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MCP server for Verilex Data — 20 datasets including NPI, SEC, OFAC sanctions, whale tracking, DEX trades, Polymarket signals, economic indicators, and more. Pay-per-query with USDC via x402.
The server presents 28 tools across 7 domains (company intelligence, contracts, crypto, DEX, economic indicators, token holders, address labels). All tools have descriptions (194-char baseline met), and input schemas are visible with type definitions and constraints. Naming follows verb_noun convention (query_*, search_*, lookup_*, get_*). However, output schemas are not documented, the code shows tools delegate to an HTTP API via apiGet() but the response structure is inferred only from descriptions. Parameter descriptions are good but could be more specific about dependencies (e.g., which signal_types are available in trader_signals). Error handling delegates to the backend API with staleness warnings but lacks recovery guidance in tool descriptions. Tool composition is reasonable, but some tools overlap conceptually (query_protocol_risk + query_network_stress + query_cohort_critical all target DeFi risk from different angles, clarity on when to use each would help). The Zod schema registration pattern is used correctly (seen in company.ts), validating inputs before API calls.
Get a unified company profile across all Verilex datasets. Searches by ticker symbol, SEC CIK number, or company name. Returns SEC filings, OTC data (shell risk, financials), patent portfolio, trademark registrations, and court cases — all in one response. This is the premium cross-dataset intelligence endpoint.
Get statistics about the government contracts dataset: total awards, agencies covered, date range, and data source information. Free endpoint.
Get statistics about the crypto intelligence dataset: total signals, total executions, networks and protocols active, date range. Free endpoint. Source: Liquidationbot multi-chain telemetry.
Get recent changes to DEX trade data since a given timestamp. Cost: $0.003 per query. Source: On-chain DEX analytics.
Get statistics about the DEX trading dataset: total trades, pairs tracked, chains and protocols covered, last updated. Free endpoint.
Output schemas not documented in tool definitions. Tools delegate to HTTP API via apiGet<T>(), but response structure (fields, types, nesting) is never formally declared. Agents cannot reason about downstream chaining or field availability.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | B | 74 | 2026-07-28+ | v2 |
Get recent changes to economic data since a given timestamp. Cost: $0.005 per query. Source: FRED, BLS, BEA.
Get statistics about the economic indicators dataset: total series, categories covered, date range, and data source information. Free endpoint.
Get recent changes to token holder data since a given timestamp. Cost: $0.02 per query. Source: On-chain token analytics.
Get Gini coefficient and distribution metrics for a token. Shows concentration risk, top-10/top-50 holder percentages, and supply distribution buckets. Cost: $0.02 per query. Source: On-chain token analytics.
Get statistics about the token holder dataset: total tokens tracked, total holder records, chains covered, last updated. Free endpoint.
Get recent changes to address labels since a given timestamp. Shows newly labeled addresses, risk score updates, and category changes. Cost: $0.005 per query. Source: On-chain address intelligence.
Get statistics about the address label dataset: total labeled addresses, categories covered, last updated timestamp. Free endpoint.
Look up a single federal contract award by its ID. Returns full award details including modifications, sub-awards, and performance history. Cost: $0.018 per query. Source: USAspending.gov.
Look up the label and risk score for a cryptocurrency address. Returns entity name, category (exchange, DeFi, bridge, etc.), risk flags, and compliance tags. Cost: $0.009 per query. Source: On-chain address intelligence.
Get near-liquidation cohort signals showing account populations by health factor tier (critical/high/moderate), entry/exit rates, and deterioration velocity. Early warning on borrowers entering critical health factor tiers. Source: Liquidationbot real-time telemetry.
List available trading pairs on decentralized exchanges. Filter by chain, base token, or quote token. Returns pair details with liquidity and volume. Cost: $0.001 per query. Source: On-chain DEX analytics.
Get recent swap transactions on decentralized exchanges. Filter by trading pair, chain, minimum size, and DEX protocol. Returns trade details including price, size, slippage, and maker/taker addresses. Cost: $0.003 per query. Source: On-chain DEX analytics.
Get volume statistics for DEX trading pairs. Shows 24h volume, 7d volume, trade count, and volume trends by pair and chain. Cost: $0.005 per query. Source: On-chain DEX analytics.
Get the top holders for a token contract address. Returns wallet addresses, balances, percentage of supply, and holder labels (exchange, whale, contract). Cost: $0.04 per query. Source: On-chain token analytics.
Get current values for economic indicators like CPI, GDP, unemployment, interest rates, and more. Filter by series ID, category, or frequency. Cost: $0.01 per query. Source: FRED, BLS, BEA.
Get network-level market stress indices combining liquidation intensity, gas costs, and execution failure rates. Provides a 0-100 composite stress score per blockchain. Useful for macro risk assessment across DeFi lending. Source: Liquidationbot real-time telemetry.
Get liquidation pressure and stress scores for DeFi lending protocols. Shows critical/high-risk account counts, health factor deterioration rate, and total debt at risk per protocol. Covers Aave V3, Compound V3, Venus, Radiant, Morpho Blue, LlamaLend, ZeroLend, MakerDAO across 6 chains. Source: Liquidationbot real-time telemetry.
Get upcoming economic data releases. Shows release dates, expected impact, prior values, and consensus forecasts. Cost: $0.01 per query. Source: FRED, BLS, BEA.
Get actual vs consensus comparison for recent economic releases. Shows beat/miss magnitude, historical surprise patterns, and market impact. Cost: $0.02 per query. Source: FRED, BLS, BEA.
Screen companies using financial, industry, IP, and litigation filters. Combine SIC industry codes, revenue/asset brackets, shell risk scores, patent/trademark/litigation flags, and short interest levels. Cross-references SEC, OTC, Patents, Trademarks, and PACER datasets.
Search federal contract awards by agency, vendor, NAICS code, or keyword. Returns award details including value, period of performance, and competition type. Cost: $0.018 per query. Source: USAspending.gov, updated daily.
Get vendor rankings by total award value. Shows top contractors by agency, total awards, and contract counts. Cost: $0.03 per query. Source: USAspending.gov.
Get recent alpha signals for traders and hedge funds. Signals include new 8-K filings, short interest spikes, new patent grants, new trademark filings, new litigation, and delinquent filers. Scans activity across all Verilex datasets over a configurable lookback period.
Parameter interdependencies not documented. For example, trader_signals accepts signal_types enum with values like 'new_8k', 'short_interest_spike', etc., but no description explains what signals are available or when each is relevant. Similarly, screen_companies filters on has_patents, has_trademarks, has_litigation without explaining which datasets provide each.
Error handling delegates entirely to backend. The apiGet() client wrapper checks response.ok and returns status, but tool descriptions do not guide LLMs on what to do if a query fails (e.g., retry, try an alternative tool, ask user for clarification). stalenessWarning() handles stale data but offers no recovery guidance.
Tool composition overlap in crypto domain. query_protocol_risk, query_network_stress, and query_cohort_critical all target DeFi risk. Descriptions do not explain when to call each (e.g., use query_network_stress for macro risk, query_protocol_risk for protocol-specific, query_cohort_critical for early warning on borrowers).
Stats tools (contract_stats, crypto_stats, dex_stats, econ_stats, holder_stats, label_stats) lack descriptions explaining what 'statistics' means. Are they row counts, date ranges, data freshness, or usage metrics? Vague descriptions reduce clarity on when to invoke discovery tools.