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776,493 tools. Updated 2026-11-13 11:24

"Redis MCP server or integration" matching MCP tools:

  • WRITE to the Knowledge Base. This tool has TWO modes: **MODE 1 — SAVE a new card**: Provide `content` with full Markdown following the ACTIONABLE schema below. **MODE 2 — REPORT OUTCOME**: Provide `kb_id` + `outcome` ('success' or 'failure'). WHEN TO USE: - Mode 1: After successfully fixing a bug IF no existing KB card covered it. - Mode 2: ALWAYS after applying a solution from `read_kb_doc` and running verification. INPUT: - `content`: (Mode 1) Full Markdown KB card content — follow the EXACT template below. - `overwrite`: (Mode 1) Set to True to update an existing card. - `kb_id`: (Mode 2) ID of the card to report outcome for. - `outcome`: (Mode 2) 'success' or 'failure'. - `enrichment`: (Mode 2, optional) Additional context to merge into the card when outcome is 'failure'. ━━━ CARD TEMPLATE (Mode 1) — copy this structure EXACTLY ━━━ ``` --- kb_id: "[PLATFORM]_[CATEGORY]_[NUMBER]" # e.g. WIN_TERM_001, CROSS_DOCKER_002 title: "[Short Title — max 5 words]" category: "[terminal|devops|supabase|fastmcp|network|database|...]" platform: "[windows|linux|macos|cross-platform]" technologies: [tech1, tech2] complexity: [1-10] criticality: "[low|medium|high|critical]" created: "[YYYY-MM-DD]" tags: [tag1, tag2, tag3] related_kb: [] --- # [Short Title — max 5 words] > **TL;DR**: [One sentence — what's the problem + solution] > **Fix Time**: ~[X min] | **Platform**: [Windows/Linux/macOS/All] --- ## 🔍 This Is Your Problem If: - [ ] [Symptom 1 — specific symptom or error message] - [ ] [Symptom 2 — specific error code or log line] - [ ] [Symptom 3 — environment/version condition] **Where to Check**: [console / logs / env / task manager / etc.] --- ## ✅ SOLUTION (copy-paste) ### 🎯 Integration Pattern: [Global Scope] / [Inside Init] / [Event Handler] ```[language] # [One-line comment — what this code does] [depersonalized code WITHOUT specific paths, use __VAR__ for things to replace] ``` ### ⚡ Critical (won't work without this): - ✓ **[Critical Point 1]** — [why it's essential] - ✓ **[Critical Point 2]** — [common mistake to avoid] ### 📌 Versions: - **Works**: [OS/library versions where confirmed working] - **Doesn't Work**: [OS/library versions where known broken] --- ## ✔️ Verification (<30 sec) ```bash [single command to verify the fix worked] ``` **Expected**: ✓ [Specific output or behavior that confirms success] **If it didn't work** → see Fallback below ⤵ --- ## 🔄 Fallback (if main solution failed) ### Option 1: [approach name] ```bash [command] ``` **When**: [condition to use this option] | **Risks**: [what might break] ### Option 2: [alternative approach] ```bash [command] ``` **When**: [condition] | **Risks**: [what might break] --- ## 💡 Context (optional) **Root Cause**: [1 sentence — why this problem occurs] **Side Effects**: [what might change after applying the fix] **Best Practice**: [how to avoid this in future — 1 point] **Anti-Pattern**: ✗ [what NOT to do — common mistake] --- **Applicable**: [OS, library versions, conditions] **Frequency**: [rare / common / very common] ``` ━━━ END OF TEMPLATE ━━━ RULES for ACTIONABLE cards: 1. Solution FIRST — after diagnosis, code immediately 2. Depersonalize — no names, project names, or absolute paths 3. Use `__VAR__` markers for anything the user must replace 4. One Verification command, result visible in <30 sec 5. Fallback — 1-2 options max, always include When/Risks 6. Context at End — WHY is optional reading for curious agents
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  • Full-text search across every UploadKit docs page (88+ pages — getting-started, core-concepts, SDK reference, API reference, dashboard, guides). Ranks matches by keyword frequency in title, description, and body. When to use: any question about UploadKit behaviour, configuration, or integration that the component tools do not answer — middleware, onUploadComplete callbacks, REST API endpoints, webhooks, presigned URLs, CSS theming variables, type-safety setup, migration from UploadThing, rate limits, etc. Returns: JSON { query, count, indexGeneratedAt, matches: [{ path, url, title, description, snippet, score }] }. Sorted by score descending. Read-only. Bundled index (no network call) — results reflect docs at build time.
