api.aitrailblazer.net

13 resources322ms p50

api.aitrailblazer.net

AITrailblazer serves quantitative analysts, portfolio risk teams, and automated research agents that need structured, filing-backed covenant stress metrics and alpha screening signals. Its DeltaSignal and ATLAS-7 datasets cover corporate debt covenant resilience, crypto issuer stress rankings, and aggregate risk distribution across tracked entities. It is distinct in combining SEC XBRL covenant data with live crypto price adjustments to produce stress scenarios at defined percentile thresholds.

Capabilities

Aggregate Risk Landscape

Provides a top-level view of how covenant stress is distributed across all tracked entities, useful as an entry point for portfolio-level risk dashboards or triage workflows.

fetch-risk-distribution

Covenant Stress Screening

Screens and retrieves detailed covenant stress metrics for public companies and crypto issuers, including stress scores at multiple scenario percentiles, risk tier classifications, and debt coverage status.

fetch-covenant-stressfetch-top-stressed-crypto-issuers

Alpha Opportunity Identification

Ranks and filters equity issuers by DeltaSignal alpha scores, risk tier, and debt coverage status, providing a first-pass screened list for further issuer-level research.

fetch-alpha-opportunities

Historical Stress Time-Series

Supplies precomputed historical Atlas stress records keyed by ticker and source_date, enabling time-series joins against mNAV or Mirror Pulse datasets for longitudinal stress analysis.

fetch-atlas-history

Workflows

Portfolio Covenant Risk Triage

Use when an agent needs to move from a high-level risk snapshot down to specific stressed entities for deeper review.

1
fetch-risk-distributionRetrieve the current aggregate breakdown of CRITICAL, HIGH, MODERATE, and LOW risk tiers to understand the overall stress landscape.
2
fetch-covenant-stressFilter by the risk tiers of concern (e.g., CRITICAL or HIGH) to retrieve per-entity covenant stress details, stress scores, and debt coverage status.
3
fetch-top-stressed-crypto-issuersIf crypto exposure is relevant, retrieve the ranked list of most-stressed crypto issuers to cross-reference against the broader covenant stress results.

Alpha Screening to Stress Validation

Use when an agent needs to identify high-alpha equity candidates and then validate their covenant resilience before surfacing them for action.

1
fetch-alpha-opportunitiesRetrieve a ranked, filtered list of high-alpha issuers from DeltaSignal, optionally scoped by risk tier or debt coverage status.
2
fetch-covenant-stressFor tickers returned by the alpha screen, retrieve detailed covenant stress scores and scenario percentiles to confirm resilience before further drilldown.

Longitudinal Stress Analysis

Use when an agent needs to analyze how covenant stress for a specific ticker has evolved over time and join it to other historical datasets.

1
fetch-covenant-stressRetrieve current or recent-period covenant stress snapshots for the target ticker to establish a baseline stress profile.
2
fetch-atlas-historyPull the full historical Atlas stress record for the same ticker, keyed by source_date, to enable time-series comparison and joining against mNAV or Mirror Pulse records.

Use this host in Claude

Copy the skill below, then add it on claude.ai under Skills → Create skill → Upload.

Machine-readable: skills.json · SKILL.md · manifest.json

$2.24

across27settlements·$0.08avg

3buyers

1sellers

All-time context: $17.40 across 205 settlements

Facilitators

all-time breakdown

Coinbase27 txns$2.24

Chains

Last 24h

base

Resources (13)

All-time breakdown

Resource	Category	Quality	Tier	Txns	Volume
Morning Brief Natural https://api.aitrailblazer.net/v1/morning-brief/natural	AI	—	host level	—	—
Covenant Stress Check https://api.aitrailblazer.net/v1/covenant-stress	Analytics	93	host level	—	—

Own api.aitrailblazer.net? List it with your agent

Paste the prompt below to your coding agent. It runs a real paid test on every route, fixes what scores low, and re-auditions until they pass — the gaps below are already filled in for you.

2 of 13 routes have never been scored — the audition tests them for the first time.
5 routes are scoring below 50 — likely broken, mispriced, or returning the wrong shape.

Paste this to your agent

Make my x402 API at https://api.aitrailblazer.net discoverable on x402gle. Read the instructions at https://x402gle.com/agent.md and follow them end to end. Install the OpenDexter CLI, then run `npx @dexterai/opendexter audition https://api.aitrailblazer.net --json`. Heads up: 2 routes have never been scored and 5 routes are scoring below 50 — start there. Read the score and fixInstructions for every route, fix my OpenAPI and endpoints until each route passes, and re-audition until it does. A passing audition lists my API automatically.

New to this? How agent-first onboarding works.

Latest Settlements

Live feed

For	Via	Chain	Amount	Buyer	Tx	Time

api.aitrailblazer.net