feat(tpsc): Third-Party Services Catalog (CUST-WP-0023)
Introduces TPSC for tracking external service dependencies with GDPR
compliance maturity (CNIL/IAPP CMMI scale), pricing model, ToS, and
data retention information across all repos.
Primary data:
- canon/tpsc/{openai,anthropic,gemini,openrouter}-api.yaml — service definitions
- tpsc.yaml in each repo (llm-connect seeded with 4 services)
State-hub additions:
- Migration j7e8f9a0b1c2: tpsc_catalog + tpsc_snapshots + tpsc_entries
- api/models/tpsc.py, api/schemas/tpsc.py, api/routers/tpsc.py
- /tpsc/catalog/, /tpsc/ingest/, /tpsc/snapshots/, /tpsc/report/gdpr endpoints
- 4 MCP tools: register_service, list_services, ingest_tpsc_tool, get_gdpr_report
- scripts/ingest_tpsc.py + make ingest-tpsc[/-all] targets
- Dashboard: tpsc.md page + docs/tpsc.md
GDPR maturity scale: unknown | non_compliant | initial | developing | defined | managed | certified
Warnings triggered at: unknown, non_compliant, initial
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
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canon/tpsc/gemini-api.yaml
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canon/tpsc/gemini-api.yaml
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slug: gemini-api
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name: Google Gemini API
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provider: Google LLC
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category: llm_inference
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website_url: https://ai.google.dev
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pricing_model: usage_based
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gdpr_maturity: defined
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gdpr_notes: >
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Google Cloud (including Vertex AI / Gemini API via Google Cloud) has a
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comprehensive GDPR compliance programme. DPA is part of Google Cloud ToS.
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Data Processing Addendum and SCCs available. Google Cloud has EU data
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residency options (data can stay in EU). Google AI Studio (free tier)
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has weaker protections — data may be used to improve Google products.
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Use Vertex AI / Google Cloud API endpoint for GDPR-adequate usage.
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Reference: https://cloud.google.com/terms/data-processing-addendum
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dpa_available: true
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tos_url: https://ai.google.dev/gemini-api/terms
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privacy_policy_url: https://policies.google.com/privacy
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data_processing_regions:
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- us
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- eu # when using Vertex AI with EU region selection
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data_retention_notes: >
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Google AI Studio: prompts may be reviewed by human raters and used to
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improve models. Google Cloud / Vertex AI: data not used for training,
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retained per Cloud data retention policy (configurable).
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status: active
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