Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Analyze onchain activity across EVM networks using HyperSync for historical data, RPC for current state, Etherscan for ABI lookup, and CoinGecko for pricing. Use when users ask to decode transactions, trace token flow, query contract state, compute balances from logs, identify event emitters, or produce reproducible protocol-level analysis with commands and evidence. --- name: chain-analyst description: "Analyze onchain activity across EVM networks using HyperSync for historical data, RPC for current state, Etherscan for ABI lookup, and CoinGecko for pricing. Use when users ask to decode transactions, trace token flow, query contract state, compute balances from logs, identify event emitters, or produce reproducible protocol-level analysis with commands and evidence." license: MI Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
chain-analyst is best for query, the workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Analyze onchain activity across EVM networks using HyperSync for historical data, RPC for current state, Etherscan for ABI lookup, and CoinGecko for pricing. Use when users ask to decode transactions, trace token flow, query contract state, compute balances from logs, identify event emitters, or produce reproducible protocol-level analysis with commands and evidence. --- name: chain-analyst description: "Analyze onchain activity across EVM networks using HyperSync for historical data, RPC for current state, Etherscan for ABI lookup, and CoinGecko for pricing. Use when users ask to decode transactions, trace token flow, query contract state, compute balances from logs, identify event emitters, or produce reproducible protocol-level analysis with commands and evidence." license: MI
Public facts
5
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Lutr0
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.
Setup snapshot
git clone https://github.com/lutr0/chain-analyst.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Lutr0
Protocol compatibility
OpenClaw
Adoption signal
3 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
2
Snippets
0
Languages
typescript
Parameters
bash
for d in .agents .deepagents .claude .cursor .codex .opencode; do [ -f "$d/skills/chain-analyst/SKILL.md" ] && SKILL="$d/skills/chain-analyst" && break done
bash
# Analyze one tx end-to-end (tx/logs/traces + ABI fetch attempts) bash "$SKILL/scripts/analyze-tx.sh" <tx_hash> [network] # Query historical data with HyperSync # output mode: stream (default) or aggregate bash "$SKILL/scripts/hypersync-query.sh" <network> <query.json> [max_pages] [stream|aggregate] # Query current contract state via RPC bash "$SKILL/scripts/query-contract.sh" <method> <contract> [args...] [network] # Fetch verified ABI bash "$SKILL/scripts/get-contract-abi.sh" <address> [network] # Fetch current or historical token price bash "$SKILL/scripts/get-token-price.sh" <coin_id> [currency] [dd-mm-yyyy] # Batch contract reads bash "$SKILL/scripts/multicall.sh" <network> <calls.json>
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Analyze onchain activity across EVM networks using HyperSync for historical data, RPC for current state, Etherscan for ABI lookup, and CoinGecko for pricing. Use when users ask to decode transactions, trace token flow, query contract state, compute balances from logs, identify event emitters, or produce reproducible protocol-level analysis with commands and evidence. --- name: chain-analyst description: "Analyze onchain activity across EVM networks using HyperSync for historical data, RPC for current state, Etherscan for ABI lookup, and CoinGecko for pricing. Use when users ask to decode transactions, trace token flow, query contract state, compute balances from logs, identify event emitters, or produce reproducible protocol-level analysis with commands and evidence." license: MI
Use this skill to produce reproducible blockchain analysis from raw chain data.
