拿 10 个有证据的真实需求，逐个喂给 53 个算法里最可能的那些，真调用、真拿输出。判定标准不是「返回了 200」，而是「输出能不能直接进下一步」。每个配对都换一组参数再调一次——参数不生效的单列在灰名单/废名单。
POST http://127.0.0.1:8983/algo/<id>；公网入口 /algo53/。全程只读调用，未改任何服务、cron、nginx、站点页面或数据结构，未对外发布内容。| 入口 | 在哪 | 调哪个算法 | 打开 |
|---|---|---|---|
| 风险列 | /internal/geo/ 「缺口 Top 50」表右侧一列 | risk_grade | 打开 → |
| 值不值得做 | 同上，每行一颗按钮（弹窗填 12 项） | value_assessment_v123 | 打开 → |
| 立项闸门 | /internal/hit/gate.html（6 问，人话问法） | demand_verify | 打开 → |
| 投放日报判色器 | /internal/hit/funnel.html（12 指标，一行可粘贴） | funnel_evaluate | 打开 → |
四个入口都是真调用：点一下 → 调度器算 → 结果回填到页面上；每次调用在 calls.jsonl 留一行，下面的埋点区块实时统计。
| 算法 | 接住的需求 | 接法（挂到哪） | 要补什么 | 埋点 | 预估价值 |
|---|---|---|---|---|---|
| value_assessment_v123 | D2 上海·中医馆 空位是不是真需求 / D9 AI 换装卖点 | /internal/geo/ 每行城市×行业加一颗「值不值得做」按钮；产品立项前先跑一次 | 产品名 + 描述 + 功能/情绪/资产三组评分（部分可从 geo 台账换算） | dispatcher 目前无访问日志（log_message 被关掉），要先加一行调用计数 | 高：直接决定「做/不做」，省掉一轮人工评审 |
| demand_verify | D2 上海·中医馆 / D9 分身引擎卖点 | 投放闸门 + 立项闸门；挂到 /algo53/ 之后由运营手填 5 题 | 必须用 answers 嵌套 dict 传 q1~q6，顶层键不生效 | 同上；另需记录 answer 组合以便复算 | 高：200 元级投放前的一道闸，避免把钱花在伪需求上 |
| funnel_evaluate | D5/D6/D8 三条渠道首测 | 投放日报 / 周报页；每投一条就填一次 | data dict 内必须含 platform/title + 12 个逐字指标名，缺一个即「无数据」 | 同上；建议记录每次判色结果形成时间序列 | 高：把「CPC 便宜」和「有没有成交」分开看，正是报告里最贵的那几个坑 |
| industry_vitality | D2 上海·中医馆 | /internal/geo/ 行业列 + /seo_pages/ 行业页结论块 | 三维评分目前无源数据，要么人工填，要么先接行业台账 | 同上 | 中高：76 个行业页每页一行结论，可被搜索引擎吃到 |
| three_d_profit | D1 北京·KTV | /internal/geo/ 「赛道筛选」列 | 自然属性/复利/刚需三项要靠人工或行业台账赋值（无源数据） | 同上 | 中高：abandon 布尔可直接做红灯 |
| five_dim_gold | D1 北京·KTV | /internal/geo/ 「项目筛选」列 | 同上，五维 0-50 需人工/台账赋值 | 同上 | 中：与三维暴利互补，做评分卡 |
| four_dim_landing | D3 深圳·咖啡店 | 落地可行性页 / 行业诊断页 | 四维 0-25 需人工填 | 同上 | 中：把「想做」翻译成「能不能落地」 |
| business_seven_layers | D4 重庆·健身房 | 诊断报告的收尾总表 | 七层 0-100 需人工填 | 同上 | 中：一次性总表，适合交付件 |
| risk_grade | D4 重庆·健身房 | ★ 可立即上线：/internal/geo/ 表加一列「风险」，基准取同行业跨城市均值、趋势取 industry_dir（上行/下行/持平） | 无需补数据——gap_top50.csv 里已有 score / industry_dir | 同上 | 高：这是本批唯一「数据已经躺在硬盘上」的接法 |
| nine_axis_locator | D10 分身引擎推广路径 | 免费入口第一屏 / 分身引擎出口 | 九轴评分需问答采集；耗时 664ms 属可接受 | 同上；页面侧记录「进第一屏→完成九轴」转化 | 中高：免费入口的转化钩子 |
| 需求 | 算法 | 判定 | 理由 |
|---|---|---|---|
| D1 北京·KTV 空档能不能开 | five_dim_gold | 有用 | 五维各 50 分 → 总 150/250、长期价值分 46.2、等级 B，并逐条给出短板建议。可整块塞进项目筛选页。 |
| D1 北京·KTV 空档能不能开 | pure_compound_six | 有用 | 六维各 5 分 → 复利指数 576/15625、has_zero 闸门、短板清单。与三维暴利互补（一个看赛道、一个看模型）。 |
| D1 北京·KTV 空档能不能开 | three_d_profit | 有用 | 输入三个 0-3 评分 → 输出暴利指数 12/27、暴利率 44.4%、组合类型「一高两中」、abandon 布尔闸门。相乘关系可解释，abandon=false 时可直接当「可以往下走」，true 时可直接砍。 |
| D10 分身引擎产出推广路径（重庆·健身房小老板） | nine_axis_locator | 有用 | 九轴雷达 + 坐标 + 画像，耗时 664ms（本批唯一偏慢的）。可作免费入口的第一屏。 |
| D10 分身引擎产出推广路径（重庆·健身房小老板） | overlay_matching | 废 | 机会库只有 G001 跨领域合作 / G002 多元发展 两条，quadrant 恒为「综合型」；把坐标从 (5,5,5,5,5) 换成 (1,1,1,1,1) 也只把分数从 70.0 改到 67.3。这不是匹配，是两行常量。 |
| D10 分身引擎产出推广路径（重庆·健身房小老板） | path_library | 有用 | 词表必须逐字命中精灵技能表：用 短视频/拍摄/剪辑/运营/社群 → 短视频精灵 1.0、社群精灵 0.67；换成 健身教练/门店运营 → 全部回落 0.3、输出看起来像废。对齐词表后可直接出路径。 |
| D2 上海·中医馆 是不是真需求 | demand_verify | 有用 | 契约必须用 answers 嵌套 dict（顶层 q2_searched 等键会被忽略，返回恒 0 的「伪需求」）。改对后：行为 25 + 承诺 10.3 = 35.3 → 🟠伪需求嫌疑（低）；对照 95.5 → 🟢真需求（高）。是可直接当投放闸门用的分级。 |
| D2 上海·中医馆 是不是真需求 | industry_vitality | 有用 | 三维加权 → 46 分、🟡数据可替代型。壁垒给到 70 仍被拉回「可替代」，说明它真的在算权重而不是念稿。可作行业页结论。 |
| D2 上海·中医馆 是不是真需求 | value_assessment_v123 | 有用 | V1 0.94 / V2 0.88 / V3 0.80 + 自动识别「基础设施模型」+ V_total + value_type，直接回答「这东西值不值得做」。输入稍有不同分数就变，不是摆设。 |
| D3 深圳·咖啡店 落地可行性 | four_dim_landing | 有用 | 资金/时间/能力/风险各 25 → 落地指数 60、B 级，并输出逐维「需补强」+ 追问句。可直接进落地评估页。 |
| D3 深圳·咖啡店 落地可行性 | pool_theory_eval | 勉强 | 数据模式算得干净（净流 150000、结余率 75%、象限「有隐患」🟡）。但阈值偏激进：结余率 10% 就判「危急/极高风险」，而满配也只到「有隐患」——没有 🟢 档。结论色不能直接给用户看。 |
| D3 深圳·咖啡店 落地可行性 | six_line_five_color | 有用 | 六维分随 user_data 真变（32岁/餐饮店长 → 时间自由度 60、资金 30、技能 70；55岁/退休 → 另一组），输出颜色 + 标签。可作画像卡。 |
| D4 重庆·健身房 风险等级 | business_seven_layers | 有用 | 七层各 100 分 → 逐层 A/B 级 + 总分 + 短板 + 建议。适合当「老板成熟度」总表。 |
| D4 重庆·健身房 风险等级 | risk_grade | 有用 | 偏离率 × 趋势方向 → 四级。趋势 +0.5 → 改善↑/稳定；-0.5 → 恶化↓/高危。GEO 台账已有 score 与方向，属可立即接。 |
| D4 重庆·健身房 风险等级 | water_pool | 有用 | 带容量/满度/复利率 → 覆盖月数 60、资产增长 153000、入水「充足」、出水「健康」。与 pool_theory_eval 是同一套内核的数据版，选一个即可。 |
| D5 民族服饰AI换装 出海首测$200 | funnel_evaluate | 有用 | 必须把数据放进 data dict，且指标名要逐字等于 CTR/展现量增速/完读率/停留时长占比/收藏率/评论率/点赞率/私信咨询率/加群率/关注率/转发率/裂变比——否则 platform 显示「未知」、全部「无数据」。改对后输出五层判色 + 断层定位：坏数据组五层全 🔴迷路，健康对照全 🟢超线。 |
| D5 民族服饰AI换装 出海首测$200 | traffic_target | 勉强 | 必须传 platform_results[关键词][平台名]={credibility,verified,count} 才算得出交叉验证（实测 cross_validation_count 3/2、weighted_rate 0.19/0.08）。但 priority 恒为 P3、eliminated_keywords 恒空，输出接不到「选词」下一步；且平台词表是知乎/小红书/头条/抖音等国内 8 平台，对出海英文词不对口。 |
| D6 多语言方法论内容 newsletter $200 | funnel_evaluate | 有用 | 同 D5；Newsletter 场景五层判色可用，但它是「内容漏斗」口径，不是「刊位 CPM」口径——别拿它替 newsletter 的 $250 CPM 算账。 |
| D6 多语言方法论内容 newsletter $200 | traffic_target | 勉强 | 同 D5：能算交叉验证，但 priority 恒 P3、无淘汰，且国内平台词表与海外 newsletter 场景错配。 |
| D7 生命链平台 海外华人 Reddit冷启动$150 | decay | 有用 | 同 input 下与 water_flow 前几代口径一致，输出「衰减显著，末层仅剩 0.1%」。注意它与 water_flow 高度重复，两个都上等于重复计数。 |
