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crypto_wallet_intel

Read-only

Multi-chain on-chain analytics for crypto trading agents, on-chain analysts, AML/compliance teams and DeFi BD. Covers Ethereum, Base, Polygon, BSC, Arbitrum, Optimism — EVM-compatible addresses only.

5 modes: • wallet_profile — full wallet summary: type (EOA/contract/CEX/protocol), inferred persona (whale/MEV-bot/DeFi-user/hodler…), age, tx count, native balance, ERC-20 count, NFT collections, OFAC sanctions flag • token_flows — ERC-20 inflows/outflows per token on the selected period, priced in USD via CoinGecko • pnl_estimate — FIFO realized + unrealized P&L on the period with confidence rating (high/medium/low) • counterparties — top 20 counterparties ranked by USD volume with CEX/DEX/protocol labels • defi_positions — active DeFi positions detected via Etherscan interaction history (Aave/Compound/Uniswap/Curve/Lido/Balancer/SushiSwap)

Signal detection (P0/P1/P2): P0 if OFAC SDN match OR direct Tornado Cash / sanctioned-protocol interaction P1 if >$1M volume on wallet <30 days old OR MEV-bot pattern OR >80% volume on single counterparty P2 informational (CEX wallet, new wallet, no anomaly)

Sources: Etherscan family (keyless free-tier, optional API key per chain), DefiLlama (keyless), public EVM RPC (keyless), CoinGecko free tier (keyless). Cache TTL: 5 min (wallet activity evolves fast). Budget: 8s per source.

Env vars (all optional, raise Etherscan rate-limit from 1 req/5s to 5 req/s): ETHERSCAN_API_KEY · BASESCAN_API_KEY · POLYGONSCAN_API_KEY BSCSCAN_API_KEY · ARBISCAN_API_KEY · OPTIMISM_API_KEY

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYesAnalysis mode. wallet_profile=full wallet summary + persona + sanctions flag. token_flows=ERC-20 inflows/outflows per token priced in USD. pnl_estimate=FIFO realized+unrealized P&L with confidence. counterparties=top 20 counterparties by volume. defi_positions=active positions on Aave/Compound/Uniswap/Curve/Lido/etc.
asyncNoIf true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.
chainNoChain to analyze. Default "ethereum". Use "all" to scan all 6 chains (slower, ~30s).
addressYesEVM-compatible wallet address (0x... 40 hex chars). Works on all supported chains.
period_daysNoLookback window in days for token_flows, pnl_estimate, counterparties, defi_positions. Default 30.
min_value_usdNoMinimum USD value filter for token_flows and counterparties. Default $100.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYes
statusYes
addressYes
signalsYes
sourcesYes
token_flowsNo
pnl_estimateNo
quality_scoreYes
counterpartiesNo
defi_positionsNo
wallet_profileNo
chains_analyzedYes

TDQS

A4.6/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Beyond the annotations (readOnlyHint=true, openWorldHint=true), the description discloses rich behavioral traits: keyless free-tier sources with optional API keys that raise rate limits, cache TTL of 5 minutes, a budget of 8s per source, and the exact signal detection logic (P0/P1/P2). It also mentions that EVM-compatible addresses are supported. No contradiction with annotations exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is long but well-structured with clear sections for modes, signal detection, sources, and env vars. It is front-loaded with the primary purpose and then proceeds logically. Some content (e.g., the mode list) overlaps with schema descriptions, but the additional detail on signal detection and sources earns its place. It is appropriately sized for a complex multi-mode tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (5 modes, 6 chains) and the presence of a rich output schema, the description is remarkably complete. It explains supported chains, data sources, rate-limit behavior, cache TTL, performance budgets, and compliance signal logic. The async parameter and chain behavior are covered by the schema, so no gap remains. The description provides all necessary context for an agent to select and invoke this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already covers all parameters (100% coverage), so the baseline is 3. The description adds substantial meaning beyond the schema by detailing the output fields for each mode, e.g., 'wallet_profile' includes 'type (EOA/contract/CEX/protocol), inferred persona (whale/MEV-bot/DeFi-user/hodler…)', and 'pnl_estimate' includes 'confidence rating (high/medium/low)'. This enriches the semantics of the 'mode' parameter beyond the schema's one-line descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Multi-chain on-chain analytics for crypto trading agents, on-chain analysts, AML/compliance teams and DeFi BD.' It names the specific chains (Ethereum, Base, Polygon, BSC, Arbitrum, Optimism) and enumerates five distinct modes (wallet_profile, token_flows, pnl_estimate, counterparties, defi_positions), each with a brief explanation. This specificity distinguishes it from sibling tools like kyc_screener or x402_payment_flow_analyzer, which target different analytics.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear usage context by listing target audiences (trading agents, analysts, AML/compliance, DeFi BD) and describing the signal detection levels (P0/P1/P2) that trigger compliance alerts. It also notes that the 'all' chain option is slower (~30s). However, it does not explicitly state when NOT to use this tool or name alternative sibling tools for comparison, so it stops short of full exclusion guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

C2.4/5.0
Disambiguation1/5

Over 50 tools share the identical template 'Gapup agent-payable C-suite expertise' with similar French descriptions and reference cases, making their boundaries indistinguishable. Clusters like competitor_intel, competitive_deep_dive, competitor_moves, competitor_profiles, competitor_pricing_radar, competitor_pricing_scrape, and competitor_recommendations heavily overlap in purpose.

Naming Consistency1/5

Names are chaotic: mix of French and English, snake_case and camelCase, verb_noun, noun, and adjective forms with no uniform pattern. Examples like 'bp_narratif', 'content_enrichment', 'ai_governance_full_report_async', and 'job_result' show no coherent naming convention.

Tool Count1/5

271 tools is far beyond any reasonable MCP server scope, creating an overwhelming selection burden for agents. This count vastly exceeds the 25+ threshold for 'too many' and makes navigation impractical.

Completeness2/5

While the server covers many business domains, it lacks lifecycle operations (e.g., no update/delete tools for the deliverables it generates) and the input specifications are vague ('documented case fields' without documentation), creating functional dead ends. The sheer breadth does not compensate for these gaps.