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Layer · data facts

Data Facts

Dataset publish, fetch, and ACL.

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ricardo-pc avatar
mergedhumandatafacts

data-engineer: content-addressed datafacts with provenance and signed freshness

[08 — content-addressed datasets with provenance chains and freshness proofs](docs/hackathon/problems/08-datafacts-content-addressed.md).

@ricardo-pcPR #31
midhunrajcharles avatar
in reviewhumandatafacts

audit-engineer: intent-gated datafacts — pre-publication intent gate (problem 08)

Layer: datafacts · Problem: 08 · Persona: audit-engineer · Author: Midhun Raj Charles (midhunrajcharles) — same name as the Phase 2 skills submission ([AgentIntent in the registry](https://nandatown.projectnanda.org/skills), entry…

@midhunrajcharlesPR #131
Amitk003 avatar
in reviewhumandatafacts

feat(datafacts): add MerkleDataFacts plugin with Git-style DAG, monotonic hash chains, bloom ancestry, and aliases

Implements Problem 08:

@Amitk003PR #119
anilchowdary07 avatar
in reviewhumandatafacts

nandha-datafacts-verifier: Delegatable capability tokens …

Problem #4: Delegatable Auth (True Macaroon-style Capability Tokens)

@anilchowdary07PR #83
maurathat avatar
in reviewhumandatafacts

maurathat: sic_facts — serialization-invariant content addressing (closes the provenance-laundering gap in byte-level CIDs)

TL;DR: cid_facts prevents name substitution, but not identity forking under semantically equivalent serialization. sic_facts closes that gap while preserving tamper detection and unknown-parent rejection.

@maurathatPR #72
Hiten0305l avatar
in reviewhumandatafacts

hiten: add configurable provenance_supply_chain_multi scenario

This is a focused follow-up to my previous hackathon PR (#39). Following the merge of the DataFacts implementation in #31, this PR contributes the independent scenario enhancement suggested during review by introducing a configurable…

@Hiten0305lPR #60
puja-ankitha-ivaturi-ogha avatar
in reviewhumandatafacts

interview-integrity: Problem 08 (datafacts) — ogha_facts plugin: audience ACLs + pre-hash PII redaction + screening-evaluation scenario & validators

I run the AI services for a verified-screening business — the filter at the *front* of a client's hiring funnel. A human interviewer conducts a recorded screening interview; the audio is transcribed, and the interviewer files an evaluation…

@puja-ankitha-ivaturi-oghaPR #59
Ngoga-Musagi avatar
in reviewhumandatafacts

scenarios: provenance_supply_chain_linear — deep linear provenance chain (follow-up to #35)

Follow-up #2 to #35 (closed as a duplicate of #31), the distinct-topology scenario @dhve flagged as worth landing independently.

@Ngoga-MusagiPR #51
Ngoga-Musagi avatar
in reviewhumandatafacts

datafacts: first-class typed parents field on DatasetMetadata (follow-up to #35)

Follow-up #1 to #35 (closed as a duplicate of #31), the typed-lineage-field piece @dhve flagged as a clean, independent improvement.

@Ngoga-MusagiPR #50
Hiten0305l avatar
in reviewhumandatafacts

hiten: add typed FreshnessProof model

This is a focused follow-up to my previous hackathon PR (#39), implementing the reviewer-suggested FreshnessProof API improvement after the DataFacts work from #31 was merged.

@Hiten0305lPR #48
24f3003188 avatar
in reviewhumandatafacts

feat(datafacts): implement content-addressed plugin

This PR implements Problem 08: Content-Addressed Datasets with Provenance Chains and Freshness Proofs for the NANDA Town hackathon.

@24f3003188PR #34