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  3. Illustrative global managed assets have more than doubled si
OpenAIGrouped bar chart · 22 points · GPT-5.6

Illustrative global managed assets have more than doubled since 2015

The numbers behind a chart OpenAI published, redrawn natively. Check the original, study the data, then make your own.

Estimated from the image 30%GPT-5.6All OpenAI modelsAll chart data
Chart by OpenAI. Source: openai.com

Our replica

Look-alike score 9.2 of 10
The original, OpenAI
Our replica. Look-alike score 9.2 of 10Swipe sideways to read the labels.

Drawn by us in your browser from the numbers below, in the same layout, palette and label style as the original. Values marked with ~ in the table are estimates. A replica needs 7 of 10 from our judges to be shown.

The numbers

First 10 of 22 points are free
GroupSeriesValue (relative index (tallest mark = 100))SourceConf.
2015Established markets~42Estimate0.30
2015Growth markets~18Estimate0.30
2016Established markets~48Estimate0.30
2016Growth markets~20Estimate0.30
2017Established markets~54Estimate0.30
2017Growth markets~22Estimate0.30
2018Established markets~50Estimate0.30
2018Growth markets~20Estimate0.30
2019Established markets~58Estimate0.30
2019Growth markets~25Estimate0.30

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See all 22 points and download the files

The full table, the JSON, a CSV and the agent skill file for this chart. These are Max in the plan; while this is a prototype your email unlocks them.

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2020Established markets~66Estimate0.30
2020Growth markets~30Estimate0.30
2021Established markets~74Estimate0.30
2021Growth markets~35Estimate0.30
2022Established markets~66Estimate0.30
2022Growth markets~30Estimate0.30
2023Established markets~80Estimate0.30
2023Growth markets~36Estimate0.30
2024Established markets~88Estimate0.30
2024Growth markets~42Estimate0.30
2025Established markets~100Estimate0.30
2025Growth markets~50Estimate0.30
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API · Max

Use this chart via API

On the Max plan you can pull this chart's numbers with the provenance of each one, as JSON or CSV, with its redraw spec, or call it from an agent over MCP. Chart id 628ab0851be6.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.30 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.

PathReturnsPlan
GET/api/v1/charts/628ab0851be6Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/628ab0851be6/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/628ab0851be6/render?view=1The draw-only view this page usesOpen
POST/mcpTool get_chart_data with this id, for Claude, Cursor and other agentsMax
curlMax
curl -s https://viral-chart.com/api/v1/charts/628ab0851be6/data \
  -H "Authorization: Bearer $VIRALCHART_KEY"
Claude CodeMax
claude mcp add --transport http viralchart https://viral-chart.com/mcp \
  --header "Authorization: Bearer $VIRALCHART_KEY"

60 requests a minute per key; over that you get 429 with Retry-After. Up to 5 keys per account, made on your account page and shown once. Without Max, the data route answers 402 with a link to the plans. The numbers describe a chart its publisher owns, and every file carries a license note.

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Questions people ask

How accurate are these numbers?

They are estimated from the image by two independent passes, with confidence 0.30 on a 0 to 1 scale. Printed numbers read well; values read off an axis can be a few percent off.

Can I reuse this data?

The numbers describe a chart that OpenAI published. The image, layout and styling belong to them. Use the numbers with a credit to the publisher, and make your picture from your own data.

How do I get the file?

The JSON, CSV and agent skill file are under the email gate on this page. In this prototype they are static files at /api/charts/628ab0851be6.json and /api/charts/628ab0851be6.skill.md.