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Returns BOTH w"},{"name":"compute_lrs_composite","description":"Compose lrs_final_100 (0-100) + label (WEAK/EMERGING/GOOD/STRONG/ELITE) + leaderboard_eligible flag + sub-percent breakdown. Weights: sv 0.25, sp 0.30, barrier "},{"name":"compute_monetization","description":"Compute monetization_score (0-21) + label + has_pricing_anchors from pricing anchors + model tags + deal cycle hint."},{"name":"compute_multi_source_tam","description":"Multi-source TAM consensus. Pass 2-3 sources of market-size text. Optional `estimateYear` per source — when supplied, the result includes yearRange and a hasSta"},{"name":"compute_ppc_spend_signal","description":"Wave 5 N.4 — compute ppc_spend_score (0-10) + label (STRONG/CONFIRMED/WEAK/ABSENT) + market_saturation from PPC traffic projection (avgCpcUsd, totalMonthlySpend"},{"name":"compute_search_velocity_v2","description":"Search velocity (0-25) v2 — canonical 0.40*volume + 0.30*trend + 0.20*intent + 0.10*geo. 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Catches the math-drift class of failures (customers × ARPU ≠ revenue), enforce"}],"toolCount":21,"serverName":"ideaudit","capabilities":["tools"],"serverVersion":"0.1.0","protocolVersion":"2025-06-18"}},{"at":"2026-09-07T17:21:44.630Z","kind":"mcp_initialize","ok":true,"httpStatus":200,"latencyMs":503,"error":null,"detail":{"tools":[{"name":"get_started","description":"What this server is, what it will do for you right now without an account, and what an account adds. 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CRITICAL: externalVolumeNorm MUST come from external sources (Amazon BS"},{"name":"compute_search_velocity","description":"Compute search_velocity_score (0-25) from Trends timeline values + rising queries count + geo region count."},{"name":"compute_social_pain","description":"Compute social_pain_score (0-30) + total mentions + dominant perspective (business/consumer/trend/mixed)."},{"name":"compute_urgency_composite","description":"Compose composite_urgency_score (0-10) + badge (LOW/MEDIUM/HIGH/VERY_HIGH/EXTREME) from 3 sub-scores: news, pain, hiring."},{"name":"compute_x_signal","description":"Compute x_signal_score (0-20) + recency share + positivity rate from X/Twitter mention counts."},{"name":"derive_kill_criteria","description":"Derive a falsifiable, data-driven list of kill criteria from upstream signals — the outputs of validate_unit_economics and compute_dealbreakers_v2, plus an ICP "},{"name":"validate_unit_economics","description":"Sanity-check a unit-economics row before publishing it in a business-model slide. 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Same input as compute_dealbreakers_v2 — returns substrate verdict (no-observer baseline) + crossed verdict (when observer suppli"},{"name":"compute_dealbreakers_v2","description":"Methodology v2 dealbreakers — stage-aware weights + confidence-weighted lens scoring + risk-asymmetric verdict (GO requires score≥80 AND zero red flags AND avg "},{"name":"compute_funding_momentum","description":"Compute funding_momentum_score (0-10) + badge (HOT/WARM/COOL/COLD) from tier-weighted funding-article hit counts."},{"name":"compute_hiring_demand","description":"Compute hiring_demand_score (0-10) from priority-weighted ATS site hit counts (use registries/hiring-sources for priorities)."},{"name":"compute_lrs_composite_v2","description":"LRS composite v2 — 6 components (SV, Pain, Barrier, Monet, X-Signal, Budget-Proof). Default Python weights 0.18/0.22/0.18/0.14/0.18/0.10 sum=1.0. Returns BOTH w"},{"name":"compute_lrs_composite","description":"Compose lrs_final_100 (0-100) + label (WEAK/EMERGING/GOOD/STRONG/ELITE) + leaderboard_eligible flag + sub-percent breakdown. Weights: sv 0.25, sp 0.30, barrier "},{"name":"compute_monetization","description":"Compute monetization_score (0-21) + label + has_pricing_anchors from pricing anchors + model tags + deal cycle hint."},{"name":"compute_multi_source_tam","description":"Multi-source TAM consensus. Pass 2-3 sources of market-size text. Optional `estimateYear` per source — when supplied, the result includes yearRange and a hasSta"},{"name":"compute_ppc_spend_signal","description":"Wave 5 N.4 — compute ppc_spend_score (0-10) + label (STRONG/CONFIRMED/WEAK/ABSENT) + market_saturation from PPC traffic projection (avgCpcUsd, totalMonthlySpend"},{"name":"compute_search_velocity_v2","description":"Search velocity (0-25) v2 — canonical 0.40*volume + 0.30*trend + 0.20*intent + 0.10*geo. CRITICAL: externalVolumeNorm MUST come from external sources (Amazon BS"},{"name":"compute_search_velocity","description":"Compute search_velocity_score (0-25) from Trends timeline values + rising queries count + geo region count."},{"name":"compute_social_pain","description":"Compute social_pain_score (0-30) + total mentions + dominant perspective (business/consumer/trend/mixed)."},{"name":"compute_urgency_composite","description":"Compose composite_urgency_score (0-10) + badge (LOW/MEDIUM/HIGH/VERY_HIGH/EXTREME) from 3 sub-scores: news, pain, hiring."},{"name":"compute_x_signal","description":"Compute x_signal_score (0-20) + recency share + positivity rate from X/Twitter mention counts."},{"name":"derive_kill_criteria","description":"Derive a falsifiable, data-driven list of kill criteria from upstream signals — the outputs of validate_unit_economics and compute_dealbreakers_v2, plus an ICP "},{"name":"validate_unit_economics","description":"Sanity-check a unit-economics row before publishing it in a business-model slide. Catches the math-drift class of failures (customers × ARPU ≠ revenue), enforce"}],"package":null},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"mcp_registry","key":"studio.inite/ideaudit-tools","url":"https://registry.modelcontextprotocol.io/v0/servers/studio.inite%2Fideaudit-tools","firstSeenAt":"2026-09-07T09:23:06.245Z","fetchedAt":"2026-09-07T09:23:06.245Z","normalizedAt":"2026-09-07T09:23:06.245Z"}]},"firstSeenAt":"2026-09-07T09:23:06.245Z","updatedAt":"2026-09-08T12:45:48.134Z"}