ConfiguredResearch

News Evidence Feed

Turn approved topics, queries, countries, and languages into a recurring feed of publisher-linked news evidence with clean text and explicit retrieval states.

No access or payment before scope confirmation

Your input

Tell us what to run. We handle the operating structure.

You do not need to prepare technical configuration. Provide the business requirements, examples, and approved access; we translate them into fields, rules, and a tested schedule.

What you provide

Approved topics, queries, entities, countries, languages, and date windows
Publisher allowlists, exclusions, and source-priority rules
Required metadata, entities, events, claims, categories, and evidence excerpts
Citation, deduplication, conflict, and human-review rules
Text-retention, summary, embedding, and downstream AI permissions
Frequency, article limits, destination, and named reviewers

How you provide it

Setup form
Topic and query spreadsheet
Source allowlist and exclusion list
Research or communications brief
Example evidence table, API schema, or briefing template
Written citation, licensing, retention, AI-use, and review rules

The result

What this workflow delivers.

A current, source-linked evidence layer that analysts and AI agents can search, retrieve, summarize, compare, and cite without relying on untraceable article snippets.

Best for: Strategy, communications, market research, policy, risk, product, investment, competitive-intelligence, and knowledge teams following defined news topics.

Sources

Approved public news discovery queries and topic feeds
Approved country and language editions
Public publisher article pages when accessible
Customer-supplied source allowlists, exclusions, date windows, entities, and topic definitions

Output fields

Headline, publisher, publisher URL, source domain, discovery position, snippet, and visible publication date
Clean article text when publicly accessible and included in scope
Query or topic, country, language, edition, collection timestamp, and retrieval method
Entity, event, claim, theme, geography, and date fields agreed during setup
Source-linked summary, evidence excerpt, citation key, and confidence or review state
Explicit complete, partial, paywalled, blocked, unavailable, duplicate, language-mismatch, or review-required status

Delivery options

CSV download
JSON download
Airtable base or table
Markdown evidence brief
Google Sheets
Database or vector-store-ready records
Scoped API endpoint
Webhook-ready update feed

Operating scope

Quoted by topics, queries, languages, countries, publishers, articles, frequency, retention, and review requirements
Daily, weekly, or monthly
Public sources

AI-ready delivery

Structured data your team and agents can rely on.

Receive normalized records directly or let an approved agent retrieve them through a scoped interface. Source evidence, transformations, timestamps, and exception states remain available for review.

Use it directly

CSV and JSON exports
Airtable or spreadsheet delivery
Database and warehouse-ready records
Customer-controlled backups

Connect approved agents

Scoped API or webhook access
Filter and retrieve defined records
Summarize, compare, classify, and cite
Route exceptions to a human owner

Keep control

Customer-owned resulting dataset
Raw and normalized values remain distinct
Model, API, hosting, and storage costs are scoped
No autonomous consequential authority

Configurable service

One workflow, configured around the decisions your team owns.

The modules describe business capabilities, not separate tools to operate. Select the coverage, filters, review rules, schedule, and destination during setup.

Available modules

Topic and query discovery - run approved searches and editions by country and language
Publisher article retrieval - collect public metadata and clean text when accessible
Evidence structuring - retain source URLs, citation keys, dates, excerpts, entities, and retrieval states
Multilingual routing - preserve source language and edition context
AI-ready delivery - prepare records for files, Airtable, databases, vector stores, webhooks, or scoped APIs
Conflict and exception review - surface duplicate, paywalled, blocked, weak, conflicting, and review-required evidence

Business questions supported

What relevant public news evidence appeared since the previous run?
Which publishers and source URLs support each finding?
Where do publishers agree, conflict, repeat, or leave evidence gaps?
Which articles are complete, partial, paywalled, blocked, duplicated, or review-required?
What can an approved AI agent retrieve, summarize, classify, or cite from the feed?
Which claims require accountable human verification before use?

Worked example

See what goes in and what comes back.

Examples show the delivery structure before setup. Names and values are illustrative, not client records or performance claims.

Example input

{
  "queries": [
    "industrial heat pump investment",
    "EU industrial decarbonisation policy"
  ],
  "countries_and_languages": [
    "US:en",
    "DE:de"
  ],
  "days_back": 7,
  "max_publishers_per_edition": 20,
  "required_fields": [
    "headline",
    "publisher",
    "published_at",
    "clean_text",
    "source_url"
  ],
  "ai_uses": [
    "Cited daily brief",
    "Entity retrieval"
  ],
  "frequency": "Daily",
  "delivery": [
    "JSON",
    "Scoped API"
  ]
}

Example delivery

Illustrative record

{
  "headline": "Synthetic industrial investment announcement",
  "publisher": "Example Business News",
  "source_url": "https://www.example-news.test/articles/synthetic-investment",
  "published_at_raw": "2026-08-18",
  "query": "industrial heat pump investment",
  "language": "en",
  "country_edition": "US",
  "evidence_excerpt": "Synthetic example text for workflow review.",
  "citation_key": "news-2026-08-19-001",
  "collected_at": "2026-08-19T09:00:00Z",
  "retrieval_state": "complete",
  "review_status": "human_review",
  "example_status": "synthetic"
}

Installation path

From source approval to scheduled operation.

