dynamic-feed

{
  "id": "aix_d939a70ce6",
  "name": "dynamic-feed",
  "operator": "(unclaimed - source: registry-official · publisher: ai.dynamicfeed)",
  "description": "94 keyless tools of live, verifiable data for AI: weather, hazards, space, CVEs. Ed25519-signed.",
  "depth": 2,
  "status": "unclaimed",
  "last_crawled": "2026-09-26",
  "missing_fields": [
    "pricing",
    "operator.identity"
  ],
  "skills": [
    "api-integration",
    "cache-store",
    "calendar-sync",
    "citation-check",
    "cloud-ops",
    "company-lookup",
    "container-ops",
    "data-enrichment",
    "geo-coding",
    "github-ops",
    "inventory-check",
    "market-data",
    "onchain-data",
    "pdf-to-json",
    "product-description",
    "sql-database",
    "text-to-image",
    "vulnerability-scan",
    "web-research",
    "web-scrape"
  ],
  "protocols": {
    "mcp": "https://dynamicfeed.ai/mcp",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": {
    "tasks_completed": null,
    "dispute_rate": null,
    "p95_latency_ms": 2545,
    "uptime_30d": 1,
    "onchain_volume_30d_usd": null
  },
  "aix_score": 44,
  "verification": {
    "identity": "none",
    "health": "probe/24h",
    "pricing": "unknown",
    "last_check": "2026-09-26T06:01:40.692Z"
  },
  "pricing_model": "unknown",
  "links": [
    {
      "label": "homepage",
      "url": "https://dynamicfeed.ai/"
    }
  ],
  "profile": {
    "mcp_server": "Dynamic Feed",
    "mcp_version": "0.8.0",
    "tool_count": 94,
    "tools": [
      {
        "name": "search_ai_models",
        "description": "Search current AI models by price, context window, and capability.\n\nUse this for up-to-date model pricing/features you don't reliably know.\nPrices are USD per 1M tokens. Results are cheapest-input-price first.\nArgs:\n  query: match part of a model name/id (e.g. \"haiku\", \"gpt\").\n  provider: filter to one provider (openai, anthropic, google, xai, mistral, deepseek, groq).\n  max_input_price: only models at or below this USD/1M input price.\n  min_context: only models with at least this context window (tokens).\n  needs_vision: only models that accept images.\n  limit: max results.\nEnvelope: this sear"
      },
      {
        "name": "airport_delays",
        "description": "Live FAA airport delays, ground stops, closures & ground-delay programs (US NAS, keyless). `airport`\n= 3-letter code (LGA, LAX…) or blank for all current disruptions. Ground stops change minute-to-minute —\npure post-cutoff state. An empty/short list means the airspace is running normally.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "drug_shortages",
        "description": "US drug shortages from the FDA (openFDA, keyless). `query` = drug/generic name (amoxicillin…) or blank\nfor the most recently updated. Is drug X in shortage right now — status/reason/company. A model's stale\nyes/no here is clinically misleading; confirm clinically.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "sanctions_screen",
        "description": "Screen a name against the US OFAC SDN + UK Sanctions List (FCDO, Open Government Licence) — keyless.\n`name` = party to check; optional `program` (an OFAC program e.g. IRAN/CUBA, or a UK regime/origin).\nEach result is tagged with its `list` (US-OFAC | UK). A match means the party is sanctioned — legally\nbinding the instant it's posted, so models can't know recent designations. Confirm the full entry first.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "company_lookup",
        "description": "Resolve a company name (or exact 20-char LEI) to its authoritative global Legal Entity Identifier +\ncanonical legal name, address, status and local registration, from GLEIF (CC0 public domain, keyless).\nThe deterministic join key to sanctions_screen and sec_filings — an LLM can't reliably map a name to a\nreal, currently-active registered entity. Pass {\"query\":\"Apple Inc\"} or {\"lei\":\"HWUPKR0MPOU8FGXBT394\"};\noptional `country` (ISO-2) filter. Confirm against the official register before acting.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation tim"
      },
      {
        "name": "ephemeris",
        "description": "Solar & lunar timing for a place + day — sunrise/sunset, the full twilight set (civil/nautical/\nastronomical), moonrise/moonset, moon phase + illumination — from the U.S. Naval Observatory (public\ndomain, keyless). Pass a `location` (city, geocoded) OR `lat`/`lon`; optional `date` (YYYY-MM-DD, default\ntoday) and `tz` offset (default 0=UTC). For agent/robot daylight & moonlight gating, golden-hour windows\nand night-ops planning — an LLM has no clock or location.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline agains"
      },
      {
        "name": "emissions",
        "description": "National greenhouse-gas emissions for a country (ISO-3 code, e.g. USA/CHN/IND) + year, from Climate\nTRACE (CC BY 4.0, keyless): CO2/CH4/N2O + CO2-equivalent (100yr & 20yr GWP), the country's global rank\nand its share of world emissions. Climate TRACE's own modelled national inventory; annual, lags ~1-2yr.\nFor climate/ESG/policy agents that need a citeable emissions figure an LLM can't reliably recall.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "federal_register",
        "description": "Recent US Federal Register documents — rules, proposed rules, notices, executive orders (keyless).\n`doc_type` = RULE | PRORULE | NOTICE | PRESDOCU. Answers 'what regulation took effect / what did the\nPresident sign' — total post-cutoff blindness for models.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "drought",
        "description": "US drought severity — % of area in each D0-D4 class by week (U.S. Drought Monitor, keyless).\n`area` = 'total' (US national) or a state FIPS code. D0=abnormally dry … D4=exceptional drought. Weekly.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "water_levels",
        "description": "Real-time US river levels — gage height (ft) + streamflow/discharge (ft3/s) from USGS NWIS (keyless).\nUS only — see au_water for the Australian (BoM Water Data Online) counterpart.\nUse for \"how high / how fast is river X right now\", flood risk (rising gage) or drought (low flow).\nProvide a 2-letter US `state`, USGS `site` number(s) comma-separated, or neither for major rivers.\nArgs:\n  state: 2-letter US state code (e.g. TX, CA).\n  site: USGS site number(s), comma-separated.\n  limit: max sites.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation ti"
      },
      {
        "name": "sports_pulse",
        "description": "Global ATTENTION + official schedule for a sporting event, team or competition — e.g. the 2026 FIFA\nWorld Cup. Returns the event's hosts/start-end dates/sport plus a worldwide attention signal: daily\nWikipedia article views by language edition, with 7-day momentum, peak and a per-language breakdown.\nUse for \"how much buzz is event X getting / where in the world / is interest rising\". This is the\nNEUTRAL attention layer (Wikimedia Pageviews + Wikidata, CC0) — NOT live scores, fixtures or odds.\nArgs:\n  topic: event/team/competition, resolved via Wikidata (default '2026 FIFA World Cup').\n  days: "
      },
      {
        "name": "world_cup",
        "description": "2026 FIFA World Cup FIXTURES + final RESULTS — all 104 matches, the next `upcoming` fixtures and the\n`recent` most-recent final scores, plus progress (played / remaining). Source: openfootball (PUBLIC\nDOMAIN, redistributable). Results appear post-match as the open dataset updates — NOT live minute-by-\nminute scores (those are licensed) and NO betting odds. Pair with sports_pulse for global attention.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "product_recalls",
        "description": "US product recalls — food, drug & medical-device enforcement reports (openFDA, keyless, CC0).\n`category` = all | food | drug | device; `query` matches the product description. Most-recent first;\nClass I = most serious. Use for \"is product/brand X recalled right now\". Informational — confirm\nagainst the official FDA recall notice.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "treasury_yields",
        "description": "US Treasury daily par yield curve (1M-30Y) + the 10Y-2Y / 10Y-3M spreads — the classic recession\nsignal (an inverted curve has preceded recessions). Today's curve is post-cutoff; a model can't know it.\nUse for \"what's the yield curve / is it inverted / current 10-year Treasury\". Keyless, US public domain.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "weather_alerts",
        "description": "Active US NWS weather alerts/warnings — tornado, flood, severe thunderstorm, heat, winter,\nair-quality, marine. `area` = 2-letter US state (CA, TX, FL...) or marine zone; blank = nationwide\nSevere/Extreme. `event` optionally filters by type. Life-safety data that expires in hours; keyless,\nUS public domain. Pairs with current_weather/weather_forecast.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "carbon_intensity",
        "description": "Great Britain grid carbon intensity right now (gCO2/kWh + index) + the live fuel mix + the\ncleanest upcoming half-hour from the 24h forecast. Use to time energy-heavy work / answer \"is the\ngrid clean now?\". Keyless, CC-BY. GB only — see grid_carbon for Australia (per-NEM-state) + GB.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "sec_filings",
        "description": "Recent SEC EDGAR filings for a US public company by `ticker` (AAPL, NVDA, TSLA...). `form`\noptionally filters: 8-K (material event), 10-K/10-Q (financials), S-1 (IPO), 4 (insider trade).\nFiled continuously — a model can't know the recent ones. Keyless, US public domain.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "ai_models",
        "description": "Current & trending AI MODELS from the open-model ecosystem (Hugging Face) — name, org, task,\npopularity (likes/downloads) and release date. Use for \"what AI models are trending / newest / what's\nthe latest <X> model\". This is the OPEN side (Llama, Qwen, DeepSeek, Mistral, Gemma, Phi…); for the\nclosed flagships (GPT, Claude, Gemini, Grok) with pricing & versions use search_ai_models.\nArgs:\n  query: search a model name (e.g. llama, qwen, whisper).\n  org: filter by org/author (e.g. meta-llama, deepseek-ai, Qwen, mistralai, google).\n  task: text-generation (default), text-to-image, automatic-speec"
      },
      {
        "name": "service_status",
        "description": "Live up/down/degraded status for major AI & dev services (OpenAI, Anthropic,\nGitHub, Cloudflare, etc.). Use this to answer \"is X up right now?\". Services\nwith issues are listed first.\nArgs:\n  category: filter by ai | dev | infra | platform.\n  only_issues: only return services currently degraded or down.\n  limit: max results.\nEnvelope: measured_at = when the freshest status row was last probed (each row's `updated_at`);\nmax_age 300s matches the ~5-min probe cadence, so freshness is honest live/stale.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observat"
      },
      {
        "name": "ai_provider_latency",
        "description": "Measured latency & uptime for each major AI provider's API (OpenAI, Anthropic,\nGoogle, Mistral, Groq, DeepSeek, xAI) — Dynamic Feed's own measurements, fastest\nfirst. Use this to pick the fastest/most-reliable provider right now, or to route.\nArgs:\n  window_hours: rolling window for the averages (default 24).\nEnvelope: this is OUR measurement probe, so measured_at = when we last probed (the freshest\nrow's `last_checked`); max_age 15 min covers the ~10-min probe cadence, so a current reading\nis \"live\". No samples in the window yields unavailable.\n\nEvery value is returned in an Ed25519-signed, p"
      },
      {
        "name": "software_version",
        "description": "Latest stable versions & end-of-life (EOL) dates for software — languages, runtimes,\nframeworks, databases, and OSes (Python, Node.js, PostgreSQL, React, Kubernetes, Ubuntu, ...).\nUse this instead of guessing: \"what's the latest stable version of X?\" and \"is version Y still\nsupported or end-of-life?\". Each result has `latest_version`, `eol_date`, and a `status`\n(supported / nearing-eol / end-of-life), plus a provenance envelope. Source: endoflife.date.\nArgs:\n  product: exact product slug (e.g. python, nodejs, postgresql, react, kubernetes).\n  query: match a product name if you don't know the e"
      },
      {
        "name": "security_advisories",
        "description": "Recent software security advisories / CVEs — each with the affected package, vulnerable\nversion range, the patched version that fixes it, severity, and CVSS score. Use this to check\nif a package has a recent advisory, or to get the latest critical CVEs. Pairs with\nsoftware_version (is my stack current AND safe?). Newest first. Source: GitHub Advisory Database.\nNote: covers recently-published reviewed advisories, not the full historical CVE corpus.\nEnvelope: this is an EVENT feed, so checked_at = when WE last refreshed the advisory store\n(freshness reflects how current our mirror is, NOT how lo"
      },
      {
        "name": "market_hours",
        "description": "Returns current open/closed status and next open/close times for major exchanges, crypto (24/7), and forex (24/5). Appropriate when a user asks whether a trading venue or market session is open.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "interest_rates",
        "description": "Live US benchmark interest rates — Effective Fed Funds Rate, SOFR, OBFR, etc. from the\nNew York Fed. Use instead of guessing the current Fed/benchmark rate (training data is stale).\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      },
      {
        "name": "satellites",
        "description": "Satellite/constellation catalog with each satellite's altitude, orbital period, and a derived\nspeed-of-light round-trip latency to ground (the physics floor for orbital networks / data\ncenters in space). Use for \"how many Starlink satellites / orbital latency\".\nArgs:\n  group: starlink, stations, gps-ops, oneweb, galileo, weather, active, geo, science.\n  limit: max satellites in the sample.\n\nEvery value is returned in an Ed25519-signed, provenance-stamped envelope (source and observation time) you can verify offline against /.well-known/keys, no account required."
      }
    ],
    "profiled_at": "2026-09-26T06:01:40.692Z"
  },
  "unreachable": false,
  "payment_method": "open"
}