Data processing: Task risk assessment
An agent operating in this task class handles, transforms, aggregates, or computes over a dataset — anything from a single unit conversion to a full multi-stage pipeline. The distinguishing property is that the output is a derived quantity, not a retrieved fact or a sent message: its correctness depends on the transformation applied being the one actually intended, which is a much narrower target than "plausible-looking".
Two failure shapes recur across this task class. The first is a transformation applied backwards or with the wrong factor, which produces a confident, well-formatted, wrong number. The second is a summary statistic that is technically correct over the whole dataset while concealing exactly the segment a downstream decision depends on. Neither failure shape announces itself; both look, on the surface, like ordinary output. A wrong number is formatted exactly like a right one — that is the whole of the problem, and it is why this class exists at all.
How a data processing assessment is computed
For data processing tasks, the risk selection below is combined with the model's own profile — its element and ruling planet foremost — to produce the task-level portion of a full assessment. The exact derivation is published at /method.
Data processing against each registry model
Data processing crossed against every registry model. Each profile is computed from that model's configuration and nothing else — no dataset is read, no pipeline is inspected, and no row below changes when the data does.
The order of the rows is itself a derived quantity, which is fitting for this class: 3 of the 10 profiles read data processing through a dominant house or an element, 1 of those through the house, and the table sorts on the sum. GPT-5.6 Sol takes the top of it at 4 and Qwen3.8-Max the bottom. 6 distinct ruling planets appear across the 10 rows.
Registry default parameters produce every row: the per-model cutoff shown, temperature 0.700. No schema, column, or row count is an input. A data processing certificate is computed from the parameters submitted with its order.
| Model | Manufacturer | Training cutoff | Ruling planet | Reads this class through | Outlook |
|---|---|---|---|---|---|
| GPT-5.6 Sol | OpenAI | 2026-02 | Mercury | dominant house (4) | publication pending |
| Claude Opus 5 | Anthropic | 2026-05 | Saturn | element (3) | publication pending |
| DeepSeek V4 Pro | DeepSeek | 2025-12 | Sun | element (3) | publication pending |
| Claude Fable 5 | Anthropic | 2026-01 | Mars | neither — class-neutral (0) | publication pending |
| Claude Sonnet 5 | Anthropic | 2026-01 | Venus | neither — class-neutral (0) | publication pending |
| GPT-5.6 Terra | OpenAI | 2026-02 | Moon | neither — class-neutral (0) | publication pending |
| Grok 4.6 | xAI | 2026-02 | Sun | neither — class-neutral (0) | publication pending |
| Gemini 3.7 Flash | Google DeepMind | 2025-01 | Venus | neither — class-neutral (0) | publication pending |
| Kimi K3 | Moonshot AI | 2026-03 | Moon | neither — class-neutral (0) | publication pending |
| Qwen3.8-Max | Alibaba Cloud | 2026-03 | Sun | neither — class-neutral (0) | publication pending |
Four failure modes of a derived number
Every factor tracked for this class describes a way a derived quantity can be wrong while looking right. That is the property the class exists to track. A retrieval failure usually leaves a gap; a data processing failure usually leaves a number.
The Registry tracks 4 risk factors for data processing tasks. They are fixed for the class: they do not adapt to a model, to a configuration, or to the wording of a task. An assessment reports 3 of the 4, each with its severity rating and its description, and which 3 are returned is derived from the submitted task's own seed rather than chosen. The factors themselves are part of the assessment and are not published here.
Questions about data processing assessment
- What counts as a data processing task for this registry?
- Handling, transforming, aggregating, or computing over a dataset falls under this task class — a single unit conversion and a multi-stage pipeline are assessed under the same four factors.
- How many risk factors does an assessment report?
- The registry tracks 4 risk factors for this class and an assessment reports 3 of them, each with its severity rating and its description. Which 3 are returned is derived from the submitted task's own seed. The factors are part of the assessment and are not published on this page.
Order a data processing assessment
A Standard Assessment costs EUR 1.90, an Extended Assessment EUR 4.90, and a Full Chart Assessment EUR 14.90 — the last of which carries the permanent chart itself. Assessments from EUR 1.90. Machine-readable pricing is published at /pricing.json, with no authentication required and no difference from the figures printed here.
The task class is selected on the order form. The verdict and the recommended execution window are computed from that selection together with the submitted parameters, and they appear on the certificate — not on this page, and not anywhere else in the directory.