| D7 生命链平台 海外华人 Reddit冷启动$150 | k_factor | 有用 | invites_per_user × conversion_rate → K=0.0013，phase=seed，distance_to_viral=0.9987。一句话结论「K 值过低，优先提升邀请率和转化率」。 |
| D7 生命链平台 海外华人 Reddit冷启动$150 | water_flow | 有用 | 逐代用户数 + 总触达 195.6 + 网络价值 2.723 + 健康度 D。能把「$700 买 180 点击 0 注册」翻译成传播曲线。 |
| D8 TripCurve 行程规划 Google长尾$150 | funnel_evaluate | 有用 | Google 长尾场景判色可用（三组平台三组判色，互不串味），可直接当投放日报的判色器。 |
| D8 TripCurve 行程规划 Google长尾$150 | network_effect | 勉强 | 能算 V=1347.75、临界进度 70%；但 density=6e-06、distance_to_critical 口径未标单位，输出读到人眼会误判。要先补口径说明才能进决策。 |
| D8 TripCurve 行程规划 Google长尾$150 | spread_validation | 废 | score 与 valid_rate 恒为 1.0——好输入坏输入都是 1.0，只有 fraud_flag 会从 clean 翻成 suspect。一个「评分」字段永远满分，等于没有。要留只能只用 fraud_flag/anomalies。 |
| D9 分身引擎卖点 → 验证是否真需求（民族服饰AI换装） | demand_verify | 有用 | 卖点场景：搜索+尝试 → 65.3 🟡潜在需求（中），建议「降低首次尝试门槛」；对照不给行为 → 0 分伪需求。同一算法在两个不同需求上给出不同分级，可用。 |
| D9 分身引擎卖点 → 验证是否真需求（民族服饰AI换装） | motivation_level | 有用 | referral_count=3 → T1 利他分享、70% 终身分成、下一档进度 0.33。可直接挂推广后台。 |
| D9 分身引擎卖点 → 验证是否真需求（民族服饰AI换装） | value_assessment_v123 | 有用 | AI民族服饰换装：V1 0.91 / V2 0.82 / V3 0.80，识别为「基础设施模型」。与中医馆那组分数接近，说明它对不同品类分辨力有限，但输出结构可直接进产品页。 |
POST http://127.0.0.1:8983/algo/five_dim_gold{"five_dim_market_size": 40, "five_dim_competition": 20, "five_dim_profit_model": 35, "five_dim_exec_difficulty": 30, "five_dim_sustainability": 25}{"module_id": "five_dim_gold", "name": "五维金衡商业评估", "dimensions": {"market_size": {"score": 40, "full": 50, "pct": 80.0, "label": "市场规模"}, "competition": {"score": 20, "full": 50, "pct": 40.0, "label": "竞争程度"}, "profit_model": {"score": 35, "full": 50, "pct": 70.0, "label": "盈利模式"}, "exec_difficulty": {"score": 30, "full": 50, "pct": 60.0, "label": "执行难度"}, "sustainability": {"score": 25, "full": 50, "pct": 50.0, "label": "可持续性"}}, "total_score": 150, "total_full": 250, "total_pct": 60.0, "long_term_value_raw": -0.076, "long_term_value_score": 46.2, "grade": "🟡B级", "grade_desc": "一般项目，需补齐短板", "suggestions": ["竞争程度偏低，需确认相对优势是否存在", "可持续性偏低，需构建护城河", "⚠️ 长期价值为负，执行难度与可持续性已侵蚀盈利，需重新评估"], "summary": "五维金衡总分150/250（60%）🟡B级，一般项目，需补齐短板"}{"five_dim_market_size": 10, "five_dim_competition": 45, "five_dim_profit_model": 10, "five_dim_exec_difficulty": 5, "five_dim_sustainability": 45}{"module_id": "five_dim_gold", "name": "五维金衡商业评估", "dimensions": {"market_size": {"score": 10, "full": 50, "pct": 20.0, "label": "市场规模"}, "competition": {"score": 45, "full": 50, "pct": 90.0, "label": "竞争程度"}, "profit_model": {"score": 10, "full": 50, "pct": 20.0, "label": "盈利模式"}, "exec_difficulty": {"score": 5, "full": 50, "pct": 10.0, "label": "执行难度"}, "sustainability": {"score": 45, "full": 50, "pct": 90.0, "label": "可持续性"}}, "total_score": 115, "total_full": 250, "total_pct": 46.0, "long_term_value_raw": -0.054, "long_term_value_score": 47.3, "grade": "🔴C级", "grade_desc": "风险项目，建议放弃", "suPOST http://127.0.0.1:8983/algo/pure_compound_six{"six_dim_frequency": 4, "six_dim_necessity": 2, "six_dim_margin": 4, "six_dim_lifetime": 3, "six_dim_standardization": 3, "six_dim_inheritability": 2}{"module_id": "pure_compound_six", "name": "纯复利六维评估", "dimensions": {"frequency": {"score": 4, "full": 5, "label": "高频程度", "standard": "停用一个月难受=真高频"}, "necessity": {"score": 2, "full": 5, "label": "刚需程度", "standard": "提价50%还买=真刚需"}, "margin": {"score": 4, "full": 5, "label": "毛利空间", "standard": "CAC<30%首单=真高毛利"}, "lifetime": {"score": 3, "full": 5, "label": "终身属性", "standard": "主动续费率>90%=真终身"}, "standardization": {"score": 3, "full": 5, "label": "可标准化", "standard": "离开3个月还能运转=真标准化"}, "inheritability": {"score": 2, "full": 5, "label": "可传承性", "standard": "明天消失不影响=完全可传承"}}, "compound_index": 576.0, "max_possible": 15625, "compound_rate": 3.69, "avg_score": 3.0, "has_zero": false, "zero_conclusion": "", "grade": "🔴C级", "grade_desc": "线性模式，难以形成复利", "grade_emoji": "⚙️", "weaknesses": [{"dim": "necessity", "label": "刚需程度", "score": 2, "level": "需补强"}, {"dim": "inheritability", "label": "可传承性", …[TRUNC]{"six_dim_frequency": 1, "six_dim_necessity": 5, "six_dim_margin": 1, "six_dim_lifetime": 1, "six_dim_standardization": 5, "six_dim_inheritability": 5}{"module_id": "pure_compound_six", "name": "纯复利六维评估", "dimensions": {"frequency": {"score": 1, "full": 5, "label": "高频程度", "standard": "停用一个月难受=真高频"}, "necessity": {"score": 5, "full": 5, "label": "刚需程度", "standard": "提价50%还买=真刚需"}, "margin": {"score": 1, "full": 5, "label": "毛利空间", "standard": "CAC<30%首单=真高毛利"}, "lifetime": {"score": 1, "full": 5, "label": "终身属性", "standard": "主动续费率>90%=真终身"}, "standardization": {"score": 5, "full": 5, "label": "可标准化", "standard": "离开3个月还能运转=真标准化"}, "inheritability": {"score": 5, "full": 5, "label": "可传承性", "standard": "明天消失不影响=完全可传承"}}, "compound_index": 125POST http://127.0.0.1:8983/algo/three_d_profit{"three_d_profit_nature": 2, "three_d_profit_compound": 2, "three_d_profit_need": 3, "three_d_profit_details": "北京KTV: city_demand=0.962 上行 cost=0.8"}{"module_id": "three_d_profit", "name": "三维暴利指数", "nature_score": 2, "compound_score": 2, "need_score": 3, "profit_index": 12, "max_possible": 27, "profit_rate": 44.44, "abandon": false, "abandon_reason": [], "combo_type": "一高两中", "combo_desc": "有机会需运营", "combo_emoji": "📊", "typical": "保健品、订阅电商", "conclusion": "暴利指数 = 2×2×3 = 12（满分27）\n暴利率 = 44.4%\n组合类型：📊 一高两中 - 有机会需运营\n典型赛道：保健品、订阅电商", "summary": "暴利指数=12/27，📊一高两中"}{"three_d_profit_nature": 0, "three_d_profit_compound": 0, "three_d_profit_need": 0}{"module_id": "three_d_profit", "name": "三维暴利指数", "nature_score": 0, "compound_score": 0, "need_score": 0, "profit_index": 0, "max_possible": 27, "profit_rate": 0, "abandon": true, "abandon_reason": ["自然属性为0，不顺应自然规律", "复利效应为0，无持续复购", "人人刚需为0，非必需"], "combo_type": "-", "combo_desc": "-", "combo_emoji": "❌", "typical": "-", "conclusion": "⚠️ 赛道放弃：至少一个维度为0，不具备暴利基础", "summary": "暴利指数=0/27，赛道放弃"}POST http://127.0.0.1:8983/algo/nine_axis_locator{"axis_scores": {"capital": 2, "time": 3, "skill": 4, "stage": 3, "risk": 3, "era": 4, "region": 3, "network": 2, "health": 4}, "unlocked_axes": 9}{"module_id": "nine_axis_locator", "name": "九轴社会地图定位", "mode": "nine_axis_locator", "radar_data": [{"dimension": "资金", "key": "capital", "icon": "💰", "desc": "可支配资金与资产储备", "score": 2, "tag": "预算有限", "unlocked": true}, {"dimension": "时间", "key": "time", "icon": "⏰", "desc": "可自由支配的时间量", "score": 3, "tag": "时间一般", "unlocked": true}, {"dimension": "技能", "key": "skill", "icon": "🎯", "desc": "专业技能与核心竞争力", "score": 4, "tag": "技能扎实", "unlocked": true}, {"dimension": "阶段", "key": "stage", "icon": "📍", "desc": "人生阶段与当前处境", "score": 3, "tag": "发展期", "unlocked": true}, {"dimension": "风险", "key": "risk", "icon": "⚡", "desc": "风险承受与冒险倾向", "score": 3, "tag": "中性", "unlocked": true}, {"dimension": "年代", "key": "era", "icon": "📅", "desc": "年龄代际特征", "score": 4, "tag": "80后", "unlocked": true}, {"dimension": "体力", "key": "vitality", "icon": "💪", "desc": "身体精力与健康状态", "score": 3, "tag": "尚可", "unlocked": tr …[TRUNC]{"axis_scores": {"capital": 5, "time": 1, "skill": 1, "stage": 5, "risk": 1, "era": 1, "region": 1, "network": 5, "health": 1}, "unlocked_axes": 9}{"module_id": "nine_axis_locator", "name": "九轴社会地图定位", "mode": "nine_axis_locator", "radar_data": [{"dimension": "资金", "key": "capital", "icon": "💰", "desc": "可支配资金与资产储备", "score": 5, "tag": "资金充裕", "unlocked": true}, {"dimension": "时间", "key": "time", "icon": "⏰", "desc": "可自由支配的时间量", "score": 1, "tag": "时间匮乏", "unlocked": true}, {"dimension": "技能", "key": "skill", "icon": "🎯", "desc": "专业技能与核心竞争力", "score": 1, "tag": "技能待提升", "unlocked": true}, {"dimension": "阶段", "key": "stage", "icon": "📍", "desc": "人生阶段与当前处境", "score": 5, "tag": "收获期", "unlocked": true}, {"dimension": "风险", "key": "risk",POST http://127.0.0.1:8983/algo/overlay_matching{"coordinates": {"capital": 5, "time": 5, "skill": 5, "stage": 5, "risk": 5}, "industry_tags": ["跨境", "SaaS"], "skill": "编程", "funding": 5, "time_freedom": 5}{"quadrant": "综合型", "matches": [{"id": "G001", "name": "跨领域合作", "score": 70.0}, {"id": "G002", "name": "多元发展", "score": 65.0}], "count": 2, "top_opportunity": {"id": "G001", "name": "跨领域合作", "score": 70.0}}{"coordinates": {"capital": 1, "time": 1, "skill": 1, "stage": 1, "risk": 1}, "industry_tags": ["健身"], "skill": "健身", "funding": 1, "time_freedom": 1}{"quadrant": "综合型", "matches": [{"id": "G001", "name": "跨领域合作", "score": 67.3}, {"id": "G002", "name": "多元发展", "score": 62.3}], "count": 2, "top_opportunity": {"id": "G001", "name": "跨领域合作", "score": 67.3}}POST http://127.0.0.1:8983/algo/path_library{"user_skills": ["短视频", "拍摄", "剪辑", "运营", "社群"], "user_resources": ["本地人脉", "1家门店"]}{"matched_elves": [{"elf": {"id": "FY-VIDEO-001", "name": "短视频制作精灵", "skills": ["短视频", "拍摄", "剪辑"]}, "score": 1.0}, {"elf": {"id": "FY-COPY-001", "name": "文案精灵", "skills": ["文案", "创意", "内容"]}, "score": 0.3}, {"elf": {"id": "FY-DESIGN-001", "name": "设计精灵", "skills": ["设计", "视觉", "品牌"]}, "score": 0.3}, {"elf": {"id": "FY-LIVE-001", "name": "直播辅助机器人", "skills": ["直播", "带货", "互动"]}, "score": 0.3}, {"elf": {"id": "FY-NETWORK-001", "name": "人脉精灵", "skills": ["人脉", "对接", "资源"]}, "score": 0.3}, {"elf": {"id": "FY-AD-001", "name": "广告公司Agent", "skills": ["广告", "投放", "策略"]}, "score": 0.3}, {"elf": {"id": "FY-COMMUNITY-001", "name": "社群运营精灵", "skills": ["社群", "运营", "促活"]}, "score": 0.67}, {"elf": {"id": "FY-INDUSTRY-001", "name": "行业精灵", "skills": ["行业", "趋势", "分析"]}, "score": 0.3}, {"elf": {"id": "FY-DATA-001", "name": "记账数据精灵", "skills": ["记账", "数据", "分析"]}, "score": 0.3}, {"elf": {"id": "FY-STARTUP-001", "name": "创业精灵", "skills": ["创业", "商业", "融资"]}, "score": 0.3}], "paths": [{"name": "短视频制作精灵专属路径", "elf": {"id": "FY-VIDEO-001", "name": "短视频制作精灵", "skills": ["短视频", "拍摄", "剪辑"]}, "match_score …[TRUNC]{"user_skills": ["融资", "创业", "商业"], "user_resources": []}{"matched_elves": [{"elf": {"id": "FY-VIDEO-001", "name": "短视频制作精灵", "skills": ["短视频", "拍摄", "剪辑"]}, "score": 0.3}, {"elf": {"id": "FY-COPY-001", "name": "文案精灵", "skills": ["文案", "创意", "内容"]}, "score": 0.3}, {"elf": {"id": "FY-DESIGN-001", "name": "设计精灵", "skills": ["设计", "视觉", "品牌"]}, "score": 0.3}, {"elf": {"id": "FY-LIVE-001", "name": "直播辅助机器人", "skills": ["直播", "带货", "互动"]}, "score": 0.3}, {"elf": {"id": "FY-NETWORK-001", "name": "人脉精灵", "skills": ["人脉", "对接", "资源"]}, "score": 0.3}, {"elf": {"id": "FY-AD-001", "name": "广告公司Agent", "skills": ["广告", "投放", "策略"]}, "score": 0.3}, {"elf": {"id"POST http://127.0.0.1:8983/algo/demand_verify{"answers": {"q1_self_statement": "上海中医馆有没有需求", "q2_searched": 1, "q3_tried": 0, "q4_paid": 0, "q5_willing": 2, "q6_action": 1}}{"q1_self_statement": "上海中医馆有没有需求", "behavior_score": 25, "commitment_score": 10.3, "total_score": 35.3, "level": "🟠伪需求嫌疑", "confidence": "低", "behavior_details": ["✅ 主动搜索过解决方案(+25)", "❌ 未尝试过(0)", "❌ 未付过费(0)", "✅ 愿意采取具体行动(+10)"], "suggestion": "需进一步验证，问具体场景"}{"answers": {"q1_self_statement": "上海中医馆有没有需求", "q2_searched": 2, "q3_tried": 2, "q4_paid": 2, "q5_willing": 3, "q6_action": 3}}{"q1_self_statement": "上海中医馆有没有需求", "behavior_score": 85, "commitment_score": 10.4, "total_score": 95.5, "level": "🟢真需求", "confidence": "高", "behavior_details": ["✅ 主动搜索过解决方案(+25)", "✅ 尝试过其他方案(+30)", "✅ 为此付过费(+30)", "✅ 愿意采取具体行动(+10)"], "suggestion": "直接推进，提供解决方案"}POST http://127.0.0.1:8983/algo/industry_vitality{"data_driven": 40, "digital_penetration": 35, "barrier": 70, "dim_scores": {"data_driven": 40, "substitutability": 30, "barrier": 70}}{"dimensions": [{"id": "data_driven", "name": "数据驱动度", "desc": "行业决策是否依赖数据", "score": 40, "weight": 0.4}, {"id": "substitutability", "name": "可替代性", "desc": "被技术/新模式替代的风险", "score": 30, "weight": 0.3}, {"id": "barrier", "name": "进入壁垒", "desc": "行业护城河深度", "score": 70, "weight": 0.3}], "weighted_score": 46.0, "classification": "🟡数据可替代型", "description": "数字化过渡期行业，面临被替代风险需转型", "vitality_level": "中"}{"data_driven": 95, "digital_penetration": 95, "barrier": 10, "dim_scores": {"data_driven": 95, "substitutability": 95, "barrier": 10}}{"dimensions": [{"id": "data_driven", "name": "数据驱动度", "desc": "行业决策是否依赖数据", "score": 95, "weight": 0.4}, {"id": "substitutability", "name": "可替代性", "desc": "被技术/新模式替代的风险", "score": 95, "weight": 0.3}, {"id": "barrier", "name": "进入壁垒", "desc": "行业护城河深度", "score": 10, "weight": 0.3}], "weighted_score": 69.5, "classification": "🟡数据可替代型", "description": "数字化过渡期行业，面临被替代风险需转型", "vitality_level": "中"}POST http://127.0.0.1:8983/algo/value_assessment_v123{"product_name": "上海中医馆", "product_desc": "上海中医馆门店服务；geo缺口rank15 city_demand=0.961 上行", "efficiency_gain": 6, "cost_reduction": 5, "coverage_scale": 5, "substitution_risk": 0.4, "security_score": 8, "pleasure_score": 4, "showcase_score": 3, "emotion_duration": 0.6, "secondary_market": 2, "consensus_strength": 7, "value_period": 0.7, "scarcity": 6}{"module": "真需求价值评估 V1~V3", "product_name": "上海中医馆", "product_desc": "上海中医馆门店服务；geo缺口rank15 city_demand=0.961 上行", "v1_functional": {"score": 0.94, "base_score": 1.0, "model_bonus": 0, "risk_penalty": 0.06, "model_identified": {"model": "infrastructure", "name": "基础设施模型", "confidence": "高"}, "model_input": "", "substitution_risk": 0.4, "level": "🟢极高", "eval": "功能价值极高"}, "v2_emotional": {"score": 0.88, "base_score": 1.0, "duration_factor": 0.88, "security": 1, "pleasure": 1, "showcase": 1, "dominant_element": {"id": "security", "name": "保障感", "score": 1, "desc": "对抗害怕"}, "level": "🟢极高", "eval": "情绪价值极强"}, "v3_asset": {"score": 0.8, "base_score": 1.0, "period_factor": 0.5, "secondary_market": 1, "consensus_strength": 1, "scarcity": 1, "value_period_years": 0.7, "has_market": true, "has_consensus": true, "level": "🟢高", "eval": "资产价值良好"}, "F_score": 0.94, "E_score": 0.88, "A_score": 0.8, "V_ …[TRUNC]{"product_name": "上海中医馆", "product_desc": "x", "efficiency_gain": 1, "cost_reduction": 1, "coverage_scale": 1, "substitution_risk": 0.9, "security_score": 1, "pleasure_score": 1, "showcase_score": 1, "emotion_duration": 0.1, "secondary_market": 1, "consensus_strength": 1, "value_period": 0.1, "scarcity": 1}{"module": "真需求价值评估 V1~V3", "product_name": "上海中医馆", "product_desc": "x", "v1_functional": {"score": 0.865, "base_score": 1.0, "model_bonus": 0, "risk_penalty": 0.135, "model_identified": {"model": "infrastructure", "name": "基础设施模型", "confidence": "高"}, "model_input": "", "substitution_risk": 0.9, "level": "🟢极高", "eval": "功能价值极高"}, "v2_emotional": {"score": 0.73, "base_score": 1.0, "duration_factor": 0.73, "security": 1, "pleasure": 1, "showcase": 1, "dominant_element": {"id": "security", "name": "保障感", "score": 1, "desc": "对抗害怕"}, "level": "🟢高", "eval": "情绪价值良好"}, "v3_asset": {"score": 0.8, "POST http://127.0.0.1:8983/algo/four_dim_landing{"four_dim_fund": 15, "four_dim_time": 18, "four_dim_ability": 14, "four_dim_risk": 12}{"module_id": "four_dim_landing", "name": "四维度落地评估", "dimensions": {"fund": {"score": 15, "full": 25, "pct": 60.0, "label": "资金"}, "time": {"score": 18, "full": 25, "pct": 72.0, "label": "时间"}, "ability": {"score": 14, "full": 25, "pct": 56.0, "label": "能力"}, "risk": {"score": 12, "full": 25, "pct": 48.0, "label": "风险（反向）"}}, "risk_positive": 13, "total_score": 60, "total_full": 100, "landing_index": 60.0, "grade": "🟡B级", "grade_desc": "落地可行性一般，需补齐短板", "grade_emoji": "🟡", "weaknesses": [{"dim": "fund", "label": "资金", "score": 15, "full": 25, "level": "需补强", "question": "是否有足够资金启动和维持？"