Syl Pulse
Causal analytics: ask a business question, get a deterministic causal answer and charts.
使うべきか
品質と安全性
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"pulse": {
"url": "https://pulse.sylai.io/mcp"
}
}
}リモートエンドポイント
https://pulse.sylai.io/mcpstreamable-httpできること
ツール一覧
ツール（1）
🟢pulse_analyze(question, csv, data, cause, effect, ...)
Estimate a causal effect from a dataset and answer a business question. Provide exactly one of ``csv`` (CSV text) or ``data`` (list of row objects). Returns the full long-form Pulse report (the same answer an email reply contains) as the primary text content and as ``report`` in the structured result, followed by chart PNGs as image content blocks (unless ``include_charts`` is false). Structured fields: the adjusted effect size (``ate``/``effect_size``) with its confidence interval (``ci_low``, ``ci_high``, ``ci_range``), per-channel effects (``channels``, keyed by outcome), confidence, and caveats. A ``test_design`` (how long a spend-cut test would take to confirm the effect, and whether the data already suffices) is included only when the question asks about sample size, power, or how long a test would take, or when ``include_test_design`` is true; otherwise it is null. With ``include_guardian_verdict`` it also returns ``guardian_verdict`` ``{verdict: pass|caution|hold, reason}``, computed locally. All numbers are deterministic statistics, never LLM-generated. Args: question: The business question, e.g. "Does ad spend drive sales?". csv: Dataset as CSV text. data: Dataset as a list of row records (alternative to ``csv``). cause: Treatment column (inferred from the question if omitted). effect: Outcome column (inferred if omitted). confounders: Columns to adjust for, in addition to those discovered. outcomes: Several outcome columns, for by-channel effects. time_col: Time column (used for the test-design cadence). include_guardian_verdict: Also return a pass/caution/hold verdict. include_charts: Attach chart images (DAG, effect, trend) as image content. include_test_design: Force the spend-cut test design / sample-size section on (true) or off (false). Omit (null) to include it only when the question asks about sample size, statistical power, or how long a test would take.
入力スキーマ
{
"type": "object",
"properties": {
"question": {
"title": "Question",
"type": "string"
},
"csv": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Csv"
},
"data": {
"anyOf": [
{
"items": {
"additionalProperties": true,
"type": "object"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Data"
},
"cause": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Cause"
},
"effect": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Effect"
},
"confounders": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Confounders"
},
"outcomes": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Outcomes"
},
"time_col": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Time Col"
},
"include_guardian_verdict": {
"default": false,
"title": "Include Guardian Verdict",
"type": "boolean"
},
"include_charts": {
"default": true,
"title": "Include Charts",
"type": "boolean"
},
"include_test_design": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Include Test Design"
}
},
"required": [
"question"
],
"title": "pulse_analyzeArguments"
}コミュニティ
エビデンス