Resolve the skill path first:
for d in .agents .deepagents .claude .cursor .codex .opencode; do
[ -f "$d/skills/chain-analyst/SKILL.md" ] && SKILL="$d/skills/chain-analyst" && break
done
Run the minimum-viable tool for each task:
# Analyze one tx end-to-end (tx/logs/traces + ABI fetch attempts)
bash "$SKILL/scripts/analyze-tx.sh" <tx_hash> [network]
# Query historical data with HyperSync
# output mode: stream (default) or aggregate
bash "$SKILL/scripts/hypersync-query.sh" <network> <query.json> [max_pages] [stream|aggregate]
# Query current contract state via RPC
bash "$SKILL/scripts/query-contract.sh" <method> <contract> [args...] [network]
# Fetch verified ABI
bash "$SKILL/scripts/get-contract-abi.sh" <address> [network]
# Fetch current or historical token price
bash "$SKILL/scripts/get-token-price.sh" <coin_id> [currency] [dd-mm-yyyy]
# Batch contract reads
bash "$SKILL/scripts/multicall.sh" <network> <calls.json>
Set required keys in a .env or .env.local file:
HYPERSYNC_API_TOKEN (required)ETHERSCAN_API_KEY (required)COINGECKO_API_KEY (optional)Scripts search these locations in order (last found value wins):
.env / .env.local.env / .env.localUse only KEY=VALUE lines in env files. Scripts treat env files as data and do not execute shell expressions.
Use this decision order:
analyze-tx.sh for a single transaction investigation.hypersync-query.sh for historical searches over logs/traces/transactions.query-contract.sh for latest state reads.multicall.sh when reading many contracts/methods in one run.HyperSync can query across millions of blocks in one request. Build queries using three top-level filters — transactions, logs, and traces — each narrowed by fields like address, topic, from/to.
Transaction queries:
transactions.from or transactions.to (or both as separate entries for union)transactions.to = contract addressLog queries (ERC20 Transfer(address,address,uint256) emits topic0 = signature hash, topic1 = from, topic2 = to — pad addresses to 32 bytes):
topics[0] = Transfer hash, topics[2] = padded recipienttopics[0] = Transfer hash, topics[1] = padded senderlogs.address = token contract to any Transfer filtertopics[0] = Swap event hash, logs.address = pooltopics[0] = Transfer hash, topics[1] = zero addresslogs.address = contract (no topic filter)Trace queries:
traces.to = contract, traces.call_type = ["call", "delegatecall"]traces.kind = ["create"]See references/hypersync-api.md for full query structure, field names, and ready-made recipes.
Built-in networks (with aliases): ethereum (eth, mainnet), base, arbitrum, optimism (op), polygon (matic).
For any other EVM chain, pass its canonical lowercase name directly (e.g. scroll, zksync, bsc, linea, avalanche). The scripts resolve URLs using these patterns:
https://{name}.hypersync.xyzhttps://{name}.drpc.orgFor ABI lookup via get-contract-abi.sh, chains outside the top 5 require a numeric chain ID instead of a name. Look up the chain ID at https://chainlist.org if needed.
For every final answer, include:
Use assets/analysis-report-template.md when you need a structured report.
Read references selectively:
references/hypersync-api.md when building or debugging HyperSync queries.references/etherscan-api.md when ABI lookup fails or chain ID mapping is unclear.references/coingecko-api.md when coin IDs/currencies or historical endpoints are uncertain.Before returning conclusions:
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/lutr0-chain-analyst/snapshot"
curl -s "https://xpersona.co/api/v1/agents/lutr0-chain-analyst/contract"
curl -s "https://xpersona.co/api/v1/agents/lutr0-chain-analyst/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 5d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/lutr0-chain-analyst/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/lutr0-chain-analyst/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/lutr0-chain-analyst/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/lutr0-chain-analyst/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/lutr0-chain-analyst/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/lutr0-chain-analyst/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T00:55:27.058Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "query",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "the",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:query|supported|profile capability:the|supported|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Lutr0",
"href": "https://github.com/lutr0/chain-analyst",
"sourceUrl": "https://github.com/lutr0/chain-analyst",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T01:13:15.271Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/lutr0-chain-analyst/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/lutr0-chain-analyst/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T01:13:15.271Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "3 GitHub stars",
"href": "https://github.com/lutr0/chain-analyst",
"sourceUrl": "https://github.com/lutr0/chain-analyst",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T01:13:15.271Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/lutr0-chain-analyst/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/lutr0-chain-analyst/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
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