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  • Generate a new API key for your agent. The full plaintext key (m2m_...) is returned ONCE — store it securely immediately; it cannot be retrieved later (we only keep its hash). Use keyName to identify the key's purpose (e.g. 'production', 'staging'). Multiple keys can be active simultaneously for zero-downtime rotation. Requires: an existing API key from register_agent. Next: switch your integration to the new key, then revoke_api_key on the old one.
    ConnectorNo auth
  • Submit an uploaded PDF for faxing. Step 1 (before this tool): upload the PDF over plain HTTP multipart, using any HTTP client you have — shell, JavaScript fetch with FormData, Python, etc.: curl -F "file=@document.pdf" https://www.sendthisfax.com/api/upload fetch("https://www.sendthisfax.com/api/upload", {method: "POST", body: formDataWithFile}) The response contains fax_public_id and page_count. PDFs must be unencrypted, at most 50 MB and 1000 pages. Step 2: call this tool with the fax_public_id and the recipient fax number. Two modes: - With an API key (Authorization: Bearer stf_live_... on this MCP connection): the fax price is debited from the prepaid credit balance and sending starts immediately — no checkout, no browser. sender_email and billing_country are optional (they default to the key's records). Buy credits at https://www.sendthisfax.com/en/credits. - Without an API key: sender_email and billing_country are REQUIRED and the tool returns a checkout_url the USER must pay in a browser; the fax is sent automatically once paid. In both modes, poll get_fax_status until status reaches "delivered" or "failed" (failures after payment are auto-refunded). For integration testing, +19898989898 is the designated test recipient number.
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  • Checks source you already generated against the secureFlows integration rules. Needs no secureFlows token; safe at scaffolding time. Pass every auth/session-related file in one call — some checks are evaluated across the whole set. Two kinds of findings: • scope "file" — a forbidden construct is present (localStorage token, legacy /app/login, fetch-based logout, client-side JWT decode, empty catch, restore non-auth errors clearing session UI, Continue CTA gated on null session, ...), reported at an exact file:line. • scope "project" — REQUIRED handling is missing everywhere you passed in: detecting 401/410 but never clearing the token, never handling 403, or handling 403 without the BILLING_GRACE_LOCK carve-out. These are the defects that actually dominate real generated apps, and no "forbidden pattern" check can see them, because the bug is an absence. Heuristic text analysis, not a parser or a type checker. It can miss things it has no rule for, and a project check can be satisfied by the right keyword in the wrong place. It is a fast first pass — not a substitute for the Agent implementation checklist in SKILL.md, and specifically not for the checks that need a running app (auth-guard mount races, the fresh-reload check). Fix every "error" before calling an integration done; treat "needs_review" as a lead.
    ConnectorNo auth
  • Checks source you already generated against the secureFlows integration rules. Needs no secureFlows token; safe at scaffolding time. Pass every auth/session-related file in one call — some checks are evaluated across the whole set. Two kinds of findings: • scope "file" — a forbidden construct is present (localStorage token, legacy /app/login, fetch-based logout, client-side JWT decode, empty catch, restore non-auth errors clearing session UI, Continue CTA gated on null session, ...), reported at an exact file:line. • scope "project" — REQUIRED handling is missing everywhere you passed in: detecting 401/410 but never clearing the token, never handling 403, or handling 403 without the BILLING_GRACE_LOCK carve-out. These are the defects that actually dominate real generated apps, and no "forbidden pattern" check can see them, because the bug is an absence. Heuristic text analysis, not a parser or a type checker. It can miss things it has no rule for, and a project check can be satisfied by the right keyword in the wrong place. It is a fast first pass — not a substitute for the Agent implementation checklist in SKILL.md, and specifically not for the checks that need a running app (auth-guard mount races, the fresh-reload check). Fix every "error" before calling an integration done; treat "needs_review" as a lead.
