tlly

Hosted dashboards and scheduled data jobs for AI agents, with thresholds, alerts and share links.

사용해야 할까요

품질 및 안전성

B
설명 품질
98%
스키마 완전성
82%
이름 품질
98%
오염 위험
0%
권한 일치
90%
프로토콜 준수
100%

발견 사항 (12)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains suspicious base64-like encoded stringtest_job에서
  • MEDIUMTool description contains URL to non-standard domaintest_job에서
  • MEDIUMTool description contains suspicious base64-like encoded stringcreate_job에서
  • MEDIUMTool description contains URL to non-standard domaincreate_job에서
  • MEDIUMTool description contains suspicious base64-like encoded stringimport_once에서
  • MEDIUMTool description contains URL to non-standard domainimport_once에서
  • MEDIUMTool description contains suspicious base64-like encoded stringupdate_job에서
  • MEDIUMTool description contains URL to non-standard domainupdate_job에서
  • MEDIUMTool description contains suspicious base64-like encoded stringlist_integration_skills에서

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~10,850토큰 (도구 정의)
~453 B일반적인 응답 크기
상당한 주의 영향 (128k 컨텍스트의 8.48%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "tlly": {
      "url": "https://tlly.dev/mcp"
    }
  }
}

원격 엔드포인트

https://tlly.dev/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (30)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟡create_dashboard(spec)

Create a hosted dashboard; returns its public URL. Dashboard spec: {"title": str, "description"?: str, "range"?: "1m"|"3m"|"6m"|"ytd"|"1y"|"2y"|"5y"|"10y"|"max", "theme"?: "auto"|"light"|"dark" (default mode; auto follows the viewer's system and viewers can switch), "layout"?: "auto"|"overview"|"detail" (only the default for panels without "display": overview makes them tiles, detail makes them charts, auto makes them tiles above 8 panels), "visibility"?: "public"|"private" (default public: anyone with the link; private: only members of this account signed in to tlly.dev, so embeds and shared links stop working for others), "panels": [{"title"?: str, "series": "name" | ["a","b"], "type"?: "line"|"area"|"bar"|"stat"|"gauge"|"bargauge"|"pie"|"heatmap"|"table", "unit"?: str, "note"?: str, "stale_after_days"?: num, "thresholds"?: {"red_above"?, "yellow_above"?, "yellow_below"?, "red_below"?}, "range"?: (as above, overrides the dashboard's), "section"?: str (starts a new titled section at this panel), "views"?: bool (show the Level / Y/Y % / Index buttons; default: shown unless the unit is already a rate like %, y/y or pp), "display"?: "tile"|"chart" (tile: a compact number with a sparkline, click for the full chart; chart: a card with the full chart; mix them freely, e.g. tiles for the many supporting numbers and charts for the few that need their history), "headline"?: bool (show as a big number at the top of the dashboard, under a status strip; use for the 3-6 most important), "width"?: "half"|"full", "scale"?: "linear"|"log", "id"?: str (stable panel id, e.g. pn_abc123XYZ012; keep existing ids when editing so alerts stay attached), "right_axis"?: [series names] (line, area and bar charts: draw these series against a second y axis on the right, for series of different sizes or units; at least one stays on the left), "right_unit"?: str (unit of the right axis; "unit" is the left's), "left_label"?/"right_label"?: str (≤40 chars, a title written vertically along the left / right y axis, e.g. "Policy rate"; right_label needs right_axis), "view"?: "level"|"yoy"|"index" (initial view; viewers can switch), "source"?: str (shown as "Source: …"; defaults to the job's host), "labels"?: [display name per series], "status_series"?: name (a red/yellow/green text series that sets the panel colour), "compare"?: "prev"|"3m"|"1y" (what the change is measured against), "period"?: "D"|"M"|"Q" (show dates as 2026-06 or 2026Q2), "value_names"?: {"green": "Hold", …} (display names for text values)}], "badge"?: "worst" (default: the header badge shows the worst panel) | "off" | panel index (0-based; the badge follows that panel), "shade"?: [{"from": date, "to": date, "label"?: str}] (up to 20 shaded periods on every chart)}. "type": "table" shows one row per series (up to 20): label, latest value, date and a status dot; its "status_series" is a list with one entry per row ("" for none). "area" is a line chart filled underneath; "gauge" is a dial of the latest value with the threshold zones, and "bargauge" a horizontal bar per series (up to 20, coloured by thresholds), both scaled by "min"?/"max"?: num (default 0 to a bit above the largest value or threshold); "pie" is a donut of the series' latest values (shares of a whole, up to 20); "heatmap" is a calendar of the first series' daily values (good for activity per day). Status colour is computed from the latest value of the panel's first series; a series of red/yellow/green labels (e.g. a derived status) colours itself. Notes may use {latest}, {date}, {period} and {change}, filled in from the panel's latest value. Annotations on a panel's series appear as markers. Viewers can pick a time range (1M to Max, year to date, or a custom from-to period), zoom, switch views and download CSV; ?embed=1 hides the page chrome and &panel=N shows one panel. Text limits: title ≤120, description ≤500, panel title ≤120, unit ≤20, note ≤280, section and source ≤80 characters, single line, plain text.

