Diogenes Microservice Gateway

Add to your project's .cursor/mcp.json or Cursor Settings > MCP:

{
  "mcpServers": {
    "diogenes": {
      "url": "https://diogenes-micro-gateway.corinth.workers.dev/mcp"
    }
  }
}

Add to your Claude Desktop config (Settings > Developer):

{
  "mcpServers": {
    "diogenes": {
      "url": "https://diogenes-micro-gateway.corinth.workers.dev/mcp"
    }
  }
}

Add to your Zed settings.json under context_servers:

{
  "context_servers": {
    "diogenes": {
      "url": "https://diogenes-micro-gateway.corinth.workers.dev/mcp"
    }
  }
}

15 MCP tools providing account-less access to all 45 Google Gemini models (Gemini 4 Argon, 3.1 Pro, 3.8 Flash) and AI agents (Antigravity Agent, Deep Research Pro, Computer Use, Nano Banana Pro, Veo 3, Lyria 3) via L402, x402, and MPP.

12 pre-execution and post-execution AI agent security tools: command injection gate, AST SQL validator, Python sandbox, MCP manifest & rug-pull auditors, sampling firewall, output scrubber, PII redactor, loop breaker, A2A card verifier, egress SSRF guard, and factuality auditor.

15 Web3, DeFi & HTTP 402 security tools: EVM/Move contract auditor, Solana Anchor CPI scanner, SPL risk & liquidity inspectors, whale flow tracker, Jito fee estimator, EIP-712 & EVM calldata decoders, MEV evaluator, address-poisoning detector, 402 verifier, Bitcoin UTXO planner, and non-KYC bridge comparator.

14 EVE: Frontier Sui Move tools covering the complete Smart Assembly lifecycle: assembly state inspector, Tribe standings auditor, Move contract generator, Smart Gate ACL compiler, PTB drain simulator, zkLogin verifier, route planner, Lagrange GJ & siege simulators, fuel radar, SSU pricer, arbitrage finder, killmail analyzer, and turret target matrix.

15 deterministic AI agent & developer tools: AST context skeleton pruner, BPE token budget planner, BM25+RRF+MMR hybrid reranker, self-healing fuzzy diff patcher, polyglot AST symbol & complexity analyzer, Tarjan circular dependency detector, stack-trace root-cause isolator, polyglot TypeScript/Zod/Pydantic compiler, Shunting-Yard math & IRR/NPV solver, Critical Path (CPM) scheduler, Welch/Bayesian A/B judge, RFC 7396 memory differ, OpenAPI breaking-change detector, boundary test-vector generator, and seeded Monte Carlo VaR/CVaR simulator.

14 data extraction, schema healing & workflow orchestration tools: malformed JSON healer, JSON Schema type enforcer, unstructured entity extractor, tabular dataset cleaner, O(n) ReDoS-safe regex synthesizer, XML prompt compiler, Python script synthesizer, RFC summarizer, grounded web brief, context compaction verifier, MCP workflow router, escrow arbiter, MPP session planner, and x402 embedding generator.

12 high-performance web extraction, readability & markdown tools: clean LLM markdown compiler, readable article extractor, OpenGraph & JSON-LD metadata parser, HTML table to JSON/Markdown converter, CSS selector isolator, paywall & overlay bypass auditor, XML sitemap crawler, hyperlink extractor, HTML XSS sanitizer, contact & lead info parser, SEO heading diagnostics, and RSS/Atom feed compiler.

12 real-time neural search, grounded research & factual verification tools: neural search synthesizer, deep research dossier compiler, Boolean & semantic query expander, curated domain registry filter, breaking news recency & velocity tracker, factual consensus claim verifier, scholarly citation compiler (BibTeX/APA/IEEE), topic subgraph clusterer, bull/bear media sentiment oracle, expert source ranker, chronological timeline synthesizer, and competitive landscape matrix.

12 deterministic database intelligence, AST SQL & schema reliability tools: natural language to SQL synthesizer, AST SQL injection & tautology auditor, query plan EXPLAIN optimizer, breaking schema migration differ, polyglot SQL transpiler (PostgreSQL/MySQL/SQLite), composite B-tree index advisor, relational 3NF/BCNF normalization validator, SQL telemetry PII scrubber, relational mock seed fixture generator, connection pool headroom calculator, transaction isolation hazard auditor, and ORM model compiler (Prisma/Drizzle/Zod).

