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Referenced-Subject Lineage API
Offer an API and SDK that parses data-quality checks, custom SQL, and relationship targets into a normalized subject graph for secure filtering and auditing. The product would help platforms persist which underlying objects each check and run touched so permissions remain enforceable over time.
Why this matters
You cannot reliably secure historical check results if your system does not remember every object a check actually referenced. It is easy to gate actions at runtime when the config is present, but much harder to authorize old run records later when they were stored in a simplified form. If a custom SQL rule or relationship-based check touched a restricted object, that dependency needs to be captured and normalized up front. Otherwise, filtering degrades into guesswork and delayed patches. A lineage API focused on referenced-subject capture gives product teams a reusable way to persist dependency identities at authoring and execution time, making downstream read surfaces much easier to secure.
- · Built for Developers building data quality, observability, lineage, and governance products that need object-level dependency resolution..
- · Most likely monetization: API usage-based subscription.
The Pain · Narrative
You cannot reliably secure historical check results if your system does not remember every object a check actually referenced. It is easy to gate actions at runtime when the config is present, but much harder to authorize old run records later when they were stored in a simplified form. If a custom SQL rule or relationship-based check touched a restricted object, that dependency needs to be captured and normalized up front. Otherwise, filtering degrades into guesswork and delayed patches. A lineage API focused on referenced-subject capture gives product teams a reusable way to persist dependency identities at authoring and execution time, making downstream read surfaces much easier to secure.
Score Breakdown
Market Signal
Go-to-Market
Engineering teams building internal or commercial data products that store denormalized run history and need object-level access control.
~10K-50K relevant teams globally
cold outbound
$499/month
Win 3 pilot integrations where the API is used to secure at least one production read surface
MVP Scope · 1–2 weeks
- Support one SQL dialect and one declarative check schema for subject extraction
- Design a normalized subject-identity model with object type and namespace
- Build an API endpoint that returns referenced subjects for a check definition
- Create an SDK helper to persist subject snapshots on run creation
- Write example integrations for a mock check service and run-history table
- Add relationship-target resolution and custom SQL table extraction
- Implement a historical authorization helper for filtering runs by viewer scope
- Create audit logs showing which referenced subjects caused a row to be hidden
- Benchmark parser accuracy on a corpus of representative checks
- Package hosted API docs and self-serve keys for pilot users
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1The standalone API may be too low-level for many buyers unless bundled into a broader governance workflow.
- 2Dialect coverage and parsing accuracy may require more effort than an MVP budget allows.
- 3Open-source lineage tools could satisfy enough of the need for technically strong teams.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
A recurring theme is that historical rows and suite endpoints cannot be filtered correctly because they do not retain enough information about referenced objects. Multiple mentions focus on custom SQL tables, relationship targets, and the need to store normalized subject identities at creation or execution time. That points to a reusable infrastructure need rather than just a one-off bug fix.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Build
Strong demand signals detected. Real pain, real willingness to pay — start building an MVP.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Referenced-Subject Lineage API
Sub-headline
Offer an API and SDK that parses data-quality checks, custom SQL, and relationship targets into a normalized subject graph for secure filtering and auditing. The product would help platforms persist which underlying objects each check and run touched so permissions remain enforceable over time.
Who It's For
For Developers building data quality, observability, lineage, and governance products that need object-level dependency resolution.
Feature List
✓ SQL and config parsing into normalized referenced-subject identities ✓ Execution-time subject snapshotting for historical audits ✓ SDKs for filtering APIs and reports based on resolved dependencies
Where to Validate
Share your landing page in r/GitHub · PostHog/posthog — that's exactly where these pain points were discovered.
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