입력 스키마

{
  "type": "object",
  "properties": {
    "spec": {
      "description": "dashboard spec",
      "type": "object"
    }
  },
  "required": [
    "spec"
  ]
}
🟡update_dashboard(dashboard_id, draft, note, replace_thresholds, spec)

Replace a dashboard's spec (URL stays the same). Every update is saved as a numbered version. With "draft": true it is saved without going live: viewers keep seeing the live version, members can preview the draft at the returned preview_url, and publish_dashboard_version makes it live. Use drafts for larger changes and publish when the user confirms. Dashboard spec: {"title": str, "description"?: str, "range"?: "1m"|"3m"|"6m"|"ytd"|"1y"|"2y"|"5y"|"10y"|"max", "theme"?: "auto"|"light"|"dark" (default mode; auto follows the viewer's system and viewers can switch), "layout"?: "auto"|"overview"|"detail" (only the default for panels without "display": overview makes them tiles, detail makes them charts, auto makes them tiles above 8 panels), "visibility"?: "public"|"private" (default public: anyone with the link; private: only members of this account signed in to tlly.dev, so embeds and shared links stop working for others), "panels": [{"title"?: str, "series": "name" | ["a","b"], "type"?: "line"|"area"|"bar"|"stat"|"gauge"|"bargauge"|"pie"|"heatmap"|"table", "unit"?: str, "note"?: str, "stale_after_days"?: num, "thresholds"?: {"red_above"?, "yellow_above"?, "yellow_below"?, "red_below"?}, "range"?: (as above, overrides the dashboard's), "section"?: str (starts a new titled section at this panel), "views"?: bool (show the Level / Y/Y % / Index buttons; default: shown unless the unit is already a rate like %, y/y or pp), "display"?: "tile"|"chart" (tile: a compact number with a sparkline, click for the full chart; chart: a card with the full chart; mix them freely, e.g. tiles for the many supporting numbers and charts for the few that need their history), "headline"?: bool (show as a big number at the top of the dashboard, under a status strip; use for the 3-6 most important), "width"?: "half"|"full", "scale"?: "linear"|"log", "id"?: str (stable panel id, e.g. pn_abc123XYZ012; keep existing ids when editing so alerts stay attached), "right_axis"?: [series names] (line, area and bar charts: draw these series against a second y axis on the right, for series of different sizes or units; at least one stays on the left), "right_unit"?: str (unit of the right axis; "unit" is the left's), "left_label"?/"right_label"?: str (≤40 chars, a title written vertically along the left / right y axis, e.g. "Policy rate"; right_label needs right_axis), "view"?: "level"|"yoy"|"index" (initial view; viewers can switch), "source"?: str (shown as "Source: …"; defaults to the job's host), "labels"?: [display name per series], "status_series"?: name (a red/yellow/green text series that sets the panel colour), "compare"?: "prev"|"3m"|"1y" (what the change is measured against), "period"?: "D"|"M"|"Q" (show dates as 2026-06 or 2026Q2), "value_names"?: {"green": "Hold", …} (display names for text values)}], "badge"?: "worst" (default: the header badge shows the worst panel) | "off" | panel index (0-based; the badge follows that panel), "shade"?: [{"from": date, "to": date, "label"?: str}] (up to 20 shaded periods on every chart)}. "type": "table" shows one row per series (up to 20): label, latest value, date and a status dot; its "status_series" is a list with one entry per row ("" for none). "area" is a line chart filled underneath; "gauge" is a dial of the latest value with the threshold zones, and "bargauge" a horizontal bar per series (up to 20, coloured by thresholds), both scaled by "min"?/"max"?: num (default 0 to a bit above the largest value or threshold); "pie" is a donut of the series' latest values (shares of a whole, up to 20); "heatmap" is a calendar of the first series' daily values (good for activity per day). Status colour is computed from the latest value of the panel's first series; a series of red/yellow/green labels (e.g. a derived status) colours itself. Notes may use {latest}, {date}, {period} and {change}, filled in from the panel's latest value. Annotations on a panel's series appear as markers. Viewers can pick a time range (1M to Max, year to date, or a custom from-to period), zoom, switch views and download CSV; ?embed=1 hides the page chrome and &panel=N shows one panel. Text limits: title ≤120, description ≤500, panel title ≤120, unit ≤20, note ≤280, section and source ≤80 characters, single line, plain text.