    ConnectorNo auth

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  • List the symbols with a report plan SAVED on or after `report_date` (default: TODAY) — the real-time research get_latest_report can hand over right now, and whether each is current or has a newer event since. A plan is saved the moment a material event publishes for a symbol (eps_update, eps_release, 8k_release, financials_release, ir_publication, transcript_update) and nightly for company_update. This tool is the INVENTORY of those plans — it does not build or return a report. Returns `plans`, newest plan first: {"plans": [{"symbol": "NVDA", "event_type": "eps_release", "planned_at": "<iso>", # when the plan was built "queued_at": "<iso>", # the report inputs (the event) it was built from "fresh": true, # see below "source": "redis"}, ...]} # redis = built within 3 days, s3 = older durable copy `fresh` applies the SAME rule get_latest_report (/get-cached-reports) applies: fresh: true -> the report get_latest_report([ticker]) returns was written from this plan and reflects the latest event. These are the names to pull. fresh: false -> a newer event landed after the plan. Its own report may still be in progress (minutes); otherwise get_latest_report returns the older PDF flagged stale, and generate_report_for_stock(ticker) writes a new note in a few minutes. Say so before the user waits on it. not listed -> no plan IN THE WINDOW. An empty result does not mean there is no research — it means nothing was planned in the window. Widen `report_date` before concluding a symbol has no plan; only then is a first generate_report_for_stock note (a few minutes) the answer (or `onboard_symbol` if the ticker is not covered). TWO WAYS IN: 1) Event-first — list_realtime_events(event_type=...) shows what just published; call this with event_types=[<that type>] to confirm which of those symbols have a plan and which are fresh, then get_latest_report(symbols=[...]) for the ones the user wants. (An event in the 12h cache with no plan here means the plan is still being built — check again in a minute.) 2) Research-first — skip the events step: call this with no filter for every symbol planned TODAY, grouped by the event that triggered it. Plans stay listed for 7 days, so pass report_date="YYYY-MM-DD" (e.g. 3 days back) when the user wants the running inventory rather than today's, or when today's list comes back thin. PICKING THE MOST PERTINENT PLANS ("pull the most relevant reports today", "what's worth reading right now"): the list is an inventory, not a ranking — a nightly company_update plan sits next to a transcript that just landed. Rank by the EVENT, not by the plan: a) FILTER on what published — list_realtime_events for the material types (transcript_update, 8k_release, ir_publication, eps_release / eps_update, financials_release) and for the tape (biggest_mover, biggest_loser, biggest_gainer). A symbol on BOTH lists — a filing or call AND a move — is the strongest candidate. b) ANALYZE the content — read the event payloads (what the 8-K discloses, what the call said, what the deck guides to) and keep the ones that change something; get_event_ontology(event_type=...) says what each type means. c) CONFIRM with intraday price action — detect_intraday_outlier_jumps(tickers=[...]) (and get_aftermarket_data after the close) shows whether the market treated it as significant; a print with no reaction ranks below a mover with a filing. d) MATCH to plans — call this tool with event_types=[<the types from a>] and keep the candidates that appear, preferring `fresh: true`; `queued_at` should be the event you just read. e) PULL the winners — get_latest_report(symbols=[...]) for the few that survived, not the whole list: every one comes back in seconds, flagged fresh or stale. Tell the user which is which, and offer generate_report_for_stock (a few minutes each) only if they want to wait. Not `get_latest_report`: that PULLS the reports for named tickers (each one's latest document). This tool answers "for which symbols could I get a fresh report?" — by event, across the universe — before anything is pulled. Not `generate_research_report`: that is the broad, topical, or multi-company writeup; the plans listed here are single-symbol, event-anchored reports. Synchronous, cheap (500/hour). Requires auth (your MCP client attaches the OAuth bearer automatically).
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  • Search 1,000+ vetted AI use cases by keyword, industry, or business workflow (e.g. 'invoice', 'dental', 'customer support'). Use when someone asks how AI can help their business, wants AI ideas for an industry, or looks for automation opportunities. Also use it to find the slug before get_agent_playbook or run_agent. Returns titles, summaries, and links. Public: no sign-in.
