# Brex (@brexHQ) on x

- id: koinon:creator:x_brexhq
- url: https://koinonlink.com/kol/x/brexHQ
- schema_version: 1.4

## Identity
- platform: x
- handle: brexHQ
- platform_url: https://twitter.com/brexHQ
- website: https://brex.com/
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 24058
- following: 2
- posts_total: 7941
- posts_observed: 14
- posts_per_day: 2.605
- account_age_days: 3048
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00037
- best_post_interactions: 9
- 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: fintech
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Expense management automation, AI agents handling finance tasks, Corporate spend data insights, Scaling finance tools for high-growth companies
- bio: We're intelligent finance. Corporate cards, expense management, banking & travel for companies that want to move fast like Anthropic, DoorDash, and 35K+ others.

## Audience (inferred)
- status: present
- description: Finance teams, founders and ops leads at fast-growing tech/AI startups managing corporate cards, expenses and spend
- roles: none
- seniority: decision_maker
- pain_points: Manually categorizing transactions and receipts, Chasing small expenses like $40 Uber rides, Time wasted on expense reports and admin, Tracking and controlling rising AI token costs
- posts_analysed: 8
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.9
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 52
- authenticity_basis: engagement_observed
- credibility_score: 87
- flagged_for_review: false
- koinon_bd_grade: B — 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_brexhq#67e5ade5] Every vendor says they support MCP. Few will tell you how it holds up at scale. Our AI Engineer, Sai Chiligireddy, on spotting the ones that do. 👇 https://t.co/c8Vr3tjwhP (https://twitter.com/brexHQ)
- [x_brexhq#220055d7] Places the Brex blimp has been: — RFP email threads — SF skies — Now, Forbes Our head of OHH Media told @Forbes how we built it with our friends at Buoyant Aero. https://t.co/IiETZIuxJD
- [x_brexhq#87e49ae6] https://t.co/Q9WxY1DdQO
- [x_brexhq#54bd16a5] @cjgustafson breaks down what our data across thousands of companies is showing on token costs. Tap in 👇
- [x_brexhq#19137b22] Nobody throws a party over an expense report getting completed on time. But maybe they should?
- [x_brexhq#8c0308d8] By the time you're done reading this, an AI agent somewhere just handled an expense no one had to think about
- [x_brexhq#89bfe0b1] FYI, nobody starts a company because they love categorizing transactions
- [x_brexhq#988a11f1] Your team's time is worth more than chasing a $40 Uber receipt. Act like it.

## 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=79, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=79, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=79, 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=108, 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=108, 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=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 79
- audience_updated_days_ago: 79

## AI retrieval
- indexing_requests: 13
- 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_brexhq
- Request removal: https://koinonlink.com/claim?k=x_brexhq
- Terms: https://koinonlink.com/for-ai