← The evidence ledger
Evidence row 308916
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint b1355bc3-919d-4129-8983-827eac78d835
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 0fcd8ee0206f0f3cca7fe72ac91da18b1c7de45028d7aa271b3a8896445a086b
- Leaf
- 0xbcacdd4e2696f60fb5ef1474b619abb127e7e12d837fe0c240088213cfd72ef0
What was observed
{
"count": 68,
"tools": [
{
"description": "[agents] Detect contradictions between two free-text agent outputs (natural-language claim drift). For structured key/value claims that must agree, use detect_contradiction instead.",
"inputSchema": {
"properties": {
"statements": {
"example": [
"The model accuracy is 95%",
"The model fails 20% of the time"
],
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"statements"
],
"type": "object"
},
"name": "agents_contradiction"
},
{
"description": "[agents] Agent intent classification",
"inputSchema": {
"properties": {
"text": {
"example": "I need to fetch user data and store it in the database",
"type": "string"
}
},
"required": [
"text"
],
"type": "object"
},
"name": "agents_intent_classify"
},
{
"description": "[agents] Autonomous agent goal planning",
"inputSchema": {
"properties": {
"constraints": {
"additionalProperties": true,
"description": "Optional constraints for the plan (e.g., time limits, resource caps)",
"type": "object"
},
"goal": {
"example": "Deploy a web service with zero downtime",
"type": "string"
}
},
"required": [
"goal"
],
"type": "object"
},
"name": "agents_plan"
},
{
"description": "[agents] Register an agent",
"inputSchema": {
"properties": {
"agent_id": {
"example": "my-agent-001",
"type": "string"
},
"capabilities": {
"example": [
"inference",
"planning",
"code-generation"
],
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"agent_id",
"capabilities"
],
"type": "object"
},
"name": "agents_register"
},
{
"description": "[agents] Agent reputation and trust score",
"inputSchema": {
"properties": {
"agent_id": {
"example": "my-agent-001",
"type": "string"
}
},
"required": [
"agent_id"
],
"type": "object"
},
"name": "agents_reputation"
},
{
"description": "[agents] Semantic diff between two free-text agent outputs (meaning-level change, not text-level). Use forge_verify for build artifacts and drift_check for certified operational drift.",
"inputSchema": {
"properties": {
"context": {
"type": "string"
},
"output_a": {
"type": "string"
},
"output_b": {
"type": "string"
}
},
"required": [
"output_a",
"output_b"
],
"type": "object"
},
"name": "agents_semantic_diff"
},
{
"description": "[agents] Live swarm topology",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "agents_topology"
},
{
"description": "[Ledger product, entitlement: ledger] Recompute-audit an agent work claim: re-derive a deterministic SHA-256 digest from the claimed inputs and check it against the claimed digest. Returns GREEN (matches), RED (tampered), or UNVERIFIED (no claim supplied). Replay, not opinion. 3 free calls/day, then entitlement 'ledger'.",
"inputSchema": {
"properties": {
"claimed_digest": {
"description": "The agent's claimed SHA-256 digest to verify against. Omit for UNVERIFIED + the recomputed digest.",
"type": "string"
},
"inputs": {
"description": "The work/claim payload to recompute a digest over.",
"type": "object"
}
},
"required": [
"inputs"
],
"type": "object"
},
"name": "audit_work_claim"
},
{
"description": "[security] GDPR/CCPA compliance gate",
"inputSchema": {
"properties": {
"data_type": {
"example": "user_pii",
"type": "string"
},
"jurisdiction": {
"example": "EU",
"type": "string"
},
"operation": {
"example": "store",
"type": "string"
}
},
"required": [
"data_type",
"jurisdiction",
"operation"
],
"type": "object"
},
"name": "compliance_check"
},
{
"description": "[security] EU AI Act compliance certificate",
"inputSchema": {
"properties": {
"intended_purpose": {
"type": "string"
},
"risk_category": {
"enum": [
"minimal",
"limited",
"high",
"unacceptable"
],
"type": "string"
},