Generates text completions and structured reasoning across all 45 Google Gemini foundation models (Gemini 4 Argon, 3.1 Pro, 3.8 Flash) with zero Google account or API key required. Use when running single-turn reasoning, coding, or analytical prompts on a specific Gemini model; for delegating multi-step complex tasks that require remote tool execution, use execute_antigravity_agent instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('model' defaults to 'gemini-4-argon'), supports '?demo=true' or L402 (50 sats), and returns HTTP 400 if invalid.

Dispatches a complex engineering or operational task to Google's Antigravity autonomous agent for multi-step planning, tool orchestration, and verified execution. Use when solving multi-stage software engineering or workflow tasks that require autonomous planning; for compiling exhaustive multi-source literature and market research dossiers, use conduct_deep_research_investigation instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('execution_mode' defaults to 'autonomous_verified'), supports '?demo=true' or L402 (150 sats), and returns HTTP 400 if invalid.

Runs an iterative, multi-hop investigative research session via Gemini Deep Research Pro, cross-examining primary sources to produce a cited technical report. Use when investigating complex scientific, architectural, or market questions requiring deep multi-hop synthesis; for running a fast single-turn Google Search grounded fact lookup, use search_gemini_grounded_web instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('depth_tier' defaults to 'quick_synthesis'), supports '?demo=true' or L402 (300 sats), and returns HTTP 400 if invalid.

Plans and executes OS-level desktop, browser DOM, and GUI coordinate actions (click, type, scroll, wait) using the Gemini Computer Use agent. Use when automating interactive web UIs or desktop workflows that lack a direct REST API; for running code-first API and terminal automation tasks, use execute_antigravity_agent instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'input' ('viewport_preset' defaults to 'desktop_1080p'), supports '?demo=true' or L402 (200 sats), and returns HTTP 400 if invalid.

Answers factual queries with live Google Search grounding, returning verified up-to-date answers accompanied by source URLs and grounding metadata. Use when verifying live web facts, documentation updates, or current events in a single low-latency call; for querying geographic places, coordinates, directions, and local business data via Google Maps grounding, use search_gemini_grounded_maps instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('recency_bias' defaults to 'past_24h'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.

Executes geospatial and point-of-interest queries grounded in live Google Maps data, returning verified addresses, coordinates, operating hours, and spatial context. Use when resolving physical locations, venues, transit distances, or regional infrastructure data; for searching general web articles, documentation, and news, use search_gemini_grounded_web instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('distance_units' defaults to 'metric_km'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.

Compiles a structured JSON research dossier ('key_findings', 'synthesis_quality_score', 'sources_cited') settled via Base EVM Machine Payments Protocol (MPP). Use when generating a strict-JSON cited intelligence brief paid via Base USDC MPP session headers; for running long-form narrative research reports via L402 Lightning, use conduct_deep_research_investigation instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'query' ('output_density' defaults to 'concise_5_points'), supports '?demo=true' or MPP (300 sats), and returns HTTP 400 if invalid.

Generates normalized 3,072-dimensional or 768-dimensional semantic vector embeddings via Google Gemini Embedding 2 for RAG indexing and cosine-similarity search. Use when embedding text passages or queries via L402 Lightning with configurable Matryoshka dimensions; for running live Google Search grounded factual queries, use search_gemini_grounded_web instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('model' defaults to 'gemini-embedding-2'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Evaluates untrusted agent prompts, bash commands, and tool arguments to block prompt injection, destructive shell commands, and private-key exfiltration. Use when screening a general shell command or user prompt before autonomous agent execution; for statically validating SQL database queries at the AST level, use validate_sql_query_ast instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'payload' ('action_type' defaults to 'bash_command'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

Parses LLM-generated SQL statements to block DDL/DML mutations (DROP, DELETE, UPDATE, GRANT), stacked queries, and UNION/comment SQL injection payloads. Use when verifying that an agent-authored SQL query is strictly read-only before running it on a database; for screening non-SQL bash commands or general agent prompts, use verify_agent_command_safety instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'query' ('dialect' defaults to 'postgres'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

Audits Python source code for forbidden syscalls (os, subprocess, socket, open, eval) and simulates isolated stdout execution. Use when running untrusted LLM-generated Python snippets inside an isolated sandbox; for checking shell commands or tool arguments without executing Python code, use verify_agent_command_safety instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'code' ('timeout_profile' defaults to 'fast_1s'), supports '?demo=true' or MPP (250 sats), and returns HTTP 400 if invalid.

