← PerigonCONTENT HISTORY

Update to Perigon

Snapshot Oct 27, 2026 · 00:49 UTC · version 0.1.7

WHAT CHANGED

Package or technical metadata updated

Package or technical metadata updated

Observed in package metadata. These changes alone do not establish a new customer-facing feature.

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All fields and original values.

Is v2 template

Before

Oct 24, 2026 · 13:35 UTC

Not present

After

Oct 27, 2026 · 00:49 UTC

false

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Full technical diff · 1 changed fields

added /is_v2_template

BEFORE
Field was absent
AFTER
false
Full snapshot data
{
  "canonical_app_id": "asdk_app_6acfb07e92fc8191a133f26cfd746298",
  "connector_id": "asdk_app_6acfb07e92fc8191a133f26cfd746298",
  "created_at": "2026-10-14T19:19:24.623447Z",
  "discoverability": "LISTED",
  "id": "plugin_asdk_app_6acfb07e92fc8191a133f26cfd746298",
  "is_template": false,
  "is_template_instance": false,
  "is_v2_template": false,
  "name": "perigon",
  "release": {
    "app_ids": [
      "asdk_app_6acfb07e92fc8191a133f26cfd746298"
    ],
    "app_manifest": {
      "apps": {
        "perigon": {
          "id": "asdk_app_6acfb07e92fc8191a133f26cfd746298",
          "required": true
        }
      }
    },
    "app_templates": [],
    "description": "Search filterable news data, create monitors that extract structured events, and analyze coverage trends.",
    "display_name": "Perigon",
    "id": "pluginrel_6149880eeb648191aefce212b92e8cb5",
    "interface": {
      "brand_color": "#227C9D",
      "capabilities": [
        "Filter news coverage",
        "Analyze sentiment and coverage trends",
        "Research journalists and publishers",
        "Create news monitors",
        "Extract structured events",
        "Export data and create charts"
      ],
      "category": "Data & Analytics",
      "composer_icon_dark_url": null,
      "composer_icon_url": "https://files.openai.com/content?id=file_00000000c5c481f5818e6efbc74fd29a",
      "default_prompt": "Find negative-sentiment coverage of electric vehicles from the past week and cite the sources.",
      "default_prompts": [
        "Find negative-sentiment coverage of electric vehicles from the past week and cite the sources.",
        "Find journalists covering renewable energy, then show recent articles by two of them.",
        "Find semiconductor news from publishers based in Germany, in English, from the past month."
      ],
      "developer_name": "Perigon",
      "logo_url": "https://files.openai.com/content?id=file_00000000ced8820c902929e0851cc06d",
      "logo_url_dark": null,
      "long_description": "Perigon helps analysts and researchers search, filter and analyze global news data. Search articles and stories by sentiment, journalist, publisher location, company, topic, language and date. Combine filters to find precise coverage, compare trends and produce briefings with source citations.\n\nCreate monitors that track matching news and extract structured fields for analysis. Example requests:\n• Create a monitor for AI startups raising a Series A. Extract funding value, industry, funding type and status.\n• Create a monitor for mentions of my brand in Perigon news coverage, with a sentiment breakdown.\n• Create a monitor for cybersecurity incidents in the financial sector. Extract severity, incident type, data exposure and affected companies.\n\nExplore monitor events and newsletters, then analyze results with Signal Insights exports and charts. New monitors default to drafts unless you ask to activate them. Brand monitoring requires your brand name and any relevant aliases; coverage depends on available sources and your filters.\n\nConnect your Perigon account through OAuth. Available tools and data depend on your organization permissions.",
      "plugin_category_id": "data & analytics",
      "privacy_policy_url": "https://perigon.io/privacy",
      "screenshot_urls": [],
      "short_description": "News research and monitoring",
      "terms_of_service_url": "https://perigon.io/terms",
      "website_url": "https://perigon.io/docs/api/mcp"
    },
    "keywords": [],
    "mcp_servers": [
      {
        "key": "perigon",
        "metadata": {
          "headers": {},
          "type": "streamable-http",
          "url": "https://mcp.perigon.io/v1/mcp?tools=all"
        }
      }
    ],
    "onboarding_skill_name": null,
    "requires_local_executor": false,
    "skills": [
      {
        "description": "List and inspect Perigon monitors, read events and briefings, and analyze monitor output with Signal Insights (export, Python, charts). Use when the user asks about their monitors, monitor events, newsletters, signal analysis, or charts from monitoring data.",
        "interface": {
          "brand_color": null,
          "default_prompt": null,
          "display_name": "perigon-monitor-insights",
          "icon_large_url": null,
          "icon_small_url": null,
          "iconography": "radar",
          "short_description": "List and inspect Perigon monitors, read events and briefings, and analyze monitor output with Signal Insights (export, Python, charts). Use when the user asks about their monitors, monitor events, newsletters, signal analysis, or charts from monitoring data."
        },
        "name": "perigon-monitor-insights",
        "plugin_release_skill_id": "pluginrsk_6ad2681916008191988b508097a5d4fe"
      },
      {
        "description": "Search and analyze global news with Perigon—articles, stories, entities, journalists, sentiment and volume trends, and sourced briefings. Use when the user asks for recent headlines, coverage of a company or person, narrative tracking, journalist beats, competitive news landscape, or quantitative media trends.",
        "interface": {
          "brand_color": null,
          "default_prompt": null,
          "display_name": "perigon-news-research",
          "icon_large_url": null,
          "icon_small_url": null,
          "iconography": "search",
          "short_description": "Search and analyze global news with Perigon—articles, stories, entities, journalists, sentiment and volume trends, and sourced briefings. Use when the user asks for recent headlines, coverage of a company or person, narrative tracking, journalist beats, competitive news landscape, or quantitative media trends."
        },
        "name": "perigon-news-research",
        "plugin_release_skill_id": "pluginrsk_6ad2681914b881918abf3b77a43cef40"
      }
    ],
    "version": "0.1.7"
  },
  "scope": "GLOBAL",
  "share_url": "https://chatgpt.com/plugins/plugin_asdk_app_6acfb07e92fc8191a133f26cfd746298?open_in_app",
  "status": "ENABLED"
}

SHA-256 of public snapshot: 4daa5137ea7cdead687aa65353e78a9de25130749770a46361a41d28646f1f73