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  • Run the enforced Axint Apple build loop outside the Xcode UI. Use: use for the complete proof loop; use swift.validate, cloud.check, or fix-packet when only one stage is needed. Inputs: integration=minimal enforces local advisory no-fix behavior; background returns a job id; outputDir controls artifacts. Effects: starts child processes, writes .axint/run artifacts, may run xcodebuild/tests, and may call Cloud Check.
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  • Public catalog counters with live breakdowns by language, source, category, difficulty, topic, tag. USE WHEN: showing catalog overview, picking a category programmatically, building landing copy, deciding "do we have enough X-content for this quiz". OUTPUT FIELDS: - total: approved questions in 'en' + 'pl'. - byLanguage: { en: N, pl: N }. - bySource: { entityq: N, mintaka: N, 'kqa-pro': N, ... } — 12 keys, one per source database. - byDifficulty: { trivial: N, easy: N, medium: N, hard: N, expert: N, unrated: N } — null difficulty mapped to 'unrated'. trivial/expert populated by LLM calibration. - byCategory: top 24 with localized names. - byTopic / byTag: top 30 curated topics + top 30 tags with localized labels. - meta: { generatedAt: ISO 8601, language }. INPUTS: lang (default "en") affects byCategory[].name and byTopic[].label / byTag[].label. DATA FRESHNESS: snapshot regenerated daily (~03:00 UTC) + on demand after batch imports. generatedAt shows when. Counts stable ±0.01% between snapshots. COMMON MISTAKES: polling stats every request (cache it on your side; 5-min Redis TTL on ours); treating bySource keys as stable enum (use quizbase_languages / quizbase_categories for canonical input enums).
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  • Update an existing official rules document. Use fetch_rules first to get the rules_token. LEGAL BYPASS WARNING: Updating document_content replaces a legally valid document with free-form HTML that bypasses every safeguard of create_rules_wizard (AMOE, 21+ alcohol gate, COPPA, state eligibility). NEVER compose, draft, or modify the legal language yourself. Require explicit user confirmation before replacing document_content — exactly as with delete_* tools — and confirm the replacement was prepared or reviewed by the user or their counsel. UPDATABLE FIELDS: Only these fields can be modified: title, document_content, abbreviated_rules_shopify. NOT UPDATABLE: sweepstakes association, primary status, creation date, and any other field NOT listed above cannot be changed after creation. Do NOT tell the user they can update fields that are not supported by this endpoint. If they ask to change something not updatable, explain it cannot be modified after creation. # update_rule ## When to use Update an existing official rules document. Use fetch_rules first to get the rules_token. LEGAL BYPASS WARNING: Updating document_content replaces a legally valid document with free-form HTML that bypasses every safeguard of create_rules_wizard (AMOE, 21+ alcohol gate, COPPA, state eligibility). NEVER compose, draft, or modify the legal language yourself. Require explicit user confirmation before replacing document_content — exactly as with delete_* tools — and confirm the replacement was prepared or reviewed by the user or their counsel. UPDATABLE FIELDS: Only these fields can be modified: title, document_content, abbreviated_rules_shopify. NOT UPDATABLE: sweepstakes association, primary status, creation date, and any other field NOT listed above cannot be changed after creation. Do NOT tell the user they can update fields that are not supported by this endpoint. If they ask to change something not updatable, explain it cannot be modified after creation. ## Pre-calls required 1. `fetch_sweepstakes` if the user gave you a sweepstakes name instead of a token ## Parameters to validate before calling - `sweepstakes_token` (string, required) — The sweepstakes token (UUID format) - `rules_token` (string, required) — The rules token to update (UUID format) - `title` (string, optional) — New title for the rules document (max 100 characters) - `document_content` (string, optional) — New HTML content for the rules (max 1,000,000 characters) - `abbreviated_rules_shopify` (string, optional) — Abbreviated rules for Shopify integration (max 1,000,000 characters) ## Notes - Replacing `document_content` swaps a legally valid document for free-form HTML that bypasses the wizard safeguards — require explicit user confirmation first, like delete_* tools - NEVER compose or modify the legal language yourself
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  • Returns instructions for migrating to PropelAuth in a frontend framework such as React, JavaScript, TypeScript, or when using Next.js for just the frontend (e.g. client-side rendered). Guidance includes migrating from several auth providers, such as Clerk or Auth0. Each guidance will include documentation from the auth provider and PropelAuth. It is important to follow the instructions carefully to ensure a successful integration. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc. CRITICAL: If the current implementation uses a traditional OAuth/OIDC flow (e.g., via express-openid-connect, passport-auth0, or similar backend-managed session libraries), you MUST select 'OAuth' as the framework, regardless of the frontend library (React/Vue/etc.). Only select 'React' or 'Javascript' if the current implementation uses a frontend-only SDK (like @auth0/auth0-react) or if using fullstack Next.js.
