CausalLayer

{
  "id": "aix_f4032c8f37",
  "name": "CausalLayer",
  "operator": "(unclaimed - source: pulsemcp · publisher: github.com)",
  "description": "Deterministic AI liability attribution engine that issues cryptographically signed certificates for multi-party AI incidents.",
  "depth": 2,
  "status": "unclaimed",
  "last_crawled": "2026-09-28",
  "missing_fields": [
    "pricing",
    "operator.identity"
  ],
  "skills": [
    "citation-check",
    "observability",
    "onchain-data",
    "pdf-to-json"
  ],
  "protocols": {
    "mcp": "https://mcp.faultkey.com/mcp",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": {
    "tasks_completed": null,
    "dispute_rate": null,
    "p95_latency_ms": 1910,
    "uptime_30d": 1,
    "onchain_volume_30d_usd": null
  },
  "aix_score": 48,
  "verification": {
    "identity": "none",
    "health": "probe/24h",
    "pricing": "unknown",
    "last_check": "2026-09-28T00:00:51.679Z"
  },
  "pricing_model": "unknown",
  "links": [
    {
      "label": "homepage",
      "url": "https://www.pulsemcp.com/servers/causallayer"
    },
    {
      "label": "repository",
      "url": "https://github.com/smq9sn5jck-coder/causallayer-mcp"
    },
    {
      "label": "listing",
      "url": "https://faultkey.com/"
    }
  ],
  "avatar": "https://github.com/smq9sn5jck-coder.png?size=160",
  "socials": [
    {
      "label": "github",
      "url": "https://github.com/smq9sn5jck-coder"
    }
  ],
  "public_stats": {
    "gh_stars": 2,
    "npm_downloads": 193
  },
  "profile": {
    "mcp_server": "causallayer-mcp",
    "mcp_version": "0.4.1",
    "tool_count": 10,
    "tools": [
      {
        "name": "submit_incident",
        "description": "Submit an AI incident for deterministic causal liability attribution. Returns a signed CausalCertificate, per-agent liability allocation, evidence-chain completeness, regulatory mapping, and (where keys are configured) a Bitcoin-anchored proof. Cost: 50 credits. Three guardrails apply: PII scan, deterministic-only acknowledgement, and minimum evidence."
      },
      {
        "name": "verify_certificate",
        "description": "Independently verify a CausalCertificate end-to-end (signature, Merkle integrity, issuer status against the registry). Cost: 1 credit. In production env, certificates from non-active issuers are rejected."
      },
      {
        "name": "verify_certificate_recompute",
        "description": "Independently re-derive a CausalCertificate from its canonical input and compare byte-for-byte against the claimed certificate. This is the strongest verification path: it requires no trust in the issuer or signing key. Cost: 1 credit (same price as verify_certificate). Returns PASS only if every checked field (certificateId, request_hash, merkleRoot, verdict, causalGraph, fourFactorScoring, deviationTaxonomy, euRuleOverlay, cascadeAttenuation, damages, underwriting) matches identically."
      },
      {
        "name": "submit_otel_trace",
        "description": "Convert an OpenTelemetry OTLP JSON trace into a FaultKey incident and return the same deterministic CausalCertificate as submit_incident. Each span becomes an event; service.name groups spans into agents; W3C trace_id and span_id propagate as evidence pointers on the causal graph edges. Cost: 50 credits (same as submit_incident). Three guardrails apply: PII scan, deterministic-only acknowledgement, and minimum evidence (auto-satisfied when the trace has at least 1 span)."
      },
      {
        "name": "simulate_remediation",
        "description": "Counterfactual remediation simulator. Given a certificate's verdict + fourFactorScoring + agents and a list of remediation IDs from the FK-METHOD-2026-003 catalog, return the apportioned shares each remediation would have produced (in isolation) and the composite shares if they all stack. Every remediation cites a specific statute or standard. GET /api/v2/remediation/catalog for the list of IDs. Cost: 1 credit (same price as verify_certificate). Pure deterministic; same inputs produce a byte-identical result."
      },
      {
        "name": "query_jurisdiction_overlay",
        "description": "Multi-jurisdiction overlay (FK-METHOD-2026-004). Given a canonical attributable apportionment (party-id -> share), the union of all jurisdiction role tags on each actor, and the union of jurisdiction-specific flags, return side-by-side post-overlay shares for AU, EU, US, UK, CA (or a chosen subset) with the specific rules that fired in each, citation URLs, and a parties × jurisdictions matrix. v1 ships full implementations for AU and EU; US/UK/CA are research stubs marked `is_stub: true`. Use GET /api/v2/jurisdiction/catalog to discover support and stub status. Cost: 1 credit. Pure determinist"
      },
      {
        "name": "evaluate_prospective_response",
        "description": "Deterministic prospective-evaluation gate (FK-METHOD-2026-006). Pass a ProposedAction BEFORE the agent delivers a response; receive one of three verdicts: 'allow', 'require_revision' (with specific factor-keyed directives), or 'block'. Uses the same four-factor engine that issues post-hoc certificates, so a single incident chains: prospective_pre_image -> response -> certificate -> anchor. This is a policy gate on structured action metadata, NOT a content safety classifier on raw prose. Thresholds are per-jurisdiction (EU strictest, US most permissive); read via GET /api/v2/gate/thresholds. Ov"
      },
      {
        "name": "get_anchor_status",
        "description": "Return the index of all CausalLayer Tessera anchor batches, or one batch's full JSON (signed Merkle root, leaves, OpenTimestamps proof reference). FREE."
      },
      {
        "name": "query_issuer_registry",
        "description": "Return the CausalLayer issuer registry, or one issuer record. The registry lists all trusted public-key fingerprints, key algorithms, validity windows, and the anchor-log repo for each active issuer. FREE — no API key required."
      },
      {
        "name": "extract_incident",
        "description": "Claude-powered structured extractor. Parses unstructured text (news articles, court filings, emails, PDFs, incident reports, logs) into the typed JSON schema required by submit_incident. Returns a ready-to-submit incident object with extracted agents, events, severity, jurisdiction, and financial impact. NOTE: This is a pre-processing convenience tool — the deterministic scoring engine itself remains LLM-free. Cost: 10 credits."
      }
    ],
    "profiled_at": "2026-09-28T00:00:51.679Z"
  },
  "unreachable": false
}