# Atenov int. (@Atenov_D) on x

- id: koinon:creator:x_atenov_d
- url: https://koinonlink.com/kol/x/Atenov_D
- schema_version: 1.4

## Identity
- platform: x
- handle: Atenov_D
- platform_url: https://twitter.com/Atenov_D
- website: https://t.me/+Eo3B4s34t0A3ZWZi
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 13373
- following: 1062
- posts_total: 33781
- posts_observed: 16
- posts_per_day: 22.825
- account_age_days: 1480
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00935
- best_post_interactions: 125
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Claude agent tools, MCP servers, Tavily search for AI agents, Turning LLMs into functional agents
- bio: 📚 | Part of @zscdao |  FullTime Crypto/X | @Polymarket Adept | Two master's degrees in engineering and marketing | Become part of our big family of smart-users

## Audience (inferred)
- status: present
- description: AI practitioners building agents with Claude and similar LLMs, focused on tool integration and agentic workflows
- roles: automation
- seniority: practitioner
- pain_points: Claude lacking native web browsing, scraping and PDF reading, Too many useless MCP servers making it hard to find the ones that matter, AI models hallucinating or relying on outdated information, Inability to get clean structured data from the web instead of just links
- posts_analysed: 3
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.9
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 87
- authenticity_basis: engagement_observed
- credibility_score: 87
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_atenov_d#49db4d99] FREE tools that turn Claude from a chatbot into an agent that browses, scrapes, reads PDFs, and never hallucinates outdated code again. 10 minutes to install. (https://twitter.com/Atenov_D)
- [x_atenov_d#5e7533ef] > 5,000+ MCP servers exist. Most are useless. These five do everything that matters.
- [x_atenov_d#6c533f96] Tavily - search built specifically for AI agents. Instead of links, Claude gets clean structured data ready to process. No more "I can't access this websi

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=67, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=79, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=110, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=79, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=110, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=110, method=platform_profile

## Freshness
- profile_checked_days_ago: 110
- content_analysed_days_ago: 79
- audience_updated_days_ago: 67

## AI retrieval
- indexing_requests: 10
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_atenov_d
- Request removal: https://koinonlink.com/claim?k=x_atenov_d
- Terms: https://koinonlink.com/for-ai