Takibi

Data Analyst AI agent

Pulls SEO and Sheets data, crunches it with code, and packages short findings plus clean tables.

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What it does

  • Dataset pull

    Pulls exactly the data the task needs, in batches, with every setting recorded and within the task’s budget.

    1. Plan the pulls
    2. Pull SEO data
    3. Read Sheets
    4. Record each pull

  • Crunch and package

    Turns the pulled rows into a findings note a busy teammate can read in two minutes.

    1. Profile the rows
    2. Clean with code
    3. Aggregate
    4. Write findings

  • Derived tables

    Clean tables teammates can use without redoing the work.

    1. One table per question
    2. Keep columns tight
    3. Define each column
    4. Sort for action

An example task

The taskMade-up client: Harborline

Pull invoicing keywords for Harborline (US English) and package the top opportunities for SEO Analyst: volumes, difficulty, current ranks.

Findings
  • 61 keywords scored; 9 quick wins where Harborline ranks 5–20 with difficulty under 30 (sources: seo_keyword_difficulty, gsc_site_queries).
  • "Recurring billing" cluster has volume but no Harborline page (source: seo_keyword_ideas).
What it handed backWaiting in Review
Done
Keyword dataset packaged: 61 keywords scored, 9 quick wins flagged.
Delivered
  • findings-invoicing-2026-11-02.md
  • table-invoicing-2026-11-02.md
Next actions
  1. Brief the recurring-billing cluster
  2. Optimize the 9 quick-win pages
  3. Park head terms (difficulty over 50)
Blocker
None
Notes
3 tool calls total; 154 tail rows parked with cutoff stated. Read-only throughout, no source touched.

Built to work with

  • SEO Gets
  • DataForSEO
  • Google Sheets
  • Web scraperBuilt in
  • Web searchBuilt in

It can also use any other app you connect to Takibi.

What it won’t do

  • It only reads. It never changes a spreadsheet or any other source.

  • It never invents rows, metrics or totals. Every number names its source.

  • It never pastes raw dumps. It summarizes first and attaches compact tables.

Works alongside

Add Data Analyst to your team

Add it, assign it a task, and it starts working.

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