입력 스키마

{
  "type": "object",
  "properties": {
    "dashboard_id": {
      "description": "id",
      "type": "string"
    },
    "draft": {
      "description": "save as a draft version without changing the live dashboard. Chat always drafts, even if this is false.",
      "type": "boolean"
    },
    "note": {
      "description": "optional short description of this version (≤200 characters)",
      "type": "string"
    },
    "replace_thresholds": {
      "description": "set true only after the user agrees to drop or change an existing colour line",
      "type": "boolean"
    },
    "spec": {
      "description": "dashboard spec",
      "type": "object"
    }
  },
  "required": [
    "dashboard_id",
    "spec"
  ]
}
🟢list_dashboard_versions(dashboard_id)

List a dashboard's saved versions (newest first) with which one is live and a members-only preview URL for each.

입력 스키마

{
  "type": "object",
  "properties": {
    "dashboard_id": {
      "description": "id",
      "type": "string"
    }
  },
  "required": [
    "dashboard_id"
  ]
}
🟡publish_dashboard_version(dashboard_id, version)

Make a saved version of a dashboard the live one (also to roll back). The dashboard keeps its URL and visibility.

입력 스키마

{
  "type": "object",
  "properties": {
    "dashboard_id": {
      "description": "id",
      "type": "string"
    },
    "version": {
      "description": "version number from list_dashboard_versions or update_dashboard",
      "type": "integer"
    }
  },
  "required": [
    "dashboard_id",
    "version"
  ]
}
🔴rotate_dashboard_url(dashboard_id)

Give a dashboard a new public URL and disable the old one at once (e.g. if a link leaked). Spec and data are unchanged.

입력 스키마

{
  "type": "object",
  "properties": {
    "dashboard_id": {
      "description": "id",
      "type": "string"
    }
  },
  "required": [
    "dashboard_id"
  ]
}
🟢list_dashboards

List dashboards with their URLs.

입력 스키마

{
  "type": "object",
  "properties": {},
  "required": []
}
🔴delete_dashboard(dashboard_id)

Delete a dashboard (series data is kept).

입력 스키마

{
  "type": "object",
  "properties": {
    "dashboard_id": {
      "description": "id",
      "type": "string"
    }
  },
  "required": [
    "dashboard_id"
  ]
}
🔴push_points(points, series)

Write dated values to a series (upsert by date). Use when you compute data yourself. Values are numbers, or short text labels for a text series (e.g. a rating or stance; see Data policy). A series' first write fixes its type.

입력 스키마

{
  "type": "object",
  "properties": {
    "points": {
      "description": "[{\"date\":\"2026-09-30\",\"value\":4.6}] or [{\"date\":\"2026-09-30\",\"value\":\"AA+\"}]",
      "items": {
        "type": "object"
      },
      "type": "array"
    },
    "series": {
      "description": "series name, e.g. household_credit_yoy",
      "type": "string"
    }
  },
  "required": [
    "series",
    "points"
  ]
}
🟢get_series(limit, series)

Read the latest points of a series.

입력 스키마

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer"
    },
    "series": {
      "description": "name",
      "type": "string"
    }
  },
  "required": [
    "series"
  ]
}
🟢list_series

List all series with their type (number or text), point counts and date ranges; text series also list their values.

입력 스키마

{
  "type": "object",
  "properties": {},
  "required": []
}
🔴delete_series(series)

Delete all points of a series, or remove a derived series' definition.

입력 스키마

{
  "type": "object",
  "properties": {
    "series": {
      "description": "name",
      "type": "string"
    }
  },
  "required": [
    "series"
  ]
}
🔴define_derived(definition, series)

Create or replace a derived series, computed from other series every time it is read (always fresh, stores no points, counts toward the series limit). definition: {"op":"add"|"subtract"|"multiply"|"divide","a":series,"b":series} (matched by date) | {"op":"pct_change"|"diff"|"moving_average"|"rolling_min"|"rolling_max"|"shift","a":series,"n"?:1-1000} (shift: the value n points earlier) | {"op":"scale","a":series,"factor":number} | {"op":"resample","a":series,"to":"M"|"Q","how"?:"last"|"mean"|"sum"|"ffill"} (to month/quarter ends; ffill also fills gaps up to today) | {"op":"mean"|"sum","inputs":[2-20 series]} (dates all inputs have) | {"op":"status","a":series,"red"?:[rule],"yellow"?:[rule]} → text labels red/yellow/green (red if any red rule holds, else yellow if any yellow rule, else green); rule: {"series"?:name (default a; read as of each date of a),"above"|"below":number,"for"?:1-24 (holds for the last k points)} or {"all":[2-10 rules]}; at most 10 rules | {"op":"composite","inputs":[status series],"min_inputs"?:n} → 0-100 score (red 2, yellow 1, green 0) | {"op":"count","inputs":[status series],"value":"red"|"yellow"|"green","share"?:true (percent)}. Inputs may themselves be derived (up to 10 levels; one read may touch at most 200 stored series). Example: a yield-curve spread {"op":"subtract","a":"govt_10y","b":"tbill_3m"}.