"system_id": {
"type": "string"
}
},
"required": [
"system_id",
"risk_category",
"intended_purpose"
],
"type": "object"
},
"name": "compliance_eu_ai_act"
},
{
"description": "[security] Explainability certificate (XPL-100-ExplainBound)",
"inputSchema": {
"properties": {
"decision_id": {
"type": "string"
},
"model_id": {
"type": "string"
},
"subject_context": {
"type": "object"
}
},
"required": [
"model_id",
"decision_id",
"subject_context"
],
"type": "object"
},
"name": "compliance_explain"
},
{
"description": "[security] Fairness proof (FNS-100-FairnessBound)",
"inputSchema": {
"properties": {
"dataset_id": {
"type": "string"
},
"metric": {
"example": "demographic_parity",
"type": "string"
},
"model_id": {
"type": "string"
},
"protected_attrs": {
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"model_id",
"dataset_id",
"protected_attrs",
"metric"
],
"type": "object"
},
"name": "compliance_fairness"
},
{
"description": "[security] Report compliance incident",
"inputSchema": {
"properties": {
"affected_users": {
"type": "integer"
},
"description": {
"type": "string"
},
"severity": {
"enum": [
"low",
"medium",
"high",
"critical"
],
"type": "string"
},
"system_id": {
"type": "string"
}
},
"required": [
"system_id",
"severity",
"description",
"affected_users"
],
"type": "object"
},
"name": "compliance_incident"
},
{
"description": "[security] Incident registry",
"inputSchema": {
"properties": {
"system_id": {
"type": "string"
}
},
"required": [
"system_id"
],
"type": "object"
},
"name": "compliance_incidents"
},
{
"description": "[security] Data lineage (LIN-100-ChainIntegrity)",
"inputSchema": {
"properties": {
"dataset_stages": {
"items": {
"type": "object"
},
"type": "array"
},
"model_id": {
"type": "string"
}
},
"required": [
"model_id",
"dataset_stages"
],
"type": "object"
},
"name": "compliance_lineage"
},
{
"description": "[security] Log oversight event",
"inputSchema": {
"properties": {
"decision": {
"type": "string"
},
"notes": {
"type": "string"
},
"reviewer_id": {
"type": "string"
},
"system_id": {
"type": "string"
}
},
"required": [
"system_id",
"reviewer_id",
"decision",
"notes"
],
"type": "object"
},
"name": "compliance_oversight"
},
{
"description": "[security] Oversight history",
"inputSchema": {
"properties": {
"system_id": {
"type": "string"
}
},
"required": [
"system_id"
],
"type": "object"
},
"name": "compliance_oversight_history"
},
{
"description": "[security] Transparency report",
"inputSchema": {
"properties": {
"include": {
"example": [
"incidents",
"oversight",
"fairness"
],
"items": {
"type": "string"
},
"type": "array"
},
"period": {
"example": "2026-Q1",
"type": "string"
},
"system_id": {
"type": "string"
}
},
"required": [
"system_id",
"period",
"include"
],
"type": "object"
},
"name": "compliance_transparency"
},
{
"description": "[defi] Bridge Proof (BRP-100-BridgeIntegrity)",
"inputSchema": {
"properties": {
"amount": {
"type": "number"
},
"bridge_id": {
"type": "string"
},
"dest_chain": {
"type": "string"
},
"source_chain": {
"type": "string"
},
"token": {
"type": "string"
}
},
"required": [
"bridge_id",
"source_chain",
"dest_chain",
"amount",
"token"
],
"type": "object"
},
"name": "defi_bridge_verify"
},
{
"description": "[defi] Contract Verify (CVR-100-AuditBound)",
"inputSchema": {
"properties": {
"contract_id": {
"type": "string"
},
"contract_type": {
"example": "erc20",
"type": "string"
}
},
"required": [
"contract_id",
"contract_type"
],
"type": "object"
},
"name": "defi_contract_audit"
},
{
"description": "[defi] Liquid Shield (LQS-100-LiquidationBound)",
"inputSchema": {
"properties": {
"collateral_factor": {
"format": "float",
"type": "number"
},
"collateral_value": {
"type": "number"
},
"debt_value": {
"type": "number"
},
"position_id": {
"type": "string"
}
},
"required": [
"position_id",
"collateral_value",
"debt_value",
"collateral_factor"
],
"type": "object"
},
"name": "defi_liquidation_check"
},
{
"description": "[defi] LP parameter optimization (DFP-100-OptimalTick)",
