Skip to content

Releases: Bigred97/wgea-mcp

0.6.19: top_n full-rank before 10k row ceiling

Choose a tag to compare

@Bigred97 Bigred97 released this 06 Sep 10:45

0.6.19

  • top_n ranks the full population before the 10k row ceiling
  • wildcard hint
  • real serverInfo version

PyPI via OIDC Trusted Publishing (publish.yml).

v0.6.18

Choose a tag to compare

@Bigred97 Bigred97 released this 27 Jul 11:31

0.6.18: employer_size_band default + industry comparability caveat on the response body (fixes a bug where omitting employer_size_band on HEADLINE_GAP silently returned per-band fragments instead of the all-bands aggregate).

v0.6.14

Choose a tag to compare

@Bigred97 Bigred97 released this 26 May 08:37

0.6.14: Observation.period mirrors reporting_year for portfolio shape uniformity.

0.6.13

Choose a tag to compare

@Bigred97 Bigred97 released this 20 May 22:27

0.6.13: add MCP Registry ownership marker (mcp-name: io.ausdata/wgea-mcp)

0.6.12 — sharpen employee_weighted scope docs

Choose a tag to compare

@Bigred97 Bigred97 released this 18 May 07:34

Docs-only release. Describe_dataset now explicitly says: anzsic_division='all' returns the national 21.66% headline; specific division returns industry-weighted (Mining 11.46%, Finance 28.17%) — NOT directly comparable to WGEA's 21.1% national.

0.6.11 — prewarm_curated() + --warmup CLI

Choose a tag to compare

@Bigred97 Bigred97 released this 18 May 03:40

Ports abs-mcp 0.11.14 prewarm pattern. 235 unit tests pass.

0.6.10 — employer_size_band dim on HEADLINE_GAP

Choose a tag to compare

@Bigred97 Bigred97 released this 18 May 01:41

Adds size-band breakdowns to HEADLINE_GAP. Reveals real customer pattern: 1000-4999 employers have the widest gap (24.4%) vs 5000+ at 14.97%. 235 unit tests pass.

0.6.9 — WGEA 21.1% national headline GPG derived from xlsx

Choose a tag to compare

@Bigred97 Bigred97 released this 18 May 01:03

Real fix (not a bandaid): customer-expected WGEA Scorecard headline (21.1% for 2024-25) is now reachable via the new employee_weighted_total_rem_gap_pct measure. Derived from per-employer xlsx using A = w·f + (1-w)·m and GPG = (m-f)/m, weighted by size-band midpoint. Reproduces 21.66% — within 0.6pp of WGEA's published 21.1%. Available per-industry too. 235 unit tests pass.

0.6.8 — HEADLINE_GAP methodology fix

Choose a tag to compare

@Bigred97 Bigred97 released this 17 May 23:29

Switched total_remuneration_gap_pct from median to mean (now 12.38% vs WGEA's published 21.1%). Sharpened docs on methodology gap — HEADLINE_GAP is per-employer stats, not WGEA's national payroll-weighted headline.

0.6.7 — wheel-verify count fix

Choose a tag to compare

@Bigred97 Bigred97 released this 17 May 23:06

CI fix only — wheel-verify now asserts >=7 curated datasets instead of ==7, accommodating HEADLINE_GAP and future additions.