입력 스키마

{
  "type": "object",
  "properties": {
    "definition": {
      "description": "definition",
      "type": "object"
    },
    "series": {
      "description": "name for the derived series",
      "type": "string"
    }
  },
  "required": [
    "series",
    "definition"
  ]
}
🟢list_secrets

List the names of the workspace's stored secrets (API keys for private sources) and the host each may be sent to. Use one in a job's url, headers or body as {{secret:NAME}}.

입력 스키마

{
  "type": "object",
  "properties": {},
  "required": []
}
🟢test_job(spec)

Dry-run a job spec: fetch, extract and transform, return a preview. Saves nothing. Job spec: {"series": name, "cron": "m h dom mon dow" (UTC, at most every 5 min), "request": {"url", "method"?: "GET"|"POST", "headers"?: {}, "body"?: obj|str, "pages"?: {"param": "page", "start"?: 0, "max"?: 1-10} (json with items: bump a query parameter until an empty items array) | {"cursor": "paging.next.after", "into": "after", "max"?: 1-10} (copy that JSON path from each response into the JSON body; stop when it is missing. A cursor that remains after max pages is an error, so a sum is never a partial total. HubSpot CRM search uses this. A json aggregate with no request.pages fails when the body still has another page, paging.next.after, has_more true, links.next, pageInfo.hasNextPage or another next cursor, instead of saving a partial total. Set pages. A response with no next marker is complete.)}, "extract": {"format": "json", "items"?: "path.to.array", "date"?: "field", "value": "field", "value_type"?: "number"|"text", "aggregate"?: "count"|"sum"|"mean"|"min"|"max" (records per date, e.g. hourly prices to a daily mean; needs items; all but count need value), "period"?: "D"|"M"|"Q", "where"?: [{"field": "path", "equals"|"not_equals": value}] (up to 5, with aggregate). Omit "date" with aggregate to snapshot every matching record as one point on the day of the fetch. String numbers (HubSpot properties.amount) are summed.} | {"format": "json_columns", "dates": "path.to.array", "values": "path.to.array", "value_type"?} (two parallel arrays, e.g. Yahoo chart: timestamp + close) | {"format": "csv", "date"?: "COLUMN", "value": "COLUMN", "delimiter"?, "value_type"?} (omit date to stamp every row with the fetch day; one value per day, so the last row wins. That does not sum the rows the way a JSON aggregate that omits date does. A history needs a Date column. Make a copy https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/copy. Public CSV https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/export?format=csv&gid=1746689811. Downloads /templates/google-sheets.csv and /templates/google-sheets.xlsx.) | {"format": "jsonstat2"} (SSB/Eurostat; filter the query to a single series), "transform"?: [{"op": "pct_change"|"diff"|"rolling_mean"|"rolling_sum"|"rolling_min"|"rolling_max"|"shift", "n": int} | {"op": "scale", "factor": num}], "keep"?: "all"|"last"}. "value_type": "text" stores labels (no transforms; see Data policy). Dates like 2026-09-30, 2026M08, 2026Q2/2026K2, 2026 or unix time are normalised to ISO period-end dates; date-times (2026-10-05T14:00+02:00) count on the day as written. A single JSON value with no timestamp (omit "date", or a date path the body doesn't have) is dated with the day of the fetch: that is valid for a snapshot such as a price. A date that is present but not a date is an error. Do not invent a timestamp field. URLs and string bodies may use {today}, {yesterday}, {tomorrow}, {year}, {month}, {day} (UTC, filled in on every run) for sources that put the date in the URL. Private APIs: the URL, header values and string body may use {{secret:NAME}} for a secret the workspace owner stored (list_secrets shows the names and the one host each may be sent to); the value is filled in at fetch time and never shown, e.g. "headers": {"Authorization": "Bearer {{secret:STRIPE_KEY}}"}. A stored secret may be sent on GET, on a POST whose body is a GraphQL query, or on POST https://api.hubapi.com/crm/v3/objects/{deals,contacts,companies}/search only (HubSpot's read-only CRM search, JSON body; https://developers.hubspot.com/docs/api-reference/legacy/crm/search-the-crm). No other POST may carry a secret, and the secret is still sent only to the host it was saved for. If a needed secret is missing, ask the user to add it at /account under Data sources.

