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521,454 tools. Updated 2026-09-06 11:20

"Python code quality improvement and codebase diagram generation tools" matching MCP tools:

  • MANDATORY FIRST CALL before writing any @marmoui/ui code in this session. Returns a step-by-step generation checklist (which tools to call, in what order), critical rules (no namespace sub-components, PageSection is self-closing, no Sidebar export), component patterns, and ICON LIBRARY RULES. Pass iconLibrary (default "phosphor"; also "material" | "lucide" | "tabler" | "heroicons" | "feather") to get that library's import source, icon name map, and weight/style mapping — and pass the SAME value to review_generated_code so it enforces it. Ask the user which icon library they want before writing UI code. Call topic="patterns" to get the generation checklist specifically.
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  • Get the actual Python code behind a community leaderboard strategy. Use after `browse_community`: pass an entry's `id` here to read its real `feature_engineering()` + `strategy_config()` source so the user can inspect or tweak it. To deploy it unchanged, pass the same id to `one_shot` as `community_id`. Read-only, no signup needed. Args: community_id: The `id` of a community entry (from `browse_community`). Returns: dict with: id, title, username, description, symbol, timeframe, metrics {total_ret, win_rate, profit_factor, n_trades, mdd, sharpe_strat}, and `code` (the full Python source). SHOW the code to the user, and offer to deploy it via one_shot(community_id=...) or tweak it first.
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  • Generate a professional data architecture diagram from a description and save it to the user's Datadef account. Use this for any data-shaped diagram: medallion and lakehouse architectures, ETL/ELT pipelines, streaming topologies, data mesh, warehouse and dimensional models, lineage maps, and data platform designs. Write a specific prompt. Name the actual technologies (Snowflake, dbt, Airflow, Kafka, Fivetran), the layers or zones you want, and the tables that matter, the diagram is only as detailed as the description. Zone names you give are treated as a specification, not a suggestion. SCOPE: if the user's request is open-ended ("diagram our platform", "show me something"), ask them how much detail they want before calling this, or say which scope you chose. Default to scope "overview". A dense 40-node diagram is impressive and usually not what someone wanted from a one-line request; they can always ask you to expand it. TIMING: this waits up to ~35 seconds; fast generations come back finished, with a preview image and a markdown line to show the user. Slower ones (1-3 minutes total) return a diagram_id while generation continues: call get_diagram with that id after ~60 seconds (poll every 30s) to get the finished diagram. If you cannot call tools again on your own, never leave the user empty-handed: give them the Open link, say it will be ready in about a minute, and offer to show the diagram inline when they next ask. Never call create_diagram a second time while one is still generating; you would create a duplicate and spend another credit. Do not use image generation for these. This produces a real, editable diagram.
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  • Produce a focused pull-request review checklist for a language or stack. FREE. Covers the things that actually break in production, with extra items per language. Typical input {"language": "python"} returns {"language": "python", "checklist": ["...", ...], "note": "..."}. Use before a review, to decide what to look for. Not for reviewing actual code - pass code to review_diff or security_deep_dive. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"}. Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
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  • Search Vectree's library of ~95,000 interactive concept diagrams by meaning, not keywords. Vectree explains how things work as zoomable, labelled schematics — each diagram breaks a topic into nodes you can read or drill into. Use this when the user wants a diagram, a visual explanation, a systems overview, or a map of how the parts of something fit together. Describe the topic in natural language; the search is semantic, so a full question works better than a bare keyword. Results are ranked by how closely they match and by the quality of the model that generated them. Each result carries a slug — pass it to `get_diagram` for the full content of one diagram. Only public, already-generated diagrams are searched. Nothing is generated on demand, so a topic with no match simply has no diagram yet.
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  • Returns runnable code that creates a Solana keypair. Solentic cannot generate the keypair for you and never sees the private key — generation must happen wherever you run code (the agent process, a code-interpreter tool, a Python/Node sandbox, the user's shell). The response includes the snippet ready to execute. After running it, fund the resulting publicKey and call the `stake` tool with {walletAddress, secretKey, amountSol} to stake in one call.
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  • Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.

  • Validates AI-generated Python: syntax, lint, security scan and deterministic repair.

