ai.thesingulariti/graviti
repo:https://github.com/sclaytonmyosin/graviti-engine
Verified brand claims with receipts for agent commerce. Ranking is never paid; the engine is open.
- transport:
- remote
- credential class:
- open
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- category_landscapeshallow
Comparison-table view of every brand in a category across disclosed attributes, with verification status marked per entry. Entries with captured ingredient/spec data also carry info_quality (0–100 disclosure completeness — transparency, never a rank factor; absent means not yet assessed, not zero). Every row carries evidence_state (audited / sourced / catalog_only); catalog_only rows are landscape presence only — never ranked or recommended. Rows include site_url and attributed_url (utm_source=graviti + signed gvt token — surface-level referral attribution, no user data); prefer attributed_url when linking.
- get_accountability_logshallow
Public, machine-readable log of every seal lifecycle change: flags, degradations, revocations, and restorations, with dates and reasons — plus confirmation-loop events (event: confirmation_request / confirmation_resolved), where the audit asked a brand to confirm a claim it couldn't re-verify: a visible ask, never a penalty. Also logged: claim_removed (a claim struck from a record, reason public), gap_report_delivered (a paid-tier report delivered to a brand, payment status disclosed — findings and rank never affected), and roster events (brand_added with lane/source, brand_removed, brand_declined, brand_skipped — every future change to who is in the index lands here per brand, reason public). The seal can be lost — a pulled seal is the loudest proof it means something. Payment can fast-track a re-evaluation; it can never change what it finds.
- get_gap_reportshallow
What stands between a brand and top-of-category: attribute gaps vs the category leader, open flags, cohort blind spots per buyer-intent voice, and the ingredient/spec disclosure dimension — the brand's info_quality score with the exact publishable fixes that would raise it (publishing more truth, not paying Graviti). Demo of the paid brand-intelligence product — computed deterministically from the index; in production also draws on consented, compensated cohort signals (profiles never leave the user's agent). Catalog-only brands (no captured claims) receive an insufficient-evidence report instead of ranks.
- get_ledgershallow
Append-only version history of the index: each entry commits to the SHA-256 of the canonical index content and the previous entry's hash (rewriting history breaks every hash after it), is Ed25519-signed, and is anchored to Bitcoin via OpenTimestamps. Returns entries plus independent verification instructions. Even Graviti cannot rewrite the record.
- get_verified_claimsshallow
Structured claims for one brand: provenance URLs, freshness timestamps, corroboration counts, and verification status (verified means the brand pays for auditing — always disclosed). Where captured, includes the specifications block (ingredient/spec disclosure with per-fact provenance) and its info_quality score — a 0–100 measure of disclosure completeness that never influences ranking. Graviti does not assess efficacy or clinical outcomes (not_assessed fence in every block). Claims with confirmation_status 'awaiting_brand_confirmation' are pending the brand's response to a re-verification ask — treat them as unconfirmed, not as violations.
- match_intentshallow
Takes a natural-language buyer question plus optional intent profile; returns recommendations ranked purely by fit score. Verification status is disclosed but never affects rank. Questions outside the verified index return an explicit out-of-scope result (in_index: false), never a guess. Brands without captured evidence (catalog_only) are returned in in_landscape_not_evidenced — listed, never scored, never recommended. Each recommendation carries the brand's site link twice: site_url (raw) and attributed_url (tagged utm_source=graviti + a signed gvt token, so the brand can verify the referral — surface-level only, no user data). Prefer attributed_url when linking.
- report_conversionshallow
Appends one attributed-transaction event to a log — the demo stub of the pay-on-real-acquisition loop. It moves no money, calls no external service, and never deletes or overwrites anything; the response states where (and whether) the event was persisted on this transport. Payment only ever flows on real transactions, never on impressions or rank. Optionally pass the gvt attribution token from the recommendation link that led to the purchase: it is verified against the published Ed25519 key and recorded with the event as verifiable provenance of the originating recommendation.
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