Scans an external MCP server's initial tools/list manifest to detect tool-name shadowing (read_file, bash) and hidden prompt-injection directives in descriptions. Use when vetting a newly discovered third-party MCP server before mounting it into an agent session; for comparing a previously pinned MCP baseline against a live mid-session tools/list response, use detect_mcp_schema_rugpull instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'manifest_json' ('audit_profile' defaults to 'strict'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

Computes structural diffs between a pinned baseline MCP tools/list snapshot and a live server response to catch mid-session description or schema tampering. Use when verifying that a connected MCP server has not mutated its tool definitions mid-session; for performing a first-time static security audit on a single MCP manifest, use audit_mcp_server_manifest instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'baseline_tools_json' ('current_tools_json' defaults to 'standard'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

Audits inbound MCP sampling/createMessage callbacks from connected servers to block cross-server context snooping (includeContext='allServers') and token quota hijacking. Use when filtering a connected MCP server's request to sample the host LLM; for scrubbing text returned from a standard synchronous tools/call response, use sanitize_tool_output_stream instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'sampling_request_json' ('max_tokens_ceiling' defaults to '512'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

Sanitizes untrusted external tool or web-scrape outputs by stripping invisible Unicode Tag characters (U+E0000), neutralizing Markdown tracking image beacons, and defusing indirect prompt overrides. Use when cleaning raw third-party tool outputs or scraped web text before inserting it into the LLM context window; for redacting personal identifiable information (emails, SSNs, keys) from outbound text, use redact_sensitive_pii instead. Read-only edge call (32 KB, 60 RPM): accepts 'raw_tool_output' (with enum defaults), uses '?demo=true' or L402 (15 sats); HTTP 400 if invalid.

Redacts emails, phone numbers, SSNs, credit cards, API keys, and crypto private keys from text before logging or external transmission. Use when stripping personal data or secret credentials from prompts, logs, or outbound messages; for neutralizing indirect prompt injections and invisible Unicode in inbound tool responses, use sanitize_tool_output_stream instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('redaction_style' defaults to 'typed_token'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

Statically audits Solidity, Vyper, or Move smart contract source code for honeypot transfer taxes, hidden mint backdoors, proxy upgrade traps, and reentrancy. Use when auditing smart contract source code or bytecode before deploying or interacting with a protocol; for scanning Solana Anchor/Rust programs specifically for Cross-Program Invocation (CPI) signer/account vulnerabilities, use scan_solana_cpi_reentrancy instead. Read-only edge call (32 KB, 60 RPM): accepts 'code_or_address' ('chain' defaults to 'evm_solidity'), uses '?demo=true' or L402 (45 sats); HTTP 400 if invalid.

Scans Solana Anchor and native Rust program instructions for unverified Cross-Program Invocation (CPI) program IDs, missing signer checks, and PDA bump seed canonicalization bugs. Use when auditing Solana Rust/Anchor source code or instruction account structs for CPI privilege escalation; for checking live SPL token mint/freeze authorities and rug-pull risk by mint address, use evaluate_solana_token_risk instead. Read-only edge call (32 KB, 60 RPM): accepts 'rust_source_or_idl' ('framework' defaults to 'anchor'), uses '?demo=true' or L402 (30 sats); HTTP 400 if invalid.

Evaluates a Solana SPL token's rug-pull probability by checking active mint authority, freeze authority, mutable metadata, and top-holder concentration. Use when making a pre-trade security decision on whether a Solana SPL token is safe to buy; for retrieving SPL token symbol, decimals, and DEX liquidity pool metadata via x402, use inspect_solana_token_liquidity instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'token_address' ('risk_profile' defaults to 'strict_decentralized'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

Retrieves canonical Solana SPL token metadata including name, ticker symbol, decimal precision, and current mint/freeze authority addresses. Use when resolving SPL token decimals, ticker symbols, and registry metadata for portfolio or swap formatting; for computing a composite security risk score and binary should_transact verdict, use evaluate_solana_token_risk instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'mint' ('network' defaults to 'mainnet-beta'), supports '?demo=true' or x402 (20 sats), and returns HTTP 400 if invalid.