"inputSchema": {
"properties": {
"position": {
"properties": {
"amount_usd": {
"example": 10000,
"type": "number"
},
"token_a": {
"example": "ETH",
"type": "string"
},
"token_b": {
"example": "USDC",
"type": "string"
}
},
"type": "object"
},
"protocol": {
"example": "uniswap_v3",
"type": "string"
},
"risk_tolerance": {
"example": 0.5,
"format": "float",
"type": "number"
}
},
"required": [
"protocol",
"position",
"risk_tolerance"
],
"type": "object"
},
"name": "defi_optimize"
},
{
"description": "[defi] Oracle guard (OGD-100-ManipulationBound)",
"inputSchema": {
"properties": {
"asset": {
"type": "string"
},
"oracle_address": {
"type": "string"
},
"price_feed": {
"type": "string"
},
"reference_price": {
"type": "number"
},
"tvl_at_risk": {
"type": "number"
}
},
"required": [
"oracle_address",
"price_feed",
"reference_price",
"asset",
"tvl_at_risk"
],
"type": "object"
},
"name": "defi_oracle_verify"
},
{
"description": "[defi] DeFi risk scoring (DFI-101-RiskScoreBound)",
"inputSchema": {
"properties": {
"market_conditions": {
"type": "object"
},
"position": {
"type": "object"
},
"protocol": {
"type": "string"
}
},
"required": [
"protocol",
"position",
"market_conditions"
],
"type": "object"
},
"name": "defi_risk_score"
},
{
"description": "[defi] Yield Oracle (YLD-100-YieldConvergence)",
"inputSchema": {
"properties": {
"principal_usd": {
"example": 10000,
"type": "number"
},
"risk_tolerance": {
"example": 0.5,
"format": "float",
"type": "number"
}
},
"required": [
"principal_usd",
"risk_tolerance"
],
"type": "object"
},
"name": "defi_yield_optimize"
},
{
"description": "[Ledger product, entitlement: ledger] Detect contradictions across structured claims: the same key asserted with conflicting values flips RED, otherwise GREEN. Deterministic and recomputable. Use agents_contradiction instead when comparing free-text agent prose. 3 free calls/day, then entitlement 'ledger'.",
"inputSchema": {
"properties": {
"claims": {
"description": "List of claim objects, each with a 'key' (or 'subject') and a 'value'.",
"type": "array"
}
},
"required": [
"claims"
],
"type": "object"
},
"name": "detect_contradiction"
},
{
"description": "[trust] Drift certificate",
"inputSchema": {
"properties": {
"id": {
"type": "string"
}
},
"required": [
"id"
],
"type": "object"
},
"name": "drift_certificate"
},
{
"description": "[trust] DriftGuard check (DRG-100-DriftBound)",
"inputSchema": {
"properties": {
"current_window": {
"type": "object"
},
"model_id": {
"type": "string"
},
"reference_window": {
"type": "object"
}
},
"required": [
"model_id",
"reference_window",
"current_window"
],
"type": "object"
},
"name": "drift_check"
},
{
"description": "[Ledger product, entitlement: ledger] Enforce an SLA/obligation by recomputation: the obligation is met only if the work verifies GREEN against its claimed digest. 3 free calls/day, then entitlement 'ledger'.",
"inputSchema": {
"properties": {
"claimed_digest": {
"description": "Claimed digest the obligation is conditioned on.",
"type": "string"
},
"inputs": {
"description": "The work payload to verify.",
"type": "object"
},
"obligation": {
"description": "Human-readable obligation label.",
"type": "string"
}
},
"required": [
"inputs"
],
"type": "object"
},
"name": "enforce_sla"
},
{
"description": "[defi] Create agent-to-agent escrow",
"inputSchema": {
"properties": {
"amount": {
"type": "number"
},
"conditions": {
"type": "object"
},
"currency": {
"type": "string"
},
"payee_id": {
"type": "string"
},
"payer_id": {
"type": "string"
}
},
"required": [
"payer_id",
"payee_id",
"amount",
"currency"
],
"type": "object"
},
"name": "escrow_create"
},
{
"description": "[defi] Open escrow dispute",
"inputSchema": {
"properties": {
"escrow_id": {
"type": "string"
},
"evidence": {
"type": "object"
},
"reason": {
"type": "string"
}
},
"required": [
"escrow_id",
"reason"
],
"type": "object"
},
"name": "escrow_dispute"
},
{
"description": "[defi] Release escrowed funds",