입력 스키마

{
  "type": "object",
  "properties": {
    "spec": {
      "description": "job spec",
      "type": "object"
    }
  },
  "required": [
    "spec"
  ]
}
🔴create_job(name, spec)

Schedule a fetch job. It runs once immediately and the result is returned. Job spec: {"series": name, "cron": "m h dom mon dow" (UTC, at most every 5 min), "request": {"url", "method"?: "GET"|"POST", "headers"?: {}, "body"?: obj|str, "pages"?: {"param": "page", "start"?: 0, "max"?: 1-10} (json with items: bump a query parameter until an empty items array) | {"cursor": "paging.next.after", "into": "after", "max"?: 1-10} (copy that JSON path from each response into the JSON body; stop when it is missing. A cursor that remains after max pages is an error, so a sum is never a partial total. HubSpot CRM search uses this. A json aggregate with no request.pages fails when the body still has another page, paging.next.after, has_more true, links.next, pageInfo.hasNextPage or another next cursor, instead of saving a partial total. Set pages. A response with no next marker is complete.)}, "extract": {"format": "json", "items"?: "path.to.array", "date"?: "field", "value": "field", "value_type"?: "number"|"text", "aggregate"?: "count"|"sum"|"mean"|"min"|"max" (records per date, e.g. hourly prices to a daily mean; needs items; all but count need value), "period"?: "D"|"M"|"Q", "where"?: [{"field": "path", "equals"|"not_equals": value}] (up to 5, with aggregate). Omit "date" with aggregate to snapshot every matching record as one point on the day of the fetch. String numbers (HubSpot properties.amount) are summed.} | {"format": "json_columns", "dates": "path.to.array", "values": "path.to.array", "value_type"?} (two parallel arrays, e.g. Yahoo chart: timestamp + close) | {"format": "csv", "date"?: "COLUMN", "value": "COLUMN", "delimiter"?, "value_type"?} (omit date to stamp every row with the fetch day; one value per day, so the last row wins. That does not sum the rows the way a JSON aggregate that omits date does. A history needs a Date column. Make a copy https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/copy. Public CSV https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/export?format=csv&gid=1746689811. Downloads /templates/google-sheets.csv and /templates/google-sheets.xlsx.) | {"format": "jsonstat2"} (SSB/Eurostat; filter the query to a single series), "transform"?: [{"op": "pct_change"|"diff"|"rolling_mean"|"rolling_sum"|"rolling_min"|"rolling_max"|"shift", "n": int} | {"op": "scale", "factor": num}], "keep"?: "all"|"last"}. "value_type": "text" stores labels (no transforms; see Data policy). Dates like 2026-09-30, 2026M08, 2026Q2/2026K2, 2026 or unix time are normalised to ISO period-end dates; date-times (2026-10-05T14:00+02:00) count on the day as written. A single JSON value with no timestamp (omit "date", or a date path the body doesn't have) is dated with the day of the fetch: that is valid for a snapshot such as a price. A date that is present but not a date is an error. Do not invent a timestamp field. URLs and string bodies may use {today}, {yesterday}, {tomorrow}, {year}, {month}, {day} (UTC, filled in on every run) for sources that put the date in the URL. Private APIs: the URL, header values and string body may use {{secret:NAME}} for a secret the workspace owner stored (list_secrets shows the names and the one host each may be sent to); the value is filled in at fetch time and never shown, e.g. "headers": {"Authorization": "Bearer {{secret:STRIPE_KEY}}"}. A stored secret may be sent on GET, on a POST whose body is a GraphQL query, or on POST https://api.hubapi.com/crm/v3/objects/{deals,contacts,companies}/search only (HubSpot's read-only CRM search, JSON body; https://developers.hubspot.com/docs/api-reference/legacy/crm/search-the-crm). No other POST may carry a secret, and the secret is still sent only to the host it was saved for. If a needed secret is missing, ask the user to add it at /account under Data sources.

