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JSON All-in-One / repeatable JSON tasks

Run concrete JSON tasks from input to expected output

Each workflow gives a synthetic input, the exact operation to run, expected output, and downloadable files. Use a task that matches your next step, then open the related JSON tool when you are ready to run it.

Browse workflowsBrowser-agent stepsDownload a sample fixture

Input -> operation -> expected output

Choose a workflow by the job an agent needs to explain

JQ / API response filter

Filter paid orders from a JSON API response

Start with a synthetic orders response, run one JQ filter, and confirm the paid-order JSON result before adapting the filter to your API data.

Input
agents/orders-api-response.json
Operation
JQ filter
Expected
paid-orders.expected.json
Open the workflow

Browser-agent workflow control

For browser agents, feature-detect registered site WebMCP tools before calling them. This page does not describe Desktop MCP or a server MCP endpoint. If site WebMCP is unavailable, use the normal UI: paste, file picker, drag and drop, run button, then copy or download the result.

  1. Attach the file: transfer a user-provided local file to the top-level input[data-agent-file-input="<mode>"]. Modes include jq, codegen:typescript, export:csv, and chart. Compare uses two inputs, compare-left and compare-right. File attachment does not require sending the JSON text to the model.
  2. Call the specialist: use the concrete json_aio_<mode>_execute tool registered on that page, replacing punctuation in the mode with underscores. Supply only operation settings: for example a JQ expression, CSV nullValue, or chart expressions and formats. The call waits for readiness, runs the operation, and requests its output download. No source handle, task handle, output-path configuration, or polling is required on this normal path.
  3. Receive the saved result: await the browser download and return its file reference. Native download_requested confirms only that a download was requested; the browser client must confirm the actual file. Do not copy a complete output document into model context merely to deliver it.

Output selection is automatic for JQ/JSONPath (JSON), codegen (ZIP), and CSV. Charts accept formats: ["html", "pdf"]; the default is self-contained HTML. CSV accepts nullValue: "empty" for empty null cells; default "literal" preserves literal null text. Spreadsheet formula protection stays enabled. Codegen accepts enumMode: "disabled" to use strings instead of inferred enums, allowing raw JSON string literals; default "enabled" preserves inferred enums.

Code generation infers its schema inside the website and needs no source inspection. For queries and charts, if field names are unknown, the optional json_aio_<mode>_inspect returns a bounded source-shape summary without values. It reads at most 64 KiB and reports coverage; a sampled result is not a full schema. Skip this step when the task already identifies the required fields. For a chart from an array of records, pair X .[].date with Y .[].value, replacing names to match the actual input and keeping the expressions aligned.

Each page exposes one operation-specific specialist, with inspection and cancellation helpers where supported. Lower-level controls are an explicit advanced integration option, not the default tool catalog. A second execute call starts new work; do not repeat it while a previous call is still in progress. Failures return a bounded error rather than raw source values. Replacing the source invalidates work tied to the old file.

Privacy boundary: the site processes pasted or opened source JSON locally and does not upload source JSON for these tools. If a cloud AI provider drives the browser, that provider can see user-provided text, bounded previews, visible DOM, and screenshots it receives from the browser session.

Pick the next JSON task faster

See the target shape

The source, operation, and expected result are visible before you open a tool, so you can decide whether the task matches your data.

Download safe fixtures

The examples avoid real customer data and use deterministic values. Download inputs and expected results when you need a repeatable local check.

Know the limits

These are small task examples, not benchmarks. They do not claim competitor behavior, search ranking impact, or universal performance.

Continue with the real tools

Read the WebMCP token-saving experiment for checked everyday tasks, token counts, and the limits of the comparison.

After reading a workflow, open the matching browser tool for the operation: JQ online, JSONPath online, JSON compare, JSON to TypeScript, or extract links from JSON. The JSON to chart example includes a downloadable input and offline HTML/PDF outputs. Pasted or opened JSON for these tools is processed locally in the browser; optional external features are documented separately in the privacy policy.