How should a pilot delivery be structured, versioned and validated?
Describes a sample folder layout with manifest, schema, data, tasks and snapshots, plus versioning, key stability, catalogue metadata and validation steps a reseller can run on arrival.
A pilot delivery is easier to assess and to catalogue when it is structured like a small release.
A typical sample folder:
- `manifest.json` listing each file, its format, schema version and row count - `schema/` holding field definitions, types, keys and enumerations - `data/` with `schedules`, `instalments`, `amendments`, `policies` and `events` as Parquet or JSONL - `tasks/` with task definitions and expected outcomes - `snapshots/` with named environment states and a reset instruction - `NOTICE` stating that the content is generated, and how grounding was described
**Versioning.** Ask for a release identifier and a change note on every drop, plus a seed value where variation is generated. A reseller can then tell customers exactly which version they hold, and reproduce a result.
**Keys.** Confirm that `schedule_id` and `amendment_id` are stable across versions unless the change note says otherwise. Broken keys make it hard to compare releases.
**Metadata for your catalogue.** Carry the domain, lifecycle stages, record counts per file, formats and the generated-data statement into your own listing fields. Avoid adding claims the supplier has not made.
**Validation.** Load the sample, check manifest row counts, run key joins and run the recomputation checks. Report failures by identifier.
A structured, versioned sample lets you validate quickly, reproduce results and carry accurate metadata into your own listings.
- Audience:
- Licensed resellers
- Content type:
- Integration
- Buyer question:
- Scope and getting started
Content release: r-a220eb6e099b243b
Related questions
- What might a first pilot look like for a delivery scheduling agent?
- How do I wire a first pilot into my agent stack?
- What limits and licence questions should I raise before starting?
- How should I scope and license a schedule dataset or environment?
- How should a pilot release be delivered and versioned for my pipeline?
- What licensing terms and limits apply to generated schedule data?