"inputSchema": {
"properties": {
"escrow_id": {
"type": "string"
}
},
"required": [
"escrow_id"
],
"type": "object"
},
"name": "escrow_release"
},
{
"description": "[fuse] Model quality badge",
"inputSchema": {
"properties": {
"model": {
"description": "Model id to fetch the quality badge for.",
"example": "gpt-4o",
"type": "string"
}
},
"required": [
"model"
],
"type": "object"
},
"name": "forge_badge"
},
{
"description": "[fuse] Submit a model delta",
"inputSchema": {
"properties": {
"delta": {
"type": "object"
},
"description": {
"type": "string"
},
"model_id": {
"type": "string"
}
},
"required": [
"model_id",
"delta"
],
"type": "object"
},
"name": "forge_delta_submit"
},
{
"description": "[fuse] Model leaderboard",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "forge_leaderboard"
},
{
"description": "[fuse] Quarantined models",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "forge_quarantine"
},
{
"description": "[fuse] Verify a model submission",
"inputSchema": {
"properties": {
"model_id": {
"type": "string"
},
"verification_type": {
"type": "string"
}
},
"required": [
"model_id"
],
"type": "object"
},
"name": "forge_verify"
},
{
"description": "[identity] Sybil-resistance check",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "identity_sybil_check"
},
{
"description": "[identity] Topological identity verification",
"inputSchema": {
"properties": {
"agent_id": {
"example": "my-agent-001",
"type": "string"
}
},
"required": [
"agent_id"
],
"type": "object"
},
"name": "identity_verify"
},
{
"description": "[inference] Chat inference with hallucination guard",
"inputSchema": {
"properties": {
"messages": {
"example": [
{
"content": "What is formal verification?",
"role": "user"
}
],
"items": {
"properties": {
"content": {
"description": "Message content",
"type": "string"
},
"role": {
"description": "Message role",
"enum": [
"user",
"assistant",
"system"
],
"type": "string"
}
},
"required": [
"role",
"content"
],
"type": "object"
},
"type": "array"
}
},
"required": [
"messages"
],
"type": "object"
},
"name": "inference"
},
{
"description": "[inference] Streaming inference with chain-of-thought",
"inputSchema": {
"properties": {
"messages": {
"example": [
{
"content": "Explain formal verification step by step.",
"role": "user"
}
],
"items": {
"properties": {
"content": {
"description": "Message content",
"type": "string"
},
"role": {
"description": "Message role",
"enum": [
"user",
"assistant",
"system"
],
"type": "string"
}
},
"required": [
"role",
"content"
],
"type": "object"
},
"type": "array"
}
},
"required": [
"messages"
],
"type": "object"
},
"name": "inference_stream"
},
{
"description": "START HERE (free, no key). Initialize your Atomadic control surface in one call: returns a verbose, step-by-step setup (SDK install, MCP connect, your unlocked tools), a RUNNABLE polyglot demo that proves the superpowers, recon links, and a one-command bootstrap. Idempotent — re-call anytime to re-check.",
"inputSchema": {
"properties": {
"agent_id": {
"description": "Optional stable id to track your onboarding state across calls.",
"type": "string"
}
},
"type": "object"
},
"name": "murmuration"
},
{
"description": "[trust] Entropy epoch oracle",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "oracle_entropy"
},
{
"description": "[trust] Hallucination oracle",
"inputSchema": {
"properties": {
"claim": {
"example": "Water boils at 100°C at sea level",
"type": "string"
},
"context": {
"example": "physics",
"type": "string"
}
},
"required": [
"claim"
],
"type": "object"
},
"name": "oracle_hallucination"
},
{
"description": "[inference] Trusted RAG augmentation",
"inputSchema": {
"type": "object"
},
"name": "rag_augment"
},
{
"description": "[identity] RatchetGate — advance session",
"inputSchema": {
"properties": {
"session_id": {
"example": "sess-001",
"type": "string"
}
},
"required": [
"session_id"
],
"type": "object"
},
"name": "ratchet_advance"
},
{
