The Snapshot Pipeline · ~2 min

A fast verified read
of your data.

Upload a dataset, get one clean chart and a written insight — computed from your data and checked before it reaches you. The low-cost door into the platform, and the fastest way to see what your data actually says.

$1· re-run $0.50
Covered by your welcome credits · usually delivered in under two minutes

What you get.

A Snapshot is one lead chart and a one-paragraph written insight — nothing improvised, every claim tied to a value the pipeline actually computed from your data.

One lead chart

The clearest signal in your dataset — a trend, a distribution, a breakdown — picked by profiling your columns and their relationships.

A verified written insight

A short paragraph explaining what the chart shows, with every number in the prose traced back to a computed value from your data. No improvised statistics.

Instant, in your browser

Builds while you watch. About two minutes from upload to delivered report — no scheduling, no waiting, no email.

Inside the Snapshot pipeline.

A lean sequence of specialist stages — each with one job. Every stage runs as executed code, not model chatter, and the output of one stage is the input to the next. No stage can be skipped.

1
Ingest & profile

Read your dataset and understand its shape.

Columns, types, cardinality, missingness, distributions, and relationships — profiled so the next stages know what they’re looking at before they design anything.

2
Classify the objective

Decide what the reader most needs to see.

Given your question and the profile, choose the analytic angle — trend, comparison, breakdown, distribution — that answers the question fastest with what the data will actually support.

3
Author the spec

Design the one chart and the values it will show.

Pick the chart type, the measure, the grouping, and the exact computed values the insight paragraph will use. The spec is what the next stage actually runs.

4
Build & test

Compute the values and render the chart.

Real code executes against your dataset in a sandbox. Chart is rendered; the values the insight will quote are produced and pinned. Nothing is written from imagination.

5
Narrative verify

Every number in the prose must match a computed value.

An independent verifier reads the written insight and checks each claim against the pinned values from stage 4. If a number in the sentence doesn’t match, the sentence is rewritten — not the number.

6
Compile & deliver

Assemble the report and hand it to you.

The chart, the insight, the method footer, and the source citations are compiled into a single deliverable that’s served in the browser — and available to re-run on fresh data for $0.50.

What the output looks like.

A single card, plain-spoken, sized to be read in a minute — but every value is computed from your data and passed through the verifier.

Snapshot · example
“Weekend orders are 23.4% higher than weekday orders, and the gap has widened over the last six months.”
The chart: weekly order volume split by weekend vs weekday, with the trend line over the visible period. The 23.4% is computed, not written. If the value didn’t survive verification, the sentence would be rewritten before you saw it.

Why $1 for something computed?

The Snapshot is priced to remove the friction of “is it worth trying?” A junior analyst’s time to build the equivalent read — profile the columns, pick the chart, run the numbers, write the caption, check them — runs about 45 minutes at internal rates. The pipeline does it in two, and every Snapshot is covered by the welcome credits on your first account.

See what your data says.

Upload a CSV, ask a question, get a verified chart and insight — free on your first account.

Run a Snapshot