Use it directly
- CSV and JSON exports
- Airtable or spreadsheet delivery
- Database and warehouse-ready records
- Customer-controlled backups
Monitor approved public X profiles and timelines with structured tweet, profile, media, and engagement history for research and human review.
Your input
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.
The result
A recurring, source-linked dataset of public posts and profile context showing what selected accounts published, when it was published, and how publicly visible engagement changed between observations.
Best for: Social, communications, content, brand, campaign, market-research, competitive-intelligence, and AI-data teams with a defined public-content monitoring purpose.
AI-ready delivery
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.
Explore managed services for outreach and follow-upConfigurable service
The modules describe business capabilities, not separate tools to operate. Select the coverage, filters, review rules, schedule, and destination during setup.
Worked example
Examples show the delivery structure before setup. Names and values are illustrative, not client records or performance claims.
Example input
{
"username": [
"example_public_account",
"https://x.com/example_brand"
],
"count": 20,
"include_replies": false,
"include_retweets": true,
"frequency": "Weekly",
"delivery": "Social review table"
}Example delivery
Illustrative record{
"username": "example_public_account",
"profile_url": "https://x.com/example_public_account",
"tweet_id": "synthetic-tweet-001",
"tweet_url": "https://x.com/example_public_account/status/synthetic-tweet-001",
"text": "Example public post text",
"created_at": "2026-08-19T09:30:00Z",
"observed_likes": 125,
"observed_retweets": 18,
"observed_replies": 7,
"is_reply": false,
"is_retweet": false,
"availability_status": "public",
"collected_at": "2026-08-19T10:00:00Z",
"review_status": "review",
"example_status": "synthetic"
}Installation path
The first representative run is reviewed before the workflow becomes a recurring operation.
Define the approved public-account watchlist, purpose, fields, result limits, date window, and exclusions
Run a representative sample using the configured X profile and timeline source
Review field availability, deduplication, unavailable items, engagement interpretation, and media handling
Confirm schedule, comparison logic, retention, destination, and review thresholds
Launch the recurring monitoring cycle
Report blocked, partial, changed, or unavailable source results as visible states
Managed history
Each run appends timestamped observations rather than silently replacing prior values. Tweet text, publication state, profile context, observed engagement counts, media references, availability states, and review decisions can be compared across the agreed monitoring period.
Retention and portability
Retention is agreed during setup. Structured records can be exported to CSV, JSON, spreadsheets, Airtable, a database, a warehouse, a scoped API, or another customer-controlled destination. Tweet text, usernames, profile details, media references, and author-level records require purpose-specific retention and rights terms. Deletion, managed archives, and exit exports are defined explicitly. The resulting dataset belongs to the customer. Aineed Data retains only the managed copy and history agreed for operation.
Interpretation limits
History makes comparison possible, but it does not remove source limitations or turn signals into guaranteed business outcomes.
Results reflect public X content visible at collection time and are not a complete or real-time record
Guest or public collection can be rate-limited, sampled, delayed, incomplete, or unavailable
Engagement counts may differ from a logged-in view and can change after collection
Replies, retweets, media, deleted posts, and profile fields may require separate handling
Unavailable fields remain explicit missing states rather than inferred values
Engagement does not establish sentiment, authenticity, influence, audience quality, or business impact
Customers remain responsible for lawful purpose, platform terms, privacy requirements, rights, source licences, and downstream use
Safeguards
Access, retention, exports, and operating controls are confirmed for this workflow before launch.
Publicly accessible X content only
No private profiles, login-restricted content, credential collection, or access-control bypassing
Source URLs and collection timestamps retained
No automated posting, liking, following, messaging, outreach, or account actions
No sensitive-trait inference or demographic profiling
Media capture and downstream reuse require explicit rights and retention approval
No representation of X affiliation, endorsement, official API status, or complete coverage
Customers remain responsible for lawful purpose, platform terms, privacy, rights, and downstream use
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Share the sources, rules, and destination. We’ll verify access and confirm the final setup and monthly operating scope.