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@pasar6987/teamtailor

teamtailor API schema: 18 streams, 297 fields.

OSISchema 1.0Domain customer-feedbackOwner @pasar6987

Native (downloadable) · Latest 1.0.0 published Mar 4, 2026 · 18 datasets / 7 measures in the latest preview · Updated Mar 11, 2026

Snapshot

Registry facts before deep inspection

Format, origin, ownership, and release context surface first so the package can be qualified quickly.

Format

OSI

Latest release

1.0.0Published Mar 4, 2026

Origin

Native (downloadable)Managed directly in rawctx

Installability

DownloadableDirect rawctx snapshot download

Domain

customer-feedback

Source

Not linked

Owner

@pasar6987

Organization

Independent

Repository

Not linked

License

MIT

Visibility

Public

Tags

teamtailordata-integration

Schema preview

OSI 1.0

Model preview

Structure before documentation

Preview the package footprint first, then open the dedicated explorer if you need field-level inspection.

Models1
Datasets18
Measures7
Dimensions290
Relationships0
AI context1
models/teamtailor.osi.yamlAI context included
18 datasets7 measures290 dimensions0 relationships

Python handoff

Use this package directly in code

After structure review, move straight into typed reads with load() or compact LLM context with to_prompt().

Python SDK

Python example for @pasar6987/teamtailor

This example uses the current package ref and, when preview data is available, fills in real dataset names from the published summary.

import rawctx

model = rawctx.load("@pasar6987/teamtailor")
prompt = rawctx.to_prompt(
    "@pasar6987/teamtailor",
    datasets=["candidates", "custom-fields"],
    max_tokens=2000,
)

print(model.datasets)        # ["candidates", "custom-fields", "departments"]
print(model.measures)        # [Measure(name="job-applications.attributes.row-order", ...), Measure(name="stages.attributes.active-job-applications-count", ...), Measure(name="stages.attributes.rejected-job-applications-count", ...)]
print(model.dimensions)      # [Dimension(name="type", ...), Dimension(name="attributes", ...), Dimension(name="attributes.connected", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

README

Package narrative and examples

Use documentation after the package qualifies on source, preview, and installability.

@pasar6987/teamtailor

teamtailor API schema — 18 streams, 297 fields.

Overview

Count
Streams (Datasets)18
Dimensions290
Measures7
Relationships0

Streams

  • candidates — candidates data from teamtailor
  • custom-fields — custom-fields data from teamtailor
  • departments — departments data from teamtailor
  • jobs — jobs data from teamtailor
  • job-applications — job-applications data from teamtailor
  • job-offers — job-offers data from teamtailor
  • locations — locations data from teamtailor
  • users — users data from teamtailor
  • todos — todos data from teamtailor
  • teams — teams data from teamtailor
  • team_memberships — team_memberships data from teamtailor
  • stages — stages data from teamtailor
  • roles — roles data from teamtailor
  • regions — regions data from teamtailor
  • referrals — referrals data from teamtailor
  • questions — questions data from teamtailor
  • notes — notes data from teamtailor
  • nps_responses — nps_responses data from teamtailor

Install

rawctx snapshot-download @pasar6987/teamtailor

Topology

Semantic graph

Use the graph last, once the package has already qualified on release state, preview, and documentation.

Semantic Graph

Datasets 0 / Measures 0 / Dimensions 0 / Relationships 0

Loading semantic graph...

PackageDatasetMeasureDimensionRelationship