"namespace:space.0" matching MCP tools:

• get_site_status

  WebZum - The Hosting Layer for AI-Generated Web Content

  Check the status and generation progress of a site. Returns detailed progress information including: - stage: Current step (initialization, validation, research, strategy, generation, assembly, completion) - overallProgress: Total progress 0-100 across all stages (use this for progress bars) - stageProgress: Progress within current stage 0-100 - message: Human-readable status message - isComplete: Boolean - stop polling when true Use the versionId returned from create_site for real-time progress polling. Poll every 5-10 seconds while isComplete is false.

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• compare_properties

  AVnester — Indian Real Estate Intelligence

  Compare 2–5 AVnester listings by listingId. Get the listingIds from search_properties results first (the `listingId` field) — IDs are not guessable. Returns each listing PLUS objective metrics: pricePerSqft, vsCheapestPercent (0 for cheapest, positive for pricier), vsLargestAreaPercent (0 for largest, negative for smaller). Coimbatore-only catalog; unknown IDs return not_found_or_unpublished. Does NOT recommend a final purchase. Always surface the disclaimer field.

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• flipr_status

  flipr-x402

  Get detailed gateway status including treasury address, subsystem latencies, and agent count. Use for deeper diagnostics beyond basic health checks. FREE — rate-limited only. [pricing: {"cost":"0","currency":"FREE","type":"free","network":"eip155:8453"}]

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• polymarket_kalshi_spread

  Magic 8 Ball

  Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says so. TWO MODES: (1) `topic` — 10 pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. RESPONSE: each venue's leg-by-leg prices (raw probability 0-1) plus matched spread[].top_spreads_pp (Kalshi − Polymarket) where the same outcome shows up on both sides. SAFETY FIELDS: compatibility_warning fires in two cases — (a) matched_pairs:0 with skipped_cross_type>0 means the venues frame the topic with non-equivalent bet shapes (e.g. Kalshi range_bucket point-in-time vs Polymarket cumulative_threshold touch-anywhere — no arb exists), (b) matched_pairs:0 with skipped_cross_type:0 and both venues >5 legs means the token-overlap matcher found nothing in common — events likely semantically unrelated despite the topic keyword. temporal_alignment{polymarket_month,kalshi_month,aligned} tells you whether the two events resolve in the same calendar period; aligned:false means spreads are mathematically meaningless across the temporal gap. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair comparisons were dropped (cross-type = metric_type mismatch like MoM vs YoY; cross-subtype = inequality mismatch like cum_ge vs cum_le). Real cross-venue spreads are rarer than the macro-shortcut list suggests — most pre-mapped topics return compatibility_warning today; pre-mapped ≠ tradeable.

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• account.balance

  arkolith

  FREE (0 credits). Return this API key's credit balance (free + paid), USD value, and top-up URL. Call this to self-monitor before/after spending — checking your balance never costs credits.

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• calculate_risk_score

  ContrastAPI

  Composite CVE risk score (0-100) — fuses CVSS, EPSS, KEV, and PoC into a single agent-ready triage signal. Formula: CVSS*0.20 + EPSS*0.35 + KEV*0.30 + PoC*0.15 (each component rescaled to 0-100 before weighting). Multiplicative boosters applied in order: KEV+PoC combo (*1.15), critical-severity-with-high-EPSS (CVSS>=9 AND EPSS>0.7, *1.10), recently published (within last 7 days, *1.05). Final score clamped to [0, 100]. Label bands: CRITICAL>=90, HIGH>=70, MEDIUM>=40, LOW<40. Urgency text encodes patch SLA (immediate when KEV; 24h/72h/30d by label). Use to triage a single CVE without orchestrating cve_lookup + exploit_lookup separately. PoC signal here is the local ExploitDB mirror only — for full multi-source exploit detail (GitHub Advisory + Shodan refs + ExploitDB), call exploit_lookup separately. Methodology adapted from mukul975/cve-mcp-server (Apache-2.0): https://github.com/mukul975/cve-mcp-server. Free: 30/hr, Pro: 500/hr. Returns {cve_id, score (0-100), label (CRITICAL/HIGH/MEDIUM/LOW), urgency, has_public_poc, components (cvss_v3, epss_score, in_kev, has_public_poc, weighted_breakdown), boosters_applied, recommendation, summary, verdict, next_calls}.