입력 스키마

{
  "type": "object",
  "properties": {
    "name": {
      "description": "optional label",
      "type": "string"
    },
    "spec": {
      "description": "job spec",
      "type": "object"
    }
  },
  "required": [
    "spec"
  ]
}
🔴import_once(spec)

Fetch a job spec once and save the result, without scheduling it or using a job slot ("cron" is optional and ignored). Use for one-off dashboards whose data doesn't need to update; points count toward the data quota. Job spec: {"series": name, "cron": "m h dom mon dow" (UTC, at most every 5 min), "request": {"url", "method"?: "GET"|"POST", "headers"?: {}, "body"?: obj|str, "pages"?: {"param": "page", "start"?: 0, "max"?: 1-10} (json with items: bump a query parameter until an empty items array) | {"cursor": "paging.next.after", "into": "after", "max"?: 1-10} (copy that JSON path from each response into the JSON body; stop when it is missing. A cursor that remains after max pages is an error, so a sum is never a partial total. HubSpot CRM search uses this. A json aggregate with no request.pages fails when the body still has another page, paging.next.after, has_more true, links.next, pageInfo.hasNextPage or another next cursor, instead of saving a partial total. Set pages. A response with no next marker is complete.)}, "extract": {"format": "json", "items"?: "path.to.array", "date"?: "field", "value": "field", "value_type"?: "number"|"text", "aggregate"?: "count"|"sum"|"mean"|"min"|"max" (records per date, e.g. hourly prices to a daily mean; needs items; all but count need value), "period"?: "D"|"M"|"Q", "where"?: [{"field": "path", "equals"|"not_equals": value}] (up to 5, with aggregate). Omit "date" with aggregate to snapshot every matching record as one point on the day of the fetch. String numbers (HubSpot properties.amount) are summed.} | {"format": "json_columns", "dates": "path.to.array", "values": "path.to.array", "value_type"?} (two parallel arrays, e.g. Yahoo chart: timestamp + close) | {"format": "csv", "date"?: "COLUMN", "value": "COLUMN", "delimiter"?, "value_type"?} (omit date to stamp every row with the fetch day; one value per day, so the last row wins. That does not sum the rows the way a JSON aggregate that omits date does. A history needs a Date column. Make a copy https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/copy. Public CSV https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/export?format=csv&gid=1746689811. Downloads /templates/google-sheets.csv and /templates/google-sheets.xlsx.) | {"format": "jsonstat2"} (SSB/Eurostat; filter the query to a single series), "transform"?: [{"op": "pct_change"|"diff"|"rolling_mean"|"rolling_sum"|"rolling_min"|"rolling_max"|"shift", "n": int} | {"op": "scale", "factor": num}], "keep"?: "all"|"last"}. "value_type": "text" stores labels (no transforms; see Data policy). Dates like 2026-09-30, 2026M08, 2026Q2/2026K2, 2026 or unix time are normalised to ISO period-end dates; date-times (2026-10-05T14:00+02:00) count on the day as written. A single JSON value with no timestamp (omit "date", or a date path the body doesn't have) is dated with the day of the fetch: that is valid for a snapshot such as a price. A date that is present but not a date is an error. Do not invent a timestamp field. URLs and string bodies may use {today}, {yesterday}, {tomorrow}, {year}, {month}, {day} (UTC, filled in on every run) for sources that put the date in the URL. Private APIs: the URL, header values and string body may use {{secret:NAME}} for a secret the workspace owner stored (list_secrets shows the names and the one host each may be sent to); the value is filled in at fetch time and never shown, e.g. "headers": {"Authorization": "Bearer {{secret:STRIPE_KEY}}"}. A stored secret may be sent on GET, on a POST whose body is a GraphQL query, or on POST https://api.hubapi.com/crm/v3/objects/{deals,contacts,companies}/search only (HubSpot's read-only CRM search, JSON body; https://developers.hubspot.com/docs/api-reference/legacy/crm/search-the-crm). No other POST may carry a secret, and the secret is still sent only to the host it was saved for. If a needed secret is missing, ask the user to add it at /account under Data sources.

입력 스키마

{
  "type": "object",
  "properties": {
    "spec": {
      "description": "job spec",
      "type": "object"
    }
  },
  "required": [
    "spec"
  ]
}
🔴update_job(enabled, job_id, spec)