Tracks 24-hour net accumulation or distribution flows across top Solana whale wallets and flags coordinated insider wallet clusters for a given SPL token. Use when analyzing on-chain smart-money order flow and holder clustering on Solana; for checking static SPL contract mint/freeze authority permissions, use evaluate_solana_token_risk instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'token' ('window' defaults to '1h'), supports '?demo=true' or x402 (50 sats), and returns HTTP 400 if invalid.

Calculates optimal Solana compute-unit (CU) microlamport priority fees and Jito bundle tip lamports to achieve target block-inclusion probability. Use when setting SetComputeUnitPrice and Jito tips before broadcasting a Solana transaction; for querying Bitcoin L1 sat/vB mempool fee rates, use estimate_bitcoin_mempool_fees instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'priority_level' ('tx_type' defaults to 'simple_transfer'), supports '?demo=true' or x402 (10 sats), and returns HTTP 400 if invalid.

Decodes EIP-712 and Uniswap Permit2 off-chain typed-data payloads to verify spender identity, detect unlimited (uint256.max) token approvals, and flag expired deadlines. Use when inspecting an off-chain eth_signTypedData_v4 or Permit2 payload before signing; for decoding raw on-chain hex transaction calldata (0x...) for eth_sendTransaction, use simulate_evm_transaction_calldata instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'typed_data_json' ('chain_id' defaults to '1'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

Decodes raw EVM hexadecimal transaction calldata (0x...) by 4-byte function selector to expose hidden ERC-20 approve/transferFrom calls, setApprovalForAll drains, and multicall bundles. Use when auditing raw hex transaction data (to, value, data) before broadcasting an on-chain EVM transaction; for inspecting off-chain EIP-712 JSON typed-data signatures, use decode_eip712_permit_signature instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'calldata_hex' ('network' defaults to 'base_mainnet'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

Compresses large source files, logs, or transcripts by 50–80% to fit an LLM context budget while preserving 100% of function/class/type signatures, imports, error frames, and query-matched lines. Use when shrinking oversized source files or logs before feeding them into an LLM prompt; for counting BPE tokens across prompt segments and calculating multi-model inference costs without altering text, use plan_context_token_budget instead. Read-only edge call (32 KB, 60 RPM): accepts 'content' (with enum defaults), uses '?demo=true' or L402 (10 sats); HTTP 400 if invalid.

Counts subword BPE tokens across prompt segments, detects high-priority instructions trapped in the 35%–72% Lost-in-the-Middle attention trough, and calculates USD/satoshi costs across frontier LLMs. Use when auditing prompt token budgets, reordering prompt sections for primacy/recency attention, or comparing model API costs; for actively compressing and stripping low-salience lines from a single large file, use prune_context_skeleton instead. Read-only edge call (32 KB, 60 RPM): accepts 'segments_json' (with enum defaults), uses '?demo=true' or L402 (10 sats); HTTP 400 if invalid.

Reranks and deduplicates candidate RAG or search chunks against a query using Okapi BM25 (k1=1.5, b=0.75), Reciprocal Rank Fusion (RRF), and Maximal Marginal Relevance (MMR) Jaccard diversity filtering. Use when selecting the top-K highest-signal, non-redundant passages from vector search or grep results; for compressing a single contiguous source file while keeping its original line order, use prune_context_skeleton instead. Read-only edge call (32 KB, 60 RPM): accepts 'query' ('documents_json' defaults to 'standard'), uses '?demo=true' or L402 (15 sats); HTTP 400 if invalid.

Applies unified diffs (@@ ... @@) or SEARCH/REPLACE blocks to source code using sliding-window token similarity to resolve drifted line numbers, align indentation, and verify bracket balance. Use when healing and applying a code edit or diff that failed exact line matching due to line-number drift or whitespace differences; for inspecting function signatures, call trees, and cyclomatic complexity without modifying code, use analyze_ast_symbol_graph instead. Read-only call (32 KB, 60 RPM): accepts 'original_code' (with enum defaults), uses '?demo=true' or L402 (20 sats); HTTP 400 if invalid.

Extracts imports, exports, classes, interfaces, and functions with line numbers, intra-file call edges, McCabe cyclomatic complexity, and Halstead volume across TypeScript, Python, Rust, Go, and Move. Use when mapping the internal functions, call graph, and complexity hotspots of a source file before refactoring; for analyzing cross-file import DAGs, circular dependencies, and topological build order across multiple modules, use audit_module_dependency_cycles instead. Read-only call (32 KB, 60 RPM): accepts 'code' (with enum defaults), uses '?demo=true' or L402 (20 sats); HTTP 400 if invalid.