}, {"dim": "ability", "label": "能力", "score": 14, "full": 25, "level": "需补强", "question": "是否具备所需能力？"}, {"dim": "risk", "label": "风险", "score": 12, "full": 25, "level": "需补强", "question": "风险是否可控？"}], "suggestions": ["能力不足，建议补充所需技能或寻找合作伙伴", "💡 补齐短板后可启动"], "summary": "落地评估60/100🟡 🟡B级 | 资金15 时间18 能力14 风险12(反向) …[TRUNC]{"four_dim_fund": 25, "four_dim_time": 5, "four_dim_ability": 25, "four_dim_risk": 25}{"module_id": "four_dim_landing", "name": "四维度落地评估", "dimensions": {"fund": {"score": 25, "full": 25, "pct": 100.0, "label": "资金"}, "time": {"score": 5, "full": 25, "pct": 20.0, "label": "时间"}, "ability": {"score": 25, "full": 25, "pct": 100.0, "label": "能力"}, "risk": {"score": 25, "full": 25, "pct": 100.0, "label": "风险（反向）"}}, "risk_positive": 0, "total_score": 55, "total_full": 100, "landing_index": 55.0, "grade": "🟡B级", "grade_desc": "落地可行性一般，需补齐短板", "grade_emoji": "🟡", "weaknesses": [{"dim": "time", "label": "时间", "score": 5, "full": 25, "level": "严重短板", "question": "是否有足够时间投入？"}, {"dim": POST http://127.0.0.1:8983/algo/pool_theory_eval{"income_total": 200000, "expense_total": 50000, "asset_total": 3000000}{"mode": "data", "module_id": "pool_theory_eval", "name": "水池理论诊断评估", "total_income": 200000, "total_expense": 50000, "net_flow": 150000, "saving_rate": 75.0, "pool_capacity": 0.0, "pool_fullness": 0.0, "coverage_months": 0.0, "compound_rate": 0.0, "compound_effect": 0.0, "asset_growth": 150000.0, "inlet_quality": "充足", "outlet_quality": "健康", "quadrant": "有隐患", "quadrant_emoji": "🟡", "strategy": "查出水口堵漏", "risk_level": "中低风险", "trend": "增长↑", "trend_emoji": "📈", "inlet_count": 0, "outlet_count": 0, "summary": "🟡 有隐患 | 收入200000-支出50000=净流150000 | 结余率75% | 📈增长↑ | 查出水口堵漏"}{"income_total": 1000, "expense_total": 90000, "asset_total": 1000}{"mode": "data", "module_id": "pool_theory_eval", "name": "水池理论诊断评估", "total_income": 1000, "total_expense": 90000, "net_flow": -89000, "saving_rate": 0, "pool_capacity": 0.0, "pool_fullness": 0.0, "coverage_months": 0.0, "compound_rate": 0.0, "compound_effect": 0.0, "asset_growth": -89000.0, "inlet_quality": "不足", "outlet_quality": "漏血", "quadrant": "危急", "quadrant_emoji": "🔴", "strategy": "紧急止血+重建", "risk_level": "极高风险", "trend": "缩减↓", "trend_emoji": "📉", "inlet_count": 0, "outlet_count": 0, "summary": "🔴 危急 | 收入1000-支出90000=净流-89000 | 结余率0% | 📉缩减↓ | 紧急止血+重建"}POST http://127.0.0.1:8983/algo/six_line_five_color{"user_data": {"age": 32, "profession": "餐饮店长", "income": 9000, "region_score": 70}, "age": 32, "profession": "餐饮店长", "income": 9000, "region_score": 70}{"scores": {"时间自由度": 60, "资金": 30, "技能": 70, "地域": 70, "生命阶段": 70, "体力": 70}, "color": "黄色", "tags": ["餐饮店长", "黄色阶段"], "total": 370}{"user_data": {"age": 55, "profession": "退休", "income": 2000, "region_score": 20}, "age": 55, "profession": "退休", "income": 2000, "region_score": 20}{"scores": {"时间自由度": 60, "资金": 30, "技能": 70, "地域": 20, "生命阶段": 60, "体力": 70}, "color": "黄色", "tags": ["退休", "黄色阶段"], "total": 310}POST http://127.0.0.1:8983/algo/business_seven_layers{"seven_layer_math_thinking": 70, "seven_layer_values": 75, "seven_layer_project_screening": 80, "seven_layer_math_decision": 60, "seven_layer_landing_feasibility": 55, "seven_layer_strategy": 65, "seven_layer_profit_system": 60}{"module_id": "business_seven_layers", "name": "商业7层体系", "layers": [{"key": "math_thinking", "name": "数学思维", "description": "用数学逻辑理解商业本质的能力", "score": 70, "full": 100, "pct": 70, "grade": "🟡B级", "grade_emoji": "🟡", "order": 1}, {"key": "values", "name": "价值观", "description": "商业伦理与价值判断", "score": 75, "full": 100, "pct": 75, "grade": "⭐A级", "grade_emoji": "⭐", "order": 2}, {"key": "project_screening", "name": "项目筛选", "description": "基于标准筛选和评估项目的能力", "score": 80, "full": 100, "pct": 80, "grade": "⭐A级", "grade_emoji": "⭐", "order": 3}, {"key": "math_decision", "name": "数学决策", "description": "基于数据的理性决策能力", "score": 60, "full": 100, "pct": 60, "grade": "🟡B级", 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"美/英/德/西/墨/沙特/巴西 独立开发者", "existing_keywords": ["life chain method", "business chain diagnosis"], "platform_results": {"google": {"name": "Google", "count": 115, "verified": true, "credibility": 0.8}, "bing": {"name": "Bing", "count": 169, "verified": true, "credibility": 