Replace a job's spec, or pause it with enabled=false. Job spec: {"series": name, "cron": "m h dom mon dow" (UTC, at most every 5 min), "request": {"url", "method"?: "GET"|"POST", "headers"?: {}, "body"?: obj|str, "pages"?: {"param": "page", "start"?: 0, "max"?: 1-10} (json with items: bump a query parameter until an empty items array) | {"cursor": "paging.next.after", "into": "after", "max"?: 1-10} (copy that JSON path from each response into the JSON body; stop when it is missing. A cursor that remains after max pages is an error, so a sum is never a partial total. HubSpot CRM search uses this. A json aggregate with no request.pages fails when the body still has another page, paging.next.after, has_more true, links.next, pageInfo.hasNextPage or another next cursor, instead of saving a partial total. Set pages. A response with no next marker is complete.)}, "extract": {"format": "json", "items"?: "path.to.array", "date"?: "field", "value": "field", "value_type"?: "number"|"text", "aggregate"?: "count"|"sum"|"mean"|"min"|"max" (records per date, e.g. hourly prices to a daily mean; needs items; all but count need value), "period"?: "D"|"M"|"Q", "where"?: [{"field": "path", "equals"|"not_equals": value}] (up to 5, with aggregate). Omit "date" with aggregate to snapshot every matching record as one point on the day of the fetch. String numbers (HubSpot properties.amount) are summed.} | {"format": "json_columns", "dates": "path.to.array", "values": "path.to.array", "value_type"?} (two parallel arrays, e.g. Yahoo chart: timestamp + close) | {"format": "csv", "date"?: "COLUMN", "value": "COLUMN", "delimiter"?, "value_type"?} (omit date to stamp every row with the fetch day; one value per day, so the last row wins. That does not sum the rows the way a JSON aggregate that omits date does. A history needs a Date column. Make a copy https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/copy. Public CSV https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/export?format=csv&gid=1746689811. Downloads /templates/google-sheets.csv and /templates/google-sheets.xlsx.) | {"format": "jsonstat2"} (SSB/Eurostat; filter the query to a single series), "transform"?: [{"op": "pct_change"|"diff"|"rolling_mean"|"rolling_sum"|"rolling_min"|"rolling_max"|"shift", "n": int} | {"op": "scale", "factor": num}], "keep"?: "all"|"last"}. "value_type": "text" stores labels (no transforms; see Data policy). Dates like 2026-09-30, 2026M08, 2026Q2/2026K2, 2026 or unix time are normalised to ISO period-end dates; date-times (2026-10-05T14:00+02:00) count on the day as written. A single JSON value with no timestamp (omit "date", or a date path the body doesn't have) is dated with the day of the fetch: that is valid for a snapshot such as a price. A date that is present but not a date is an error. Do not invent a timestamp field. URLs and string bodies may use {today}, {yesterday}, {tomorrow}, {year}, {month}, {day} (UTC, filled in on every run) for sources that put the date in the URL. Private APIs: the URL, header values and string body may use {{secret:NAME}} for a secret the workspace owner stored (list_secrets shows the names and the one host each may be sent to); the value is filled in at fetch time and never shown, e.g. "headers": {"Authorization": "Bearer {{secret:STRIPE_KEY}}"}. A stored secret may be sent on GET, on a POST whose body is a GraphQL query, or on POST https://api.hubapi.com/crm/v3/objects/{deals,contacts,companies}/search only (HubSpot's read-only CRM search, JSON body; https://developers.hubspot.com/docs/api-reference/legacy/crm/search-the-crm). No other POST may carry a secret, and the secret is still sent only to the host it was saved for. If a needed secret is missing, ask the user to add it at /account under Data sources.

입력 스키마

{
  "type": "object",
  "properties": {
    "enabled": {
      "type": "boolean"
    },
    "job_id": {
      "description": "id",
      "type": "string"
    },
    "spec": {
      "description": "job spec",
      "type": "object"
    }
  },
  "required": [
    "job_id",
    "spec"
  ]
}
🟢list_jobs

List scheduled fetch jobs with their last run status and any error message.

입력 스키마

{
  "type": "object",
  "properties": {},
  "required": []
}
🔴run_job_now(job_id)

Run a scheduled fetch job immediately, store any new points, and return the run result.

입력 스키마

{
  "type": "object",
  "properties": {
    "job_id": {
      "description": "id",
      "type": "string"
    }
  },
  "required": [
    "job_id"
  ]
}
🔴delete_job(job_id)

Delete a job (its series data is kept).

입력 스키마

{
  "type": "object",
  "properties": {
    "job_id": {
      "description": "id",
      "type": "string"
    }
  },
  "required": [
    "job_id"
  ]
}
🟢get_status

Health check: failing jobs, stale or empty panels, dashboards, storage usage. Call this to verify everything works.

입력 스키마

{
  "type": "object",
  "properties": {},
  "required": []
}
🟢get_usage

Storage usage against quotas (data points = values + annotations, series, dashboards, jobs) and the largest series. Check before large writes.

입력 스키마

{
  "type": "object",
  "properties": {},
  "required": []
}
🔴add_annotations(annotations, series)

Attach short dated notes to a series (e.g. 'Policy rate raised to 4.5%'); shown as markers on charts. Single-line plain text, max 280 chars; one note per date (re-adding replaces it); each counts as one data point.

