studio.inite/ideaudit-tools

up checked 2026-11-11T06:40:30.548Z

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Publisher-provided title

ideaudit

Publisher-provided description

The scoring behind an audit allowed to say no. Twenty deterministic tools, offline, no account.

Summary by lookupd

Offline deterministic scoring tools that rate startup ideas on barriers, demand, funding, hiring and urgency, with no account required.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http ideaudit-tools https://api.inite.studio/mcp

Claude Code, npm package (stdio)

claude mcp add ideaudit-tools -- npx -y @inite/ideaudit-tools

Codex, remote (streamable-http)

codex mcp add ideaudit-tools --url https://api.inite.studio/mcp

Codex, npm package (stdio)

codex mcp add ideaudit-tools -- npx -y @inite/ideaudit-tools

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "ideaudit-tools": {
      "url": "https://api.inite.studio/mcp"
    }
  }
}

Cursor, npm package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "ideaudit-tools": {
      "command": "npx",
      "args": [
        "-y",
        "@inite/ideaudit-tools"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (21 tools)

Publisher-provided text

• get_started What this server is, what it will do for you right now without an account, and what an account adds. Call this first if you have no API key — it answers in one
• compute_barrier Compute barrier_score (0-24) + label (PRISTINE/OPEN/COMPETITIVE/CROWDED) from competitor counts + SERP noise fraction.
• compute_budget_proof Compute budget_proof_score (0-10) + label (STRONG/CONFIRMED/WEAK/ABSENT) + purchase_intent_pct from pricing hits + review-site hits + intent mentions.
• compute_build_complexity Compute build_complexity_penalty (0-10, higher = worse) + per-factor breakdown. Hard tags: ml/realtime/blockchain/hardware/compliance/custom-ai/regulated/on-dev
• compute_collection_scores Compute 12 deterministic collection scores (0-100) + badges + death reason for an enriched idea. Pure math. No external calls.
• compute_crossed_matrix Crossed-product audit explorer. Same input as compute_dealbreakers_v2 — returns substrate verdict (no-observer baseline) + crossed verdict (when observer suppli
• compute_dealbreakers_v2 Methodology v2 dealbreakers — stage-aware weights + confidence-weighted lens scoring + risk-asymmetric verdict (GO requires score≥80 AND zero red flags AND avg
• compute_funding_momentum Compute funding_momentum_score (0-10) + badge (HOT/WARM/COOL/COLD) from tier-weighted funding-article hit counts.
• compute_hiring_demand Compute hiring_demand_score (0-10) from priority-weighted ATS site hit counts (use registries/hiring-sources for priorities).
• compute_lrs_composite_v2 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
• compute_lrs_composite 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
• compute_monetization Compute monetization_score (0-21) + label + has_pricing_anchors from pricing anchors + model tags + deal cycle hint.
• compute_multi_source_tam 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
• compute_ppc_spend_signal Wave 5 N.4 — compute ppc_spend_score (0-10) + label (STRONG/CONFIRMED/WEAK/ABSENT) + market_saturation from PPC traffic projection (avgCpcUsd, totalMonthlySpend
• compute_search_velocity_v2 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
• compute_search_velocity Compute search_velocity_score (0-25) from Trends timeline values + rising queries count + geo region count.
• compute_social_pain Compute social_pain_score (0-30) + total mentions + dominant perspective (business/consumer/trend/mixed).
• compute_urgency_composite Compose composite_urgency_score (0-10) + badge (LOW/MEDIUM/HIGH/VERY_HIGH/EXTREME) from 3 sub-scores: news, pain, hiring.
• compute_x_signal Compute x_signal_score (0-20) + recency share + positivity rate from X/Twitter mention counts.
• derive_kill_criteria 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
• validate_unit_economics 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

Details

• Version: 1.1.0
• Transports: streamable-http, stdio
• Uptime (7 days): 100%
• Median latency: 700 ms
• First indexed: 2026-11-01T10:09:04.209Z
• Last seen in registry: 2026-11-01T10:09:04.229Z
• Repository: https://github.com/inite-ai/ideaudit-mcp
• Website: https://inite.studio

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