{"protocolVersion":"0.3.0","name":"HALOWERK aialignwerk","description":"HALOWERK aialignwerk. Bezahlung über x402 in USDC auf Base Mainnet.","url":"https://aialign.halowerk.com","version":"1.0.0","preferredTransport":"JSONRPC","capabilities":{"streaming":false,"pushNotifications":false,"stateTransitionHistory":false},"defaultInputModes":["application/json"],"defaultOutputModes":["application/json"],"skills":[{"id":"aialignwerk_hallucination_rate","name":"Measures lexical evidence coverage for caller-supplied claims.","description":"Tokenizes each claim and its supplied evidence, removes a small declared English stop-word list, and reports the fraction of unique claim tokens present in evidence. Coverage below a supplied threshold is flagged. This is lexical grounding screening only: overlap does not prove truth, low overlap does not prove hallucination, and the service does not retrieve or validate evidence.","tags":["aialignwerk"],"examples":[],"inputModes":["application/json"],"outputModes":["application/json"]},{"id":"aialignwerk_sycophancy_detect","name":"Measures whether a response becomes more lexically aligned with a supplied leading position.","description":"Compares term-frequency cosine similarity between a leading user position and paired independent/conditioned responses, then reports the positive similarity shift. It is a reproducible surface-form signal, not proof of agreement, truthfulness, motive or sycophancy; paraphrases and legitimate corrections can evade or trigger it.","tags":["aialignwerk"],"examples":[],"inputModes":["application/json"],"outputModes":["application/json"]},{"id":"aialignwerk_goal_drift","name":"Quantifies change between supplied initial and current goal-weight vectors.","description":"Aligns caller-labeled dimensions, computes cosine similarity and a normalized L1 difference, and flags drift against a supplied cosine threshold. It does not infer goals from behavior, decide which goal is correct or detect deception; results depend entirely on the supplied vector representation.","tags":["aialignwerk"],"examples":[],"inputModes":["application/json"],"outputModes":["application/json"]},{"id":"aialignwerk_jailbreak_defense","name":"Screens a supplied prompt for common instruction-bypass and secret-request patterns.","description":"Applies a small fixed set of defensive regular-expression categories and returns category names, a bounded risk score and a review recommendation. It does not execute, transform or forward the prompt. Pattern matching is incomplete and can produce false positives; it should be one signal in layered controls, not the sole access decision.","tags":["aialignwerk"],"examples":[],"inputModes":["application/json"],"outputModes":["application/json"]},{"id":"aialignwerk_resource_hog","name":"Compares supplied agent resource usage with explicit per-agent budgets.","description":"Divides observed CPU, memory-time, network, tool-call and wall-time usage by caller-supplied budgets, reports exceeded dimensions and ranks observations by the maximum ratio. It does not collect telemetry, infer intent, identify inefficient algorithms or terminate an agent.","tags":["aialignwerk"],"examples":[],"inputModes":["application/json"],"outputModes":["application/json"]},{"id":"aialignwerk_bias_audit","name":"Computes aggregate outcome-rate disparities across caller-supplied groups.","description":"Calculates each group positive-outcome rate, compares it with an explicit or automatically selected reference group, and reports rate differences and selection-rate ratios. Aggregate disparity metrics do not establish discrimination, fairness, causation or legal compliance and can conceal intersectional or sampling effects.","tags":["aialignwerk"],"examples":[],"inputModes":["application/json"],"outputModes":["application/json"]},{"id":"aialignwerk_capability_eval","name":"Aggregates supplied capability-test outcomes by category and overall.","description":"Computes weighted pass rates and weighted scores from caller-labeled test outcomes, with deterministic category summaries. It does not run tests, validate labels, measure untested capabilities or establish deployment safety; the result is only as representative as the supplied evaluation set.","tags":["aialignwerk"],"examples":[],"inputModes":["application/json"],"outputModes":["application/json"]},{"id":"aialignwerk_agent_collusion","name":"Measures pairwise action coordination using observed agreement and Cohen-style kappa.","description":"Requires the same agents in each supplied round, computes each pair’s observed action agreement, expected agreement from marginal action frequencies and chance-corrected kappa, then flags high positive agreement against a supplied threshold. Coordination can be benign or task-driven; this metric does not prove communication, intent or collusion.","tags":["aialignwerk"],"examples":[],"inputModes":["application/json"],"outputModes":["application/json"]},{"id":"aialignwerk_memory_sanitize","name":"Redacts common credential and personal-data patterns from supplied memory text.","description":"Replaces private-key blocks, credential assignments, email addresses, Luhn-valid payment-card candidates, IPv4 addresses and phone-like digit strings, returning only sanitized text and per-category counts. The request archive stores only input field names and the result archive stores only this method via the endpoint factory. Pattern redaction is incomplete: it cannot identify every secret, name, address or contextual identifier and must not be treated as irreversible anonymization.","tags":["aialignwerk"],"examples":[],"inputModes":["application/json"],"outputModes":["application/json"]},{"id":"aialignwerk_confidence_calib","name":"Calculates Brier score and binned calibration error for supplied predictions.","description":"Compares scalar confidence with binary correctness, calculates mean squared Brier loss, partitions confidence into caller-selected equal-width bins and reports expected and maximum calibration error. It does not validate labels, correct class imbalance or prove calibration beyond the supplied sample.","tags":["aialignwerk"],"examples":[],"inputModes":["application/json"],"outputModes":["application/json"]}],"payment":{"protocol":"x402","network":"eip155:8453","asset":"USDC","recipient":"0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E","manifest":"https://aialign.halowerk.com/.well-known/x402"}}