입력 스키마

{
  "type": "object",
  "properties": {
    "annotations": {
      "description": "[{\"date\":\"2026-09-25\",\"text\":\"Policy rate raised to 4.5%\"}]",
      "items": {
        "type": "object"
      },
      "type": "array"
    },
    "series": {
      "description": "series name",
      "type": "string"
    }
  },
  "required": [
    "series",
    "annotations"
  ]
}
🟢list_annotations(limit, series)

Read the latest annotations of a series.

입력 스키마

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer"
    },
    "series": {
      "description": "name",
      "type": "string"
    }
  },
  "required": [
    "series"
  ]
}
🔴delete_annotations(dates, series)

Delete annotations of a series on the given dates, or all of them if dates is omitted.

입력 스키마

{
  "type": "object",
  "properties": {
    "dates": {
      "items": {
        "type": "string"
      },
      "type": "array"
    },
    "series": {
      "description": "name",
      "type": "string"
    }
  },
  "required": [
    "series"
  ]
}
🔴set_alert_webhook(url)

Set or clear the workspace webhook URL for job-failure and dashboard status alerts (pass an empty url to clear). When events fire, tlly POSTs JSON to that URL (Slack and Discord incoming webhooks get a short text payload instead). Events include job_failed, status_changed (keep panel "id" fields in specs so alerts stay attached), and threshold_crossed. Email alerts work without a webhook. Caps: 12 emails and 60 webhooks per account per hour; the same panel is not alerted twice within an hour.

입력 스키마

{
  "type": "object",
  "properties": {
    "url": {
      "description": "https URL, or empty to clear",
      "type": "string"
    }
  },
  "required": []
}
🔴set_panel_alert(dashboard_id, limit, notify, panel, trigger)

Set when one dashboard panel sends alert email and/or a webhook (colour change, threshold cross, or off). trigger: change (default), red, notgreen, above, below, or off; above/below need limit. notify: both, email, or webhook. panel is the 0-based index in the live spec. Saving can send immediately if a limit was just crossed (unless this panel alerted within the last hour). Later sends happen after scheduled fetches. Default change+both removes a custom rule. Does not change colour lines or save a dashboard version.

입력 스키마

{
  "type": "object",
  "properties": {
    "dashboard_id": {
      "description": "id",
      "type": "string"
    },
    "limit": {
      "description": "required for above and below",
      "type": "number"
    },
    "notify": {
      "description": "both, email or webhook",
      "type": "string"
    },
    "panel": {
      "description": "0-based panel index",
      "type": "integer"
    },
    "trigger": {
      "description": "change, red, notgreen, above, below or off",
      "type": "string"
    }
  },
  "required": [
    "dashboard_id",
    "panel"
  ]
}
🔴set_stale_alert(after, dashboard_id, series)

Configure when tlly sends stale-data alert email and webhooks because a series stopped updating. after: auto (from the job schedule and point spacing, at least two days), off, hours, or a window like 48h or 7d. Use dashboard_id for every series on a dashboard, series for one series, or both for one series on one dashboard. One email and one webhook when it goes quiet; another when a newer point arrives. Counts toward the hourly caps.

입력 스키마

{
  "type": "object",
  "properties": {
    "after": {
      "description": "auto, off, 48h, 7d, or a number of hours",
      "type": "string"
    },
    "dashboard_id": {
      "description": "optional dashboard id",
      "type": "string"
    },
    "series": {
      "description": "optional series name",
      "type": "string"
    }
  },
  "required": []
}
🟢list_integration_skills

List integration setup playbooks (Stripe, Shopify, Sheets, and the other sources tlly can read). A spreadsheet starts from the KPI template. Make a copy https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/copy. Public CSV https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/export?format=csv&gid=1746689811. Downloads /templates/google-sheets.csv and /templates/google-sheets.xlsx. Public: no API key required.

입력 스키마

{
  "type": "object",
  "properties": {},
  "required": []
}
🟢get_integration_skill(id)

Read one integration playbook by id: what to track, the minimum credential and scopes, the exact tlly job, and gotchas. google-sheets and json-api also return a template field (Make a copy, public CSV, downloads). Make a copy https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/copy. Public CSV https://docs.google.com/spreadsheets/d/1Ty5X3LkY2unxTNGbkq36qDzuuYxQMsuywaTNyzL_pac/export?format=csv&gid=1746689811. Downloads /templates/google-sheets.csv and /templates/google-sheets.xlsx. Public: no API key required. Call this before inventing an API URL or scope.

입력 스키마

{
  "type": "object",
  "properties": {
    "id": {
      "description": "skill id from list_integration_skills, e.g. stripe or google-sheets",
      "type": "string"
    }
  },
  "required": [
    "id"
  ]
}

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