0.75}, "reddit": {"name": "Reddit", "count": 1200, "verified": true, "credibility": 0.6}, "newsletter": {"name": "Newsletter", "count": 20, "verified": true, "credibility": 0.55}}, "credibility": 0.7, "verified": true, "count": 284}{"industry": "多语言方法论内容/知识付费", "audience": "美/英/德/西/墨/沙特/巴西 独立开发者", "target_keywords": [{"keyword": "life chain method", "platforms": {}, "cross_validation_count": 0, "weighted_rate": 0.0, "priority": "P3"}, {"keyword": "business chain diagnosis", "platforms": {}, "cross_validation_count": 0, "weighted_rate": 0.0, "priority": "P3"}], "eliminated_keywords": [], "platform_info": {"知乎": {"name": "知乎", "type": "开放", "verify": "site:搜索"}, "小红书": {"name": "小红书", "type": "封闭花园", "verify": "App内实搜"}, "头条": {"name": "头条", "type": "半开放", "verify": "site:搜索"}, "抖音": {"name": "抖音", "type": "封闭花园", "verify": "App内实搜"}, "快手": {"name": "快手", "type": "封闭花园", "verify": "App内实搜"}, "B站": {"name": "B站", "type": "半开放", "verify": "site:搜索"}, "微信搜一搜": {"name": "微信搜一搜", "type": "半封闭", "verify": "site:搜索"}, "百度": {"name": "百度", "type": "开放", "verify": "通用搜索"}}}{"industry": "多语言方法论内容/知识付费", "audience": "x", "existing_keywords": ["life chain method"], "platform_results": {"google": {"name": "Google", "count": 1, "verified": false, "credibility": 0.05}}, "credibility": 0.05, "verified": false, "count": 1}{"industry": "多语言方法论内容/知识付费", "audience": "x", "target_keywords": [{"keyword": "life chain method", "platforms": {}, "cross_validation_count": 0, "weighted_rate": 0.0, "priority": "P3"}], "eliminated_keywords": [], "platform_info": {"知乎": {"name": "知乎", "type": "开放", "verify": "site:搜索"}, "小红书": {"name": "小红书", "type": "封闭花园", "verify": "App内实搜"}, "头条": {"name": "头条", "type": "半开放", "verify": "site:搜索"}, "抖音": {"name": "抖音", "type": "封闭花园", "verify": "App内实搜"}, "快手": {"name": "快手", "type": "封闭花园", "verify": "App内实搜"}, "B站": {"name": "B站", "type": "半开放", "verify": "site:搜索"}, "微信搜一搜": {"name": POST http://127.0.0.1:8983/algo/decay{"initial_users": 180, "avg_invitations": 0.23, "max_depth": 8, "decay_rate": 0.35, "spread_data": {"initial_users": 180, "avg_invitations": 0.23, "decay_rate": 0.35}}{"layers": [{"depth": 1, "users": 180.0, "decay_factor": 1.0, "cumulative": 180.0}, {"depth": 2, "users": 14.35, "decay_factor": 0.3465, "cumulative": 194.35}, {"depth": 3, "users": 1.13, "decay_factor": 0.3431, "cumulative": 195.48}, {"depth": 4, "users": 0.09, "decay_factor": 0.3397, "cumulative": 195.57}], "total_spread": 195, "decay_curve": "衰减显著，末层仅剩0.1%", "max_depth": 4}{"initial_users": 180, "avg_invitations": 2.5, "max_depth": 8, "decay_rate": 0.05}{"layers": [{"depth": 1, "users": 180.0, "decay_factor": 1.0, "cumulative": 180.0}, {"depth": 2, "users": 22.28, "decay_factor": 0.0495, "cumulative": 202.28}, {"depth": 3, "users": 2.73, "decay_factor": 0.049, "cumulative": 205.01}, {"depth": 4, "users": 0.33, "decay_factor": 0.0485, "cumulative": 205.34}], "total_spread": 205, "decay_curve": "衰减显著，末层仅剩0.2%", "max_depth": 4}POST http://127.0.0.1:8983/algo/k_factor{"invitations": 0.23, "conversions": 0.0013, "spread_data": {"invites_per_user": 0.23, "conversion_rate": 0.0013}}{"k_factor": 0.0013, "is_viral": false, "conversion_rate": 0.0057, "invitations": 0.23, "conversions": 0.0013, "phase": "seed", "distance_to_viral": 0.9987, "suggestions": ["K值过低（种子期），优先提升邀请率和转化率"]}{"invitations": 3.0, "conversions": 0.4, "spread_data": {"invites_per_user": 3.0, "conversion_rate": 0.4}}{"k_factor": 0.4, "is_viral": false, "conversion_rate": 0.1333, "invitations": 3.0, "conversions": 0.4, "phase": "growth", "distance_to_viral": 0.6, "suggestions": ["K值增长期(K=0.40)，距病毒传播还有空间"]}POST http://127.0.0.1:8983/algo/water_flow{"initial_users": 180, "invites_per_user": 0.23, "conversion_rate": 0.0013, "decay_rate": 0.35, "max_generations": 8, "avg_value_per_user": 3.0, "propagation_input": {"initial_users": 180, "invites_per_user": 0.23, "conversion_rate": 0.0013, "decay_rate": 0.35}}{"k_factor": 0.0003, "phase": "seed", "is_viral": false, "generations": [{"generation": 1, "users": 180.0, "decay_factor": 1.0, "cumulative": 180.0}, {"generation": 2, "users": 14.35, "decay_factor": 0.3465, "cumulative": 194.35}, {"generation": 3, "users": 1.13, "decay_factor": 0.3431, "cumulative": 195.48}, {"generation": 4, "users": 0.09, "decay_factor": 0.3397, "cumulative": 195.57}], "total_reach": 195.6, "peak_generation": 1, "peak_users": 180.0, "network_value": 2.723, "critical_progress_pct": 19.5, "health_score": 39.9, "health_grade": "D"}{"initial_users": 180, "invites_per_user": 2.5, "conversion_rate": 0.2, "decay_rate": 0.05, "max_generations": 8, "avg_value_per_user": 3.0}{"k_factor": 0.5, "phase": "growth", "is_viral": false, "generations": [{"generation": 1, "users": 180.0, "decay_factor": 1.0, "cumulative": 180.0}, {"generation": 2, "users": 22.28, "decay_factor": 