gov.halowerk.com x402 offerings

Splits caller-supplied proposal text into sentences, scores each sentence by normalized non-stopword frequency, and returns the highest-scoring sentences in source order. It does not infer unstated intent, verify claims, or produce an abstractive interpretation.

Sorts caller-supplied non-negative balances and computes the standard finite-sample Gini coefficient plus top-one and top-ten-percent shares. Results cover only supplied accounts and do not identify common ownership, custodians, vesting, delegation, or off-chain claims.

Joins caller-supplied vote vectors by proposal ID, encodes against/abstain/for as -1/0/1, and computes weighted cosine similarity plus exact agreement. It describes only supplied overlapping votes and does not infer ideology or future behavior.

Sorts unique scalar key/value entries through canonical JSON serialization and computes SHA-256. It verifies byte-level agreement with an optional claimed digest only; it does not prove block inclusion, timestamp, signer identity, or chain consensus.

Caps individual contributions when requested, computes each project’s raw quadratic match as (sum sqrt(contribution))² minus direct contributions, and allocates a fixed matching pool proportionally. It does not detect Sybil identities, move funds, or decide project eligibility.

Applies a fixed, published logistic equation to aggregate caller-supplied features and reports an estimated turnout range. It is an untrained scenario heuristic, not a calibrated election forecast, individual propensity score, or basis for voter targeting.

Joins scalar facts by field name and evaluates explicit equals, not-equals, numeric bound, membership, contains, and existence rules. It does not retrieve law, determine which rules apply, provide legal advice, or certify regulatory compliance.

Subtracts committed liabilities at month zero, then projects recurring inflow and operating outflow with caller-supplied monthly growth rates. It is a scenario calculation, not a forecast of prices, token liquidity, exchange rates, or future governance decisions.

Tokenizes caller-supplied text and counts matches against a small declared English/German unigram lexicon. It reports coverage and a normalized polarity score; it does not understand context, sarcasm, negation, policy merit, or public opinion.

Scores caller-supplied vote/transfer observations using cohort-relative transfer size, transfer recency, and repeated-counterparty count. The output is an investigative triage heuristic, not proof of vote buying, identity linkage, or wrongdoing.

Splits caller-supplied proposal text into sentences, scores each sentence by normalized non-stopword frequency, and returns the highest-scoring sentences in source order. It does not infer unstated i…