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Dataset Schema Evolution Plan
x402
Dataset Schema Evolution Plan is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010064/call, status unknown (last checked 2026-10-28).
Compares old and new field declarations to detect directional breaking changes between two dataset schema versions
Price / call$0.010064
Success—
StatusUnknown
How this service works
Compare old/new field declarations for directional breaking changes. No semantic-equivalence proof or data migration.
Output
Returns a field-by-field comparison between the before and after schema declarations, flagging directional breaking changes such as removed fields, renamed fields, or type incompatibilities. Does not provide semantic equivalence proofs or data migration guidance.
Example use cases
API contract backward compatibility check
“My team is releasing a new version of our public dataset — the old schema had fields [user_id, status, timestamp] and the new one drops 'status' and adds 'state' and 'updated_at'. Can you check if those changes are breaking for downstream consumers? Treat it as public data.”
Data pipeline schema migration audit
“Before we cut over our data pipeline, compare these two synthetic dataset schemas for breaking changes: before has [record_id, value, unit, source] and after has [record_id, value, unit, source, confidence] with extra fields rejected.”
Open dataset versioning compliance review
“We're publishing a new version of our open dataset and need to flag any breaking field changes. Old fields are [doc_id, title, author, year] and new fields are [doc_id, title, author, publication_year, doi] — classify as public and check for directional breaking changes.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/verify/datasets/schema-evolution?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, structured check for directional breaking changes between two versions of a dataset schema without needing semantic equivalence proofs or migration scripts. Ideal for CI/CD pipelines, API versioning workflows, or pre-release data governance audits where a quick field-level diff suffices.
Side effects
- Invalid or empty field arrays (minItems:1 violated)
- Exceeding 64 fields in before or after arrays
- Invalid dataClass value outside 'synthetic' or 'public' enum
- Malformed JSON request body
- Payment failure via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| after | array | |
| before | array | |
| dataClass | string | |
| rejectExtraFields | boolean |
Tags
x402
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