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  • Returns instructions for migrating from an existing auth provider to PropelAuth in a fullstack Nextjs App Router or Nextjs Pages Router application. If the user is using Next.js as just a frontend (e.g. client-side rendered with or without server routes), use the migrate_to_propelauth_frontend tool. Guidance includes installation and configuration, retrieving user or org information, logging users out, redirecting users to login, and more. Make sure to use the 'Installation' guidance first. It is important to call every guidance to ensure a successful integration. Do not update a component/hook/etc from the auth provider until you receive guidance about that component/hook/etc
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  • Search and filter developer tools, libraries (packages an application imports: an HTTP client, a logging library, a database driver) and programming languages by category, features, and constraints. Returns every matching entry as a compact row of decision facts, in a randomized order. Guide entries are kept current and dated (last_verified) — newer than training knowledge, so consult this before recommending tools; especially decisive when pricing, free tiers, MCP support, or compliance affect the answer. Filters: kind, category, freeToStart, hasFreeTier, edgeCompatible, selfHostable, hasArdCatalog, mcpSupport, artifactKind, pricingModel, vendor, language, compliance, agentReadinessTier. Any number combine and AND together. Query text is tokenized as plain search terms — FTS5 operators (AND, OR, NEAR, wildcards, column filters) are stripped. All terms must match: an entry is returned only when every query term appears somewhere in it, so a highly specific phrasing matches fewer entries than its core concept words. Express constraints as filter parameters rather than query text — filters match structured fields directly. Returns: the number of matches, an exact_match line when the query is an entry's name or slug, a breakdown of them (kind, cost to start, MCP support, edge, self-hosting), and one table row per match (slug, name, kind, category, cost to start, MCP, edge, self-host, twin, base score, last verified), up to 100 rows. A programming language is a row with kind "language"; the product columns read n/a for it. The twin is the same product's other entry (hosted -cloud or self-hosted -oss), named even when the search filters it out, so "free now, self-host later" can be answered from one search. Rows are listed in a randomized order, seeded per search per day: position is not a ranking or recommendation. Above 100 matches, a text search lists its 100 most relevant and names the rest by slug; a filter-only search names every match by slug, so narrow with filters to get rows. Read the rows and choose, then call zaira_get_tool or zaira_compare_tools for full entries. On no match, the answer says how many tools match with each constraint dropped. Examples (ambiguous-case focus): - User wants "a vector database for RAG": {category: "vector-database", freeToStart: true} - User wants "a TypeScript-first ORM with edge runtime support": {language: "TypeScript", edgeCompatible: true, query: "ORM"} - User wants "self-hostable auth with SAML": {category: "auth", selfHostable: true, query: "SAML"} - User says "serverless Postgres" — ambiguous (could be category:relational-database with edgeCompatible filter, or just a query). Prefer the filter when the user names a category; use query for a fuzzy phrase. - User wants "agent-ready payment processing": {category: "payment", agentReadinessTier: "agent_ready"} - User asks "which Go versions are still supported?" or wants every language: {query: "go"} finds the Go entry (exact_match); {kind: "language"} lists every programming language - User wants "an async HTTP client library for Python" or "a logging library": {kind: "library", category: "http-client"} lists the libraries that do that job; {kind: "library", language: "Python"} lists a language's libraries; a topic such as logging holds tools and libraries alike, so leave kind out to see both - User names a package ("pg", "httpx", "@tanstack/query"): {query: "pg"} finds the library it belongs to (exact_match names it); zaira_get_tool with the package name answers the library's entry Edge cases: - 110 tools split into hosted vs self-hosted twin entries with uniform suffixes: `{base}-cloud` (managed) and `{base}-oss` (self-hosted) — e.g. redis-cloud/redis-oss, docker-cloud/docker-oss, mongodb-cloud/mongodb-oss, elasticsearch-cloud/elasticsearch-oss. Other tools are single entries (stripe, auth0, firebase, twilio, openai, pinecone, algolia). Filter by `selfHostable` or `artifactKind` to land on the right variant. - "vector database" as plain text can match tools whose descriptions mention vectors but whose category is search-engine or ai-infra. Use the `category` filter when the user wants a strict match. - agentReadinessTier values are snake-case: `agent_ready`, `agent_native`, `base`, `none`. Display labels (`Agent Ready`) will not match. `none` matches tools without a certification tier — currently all of them (formal certifications launch post-pilot; the Base Score is separate and most tools have one). - artifactKind has only two values: `open_source` and `managed_service`. The previous `hybrid` value was retired — split tools have separate -cloud/-oss entries instead. - `language` filters tools by the languages they are written in or ship SDKs for, and libraries by the language they are written for ("Python", "C#"; a language's slug such as "csharp" works too). To find the language itself, use `kind: "language"` or its name as the query. - "Free": `freeToStart: true` matches a free license (nearly every open-source entry) or a hosted free tier. `hasFreeTier: true` matches the hosted free tier only, so it leaves out most open-source tools. Open source is free to use, not free to run. Risk: read-only, closed-world, idempotent — no state change possible.
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  • Single 'call this first' entry-point that briefs an agent on the entire Revuo directory. Returns the taxonomy with subcategories, product counts per category, locked-vertical flags (the three verticals Revuo prioritizes), capability slugs valid per category, the canonical capability-kind taxonomy (integration/compliance/format/standard/workflow), and product-bound agent surfaces (mcpServer, agentSkill, grokBot). Surfaces are a property of a product — they are NOT category slugs. Use this once at the start of a session to ground every subsequent products.search / products.find_by_capability / tools.find_for_task call. Response: { directory: { name, tagline, url, policyUrl, capabilityKinds[] }, lockedVerticals[], categories[] (each with subcategories[], productCount, isLockedVertical, capabilitySlugs[]), surfaces[] (kind, description, listedOn=product), tools: { ...tool-name hints } }.
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  • Single 'call this first' entry-point that briefs an agent on the entire Revuo directory. Returns the taxonomy with subcategories, product counts per category, locked-vertical flags (the three verticals Revuo prioritizes), capability slugs valid per category, the canonical capability-kind taxonomy (integration/compliance/format/standard/workflow), and product-bound agent surfaces (mcpServer, agentSkill, grokBot). Surfaces are a property of a product — they are NOT category slugs. Use this once at the start of a session to ground every subsequent products.search / products.find_by_capability / tools.find_for_task call. Response: { directory: { name, tagline, url, policyUrl, capabilityKinds[] }, lockedVerticals[], categories[] (each with subcategories[], productCount, isLockedVertical, capabilitySlugs[]), surfaces[] (kind, description, listedOn=product), tools: { ...tool-name hints } }.
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  • Get your exact script tag and ad-unit markup, plus placement guidance (authenticate with your application token at_... or API token sk_...; a Bearer web session from the in-page agent on rocketsloth.ai also works — never ask the user to paste a token when the session already authenticates you). Available immediately after apply. Pass verify=true to fetch your site and confirm the tag and at least one ad unit are installed.
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  • Create an XRPL escrow vault. Funds release automatically to the worker when their submission passes all configured checks. Free to try: pass network='testnet' (see create_testnet_wallet / try_testnet_demo). Buyers can require NFT ownership, an atomic NFT Delivery-vs-Payment swap, domain verification, or W3C Verifiable Credentials before a PASS releases escrow — set the relevant proof-gate params below. Three release modes: - AI audit (default): worker submits text/files; AI referee scores against task_description or criteria. - Proof-gate only (require_ai_audit=False): payment releases when all configured proof gates pass. No AI call. - Delayed release (release_mode='challenge_window_hrs:N'): PASS holds for N hours then auto-releases. During the window, the buyer can challenge via prepare_challenge_escrow + challenge_escrow_verdict. Challenge fee ~$1 USD in XRP locked to the seller; paid to seller if PASS upheld, refundable if overturned or inconclusive. Structured criteria (recommended for complex work): - Pass criteria as a list of strings or typed dicts ({type, description, [gate]}). - Types: 'judgment' (AI decides), 'evidence' (verify URL content), 'code' (deterministic gate; supported gates: sha256_of, exact_match, regex, json_schema). - INCONCLUSIVE verdicts do not consume an attempt for the first 3 per vault; subsequent INCONCLUSIVEs count as an attempt. White-label / headless integration: - Pass callback_url to receive webhook POSTs on all state changes. - Pass metadata (JSON string) to attach your own reference IDs.