Runs Tarjan's Strongly Connected Components (SCC) algorithm on a module import map to detect circular dependencies, compute parallel topological build waves, and trace downstream change blast radius. Use when auditing multi-file import graphs for circular cycles or determining which downstream files must be re-tested after an edit; for extracting function-level symbols and cyclomatic complexity inside a single source file, use analyze_ast_symbol_graph instead. Read-only call (32 KB, 60 RPM): accepts 'modules_json' (with enum defaults), uses '?demo=true' or L402 (20 sats); HTTP 400 if invalid.

Parses noisy CI/terminal logs and multi-language stack traces (Node/TS, Python, Rust, Go), strips node_modules/stdlib frames to isolate the innermost failing user-code frame, and clusters repetitive logs into Drain templates. Use when triage-debugging test failures, crash dumps, or repetitive server error logs; for compressing general source code files or prose transcripts, use prune_context_skeleton instead. Read-only edge call (32 KB, 60 RPM): accepts 'raw_log' ('runtime_hint' defaults to 'auto_detect'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

Inspects a sample JSON payload (inferring UUID, ISO-8601 datetime, email, integer vs float, and array item types) and compiles strict TypeScript interfaces, Zod schemas, Python Pydantic v2 models, and JSON Schema Draft 2020-12. Use when generating static type definitions and runtime validators in TypeScript and Python from a sample JSON response; for extracting existing function/class symbols and complexity metrics from source code, use analyze_ast_symbol_graph instead. Read-only call (32 KB, 60 RPM): accepts 'sample_json' (with enum defaults), uses '?demo=true' or L402 (20 sats); HTTP 400 if invalid.

Repairs broken or truncated JSON strings by stripping markdown fences, removing trailing commas, balancing unclosed brackets/quotes, and converting Python literals (None/True/False) into valid RFC 8259 JSON. Use when fixing syntax-broken JSON strings that fail JSON.parse(); for coercing field types and pruning extra properties on already-parseable JSON objects against a target JSON Schema, use enforce_json_schema_types instead. Read-only edge call (32 KB, 60 RPM): accepts 'malformed_json' (with enum defaults), uses '?demo=true' or L402 (15 sats); HTTP 400 if invalid.

Validates a raw LLM output object against a target JSON Schema, automatically coercing mismatched scalar types (e.g. string '42' to integer 42), injecting schema defaults, and pruning undeclared hallucinated fields. Use when enforcing schema compliance and type safety on structured LLM outputs before passing them to typed APIs; for healing unparseable raw JSON text with broken quotes or trailing commas, use heal_malformed_json instead. Read-only edge call (32 KB, 60 RPM): accepts 'raw_output' (with enum defaults), uses '?demo=true' or L402 (15 sats); HTTP 400 if invalid.

Extracts structured JSON records, named entities, dates, and financial figures from unstructured prose, emails, or HTML/Markdown dumps. Use when converting unstructured natural-language text into a structured JSON array of entities; for validating and coercing an existing JSON payload against a formal JSON Schema, use enforce_json_schema_types instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('extraction_target' defaults to 'general_entities_and_metrics'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

Deduplicates repetitive lines or records, normalizes Unicode whitespace, strips HTML/control noise, and canonicalizes tabular text or JSON arrays. Use when cleaning noisy scraped lists, CSV rows, or duplicate log lines before indexing or analysis; for extracting typed JSON fields from free-form prose paragraphs, use extract_structured_json_entities instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'data' ('normalization_mode' defaults to 'exact_match'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

Synthesizes linear-time O(n) regular expressions free of catastrophic backtracking (ReDoS) and validates them against positive and negative test strings. Use when generating and verifying a regular expression pattern for input validation or lexical parsing; for repairing broken JSON syntax directly without writing custom regexes, use heal_malformed_json instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'description' ('flavor' defaults to 'ecmascript_js'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

Compiles a raw task description into a structured XML system prompt (<role>, <context>, <objective>, <constraints>, <workflow>, <output_format>) engineered to prevent instruction drift. Use when authoring or upgrading a system prompt for an autonomous agent or sub-agent workflow; for mapping a task objective to a concrete sequence of MCP tool calls, use route_mcp_workflow_plan instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'task' ('prompt_style' defaults to 'anthropic_xml_tags'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

Synthesizes PEP 8 compliant, self-contained Python 3 scripts, data parsers, and CLI utilities complete with type hints, docstrings, and inline assertion tests. Use when generating a standalone Python automation script or parser from a functional specification; for summarizing existing documentation or codebases into executive bullet points, use summarize_technical_document instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'prompt' ('dependency_policy' defaults to 'stdlib_only'), supports '?demo=true' or L402 (75 sats), and returns HTTP 400 if invalid.