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• scry_campaign

  Scry

  Single campaign detail by id (format: c[0-9a-f]{15}).

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• intensity_factors

  Carbon Intensity Uk

  Carbon intensity factors (gCO2/kWh) used per fuel type — e.g. Coal 937, Gas (Combined Cycle) 394, Nuclear 0, Wind 0, Solar 0. These are the constants behind the headline intensity figures.

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• get_buildability_score

  Buildability™ — Property Zoning & Buildability™ Intelligence

  Get a quick Buildability™ Score (0-100) for a property without running the full analysis. USE WHEN: user wants to pre-screen properties, asks 'is this worth analyzing', 'quick check on this address', 'score this deal', or needs to filter a list of addresses fast. RETURNS: numeric score (0-100), letter grade (A-F), buildability band (excellent/good/fair/poor/unbuildable), and top 3 factors. Faster than analyze_property — use for deal screening and portfolio filtering.

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• nausika_get_routes

  Nausika

  Look up your saved sailing-route library: direct fetch by id, or paginated search by name fragment via query, with limit and offset for pagination. Examples: - List all (defaults limit=20, offset=0): (no params) - Detail by id: id="a1b2c3d4" (8-char short-id or full UUID) - Search: query="Corsica", limit=10, offset=0 - Only itineraries: route_type="itinerary" Tip: feed leg coordinates into nausika_marine_forecast or nausika_tides to check conditions along the route.

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• get_buildability_score

  ReadyPermit Property Intelligence

  Get a quick Buildability™ Score (0-100) for a property without running the full analysis. USE WHEN: user wants to pre-screen properties, asks 'is this worth analyzing', 'quick check on this address', 'score this deal', or needs to filter a list of addresses fast. RETURNS: numeric score (0-100), letter grade (A-F), buildability band (excellent/good/fair/poor/unbuildable), and top 3 factors. Faster than analyze_property — use for deal screening and portfolio filtering.

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• polymarket_kalshi_spread

  Guild Wars 2

  Cross-venue spread between Kalshi and Polymarket for the same resolving question. The two venues sometimes price the same outcome 2-25pp apart because their participant pools differ — when the bet shapes are equivalent that delta is a real signal, when they aren't the tool says so. TWO MODES: (1) `topic` — 10 pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope", "next_uk_pm", "next_israel_pm", "2028_president") auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. RESPONSE: each venue's leg-by-leg prices (raw probability 0-1) plus matched spread[].top_spreads_pp (Kalshi − Polymarket) where the same outcome shows up on both sides. SAFETY FIELDS: compatibility_warning fires in two cases — (a) matched_pairs:0 with skipped_cross_type>0 means the venues frame the topic with non-equivalent bet shapes (e.g. Kalshi range_bucket point-in-time vs Polymarket cumulative_threshold touch-anywhere — no arb exists), (b) matched_pairs:0 with skipped_cross_type:0 and both venues >5 legs means the token-overlap matcher found nothing in common — events likely semantically unrelated despite the topic keyword. temporal_alignment{polymarket_month,kalshi_month,aligned} tells you whether the two events resolve in the same calendar period; aligned:false means spreads are mathematically meaningless across the temporal gap. skipped_cross_type / skipped_cross_subtype counters expose how many leg-pair comparisons were dropped (cross-type = metric_type mismatch like MoM vs YoY; cross-subtype = inequality mismatch like cum_ge vs cum_le). Real cross-venue spreads are rarer than the macro-shortcut list suggests — most pre-mapped topics return compatibility_warning today; pre-mapped ≠ tradeable.

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• scan_site

  AEO Scanner

  Quick AI visibility scan. Returns three scores: AEO Score (0-100, AI search engine findability), GEO Score (0-100, AI citation readiness), and Agent Readiness Score (0-100, AI agent interaction capability). Also returns AI Identity Card with mention readiness (0-100, predicts how likely AI will mention the brand), detected competitors, business profile (commerce/saas/media/general), and top 5 issues. 67+ checks across 12 categories. Free — no API key needed. Does NOT return per-check details or fix code — use audit_site for full breakdown, fix_site for generated fixes, compare_sites to benchmark against a competitor.