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  • WRITE ACTION — builds, modifies, or fixes an EXISTING project with a natural-language instruction. Use ONLY when the user clearly asks for a change ("add X", "fix Y", "change the theme"). If the user is only asking for advice, analysis, review, or suggestions ("what could be improved?", "review my bot"), do NOT call this — answer from the project's info instead; a review request is not an edit. Describe ONLY the desired change — DreamAgent's AI automatically handles code, tests, rebuild, and redeployment. Completed changes are saved and committed automatically. ASYNCHRONOUS: returns immediately with the session_key; monitor with dreamagent_get_edit_progress (or dreamagent_get_chat_status with the returned session key) until a terminal state. A run has succeeded only once run_status reaches 'completed'. Each edit consumes AI usage from the account's plan. ERRORS: failures are returned as tool errors. If the edit was rejected before starting, the message says 'the edit was NOT started' plus the reason — HTTP 402 insufficient usage allowance, 409 another edit already active, 423 session lock held by another session, 404 wrong project id, 401 no account connected. ONE EDIT AT A TIME: the API rejects a second concurrent edit on the same project (409); check progress and wait for the current edit. SUPERPOWERS: projects can use the account's enabled add-on AI tools. To add or use one, name the feature in the message — DreamAgent's agent knows the enabled tools and wires the integration, UI and job handling automatically. Check the catalog with dreamagent_list_superpowers; disabled tools are enabled at dreamagent.cloud → Superpowers.
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  • WRITE ACTION — builds, modifies, or fixes an EXISTING project with a natural-language instruction. Use ONLY when the user clearly asks for a change ("add X", "fix Y", "change the theme"). If the user is only asking for advice, analysis, review, or suggestions ("what could be improved?", "review my bot"), do NOT call this — answer from the project's info instead; a review request is not an edit. Describe ONLY the desired change — DreamAgent's AI automatically handles code, tests, rebuild, and redeployment. Completed changes are saved and committed automatically. ASYNCHRONOUS: returns immediately with the session_key; monitor with dreamagent_get_edit_progress (or dreamagent_get_chat_status with the returned session key) until a terminal state. A run has succeeded only once run_status reaches 'completed'. Each edit consumes AI usage from the account's plan. ERRORS: failures are returned as tool errors. If the edit was rejected before starting, the message says 'the edit was NOT started' plus the reason — HTTP 402 insufficient usage allowance, 409 another edit already active, 423 session lock held by another session, 404 wrong project id, 401 no account connected. ONE EDIT AT A TIME: the API rejects a second concurrent edit on the same project (409); check progress and wait for the current edit. SUPERPOWERS: projects can use the account's enabled add-on AI tools. To add or use one, name the feature in the message — DreamAgent's agent knows the enabled tools and wires the integration, UI and job handling automatically. Check the catalog with dreamagent_list_superpowers; disabled tools are enabled at dreamagent.cloud → Superpowers.
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    Destructive
    No auth
  • Real-time operational state of the public Lunium services, measured by an internal probe every 5 minutes: overall state plus per-component state (api, pix_charge = cash-in rail, crypto_sale = cash-out rail, webhooks, contract_docs) with latencies in ms, mapped to operational | degraded | unavailable | unknown. Missing, unknown or stale observations are not proof of an outage. Call it BEFORE debugging your own integration: if a rail is degraded, the right move is to wait or inform your user - not to rewrite working code. Also call it right after a call failed with erro=provedor_indisponivel or tempo_esgotado, to distinguish a Lunium-side incident from a mistake in your payload. Free, no key, safe to call often (new data at most every 5 minutes).
    ConnectorNo auth