How researchers use osModa
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Set up monitors
"Watch arXiv for papers about transformer efficiency" — daily summaries in Telegram.
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Collect data automatically
Scrapers run on schedule. Census data, APIs, web sources — all automated.
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Reproducible by design
SHA-256 audit trail proves what data was collected when. Ready for peer review.
Research & Academia: Paper Monitoring & Data Collection
Automate the tedious parts of research. Monitor arXiv for new papers, build data collection pipelines, schedule experiments, and analyze results — all from one Telegram chat. osModa provides dedicated self-healing servers with cron scheduling, persistent storage, and SHA-256 audit trails for reproducibility. From $14.99/month.
Researchers spend an estimated 50% of their time on tasks that can be automated: literature monitoring, data collection, experiment scheduling, and result processing. The volume of academic publications continues to grow exponentially — arXiv alone receives over 16,000 new papers per month. Staying current with relevant literature, collecting data from disparate sources, and maintaining reproducible pipelines requires infrastructure that runs reliably without constant attention. osModa gives researchers a dedicated server that handles all of this autonomously, with a tamper-proof audit trail that satisfies the growing demand for computational reproducibility in peer review.
TL;DR
- • arXiv and PubMed monitoring agents that deliver annotated paper summaries to your Telegram every morning
- • Data collection pipelines that scrape any source on schedule — government databases, APIs, websites, repositories
- • SHA-256 audit trail provides reproducibility evidence — proves exactly what data was collected when
- • $14.99/mo flat — one server handles all your research automation, from paper monitoring to experiment orchestration
What Researchers Automate on osModa
Researchers and PhD students deploy agents that handle the repetitive infrastructure of academic work — so they can focus on the research itself.
Paper Monitoring
Agents that monitor arXiv, PubMed, SSRN, bioRxiv, and conference proceedings daily. Configure keyword sets, author lists, and topic filters. Receive annotated digests in Telegram every morning with relevance scores, key findings, and links. Never miss a relevant paper in your field again.
Data Collection
Automated scrapers for any public data source: government databases, census APIs, weather services, financial data feeds, social media APIs, and academic repositories. The routines daemon runs collection jobs on schedule. The watchdog ensures long-running scrapes recover from crashes. Data is cleaned and stored on the persistent filesystem.
Experiment Orchestration
Schedule computational experiments to run at specific times or in sequence. Queue parameter sweeps, hyperparameter searches, and ablation studies. The agent manages execution order, collects results, and notifies you via Telegram when runs complete. Crash recovery ensures no experiment is lost mid-run.
Literature Analysis
Build citation graphs from Semantic Scholar or OpenAlex data. Identify research gaps by analyzing publication trends across subfields. Generate literature review drafts from collected papers. Track how specific papers are being cited over time. All results stored persistently and available via Telegram queries.
Built-In Reproducibility
Reproducibility is the foundation of credible research. Journals and reviewers increasingly demand evidence that data was collected and processed exactly as described. osModa's infrastructure provides this evidence automatically — no custom logging code required.
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Tamper-Proof Data Provenance
The SHA-256 hash-chained audit ledger records every data collection action: which source was accessed, when the request was made, what data was returned, and how it was processed. Each entry links cryptographically to the previous one, making any after-the-fact modification immediately detectable. This provides verifiable evidence of your data collection methodology.
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Persistent Experiment State
The persistent filesystem preserves all experiment configurations, intermediate results, raw data, and processed outputs across agent restarts and server reboots. No data is lost if the server crashes during a long-running experiment. The watchdog restarts the process and the experiment resumes from its last checkpoint.
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NixOS Environment Pinning
NixOS declarative configuration means your entire computing environment — packages, libraries, dependencies, system configurations — is version-pinned and reproducible. Share your NixOS configuration file and anyone can recreate your exact environment. This solves the "works on my machine" problem that plagues computational research.
SHA-256
Audit Trail
Persistent
Filesystem
NixOS
Env Pinning
$14.99
/month
Frequently Asked Questions
What research tasks can I automate?
arXiv and PubMed monitoring for new papers matching your keywords, data collection scrapers for any public source, experiment scheduling with cron-like precision, result analysis and visualization, citation graph building from Semantic Scholar or OpenAlex APIs, and grant deadline tracking with escalating reminders. Any research workflow that runs on Linux can be automated on osModa.
Can it monitor arXiv daily?
Yes. Your agent checks arXiv for papers matching your keywords every morning using the arXiv API or RSS feeds. It delivers annotated summaries to your Telegram — including title, authors, abstract highlights, and relevance scores based on your research interests. You can configure multiple keyword sets for different research threads and get separate digest messages for each.
How does data collection work?
Build scrapers for any source — census data, government databases, public APIs, academic repositories, and websites. The routines daemon schedules collection runs automatically on any interval: hourly, daily, weekly, or custom cron expressions. Data is cleaned, validated, and stored on the persistent filesystem. The watchdog ensures long-running scraping jobs recover automatically if they crash mid-collection.
How is this better than Google Scholar alerts?
Google Scholar alerts are limited to basic keyword matching with no customization, no filtering, and no AI summarization. osModa agents monitor any source (arXiv, PubMed, SSRN, bioRxiv, conference proceedings), apply custom filters (date ranges, author lists, citation counts, institutional affiliations), and deliver rich AI-generated summaries with relevance scoring. You can also chain actions: when a relevant paper is found, automatically download the PDF, extract key findings, and add it to your literature database.
Can it help with reproducibility?
Yes. The SHA-256 hash-chained audit trail proves exactly what data was collected, when it was collected, from which source, and what processing was applied. Every scraper run, API call, and data transformation is recorded immutably. This is critical for peer review and replication studies where reviewers need to verify your data collection methodology. The audit ledger provides the evidence that your data pipeline ran exactly as described in your methods section.
Is this affordable for grad students?
$14.99/mo is less than most software subscriptions and significantly less than managed research tools like Semantic Scholar API premium tiers or Elsevier ScienceDirect text mining licenses. One osModa server handles all your research automation — paper monitoring, data scraping, experiment scheduling, result processing, and analysis. No per-query charges, no API rate limit fees, no usage caps on the hosting itself.
Automate Your Research on Infrastructure That Self-Heals
Paper monitoring, data collection, experiment scheduling, and reproducible audit trails. Your research agents run 24/7 on dedicated self-healing infrastructure. From $14.99/month.
Last updated: March 2026