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• tf_payment_balance

  terminalfeed

  GET endpoint that returns remaining credits for the bearer token in the Authorization header. Requires Authorization: Bearer tf_live_<64-char-hex>. Costs 0 credits. Use to monitor agent budget.

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• run_risk_audit

  ENTIA Entity Verification

  Run comprehensive AI-readiness + digital risk audit on any domain. Analyzes SSL, DNS, structured data, LLM visibility. Returns risk score 0-100. 5 req/min, 30s timeout.

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• onyx_mcp_health

  onyx-mcp

  Probe any public MCP / x402 server and return a structured health snapshot: endpoint latencies, content types, MCP discovery surface, x402 readiness, OAuth DCR advertisement, and a 0-100 composite reliability score. Stdlib-only. SSRF-hardened — refuses private, loopback, link-local, and reserved address ranges. Free tier, no key. (price: $0 USDC, tier: free)

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• phishing_check

  ContrastAPI

  Query URLhaus for a specific URL and its host. is_malicious is True only when there is ACTIVE evidence — exact URL match with url_status='online' (or unknown) OR host has urls_online > 0. URLhaus retains historical records forever, so a host can have url_count > 0 with urls_online == 0; in that case is_malicious=False, is_stale=True, threat_level='low'. Use for URL-level threat assessment; use threat_intel for domain-level checks. Companion threat-investigation tools: ioc_lookup (multi-source IOC: ThreatFox + URLhaus + Feodo Tracker, auto-detect type), hash_lookup (file-hash malware family, MalwareBazaar), threat_intel (domain-level URLhaus only). Free: 30/hr, Pro: 500/hr. Returns {url, host, is_malicious, is_stale, urlhaus_host:{found,urls_online,url_count}, urlhaus_url:{found,threat,tags,status}, threat_level, summary}.

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• realmint_get_score

  Realmint

  Get the Risk & Rights Score for an asset across six dimensions: - backing (0-100): proof of reserves, audit cadence, backing mechanism - enforceability (0-100): governing law, issuer verification, legal documents - control (0-100): issuer power risk — freeze, mint, burn, blacklist, upgrade - exit (0-100): redemption, transferability, KYC/whitelist, settlement, holding periods - liquidity (0-100): market data, venue count, evidence docs - social (0-100): Twitter activity (recency-weighted; unverified handles are penalized below the worst observed tier) Also returns a weighted composite (0-100, higher is better). Weights and penalty tiers are versioned server-side — see `policy_version` in the response. Combine with the asset's `metadata.lifecycle` field (from `realmint_get_asset`) to detect dead/migrated tokens — those are score-capped at 49. Suggested thresholds for decision-making: - composite ≥ 75: typical case, proceed - 55 ≤ composite < 75: elevated friction (gates, missing audits, etc.); review the asset's flags before proceeding - composite < 55: high risk; abort or require explicit user override

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• get_live_audience

  Trillboards DOOH Advertising

  Get real-time audience data for a specific screen. WHEN TO USE: - Checking current audience at a screen before buying - Monitoring audience during a live campaign - Getting detailed audience signals (attention, mood, purchase intent, demographics) RETURNS real-time data from edge AI sensors (refreshed every 10 seconds): - face_count: Number of people currently viewing - attention_score: How attentively the audience is watching (0-1) - income_level: Estimated income bracket (from Gemini Vision) - mood: Current audience mood - lifestyle: Primary lifestyle segment - purchase_intent: Purchase intent level - crowd_density: Estimated venue occupancy - ad_receptivity: How receptive the audience is to ads (0-1) - emotional_engagement: Emotional engagement score (0-1) - group_composition: Solo/couples/families/friends/work groups - signals_age_ms: How fresh the data is in milliseconds EXAMPLE: User: "What's the current audience at screen 507f1f77bcf86cd799439011?" get_live_audience({ screen_id: "507f1f77bcf86cd799439011" })

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• tf_fear_greed

  terminalfeed

  Fetches the current Crypto Fear and Greed Index value (0-100) with classification label (Extreme Fear, Fear, Neutral, Greed, Extreme Greed). Source: Alternative.me. Cache TTL 5min. Use as a sentiment signal for crypto trading decisions.

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