"description": "[identity] RatchetGate — health probe",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "ratchet_probe"
},
{
"description": "[identity] RatchetGate — register session",
"inputSchema": {
"properties": {
"session_id": {
"example": "sess-001",
"type": "string"
}
},
"required": [
"session_id"
],
"type": "object"
},
"name": "ratchet_register"
},
{
"description": "[Ledger product, entitlement: ledger] Compute an agent's reputation from a ledger of verifiable receipts (verified minus refuted), deterministically - not from vibes or LLM judgment. 3 free calls/day, then entitlement 'ledger'.",
"inputSchema": {
"properties": {
"receipts": {
"description": "List of receipt objects, each with an 'ok' boolean and optional 'score'.",
"type": "array"
}
},
"required": [
"receipts"
],
"type": "object"
},
"name": "receipt_reputation"
},
{
"description": "[Fuse product · entitlement: fuse · FREE_R2_DEMO] Polyglot emit to all 7 supported targets in one call. Returns {ok, ir, results, languages}. Canonical demo examples baked to R2; novel inputs via SDK.",
"inputSchema": {
"properties": {
"atom_name": {
"description": "",
"type": "string"
},
"source_text": {
"description": "",
"type": "string"
}
},
"required": [
"source_text",
"atom_name"
],
"type": "object"
},
"name": "render_polyglot_all_pure"
},
{
"description": "[Fuse product · entitlement: fuse · FREE_R2_DEMO] Syntax-as-Data polyglot render head: source -> language-neutral logic IR -> source in target language. Canonical demo examples baked to R2 (4 examples × 12 languages). Live emit of novel inputs via the SDK.",
"inputSchema": {
"properties": {
"atom_name": {
"description": "",
"type": "string"
},
"language": {
"description": "",
"type": "string"
},
"source_text": {
"description": "",
"type": "string"
}
},
"required": [
"source_text",
"atom_name"
],
"type": "object"
},
"name": "render_polyglot_roundtrip_pure"
},
{
"description": "[agents] Record agent interaction",
"inputSchema": {
"properties": {
"agent_id": {
"type": "string"
},
"counterparty_id": {
"type": "string"
},
"interaction_type": {
"type": "string"
},
"outcome": {
"enum": [
"positive",
"negative",
"neutral"
],
"type": "string"
}
},
"required": [
"agent_id",
"interaction_type",
"outcome"
],
"type": "object"
},
"name": "reputation_record"
},
{
"description": "[inference] Quantum random number with proof",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "rng_quantum"
},
{
"description": "[inference] Verify current epoch random value",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "rng_verify"
},
{
"description": "[Ledger product, entitlement: ledger] Route a natural-language intent to a deterministic capability/pipeline coordinate. 3 free calls/day, then entitlement 'ledger'.",
"inputSchema": {
"properties": {
"intent": {
"description": "The natural-language intent to route.",
"type": "string"
}
},
"required": [
"intent"
],
"type": "object"
},
"name": "route_capability"
},
{
"description": "[security] Zero-day threat assessment",
"inputSchema": {
"properties": {
"context": {
"type": "object"
},
"target": {
"type": "string"
}
},
"required": [
"target"
],
"type": "object"
},
"name": "security_zero_day"
},
{
"description": "[agents] Register an SLA",
"inputSchema": {
"properties": {
"consumer_id": {
"type": "string"
},
"provider_id": {
"type": "string"
},
"terms": {
"type": "object"
}
},
"required": [
"provider_id",
"consumer_id",
"terms"
],
"type": "object"
},
"name": "sla_register"
},
{
"description": "[agents] Report SLA violation",
"inputSchema": {
"properties": {
"description": {
"type": "string"
},
"sla_id": {
"type": "string"
},
"violation_type": {
"type": "string"
}
},
"required": [
"sla_id",
"violation_type"
],
"type": "object"
},
"name": "sla_report"
},
{
"description": "[agents] Poll swarm inbox",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "swarm_inbox"
},
{
"description": "[agents] Relay message through swarm",
"inputSchema": {
"properties": {
"message": {
"type": "object"
