so the recalibration gate stops scoring it. To correct, retire the wrong case then record_outcome the ri

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