0.0495, "cumulative": 202.28}, {"generation": 3, "users": 2.73, "decay_factor": 0.049, "cumulative": 205.01}, {"generation": 4, "users": 0.33, "decay_factor": 0.0485, "cumulative": 205.34}], "total_reach": 205.3, "peak_generation": 1, "peak_users": 180.0, "network_value": 2.9352, "critical_progress_pct": 20.5, "health_score": 50.1, "health_grade": "D"}POST http://127.0.0.1:8983/algo/funnel_evaluate{"data": {"platform": "Google", "title": "itinerary generator 长尾词", "CTR": 0.0153, "展现量增速": 0.35, "完读率": 0.35, "停留时长占比": 0.4, "收藏率": 0.05, "评论率": 0.01, "点赞率": 0.02, "私信咨询率": 0.008, "加群率": 0.004, "关注率": 0.01, "转发率": 0.005, "裂变比": 0.1}}{"platform": "Google", "title": "itinerary generator 长尾词", "layers": {"entry": {"name": "入口层", "desc": "关键词击中意图", "color": "🔴迷路", "indicators": [{"name": "CTR", "status": "🔴迷路", "value": 0.0153}, {"name": "展现量增速", "status": "🟢超线", "value": 0.35}]}, "engagement": {"name": "承接层", "desc": "内容接住流量", "color": "🔴迷路", "indicators": [{"name": "完读率", "status": "🟡偏线", "value": 0.35}, {"name": "停留时长占比", "status": "🔴迷路", "value": 0.4}]}, "interaction": {"name": "互动层", "desc": "产生动作意愿", "color": "🔴迷路", "indicators": [{"name": "收藏率", "status": "🟢超线", "value": 0.05}, {"name": "评论率", "status": "🟡偏线", "value": 0.01}, {"name": "点赞率", "status": "🔴迷路", "value": 0.02}]}, "conversion": {"name": "转化层", "desc": "从看到找你", "color": "🔴迷路", "indicators": [{"name": "私信咨询率", "status": "🟡偏线", "value": 0.008}, {"name": "加群率", "status": "🔴迷路", "value": 0.004}, {"name": "关注率", "status": "🔴迷路", "value": 0.01}]}, "spread": {"name": "传播层", "desc": "用户替你推", "color": "🔴迷路", "indicators": [{"name": "转发率", "status": "🔴迷路", "value": 0.005}, {"name": "裂变比", "status": "🔴迷路", "value": 0.1}]}}, "faults": []}{"data": {"platform": "Google", "title": "itinerary generator 长尾词(对照)", "CTR": 0.06, "展现量增速": 0.5, "完读率": 0.7, "停留时长占比": 0.9, "收藏率": 0.08, "评论率": 0.04, "点赞率": 0.1, "私信咨询率": 0.03, "加群率": 0.04, "关注率": 0.06, "转发率": 0.04, "裂变比": 0.6}}{"platform": "Google", "title": "itinerary generator 长尾词(对照)", "layers": {"entry": {"name": "入口层", "desc": "关键词击中意图", "color": "🟢超线", "indicators": [{"name": "CTR", "status": "🟢超线", "value": 0.06}, {"name": "展现量增速", "status": "🟢超线", "value": 0.5}]}, "engagement": {"name": "承接层", "desc": "内容接住流量", "color": "🟢超线", "indicators": [{"name": "完读率", "status": "🟢超线", "value": 0.7}, {"name": "停留时长占比", "status": "🟢超线", "value": 0.9}]}, "interaction": {"name": "互动层", "desc": "产生动作意愿", "color": "🟢超线", "indicators": [{"name": "收藏率", "status": "🟢超线", "value": 0.08}, {"name": "评论率", "status": "🟢超线", "value":POST http://127.0.0.1:8983/algo/network_effect{"total_users": 700, "connections": 1.4, "avg_value_per_user": 1.5, "alpha": 1.1, "beta": 0.9, "c": 1.0, "n_critical": 1000}{"network_value": 1347.7454, "metcalfe_value": 367500.0, "phase": "pre_critical", "density": 6e-06, "distance_to_critical": 300, "critical_progress_pct": 70.0, "total_users": 700, "n_critical": 1000}{"total_users": 50000, "connections": 12, "avg_value_per_user": 25, "alpha": 1.1, "beta": 0.9, "c": 1.0, "n_critical": 1000}{"network_value": 16946.2264, "metcalfe_value": 31250000000.0, "phase": "post_critical", "density": 0.0, "distance_to_critical": 0, "critical_progress_pct": 100.0, "total_users": 50000, "n_critical": 1000}POST http://127.0.0.1:8983/algo/spread_validation{"invites_per_user": 2.5, "conversion_rate": 0.3, "decay_rate": 0.7, "spread_data": {"invites_per_user": 2.5, "conversion_rate": 0.3, "decay_rate": 0.7}}{"score": 1.0, "valid_rate": 1.0, "fraud_flag": "clean", "anomalies": [], "anomaly_count": 0}{"invites_per_user": 0.2, "conversion_rate": 0.001, "decay_rate": 0.95}{"score": 1.0, "valid_rate": 1.0, "fraud_flag": "suspect", "anomalies": ["每人邀请数过低(0.2)，传播动力不足", "转化率过低(0%)，产品匹配度差"], "anomaly_count": 2}POST http://127.0.0.1:8983/algo/demand_verify{"answers": {"q1_self_statement": "分身引擎卖点：一张照片穿遍民族服饰", "q2_searched": 2, "q3_tried": 1, "q4_paid": 0, "q5_willing": 2, "q6_action": 1}}{"q1_self_statement": "分身引擎卖点：一张照片穿遍民族服饰", "behavior_score": 55, "commitment_score": 10.3, "total_score": 65.3, "level": "🟡潜在需求", "confidence": "中", "behavior_details": ["✅ 主动搜索过解决方案(+25)", "✅ 尝试过其他方案(+30)", "❌ 未付过费(0)", "✅ 愿意采取具体行动(+10)"], "suggestion": "引导行动，降低首次尝试门槛"}{"answers": {"q1_self_statement": "同左", "q2_searched": 0, "q3_tried": 0, "q4_paid": 0, "q5_willing": 0, "q6_action": 0}}{"q1_self_statement": "同左", "behavior_score": 0, "commitment_score": 0.0, "total_score": 0.0, "level": "🔴伪需求", "confidence": "极低", "behavior_details": ["❌ 未搜索过(0)", "❌ 未尝试过(0)", "❌ 未付过费(0)"], "suggestion": "不投入资源，提供免费内容即可"}POST http://127.0.0.1:8983/algo/motivation_level{"referral_count": 3, "name": "参与试用的海外华人用户"}{"tier": "T1", "tier_name": "利他分享", "referral_count": 3, "earnings_rate": 0.7, "benefits": ["70%终身分成", "普通推广人标识", "糖丸奖励×5/人"], "next_tier": "T3", "progress_to_next": 0.33, "next_tier_name": "利益驱动"}{"referral_count": 