Condenses long technical specifications, RFCs, research papers, or meeting transcripts into high-density executive bullet points preserving exact figures and decisions. Use when producing a human-readable executive summary of a single provided document; for researching a topic across the live web with Google Search citations, use synthesize_web_intelligence_brief instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'text' ('summary_format' defaults to 'executive_bullets'), supports '?demo=true' or L402 (50 sats), and returns HTTP 400 if invalid.

Converts raw HTML pages into clean, boilerplate-free, LLM-optimized Markdown with preserved hyperlinks and headings. Use when ingesting raw web documents or blog posts into agent context windows; for isolating tabular data into structured datasets, use parse_html_tables instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('conversion_mode' defaults to 'clean_semantic_article'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Extracts primary article body, author bylines, publication timestamps, and estimated reading duration from web pages. Use when stripping navigation bars, advertisement containers, and cookie banners to isolate core editorial content; for converting full HTML to markdown, use extract_clean_markdown instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('readability_profile' defaults to 'article_body_strict'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Extracts OpenGraph tags, Twitter Card metadata, canonical URLs, and Schema.org JSON-LD microdata scripts from HTML. Use when indexing social share cards, author identity, breadcrumbs, and rich snippet schemas for AI search agents; for scanning page hyperlinks and outbound references, use extract_page_hyperlinks instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('metadata_targets' defaults to 'all_protocols'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Detects and parses HTML table elements into structured JSON record arrays and GitHub-Flavored Markdown tabular grids. Use when converting financial statements, product comparison grids, or sports statistics into structured data tables; for extracting raw clean markdown prose, use extract_clean_markdown instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('output_format' defaults to 'markdown_and_json'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Evaluates CSS selector queries against HTML DOM trees to extract targeted inner text, outer HTML, or element attributes. Use when targeting specific elements like pricing badges, product titles, review cards, or navigation breadcrumbs; for parsing unstructured contact information, use extract_contact_info instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' and 'selector_query' ('extraction_mode' defaults to 'inner_text'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Audits web page DOM hierarchies to detect soft paywalls, blur overlays, modal gates, and recovers concealed body text. Use when diagnosing paywall obstructions, diagnosing subscriber gating scripts, or auditing content access barriers; for assessing general SEO hygiene, use evaluate_seo_diagnostics instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('detection_profile' defaults to 'heuristic_dom_overlay'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

Parses XML sitemaps and sitemap index files into structured URL trees with change frequency and last-modified filters. Use when discovering domain architectures, mapping crawl frontiers, or indexing blog/product catalogues; for extracting on-page hyperlinks from raw HTML, use extract_page_hyperlinks instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'sitemap_xml' ('filter_criteria' defaults to 'all_entries'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

Extracts, normalizes, and filters internal and external hyperlinks, anchor texts, and downloadable asset targets from HTML. Use when building site crawlers, auditing broken links, or extracting reference citations; for isolating primary readable article narrative text, use scrape_readable_article instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'html_content' ('link_scope' defaults to 'all_links'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Executes multi-domain semantic search query expansion, relevance re-ranking, and extractive factual snippet bundling. Use when retrieving grounded web knowledge, evaluating search results across diverse domains, and retrieving cited answers; for building deep research briefings, use compile_research_dossier instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'search_query' ('search_mode' defaults to 'hybrid_semantic_keyword'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

Compiles multi-source factual research briefs with verified citations, confidence intervals, and key analytical takeaways. Use when synthesizing comprehensive intelligence briefings on complex technical, scientific, or market developments; for rapid query search snippets, use synthesize_neural_search instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'research_topic' ('depth_level' defaults to 'executive_brief'), supports '?demo=true' or L402 (35 sats), and returns HTTP 400 if invalid.