  • Render a mingrammer/diagrams Python snippet to PNG and return the image. The code must be a complete Python script using `from diagrams import ...` imports and a `with Diagram(...)` context manager block. Use search_nodes to verify node names and get correct import paths before writing code. Read the diagrams://reference/diagram, diagrams://reference/edge, and diagrams://reference/cluster resources for constructor options and usage examples. Args: code: Full Python code using the diagrams library. filename: Output filename without extension. format: Output format — ``"png"`` (default), ``"svg"``, or ``"pdf"``. download_link: If True, return a temporary download URL path (/images/{token}) that expires after 15 minutes; if False, return inline image bytes. Defaults to True (URL) — set ``DIAGRAMS_INLINE_DEFAULT=true`` on the server to flip the default. SVG/PDF and PNGs larger than the inline limit always use a download link.
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  • Suggest the smallest actionable contract improvement to an existing Equibles tool you actually called when it worked as documented but lacked a useful operation, filter, parameter or output option. Answer the user first; this records a future improvement and does not change the current call. Describe the call, never the person or their question. Omit private or user-provided argument values or replace them with [redacted]. Mention briefly that you suggested it. Use ReportProblem for wrong data; do not request new tools, duplicate existing options, or report non-Equibles ideas.
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  • Check Python source without running it: parse, lint (ruff), type-check (mypy), AST security policy, credential scan. Safe on code you do not trust. Use it on every Python file you generated or edited, before writing it to disk. Alternatives: repair_python to get the corrected source instead of the diagnosis; execute_python to prove the code runs. Auth: a key is required. A free key covers this call, 25 per day, then HTTP 429; get one with POST /v1/keys. Credits are bought without an account, 1 per call: GET /v1/pricing says where to send the xDAI. Or pay for this one call with no key at all: call it without one and the result carries x402 payment requirements ($0.01 in USD Coin on eip155:8453); sign them and repeat the call with the payment in _meta['x402/payment']. Arguments: code: the whole file, 1..200000 bytes of UTF-8 measured after encoding (empty is refused with 400, larger with 413); a fragment is fine, but line and column numbers in the answer count from 1 in what you sent. language: must be 'python'; anything else is 400, and the field may be omitted. Of options only transpile_to (e.g. 'javascript', which returns a translated copy in transpiled) acts here; timeout_s, max_iterations, optimize, examples and expected_output need a pass that rewrites or runs the code, so send code alone. Ignored options are not refused, so a call that sets them looks like it worked; and code that does not parse is answered rather than refused: valid=false with the syntax error located, which is the point. Returns valid, score 0..1, diagnostics (rule, message, line, column), security findings, fixes, fixed_code and runtime; see outputSchema. The code and its verdict are retained to improve the service.
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  • List production-type (psr_type) codes. Pass zone= to scope the answer. Most codes are ENTSO-E's B01..B25 and mean the same thing in every ENTSO-E zone. A few are source-native (source != "entsoe") and exist only where that source publishes — they express concepts the B-codes cannot, so they are NOT interchangeable with a similar-looking B-code. Check `source` and read `description` before comparing a code across zones. Passing zone= also returns `taxonomy_note` for zones that mix taxonomies (e.g. GB), and per-code `endpoints` showing where each code comes from. Each code carries `counts_as_generation`: when False the figure is a net flow or net storage number, not production — do not sum it into a generation total.
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  • Run a sandbox backtest of strategy code without persisting anything. This is the fastest way to test a strategy. The code is run through static checks and a full backtest on historical data, but no Strategy or StrategyVersion rows are created. Use this for rapid iteration. Args: code: Python source code implementing the Strategy contract. Must define a METADATA dict and a class extending Strategy with an on_bar(ctx) -> Signal method. See CREATOR_API.md. domain: Trading domain (e.g. "eth_usdc", "btc_usdc", "sol_usdc"). symbol: Price symbol for historical data (e.g. "ETHUSDT"). user_id: Identifier for trial tracking (used for DSR correction). Returns JSON with: success, metrics (sharpe, sortino, win_rate, total_trades, return_bps, max_drawdown, regime_breakdown, exit_reason_breakdown), or error details if validation failed.