The first representative run is reviewed before the workflow becomes a recurring operation.

Confirm approved topics or queries, countries, languages, publishers, date window, exclusions, evidence fields, and intended AI uses

Run a representative sample and inspect relevance, duplication, publication dates, language, article access, extraction quality, and failure states

Agree source allowlists, citation keys, text retention, deduplication, entity extraction, human review, cadence, and destination

Discover articles and retrieve approved public publisher pages within documented boundaries

Preserve publisher text and metadata separately from summaries, classifications, embeddings, and AI-assisted extraction

Deliver complete, partial, paywalled, blocked, unavailable, duplicate, and review-required states separately

Managed history

Each run adds to a useful operating history.

Recurring runs append timestamped article discovery and retrieval observations so new, changed, duplicated, unavailable, or conflicting evidence remains comparable over time.

Retention and portability

The resulting dataset belongs to the customer. Delivery can be made as CSV, JSON, Airtable, Markdown, a database, vector-ready records, webhook, or scoped API. Aineed Data retains only the managed copy and history agreed for operation. Full text, excerpts, embeddings, backups, deletion, portability, and exit exports follow publisher rights and the engagement scope.

What the accumulated history can support

Let an AI research agent retrieve current source-linked articles by topic, entity, country, language, or date
Generate cited briefs from approved evidence records
Compare coverage, claims, events, and source disagreement across publishers
Classify articles into an agreed topic or risk taxonomy
Detect newly observed entities, announcements, policy changes, or market events
Route conflicting, weak, paywalled, or incomplete evidence to human review
Ground RAG or knowledge-system responses in publisher URLs and evidence excerpts
Trigger approved downstream research tasks without autonomously acting on the claims

Interpretation limits

History makes comparison possible, but it does not remove source limitations or turn signals into guaranteed business outcomes.

Discovery feeds and publisher pages are not exhaustive and vary by query, edition, language, ranking, and time

Publisher dates, headlines, snippets, canonical URLs, and article text can be missing, changed, syndicated, or inconsistent

Some pages are paywalled, blocked, inaccessible, script-dependent, or only partially retrievable

Clean text can include navigation, captions, updates, or unrelated page elements

A published article or repeated claim does not establish truth, independence, authority, or completeness

AI summaries, entity extraction, classification, and embeddings can omit context or introduce errors

Licensing and retention can limit storage of full article text

The feed is scheduled, not guaranteed real-time, and service targets are agreed separately

Safeguards

Automation stays inside agreed boundaries.

Access, retention, exports, and operating controls are confirmed for this workflow before launch.

Approved public news sources and documented research purpose only

No credentials, subscription sessions, cookies, tokens, MFA codes, or paywall access requested

No bypassing paywalls, access controls, publisher restrictions, licensing, robots rules, or request limits

Article text, metadata, excerpts, summaries, and embeddings remain distinguishable

Every generated finding can retain a publisher URL, citation key, and collection timestamp

Conflicting, weak, stale, or single-source claims are flagged for human review

No autonomous publication, trading, legal, medical, security, or other consequential action

No claim of exhaustive news coverage, real-time delivery, publisher endorsement, or factual verification

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Start setup

Configure News Evidence Feed.

Share the sources, rules, and destination. We’ll verify access and confirm the final setup and monthly operating scope.

Setup$500

ManagedQuoted by topic and article volume

Normally liveConfirmed after sample

News Evidence Feed

Tell us what to run. We handle the operating structure.

What you provide

How you provide it

What this workflow delivers.

Sources

Output fields

Delivery options

Operating scope

Structured data your team and agents can rely on.

Use it directly

Connect approved agents

Keep control

One workflow, configured around the decisions your team owns.

Available modules

Business questions supported

See what goes in and what comes back.

From source approval to scheduled operation.

Each run adds to a useful operating history.

What the accumulated history can support

Automation stays inside agreed boundaries.

Continue through the catalogue.

Competitive Price & Assortment Intelligence

Supplier Quote Normalizer

Portal Report Collector

Configure News Evidence Feed.

Configure the workflow.