0, "name": "x"}{"tier": "T0", "tier_name": "旁观者", "referral_count": 0, "earnings_rate": 0.0, "benefits": ["免费看路", "基础功能"], "next_tier": "T1", "progress_to_next": 0.0, "next_tier_name": "利他分享"}POST http://127.0.0.1:8983/algo/value_assessment_v123{"product_name": "AI民族服饰换装", "product_desc": "上传1张照片生成民族服饰写真；海外晒图/节庆", "efficiency_gain": 8, "cost_reduction": 9, "coverage_scale": 6, "substitution_risk": 0.6, "security_score": 3, "pleasure_score": 9, "showcase_score": 10, "emotion_duration": 0.4, "secondary_market": 2, "consensus_strength": 4, "value_period": 0.3, "scarcity": 4}{"module": "真需求价值评估 V1~V3", "product_name": "AI民族服饰换装", "product_desc": "上传1张照片生成民族服饰写真；海外晒图/节庆", "v1_functional": {"score": 0.91, "base_score": 1.0, "model_bonus": 0, "risk_penalty": 0.09, "model_identified": {"model": "infrastructure", "name": "基础设施模型", "confidence": "高"}, "model_input": "", "substitution_risk": 0.6, "level": "🟢极高", "eval": "功能价值极高"}, "v2_emotional": {"score": 0.82, "base_score": 1.0, "duration_factor": 0.82, "security": 1, "pleasure": 1, "showcase": 1, "dominant_element": {"id": "security", "name": "保障感", "score": 1, "desc": "对抗害怕"}, "level": "🟢极高", "eval": "情绪价值极强"}, "v3_asset": {"score": 0.8, "base_score": 1.0, "period_factor": 0.5, "secondary_market": 1, "consensus_strength": 1, "scarcity": 1, "value_period_years": 0.3, "has_market": true, "has_consensus": true, "level": "🟢高", "eval": "资产价值良好"}, "F_score": 0.91, "E_score": 0.82, "A_score": 0.8, "V_total": 0.845, "v …[TRUNC]{"product_name": "AI民族服饰换装", "product_desc": "x", "efficiency_gain": 1, "cost_reduction": 1, "coverage_scale": 1, "substitution_risk": 0.95, "security_score": 1, "pleasure_score": 1, "showcase_score": 1, "emotion_duration": 0.05, "secondary_market": 1, "consensus_strength": 1, "value_period": 0.05, "scarcity": 1}{"module": "真需求价值评估 V1~V3", "product_name": "AI民族服饰换装", "product_desc": "x", "v1_functional": {"score": 0.858, "base_score": 1.0, "model_bonus": 0, "risk_penalty": 0.142, "model_identified": {"model": "infrastructure", "name": "基础设施模型", "confidence": "高"}, "model_input": "", "substitution_risk": 0.95, "level": "🟢极高", "eval": "功能价值极高"}, "v2_emotional": {"score": 0.715, "base_score": 1.0, "duration_factor": 0.715, "security": 1, "pleasure": 1, "showcase": 1, "dominant_element": {"id": "security", "name": "保障感", "score": 1, "desc": "对抗害怕"}, "level": "🟢高", "eval": "情绪价值良好"}, "v3_asset": {"score": 每次经公网入口 /algo53/algo/<id> 的调用，调度器都会落一行到
/internal/hit/calls.jsonl：时间 · 算法 · 来源页面 · 参数摘要 · 是否成功 · 耗时。
下面这块是当场读这个文件算的（不预生成、不缓存），刷新页面就是当前值。
| 算法 | 需求 | 为什么灰 |
|---|---|---|
| traffic_target | D5/D6 | priority 恒 P3、无淘汰词，平台词表是国内 8 平台 → 接不到「选词」下一步 |
| network_effect | D8 | density / distance_to_critical 口径未标单位 → 不能直接进决策 |
| pool_theory_eval / water_pool | D3/D4 | 算法本身算得对，但判定阈值激进（满配才「有隐患」，没 🟢 档）→ 色块不能直接给用户看 |
| spread_validation | D8 | score/valid_rate 恒 1.0，只有 fraud_flag 有效 → 只能用半个 |
| 算法 | 需求 | 实测 |
|---|---|---|
| spread_validation | D8 | 【废 · 无】八组输入实测：score 与 valid_rate 是同一个数，4 组恒 1.0，只有 ≥3 异常才动 → 评分无信息量 |
| overlay_matching | D10 | 【废 · 无】机会库只有 2 条常量，quadrant 恒「综合型」 |
| spirit_engine | — | 【坏 · 下架候选】注册报「未找到 BaseModule 子类」；文件是分身后端逻辑（811 行，无 run(data_bus) 契约），硬包=假算法 → 未修 |
| value_discovery_engine | — | 【坏 · 待修】注册报「未找到 BaseModule 子类」；984 行是 run_engine()+save_to_db() 落库脚本，无入参契约 |
两类东西不许接进任何入口：坏件（注册不上，调用直接报错）和 废件（能跑，但输出没有信息量）。 判定后面都挂了证据（实测数字或调度器报错原文），要改判得拿新证据来。
| 算法 | 判定 | 证据 | 处置 |
|---|---|---|---|
| spread_validation | 【废 · 无】 | 2026-09-21 八组输入实测（健康→极差）：score 与 valid_rate 是同一个数（代码里 valid_rate = score）；
其中 4 组（真人健康/中不溜/偏低）恒为 1.0，只有「≥3 个异常」的 3 组才掉到 0.0–0.8。评分维度没有信息量，只剩 fraud_flag/anomalies 一个信号 |
台账判定【未知】→【无】；页面单列；不进任何入口 |
| overlay_matching | 【废 · 无】 | 机会库只有 2 条常量，quadrant 恒「综合型」（上一轮实测） |
同上，不进入口 |
| spirit_engine | 【坏 · 下架候选】 | 调度器注册报错原文：{"ok": false, "error": "未找到 BaseModule 子类"}。文件 811 行是分身后端逻辑（用户/权益/场景匹配/回答生成），
没有 run(data_bus) 这个算法契约 —— 硬包一层就是假算法，所以没修 |
标坏件；要接先定义输入输出契约（另起一件） |
| value_discovery_engine | 【坏 · 待修】 | 同样的注册报错：未找到 BaseModule 子类。文件 984 行是 run_engine() 一次性生成 + save_to_db() 落库脚本，
没有入参契约、结果直接写库，不适合当可调用算法 |
标坏件；走「脚本+落库」路线，或先定义契约 |
另有 灰名单（traffic_target / network_effect / pool_theory_eval / water_pool）不是坏也不是废，是「能算但接不上下一步」，见上一节。
下面 26 个算法本批没有配对（没有合适需求，或需求已被更合适的算法接住）。它们的「价值」仍是未知，不是「有用」也不是「没用」：
a_plus_model、business_chain_999、business_digital_portrait、calibration_store、chronic_health_eval、core_production_factors、curve_generation、cycle_eval、data_correlation_nine、family_chain_eval、five_shot_snapshot、four_accounts、lifechain_7tables、lifechain_9step_36item、lifechain_eval_v6、multi_level_tracking、personal_asset_eval、problem_location_eval、propagation_management、referral_commission、three_system_diag、tree_positioning、true_false_profit、two_power_64、wind_speech_engine、wish_decompose
免责：本页判定来自 2026-09-21 当晚的一次实测；参数里凡是没有源数据的行业属性评分，都是人工赋值并在 JSON 的 demand_note 里注明，别当成实测数据用。
机读：/internal/hit/hits.json · 生成 2026-09-21 · 灵犀