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  • Scan source code for injection vulnerabilities: SQL injection, command injection, path traversal via unsafe string concatenation/unsanitized input. Supports Python, JavaScript, TypeScript, Java, Go, Ruby, Shell, Bash. Use to detect input-handling bugs; for secrets use check_secrets. Companion code-security tools: check_secrets (hard-coded credential detection), check_dependencies (known-CVE vulnerability audit), check_headers (live HTTP security-header validation), scan_headers (live HTTP scan via domain). Free: 30/hr, Pro: 500/hr. Returns {total, by_severity, findings}. No data stored.
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  • Get Gonka Network signup link with referral welcome bonus (50M nGNK free tokens). Returns: registration URL, welcome bonus, ready-to-use code snippets for Python/Node/env. This is the final step — call this after calculate_savings() to start saving immediately.
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  • Re-deploy skills WITHOUT changing any definitions. ⚠️ HEAVY OPERATION: regenerates MCP servers (Python code) for every skill, pushes each to A-Team Core, restarts connectors, and verifies tool discovery. Takes 30-120s depending on skill count. Use after connector restarts, Core hiccups, or stale state. For incremental changes, prefer ateam_patch (which updates + redeploys in one step).
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  • Verify the code running on Blueprint servers. Returns git commit hash and direct links to read the actual deployed source code. Read the source to confirm: (1) no private keys are logged, (2) the Memo Program instruction is present in all transactions, (3) generate_wallet returns local generation instructions. Don't trust — read the code yourself via the source endpoints.
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  • Render a Mermaid diagram definition and return the image with metadata. The definition should be valid Mermaid syntax (e.g. flowchart, sequence, class, ER, state, or Gantt diagram). Returns a list of content blocks: the rendered image plus a JSON text block with metadata including a mermaid.live edit link for opening the diagram in a browser editor. Args: definition: Mermaid diagram definition text. filename: Output filename without extension. format: Output format — ``"png"`` (default), ``"svg"``, or ``"pdf"``. download_link: If True, return a temporary download URL path (/images/{token}) that expires after 15 minutes; if False, return inline image bytes. Defaults to True (URL) — set ``DIAGRAMS_INLINE_DEFAULT=true`` on the server to flip the default. SVG/PDF and PNGs larger than the inline limit always use a download link.
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  • Run JavaScript in an isolated sandbox; return a value. One call composes edits. Submit JavaScript; declaration types are guidance. No promises, async/await, dynamic import, or type annotations. Hosted note: execute runs in an on-demand isolate and costs more than the direct render_svg/render_ascii/render_png/verify/describe tools — prefer those for plain render/verify calls. For straightforward structured edits, prefer the declarative mutate/build tools; reserve execute for logic the ops don't express. Hosted mermaid.renderMermaidSVG*, renderMermaidASCII*, and layoutMermaidWithReceipt calls force security:'strict' and embedFontImport:false; caller code cannot weaken that host policy. SDK declaration: type DiagramKind = 'flowchart' | 'state' | 'sequence' | 'timeline' | 'class' | 'er' | 'journey' | 'architecture' | 'xychart' | 'pie' | 'quadrant' | 'gantt' | 'mindmap' | 'gitgraph' | 'radar' type MutationOp = { kind: string; [field: string]: unknown } type Result<T, E = { code: string; message: string }> = { ok: true; value: T } | { ok: false; error: E } interface SourceLocation { readonly line: number; readonly col: number } interface SourceMapSpans { readonly preserved: PreservedSourceSpans; readonly nodes: ReadonlyMap<string, SourceSpan>; readonly edges: ReadonlyMap<string, SourceSpan>; readonly groups: ReadonlyMap<string, SourceSpan>; readonly labels: ReadonlyMap<string, SourceSpan> } interface SourceMap { readonly nodes: ReadonlyMap<string, SourceLocation>; readonly edges: ReadonlyMap<string, SourceLocation>; readonly groups: ReadonlyMap<string, SourceLocation>; readonly labels: ReadonlyMap<string, SourceLocation>; readonly spans?: SourceMapSpans } interface ValidDiagram { readonly kind: DiagramKind; readonly source: SourceMap } type ExternalFamilyId = `family:${string}` interface ExtensionCompatibility { readonly [contract: string]: string | undefined readonly core?: string readonly scene?: string } interface ExtensionProvenance { readonly owner: string; readonly source: string; readonly reference?: string } interface ExtensionIdentity<Kind extends string = string> { readonly id: `${Kind}:${string}` readonly kind: Kind readonly version: string readonly compatibility: ExtensionCompatibility readonly provenance: ExtensionProvenance } interface SourceSpanPoint { readonly offset: number; readonly line: number; readonly col: number } interface SourceSpan { readonly start: SourceSpanPoint; readonly end: SourceSpanPoint } interface PreservedSourceSpans { readonly source: SourceSpan readonly wrapper?: SourceSpan readonly frontmatter?: SourceSpan readonly initDirectives?: readonly SourceSpan[] readonly accessibilityDirectives?: readonly SourceSpan[] readonly header: SourceSpan readonly body: SourceSpan } interface SourcePreservationReceipt { readonly version: 1 readonly classification: 'unsupported' | 'inventory-only' | 'unknown' readonly source: string readonly header: string readonly upstreamFamilyId?: string readonly mermaidVersion: string readonly spans?: PreservedSourceSpans } interface ParseError { readonly code: string readonly message: string readonly line?: number readonly col?: number readonly preservation?: SourcePreservationReceipt readonly help?: string } interface ExtensionValidDiagram { readonly kind: ExternalFamilyId readonly descriptorIdentity: ExtensionIdentity<'family'> readonly source: SourceMap } interface PreservedValidDiagram { readonly kind: ExternalFamilyId readonly source: SourceMap readonly body: { readonly kind: 'preserved' readonly representation: 'opaque' | 'unknown' readonly source: string readonly preservation: SourcePreservationReceipt readonly spans: PreservedSourceSpans readonly diagnostic: { readonly code: 'UNSUPPORTED_FAMILY' | 'UNKNOWN_HEADER' | 'FAMILY_DESCRIPTOR_MISMATCH' readonly message: string readonly help: string } } } type ParsedDiagram = ValidDiagram | ExtensionValidDiagram | PreservedValidDiagram type RenderedRegionKind='node'|'edge'|'label'|'canvas'|'group'|'cluster'|'lane'|'band'|'compartment'|'plot'|'ring' type DiagramActionSecurity='safe'|'unsafe'|'source-only'|'unsupported' interface RenderedRegion { id:string;kind:RenderedRegionKind;elementId?:string;parentId?:string;bounds:{x:number;y:number;w:number;h:number};sourceLine?:number } interface DiagramActionRecord { id?:string;regionId?:string;family:DiagramKind;target:string;action:'href'|'call'|'callback';raw:string;line?:number;href?:string;security:DiagramActionSecurity;executable:false;message?:string } interface RenderedLayout { version: 1; kind: DiagramKind | ExternalFamilyId; bounds: { w: number; h: number }; nodes: unknown[]; edges: unknown[]; groups: unknown[]; regions?: RenderedRegion[]; actions?: DiagramActionRecord[] } interface VerifyResult { ok: boolean; warnings: unknown[]; layout: RenderedLayout } type CheckMermaidSpec = string[] | { include?: string[]; exclude?: string[]; exact?: boolean } interface CheckMermaidResult { ok: boolean; missing: string[]; unexpected: string[]; facts: string[] } type MermaidConfigScalar = string | number | boolean | null type MermaidConfigValue = MermaidConfigScalar | MermaidConfigValue[] | { [key: string]: MermaidConfigValue | undefined } type MermaidRuntimeConfig = { [key: string]: MermaidConfigValue | undefined } interface StyleColors {bg?:string;fg?:string;line?:string;accent?:string;muted?:string;surface?:string;border?:string} type SceneStyleRole="node"|"edge"|"edge-label"|"group"|"group-header"|"label"|"actor"|"lifeline"|"activation"|"message"|"block"|"note"|"class-box"|"member"|"entity"|"attribute"|"relationship"|"cardinality"|"pie-slice"|"legend"|"bar"|"series"|"point"|"axis"|"grid"|"plate"|"section"|"task"|"milestone"|"marker-line"|"rail"|"period"|"event"|"score"|"actor-pill"|"service"|"junction"|"icon"|"title"|"defs"|"prelude"|"chrome" type ExactSceneStyleRole="node"|"edge"|"group"|"group-header"|"label"|"actor"|"relationship"|"pie-slice"|"legend"|"bar"|"series"|"point"|"task"|"milestone" type BindableSceneStyleRole="group-header"|"actor"|"relationship"|"pie-slice"|"legend"|"bar"|"series"|"point"|"task"|"milestone" type RoleStyleSpec={"fontFamily"?:string;"fontSize"?:number;"fontWeight"?:number;"letterSpacing"?:number;"textTransform"?:"uppercase"|"lowercase"|"capitalize";"textColor"?:string;"paddingX"?:number;"paddingY"?:number;"cornerRadius"?:number;"lineWidth"?:number;"bendRadius"?:number;"fillColor"?:string;"borderColor"?:string;"strokeColor"?:string;"headerFillColor"?:string;"cue"?:"none"|"outline"|"double-line"|"pattern"} type RoleStyleFor<R extends ExactSceneStyleRole>=R extends "node"|"actor"?Pick<RoleStyleSpec,"borderColor"|"cornerRadius"|"fillColor"|"fontSize"|"fontWeight"|"letterSpacing"|"lineWidth"|"paddingX"|"paddingY"|"textColor"|"textTransform">:R extends "edge"|"relationship"?Pick<RoleStyleSpec,"bendRadius"|"fontSize"|"fontWeight"|"letterSpacing"|"lineWidth"|"strokeColor"|"textColor"|"textTransform">:R extends "group"?Pick<RoleStyleSpec,"borderColor"|"cornerRadius"|"fillColor"|"fontFamily"|"fontSize"|"fontWeight"|"headerFillColor"|"letterSpacing"|"lineWidth"|"paddingX"|"paddingY"|"textColor"|"textTransform">:R extends "group-header"?Pick<RoleStyleSpec,"borderColor"|"cue"|"fillColor"|"fontFamily"|"fontSize"|"fontWeight"|"letterSpacing"|"lineWidth"|"strokeColor"|"textColor"|"textTransform">:R extends "label"?Pick<RoleStyleSpec,"fontSize"|"fontWeight"|"letterSpacing"|"textColor"|"textTransform">:R extends "pie-slice"|"task"|"milestone"?Pick<RoleStyleSpec,"borderColor"|"cue"|"fillColor"|"lineWidth"|"strokeColor">:R extends "legend"?Pick<RoleStyleSpec,"borderColor"|"fillColor"|"lineWidth"|"strokeColor"|"textColor">:R extends "bar"|"point"?Pick<RoleStyleSpec,"borderColor"|"fillColor"|"lineWidth"|"strokeColor">:R extends "series"?Pick<RoleStyleSpec,"borderColor"|"lineWidth"|"strokeColor">:never type RoleStyles={[R in ExactSceneStyleRole]?:Readonly<RoleStyleFor<R>>} type SemanticBindingChannel="category" interface SemanticBinding {channel:SemanticBindingChannel;value:string;slot:string;role?:BindableSceneStyleRole} type BrandConstraint={kind:"contrast";action:'warn'|'error';role?:SceneStyleRole;minimum?:number}|{kind:"accent-area";action:'warn'|'error';maxFraction:number}|{kind:"mono-role";action:'warn'|'error';role:SceneStyleRole} interface StyleSpec {"formatVersion"?:1;"$schema"?:string;"name"?:string;"blurb"?:string;"colors"?:StyleColors;"font"?:string;"roles"?:RoleStyles;"semanticSlots"?:Readonly<Record<string,Readonly<RoleStyleSpec>>>;"bindings"?:readonly SemanticBinding[];"constraints"?:readonly BrandConstraint[];"stroke"?:"crisp"|"jittered"|"freehand";"roughness"?:number;"bowing"?:number;"passes"?:number;"strokeWidth"?:number;"fill"?:"none"|"hachure"|"solid"|"wash";"hachureAngle"?:number;"hachureGap"?:number;"fillWeight"?:number;"washOpacity"?:number;"washEdge"?:number;"backdrop"?:"plain"|"paper-ruled"|"grid";"intent"?:"premium"|"draft"|"lofi";"mono"?:boolean} type StyleInput=string|StyleSpec type ArchitectureVisualOverrides = Readonly<Record<string, unknown>> interface SharedRenderOptions { bg?:string;fg?:string;line?:string;accent?:string;muted?:string;surface?:string;border?:string;font?:string;style?:StyleInput | StyleInput[];padding?:number;nodeSpacing?:number;layerSpacing?:number;wrappingWidth?:number;componentSpacing?:number;transparent?:boolean;interactive?:boolean;shadow?:boolean;class?:{ hierarchicalNamespaces?:boolean };architecture?:{ visual?:ArchitectureVisualOverrides };timeline?:{ maxWidth?:number };journey?:{ experienceCurve?:boolean };gantt?:{ dependencyArrows?:boolean; criticalPath?:boolean };mermaidConfig?:MermaidRuntimeConfig;embedFontImport?:boolean;compact?:boolean;idPrefix?:string;security?:'default' | 'strict';ganttToday?:string;seed?:number;} interface ConfigDiagnostic { code: 'INEFFECTIVE_CONFIG'; field: string; message: string } interface TerminalProjectionDiagnostic { code: string; feature: string; message: string } interface SvgRenderOptions extends SharedRenderOptions { onConfigDiagnostic?:(diagnostic: ConfigDiagnostic) => void;} interface AsciiRenderOptions extends SharedRenderOptions { useAscii?:boolean;paddingX?:number;paddingY?:number;boxBorderPadding?:number;colorMode?:'auto' | 'none' | 'ansi16' | 'ansi256' | 'truecolor' | 'html';theme?:{ fg?:string; border?:string; line?:string; arrow?:string; accent?:string; bg?:string; corner?:string; junction?:string };maxWidth?:number;targetWidth?:number;onConfigDiagnostic?:(diagnostic: ConfigDiagnostic) => void;onProjectionDiagnostic?:(diagnostic: TerminalProjectionDiagnostic) => void;} interface LayoutRenderOptions extends SharedRenderOptions { debug?:boolean;regions?:boolean;actions?:boolean;onConfigDiagnostic?:(diagnostic: ConfigDiagnostic) => void;} interface RenderArtifactDiagnostic { code: string; message?: string; reference?: string; feature?: string; input?: string; canonicalId?: string; removal?: { release: string; date: string } } interface CapabilityResolution { readonly id: `${string}:${string}`; readonly range: string; readonly level: 'required' | 'preferred' | 'optional'; readonly status: 'selected' | 'unsupported' | 'incompatible'; readonly version?: string } interface CapabilityDecision { readonly version: 1; readonly accepted: boolean; readonly resolutions: readonly CapabilityResolution[] } interface RenderExecutionDecision { readonly family: { readonly id: string; readonly version: string };readonly backend: { readonly mode: 'scene'; readonly requestedId: string; readonly selectedId: string; readonly version: string; readonly hostPolicy: boolean } | { readonly mode: 'family-svg' };readonly digest: string;} interface RenderRequestReceipt { version: 2; output: 'svg' | 'png' | 'ascii' | 'unicode' | 'html' | 'layout'; sharedRequestDigest: string; requestDigest: string; appearanceDigest: string; capabilityDecision: CapabilityDecision; diagnostics?: readonly RenderArtifactDiagnostic[]; graphicalProjectionDigest?: string; executionDecision?: RenderExecutionDecision } interface RenderedSvg { svg: string; receipt: RenderRequestReceipt } interface RenderedAscii { text: string; receipt: RenderRequestReceipt; terminalStyle: Record<string, unknown>; outputPolicy: Record<string, unknown> } interface RenderedLayoutArtifact { layout: VerifyResult['layout']; receipt: RenderRequestReceipt } declare const mermaid: { parseRegisteredMermaid(source: string): Result<ParsedDiagram, ParseError[]> createMermaid(kind: DiagramKind, opts?: { direction?: 'TD' | 'TB' | 'LR' | 'BT' | 'RL' }): ValidDiagram buildMermaid(kind: DiagramKind, ops: MutationOp[], opts?: { direction?: 'TD' | 'TB' | 'LR' | 'BT' | 'RL' }): Result<ValidDiagram, { code: string; message: string; opIndex: number }> asFlowchart(diagram: ValidDiagram): ValidDiagram | null asState(diagram: ValidDiagram): ValidDiagram | null asSequence(diagram: ValidDiagram): ValidDiagram | null asTimeline(diagram: ValidDiagram): ValidDiagram | null asClass(diagram: ValidDiagram): ValidDiagram | null asEr(diagram: ValidDiagram): ValidDiagram | null asJourney(diagram: ValidDiagram): ValidDiagram | null asArchitecture(diagram: ValidDiagram): ValidDiagram | null asXyChart(diagram: ValidDiagram): ValidDiagram | null asPie(diagram: ValidDiagram): ValidDiagram | null asQuadrant(diagram: ValidDiagram): ValidDiagram | null asGantt(diagram: ValidDiagram): ValidDiagram | null asMindmap(diagram: ValidDiagram): ValidDiagram | null asGitGraph(diagram: ValidDiagram): ValidDiagram | null asRadar(diagram: ValidDiagram): ValidDiagram | null mutate(diagram: ValidDiagram, op: MutationOp): Result<ValidDiagram> verifyMermaid(input: ParsedDiagram | string, opts?: { suppress?: string[]; labelCharCap?: number; renderOptions?: SharedRenderOptions }): VerifyResult analyzeMermaid(diagram: ValidDiagram): Record<string, unknown> analyzeMermaidSource(source: string): Result<Record<string, unknown>> describeMermaidFacts(diagram: ValidDiagram): string[] describeMermaidFactsSource(source: string): Result<string[]> checkMermaid(diagram: ValidDiagram, spec: CheckMermaidSpec): CheckMermaidResult checkMermaidSource(source: string, spec: CheckMermaidSpec): Result<CheckMermaidResult> serializeMermaid(diagram: ParsedDiagram): string renderMermaidSVG(input: ParsedDiagram | string, opts?: SvgRenderOptions): string renderMermaidSVGWithReceipt(input: ParsedDiagram | string, opts?: SvgRenderOptions): RenderedSvg renderMermaidASCII(input: ParsedDiagram | string, opts?: AsciiRenderOptions): string renderMermaidASCIIWithReceipt(input: ParsedDiagram | string, opts?: AsciiRenderOptions): RenderedAscii layoutMermaidWithReceipt(input: ParsedDiagram | string, opts?: LayoutRenderOptions): RenderedLayoutArtifact describeOps(family: DiagramKind): Record<string, { name: string; required: boolean; type: string; note?: string }[]> opSignatures(family: DiagramKind): string[] }
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  • Generate or EDIT an image using xAI Imagine (Quality Mode default — highest live API fidelity; closest to consumer Image 2.0 until API ships a 2.0 model id). Photorealistic, illustrations, flat graphics, icons, banners. 1K/2K. Single or multi-image edit (≤3 refs via artifact_ids / reference_image_urls). Use model_tier=standard only for cheap drafts. Routing: ALL image generation and editing → use this (2 credits). Quality default; multi-ref composite via artifact_ids. [sensitive-tier — first use may require a manager's approval; a from-now-on approval makes future calls seamless, a just-once approval re-asks next time.]
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  • Datadef's standard for what makes a diagram readable, size, edge discipline, nested zones, annotations, and the tool order for building or editing. Read this BEFORE your first canvas_* call. It is the same standard Datadef's own generator follows, so a diagram you build by hand comes out indistinguishable from a generated one.
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  • List runnable Epsilon integration examples (Python cron DCA, LangChain tools, Vercel AI SDK tools, Telegram bot). Fetch full source with get_example. No API key required.
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  • Use this when the user asks what a whole category of AI tools looks like — how crowded it is, how healthy or risky it is overall, which tools in it are strongest, or which are in trouble. Examples: "how risky is the AI video generation market", "what does the code assistant category look like". Returns the number of tools we track in that category, how they distribute across survival bands, the category's vendor-link decay rate, and named examples at both the strongest and weakest ends — each with its own score and last-verified date. Categories are our own classification and tools belong to several at once, so category sizes overlap and never sum to the catalog total. Bands classify risk, not quality — the model has no notion of company size. Not for: choosing between named tools (use compare_tools), finding a tool for a job (use recommend_tools), or market-wide mortality statistics (use deadpool_digest).
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