},
"target_agent_id": {
"type": "string"
},
"ttl": {
"description": "Hop limit for relay",
"type": "integer"
}
},
"required": [
"target_agent_id",
"message"
],
"type": "object"
},
"name": "swarm_relay"
},
{
"description": "[inference] Keyword extraction",
"inputSchema": {
"properties": {
"max_keywords": {
"example": 10,
"type": "integer"
},
"text": {
"type": "string"
}
},
"required": [
"text"
],
"type": "object"
},
"name": "text_keywords"
},
{
"description": "[inference] Sentiment analysis",
"inputSchema": {
"properties": {
"text": {
"example": "This API is incredibly reliable and easy to use.",
"type": "string"
}
},
"required": [
"text"
],
"type": "object"
},
"name": "text_sentiment"
},
{
"description": "[inference] Text summarization",
"inputSchema": {
"properties": {
"text": {
"example": "Formal verification is the act of proving or disproving the correctness of intended algorithms underlying a system with respect to a certain formal specification or property, using formal methods of mathematics.",
"type": "string"
}
},
"required": [
"text"
],
"type": "object"
},
"name": "text_summarize"
},
{
"description": "[security] Multi-vector threat score",
"inputSchema": {
"properties": {
"agent_id": {
"example": "my-agent-001",
"type": "string"
},
"context": {
"example": "multi-agent-transaction",
"type": "string"
}
},
"required": [
"agent_id"
],
"type": "object"
},
"name": "threat_score"
},
{
"description": "[trust] Current trust ceiling value",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "trust_decay"
},
{
"description": "[trust] Trust score history",
"inputSchema": {
"properties": {
"agent_id": {
"type": "string"
}
},
"required": [
"agent_id"
],
"type": "object"
},
"name": "trust_history"
},
{
"description": "[trust] Bounded trust score",
"inputSchema": {
"properties": {
"agent_id": {
"type": "string"
}
},
"required": [
"agent_id"
],
"type": "object"
},
"name": "trust_score"
},
{
"description": "[Ledger product, entitlement: ledger] Proof-gated settlement: recompute the work digest and authorize a payout only if the claimed digest verifies GREEN. No proof, no payout. 3 free calls/day, then entitlement 'ledger'.",
"inputSchema": {
"properties": {
"claimed_digest": {
"description": "Claimed digest the payout is conditioned on.",
"type": "string"
},
"inputs": {
"description": "The work payload backing the settlement.",
"type": "object"
}
},
"required": [
"inputs"
],
"type": "object"
},
"name": "verify_settlement"
}
]
}What the leaf hashes
{"body":"0fcd8ee0206f0f3cca7fe72ac91da18b1c7de45028d7aa271b3a8896445a086b","id":308916,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793058580161664,"prev":null,"subject":"b1355bc3-919d-4129-8983-827eac78d835","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).
- 0xbcaccd8e22d5e06320b0c2dff3a1057454dd1f95ad11e03f124fa45c3c67e8d3
- 0x0e21062748f37cc3d0b3ebba05e627fafecc86fb9fb9eb386efb7b1ab6f9b26f
- 0x8e7aa6bef6552027fd3f9afe134d7bb81c0626c66c09ac73d9fa0c65277aac63
- 0x45b3fd44b2f84a582f12706a2b2d6791452ef72b7032c99163f045c2c9f2e872
- 0x9bf3bb191d1b221b26e7cf5cc205ebd502cdea828c020def9dd41b8e778e3cd7
- 0xd78a5388b51e1c9f6cf1033fb7e68526c692702818d9fd6e8a658d14d0aa11db
- 0xc79e4f6bed96bf2fd0b16ea3bdce40fd4be037e62d1ac2e14376e2784d879ba3
- 0xfcbb2ea1b72142518032d0b2d16f9f36e4d8807aec67ff06b295e089318bde73
- 0x6740e058d40bad51176be383b2c6faff2d8446eb13d7c54f192b7c04c71d008c
- 0x7096a251f9a01cad132ba398ebbd4caf06e5ec3cf4c8bdc56a7f1285eabd682f
- 0x747da36f7781b2b20c53f35968bf28ef3b43376581ce1ca8987f1d7a2a347e61
- 0x571bf2cc487a35d2ef7662b375d1fa9179fe0f6cab6f6cebdb1a6113d25f3c92
- 0xd5b5bb5812612371a70171b2252d90e95bb0581ea5a3be198122adc8442e4f79
- 0xf692ce2b0a640ec9f75aa960e5fb1c2c7091a04e24881798735752c19014e519
- 0x9f68b5e15459cb62b8c0cd4c124fa61c74147b4a5755a200fbecd21a581635d1
- 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
- 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
- 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae