ViceWire
Alt-Data News Analytics

Decode
Market Narratives

Get structured datasets from unstructured noisy news for investment workflows

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Solutions
ViceWire Delivers

More than
Market Sentiment

ViceWire delivers structured company-specific event and sentiment data from over 10,000 public news sources, delivered by API.

Monitor company-specific developments, assess event-related risk, and identify the business unit, operating area, or product line most directly affected by a news story.

API Delivery
Connect to our API to access structured company-specific event data in JSON format.
Compliance
Built from public sources only. No full-text redistribution.
Core Capabilities
01Event Type
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Event Categorization

Capture multiple company-specific event objects from a single news article.

02Tone Layer
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Sentiment Analysis

Distinguish between an article’s tone and the directional market implications of the underlying event.

03Surface
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Business Impact Mapping

Map each company-specific event to the business area, product line, platform, or operating surface most directly implicated by the news story.

04Change State
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Novelty Tracking

Track novel developments and distinguish them from prior reporting, follow-up coverage, duplicates, and syndicated rewrites.

05Subject Weight
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Entity Relevance Signals

Identify whether an company or entity is the main subject of an article or only a peripheral mention.

06Place
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Geography Data

Capture the geographies materially relevant to the reported development.

07Claim Status
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Facts vs Rumors

Separate confirmed developments from sourced reporting and market speculation

Built For
Systematic
Model-Ready Inputs

Structured Parameters for Model Evaluation

Event and sentiment data from company-specific news can complement existing systematic inputs. ViceWire transforms public news sources into structured signals for feature development, and model workflows.

ViceWire — Systematic Workflows
Product
vicewire — event-payloads.json
{  "events": [    {      "event_family": "legal_regulatory",      "event_sub_types": [        {          "sub_type": "consumer_commercial_practices"        }      ],      "event_stage_statuses": [        {          "stage_status": "negotiated_resolution"        }      ],      "timing": "recent",      "editorial_form": "current_events",      "event_family_metadata": {        "procedural_posture": [          "defendant_respondent"        ],        "primary_impact_channel": [          "monetary_liability",          "compliance_cost"        ],        "procedure_event_type": "settlement_or_commitments_entered",        "counterparty_type": [          "regulator"        ],        "remedy_form": [          "fine_penalty",          "compliance_order"        ],        "money_terms": [          {            "kind": "fine_penalty",            "amount": 150000,            "currency": "USD"          }        ],        "compliance_deadline": null,        "post_terminal_activity_type": "compliance_monitoring",        "authority_type": "consumer_protection_regulator",        "jurisdiction": {          "country": "United States",          "country_code": "US",          "region": null,          "state_or_province": "New Jersey",          "state_or_province_code": "NJ",          "city": null,          "supranational": null        }      }    }  ]}

Event payloads

Structured fields for what happened, stage, actors, and affected parts of the business.

vicewire — company-taxonomies.json
{  "affected_business_surface": [    {      "category": "retail_and_direct_sales",      "definition": "Apple retail stores, apple.com/store, Store app, trade-in, or direct-sales-channel exposure.",      "counts": {        "count_value": 11,        "value_type": "count",        "count_entity_type": "store_or_retail",        "operator": "exact"      }    },    {      "category": "pricing_billing_and_subscription_practices",      "definition": "Pricing, billing, subscriptions, refunds, commissions, or related commercial-practice exposure outside a single named product or service.",      "counts": null    },    {      "category": "iphone",      "definition": "iPhone hardware, iPhone device experience, or iPhone-specific commercial exposure.",      "counts": null    },    {      "category": "service_repair_and_warranty",      "definition": "AppleCare, repair, warranty, after-sales service, or support-program exposure.",      "counts": null    }  ]}

Company taxonomies

Maps coverage to the entities and themes that matter for each name you track.

vicewire — workflow-ready.json
{  "entity": {    "security_name": "Apple",    "ticker": "AAPL",    "mic": "IEXG",    "cik": "320193",    "composite_figi": "BBG000B9XRY4"  },  "media_item": {    "title": "Apple Fined $150K by New Jersey for Obscure Store Pricing",    "title_md5": "1cabd7864165f030931f4b7587184a73",    "url_hash": "d2687a0a2558e8f3e19417eb88afc372",    "date_published": "2026-01-16T22:42:00Z",    "available_at": "2026-01-16T22:47:50Z",    "revision_id": "1",    "revision_history": {},    "word_count": 1731,    "sentence_count": 94,    "block_counts": 26,    "company_count": 46,    "mentioned_in_title": true,    "focus_of_article": true,    "first_sid_mentioned": 1  }}

Workflow-ready

Machine-readable layers for monitoring, review, and downstream automation.

Coverage

10,000+ publicly available news sources.

Company-specific Taxonomies

Classify developments using taxonomies tailored to each company.

15 minute refresh

Access refreshed event and sentiment data every 15 minutes.

Advanced Analytics

Access derived signals and workflow-oriented metrics.

What You Get

Structured News Analytics for Machine-Readable Workflows

High volumes of company-specific news make it difficult to determine which stories are connected and what broader narrative they form. ViceWire transforms public coverage into structured event payloads that capture what happened, its stage of development, who was involved, which part of the company or security is affected, and the contextual metadata supported by the text.

This machine-readable event layer is designed to support risk monitoring, event review, and downstream workflows.