Generates targeted Boolean queries, semantic synonym variations, and sub-question expansions from an ambiguous prompt. Use when overcoming query vocabulary mismatches and expanding search recall across academic, code, or patent databases; for scoping queries to domain categories, use filter_domain_intelligence instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'base_query' ('expansion_strategy' defaults to 'boolean_operators'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Scopes search execution and filters results strictly across verified high-reputation domain registries and regulatory bodies. Use when restricting search discovery to verified academic papers, SEC filings, official documentation, or legal statutes; for checking specific factual claims, use verify_factual_claims instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'query' ('domain_tier' defaults to 'academic_and_research'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Tracks breaking news feeds, clusters trending story cycles, and calculates story publication velocity over recent timeframes. Use when analyzing breaking market catalysts, emerging controversies, or ongoing product announcements; for evaluating sentiment polarity across media, use analyze_media_sentiment instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'topic' ('recency_window' defaults to 'past_24_hours'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

Audits factual statements against authoritative consensus sources and assigns truthfulness scores with counter-evidence. Use when checking disputed claims, detecting AI hallucinations, or validating quotes before citation; for formatting academic citations, use extract_scholarly_citations instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'claim_statement' ('verification_rigor' defaults to 'multi_source_consensus'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

Formats academic paper metadata and DOI identifiers into standard scholarly citation formats (BibTeX, APA, IEEE, MLA). Use when generating bibliographies for research papers, validating journal references, or resolving DOI identifiers; for structuring research timelines, use summarize_temporal_timeline instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'source_content_or_doi' ('citation_style' defaults to 'bibtex_format'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Discovers latent thematic clusters, subtopic branches, and conceptual relationships across document corpora. Use when structuring broad search results into distinct thematic silos or generating table of contents taxonomies; for tracking chronological milestones, use summarize_temporal_timeline instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'documents_or_queries' ('clustering_method' defaults to 'tf_idf_semantic_graph'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

Translates natural language questions into dialect-accurate, optimized SQL SELECT queries with schema awareness and safety checks. Use when generating reporting queries or automated data analytics pipelines; for analyzing SQL execution performance and EXPLAIN plans, use analyze_query_plan instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'natural_language_request' and 'schema_ddl' ('sql_dialect' defaults to 'postgresql_dialect'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

Statically parses SQL queries via AST lexical analysis to detect second-order injection, tautology conditions, and stacked queries. Use when auditing dynamic query parameters or untrusted user input before database execution; for sanitizing query strings for telemetry logging, use sanitize_sql_telemetry instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'raw_sql' ('audit_sensitivity' defaults to 'strict_zero_dynamic_taint'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Analyzes SQL EXPLAIN execution plans to detect sequential table scans, high-cost cartesian joins, and buffer memory bottlenecks. Use when diagnosing slow queries, optimizing database performance, or evaluating query cost; for getting index recommendations, use recommend_database_indexes instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'explain_plan_or_query' ('optimization_target' defaults to 'eliminate_seq_scans'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

Compares source and target DDL schemas to identify breaking changes, destructive column drops, and lock-inducing mutations. Use when verifying CI/CD migration scripts before production deployment to prevent downtime; for verifying relational normal form, use validate_schema_normalization instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'current_schema' and 'target_schema' ('risk_tolerance' defaults to 'zero_downtime_strict'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

Transpiles SQL queries and DDL schemas across PostgreSQL, MySQL, and SQLite dialects, rewriting functions and syntax quirks. Use when migrating application queries across database backends or testing against in-memory SQLite; for generating new queries from natural language, use synthesize_sql_query instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'sql_code' and 'source_dialect' ('target_dialect' defaults to 'sqlite'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Recommends optimal single-column and composite B-Tree/BRIN indexes based on slow query WHERE, JOIN, and ORDER BY clauses. Use when optimizing database response times and eliminating full-table scans; for inspecting full execution plans, use analyze_query_plan instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'slow_queries_or_workload' ('index_type_preference' defaults to 'btree_and_composite'), supports '?demo=true' or L402 (15 sats), and returns HTTP 400 if invalid.

