xrpl.mcp.unl_composition

get_unl_status returns both canonical UNL lists (vl.ripple.com + vl.xrplf.org) with per-list validator counts, expiration, and overlap; honest_partial=True when one fetch failed.

red Third-party-derived data (external chain RPC, issuer attestation, primary-legislative source, edge header). Permanently free-only under the site's rule #3 — never sold even after the paid tier ships.

Machine-readable status: /claims/xrpl.mcp.unl_composition.json or send Accept: application/json on this URL. URI is permanent — safe to cite.

What this claim says

label: get_unl_status returns both canonical UNL lists (vl.ripple.com + vl.xrplf.org) with per-list validator counts, expiration, and overlap; honest_partial=True when one fetch failed.
page: /mcp
claim id (yaml): unl_composition
behavior: STEP_CHANGE
Layer 3 source: vl_ripple_com_vl_xrplf_org

Risk note

Honest-partial routing is the escape hatch — if one list fetch failed, envelope carries `honest_partial=True` + a scope_note naming which list is missing. An agent reading `honest_partial` knows to treat `overlap` as unavailable, not fabricated. Same two-source honesty the /network page publishes (network_unl_counts, line 552).

Evidence — code paths that back this claim

mcp_tools_ledger.py:tool_get_unl_status
network_state.fetch_network_state_cached (10min cache; same one /network reads)
cross_check_walker.py: cross_check_pair_5 (live vl fetch vs stored unl_snapshots)

Verify

CLAIMS.yaml on GitHub walker_health signed snapshot chain methodology · for AI agents

Sovereignty classification derives from the claim's Layer 3 source per /methodology. Last verified 2026-08-05. This surface is documented in docs/PAID_MACHINE_TIER_DESIGN.md § 3.1.