Audits database schemas for third normal form (3NF) compliance, transitive dependencies, and missing foreign key constraints. Use when reviewing database architectures, preventing update anomalies, or validating relational integrity; for detecting breaking schema migrations, use detect_breaking_migrations instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'schema_ddl' ('target_normal_form' defaults to 'third_normal_form_3nf'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Masks PII, financial values, and credential literals from raw SQL query logs and slow-query dumps before telemetry storage. Use when scrubbing production database query logs before shipping to APM tools, Datadog, or external log collectors; for auditing SQL injection vulnerabilities, use audit_sql_injection_ast instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'query_logs' ('masking_policy' defaults to 'mask_pii_and_literals'), supports '?demo=true' or L402 (10 sats), and returns HTTP 400 if invalid.

Inspects live EVE Frontier Smart Assembly on-chain object metadata, owner capability ID, online power status, and attached Sui Move package digest. Use when verifying whether a Smart Turret, Smart Gate, or Smart Storage Unit is online and checking its bound Move module before interacting; for generating or auditing custom Sui Move assembly source code, use generate_eve_assembly_move instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'assembly_id' ('assembly_class' defaults to 'smart_gate'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

Audits EVE Frontier Tribe diplomatic standings, friendly/hostile reputation scores, and pilot override entries across solar systems. Use when checking diplomatic relations or detecting conflicting friendly-fire rules across tribe registries; for compiling those standings into executable Sui Move Smart Gate ACL bytecode, use compile_eve_gate_acl instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'tribe_id' ('standing_filter' defaults to 'all'), supports '?demo=true' or L402 (20 sats), and returns HTTP 400 if invalid.

Generates and statically audits Sui Move smart contract modules for EVE Frontier Smart Assemblies using Witness, Capability, and HotPotato patterns. Use when authoring custom Sui Move extensions for Smart Gates, Smart Turrets, or Smart Storage Units; for simulating pre-signed Programmable Transaction Block command arrays before wallet execution, use simulate_eve_sui_ptb instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'contract_type' ('assembly_id' defaults to 'standard'), supports '?demo=true' or L402 (45 sats), and returns HTTP 400 if invalid.

Compiles EVE Frontier Tribe access control lists, diplomatic standings, and surge-pricing toll rules into Sui Move Smart Gate AccessPolicy constraints. Use when configuring on-chain jump permissions and LUX/SUI toll schedules for a player-owned Smart Gate; for calculating optimal multi-system jump routes across existing stargates, use plan_eve_gate_route instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'gate_assembly_id' ('toll_mode' defaults to 'standing_tiered'), supports '?demo=true' or L402 (30 sats), and returns HTTP 400 if invalid.

Simulates Sui Programmable Transaction Block (PTB) command sequences to detect unauthorized coin splits, object transfers, and unconsumed HotPotato receipts. Use when auditing an untrusted EVE Frontier transaction bundle before signing with a pilot wallet; for verifying pilot zkLogin JWT proofs and character ownership capabilities, use verify_eve_zklogin_character instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'ptb_commands_json' ('strictness_mode' defaults to 'strict_zero_drain'), supports '?demo=true' or L402 (35 sats), and returns HTTP 400 if invalid.

Verifies EVE Frontier Sui zkLogin BN254 zero-knowledge proofs, ephemeral session signatures, and SmartCharacter ownership capabilities. Use when authenticating a pilot's off-chain OAuth/zkLogin session before granting tribe vault or dApp access; for auditing tribe-wide diplomatic standings and reputation registries, use audit_eve_tribe_standings instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'jwt_proof' ('ephemeral_scheme' defaults to 'ED25519'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

Calculates optimal stargate jump routes between EVE Frontier solar systems minimizing gigajoule fuel consumption, LUX gate tolls, or jump count. Use when plotting a ship transit path across public and tribe-restricted Smart Gates; for identifying multi-system commodity arbitrage trade loops across Smart Storage Units, use find_eve_ssu_arbitrage instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'origin_system' ('destination_system' defaults to 'standard'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.

Calculates Lagrange Network Node hourly gigajoule (GJ) fuel burn rates, capacity headroom, and offline vulnerability windows for connected Smart Assemblies. Use when balancing steady-state power allocations on a single Lagrange Network Node; for stress-testing node capacitor depletion under active hostile fleet bombardment, use simulate_eve_capacitor_siege instead. Stateless read-only edge call (max 32 KB, 60 RPM): accepts 'node_id' ('operating_profile' defaults to 'balanced'), supports '?demo=true' or L402 (25 sats), and returns HTTP 400 if invalid.