Agent Data Intelligence · v1

omninexu

Structured financial intelligence endpoints — built for AI agents, not humans.

Agents read /llms.txt → Understand data schema → Query via x402 → Pay in USDC
Zero human intervention. Full machine-to-machine pipeline.

Access on agentic.market Explore Endpoints ↓
5,000+
US Tickers
11
Dimensions
<300ms
Response
agent-readable below

Data Products

GET /intelligence/:ticker → 11-dimension structured response

GET /intelligence/:ticker

Single-ticker company intelligence. 8 scoring dimensions + 3 fact layers.

Available on
agentic.market
01
Sector Momentum
SIC-weighted peer comparison
02
Financial Quality
Multi-period trend scoring
03
Management Signal
Form 4 insider cluster detection
04
Institutional Signal
13F QoQ net flow analysis
05
Expansion Activity
M&A, new markets, hiring
06
Policy Risk
Regulatory & geopolitical exposure
07
Event Activity
Earnings, FDA, litigation signals
08
Composite Score
Weighted aggregation 0–100
Insider Activity (Form 4) Institutional Activity (13F) Financial Trends (10-K/Q)
Sample response excerpt agent.parse() 
{
  "ticker": "AAPL",
  "scores": {
    "sector_momentum": 78,
    "financial_quality": 72,
    "management_signal": 82,
    "institutional_signal": 65,
    "expansion_activity": 70,
    "policy_risk_exposure": 40,
    "event_activity": 25,
    "composite": 68
  },
  "facts": {
    "insider_activity": {
      "discretionary_buys": 3,
      "cluster_detected": true
    },
    "institutional_activity": {
      "net_flow": "accumulation"
    }
  },
  "disclaimer": "客观数据聚合。非投资建议。"
}

Data Sources & Provenance

Every data point traceable to its origin. Agents verify, don't trust.

SEC EDGAR (Primary)

Direct from sec.gov. Form 4 (insider), 13F (institutional), 10-K/Q (financials), 8-K (material events). Parsed via open-source edgartools.

  • Update: real-time 8-K + daily batch
  • Coverage: 1994–present

Exchange Feeds

NYSE/NASDAQ consolidated tape via licensed data vendors. Price, volume, and order-flow data for market context.

  • Latency: <300ms normalized
  • Coverage: all listed US equities

Alternative Data

Publicly-sourced alternative signals: patent filings, FDA calendars, government contract awards, satellite-derived economic indicators.

  • USPTO, FDA, SAM.gov, NOAA
  • Non-commercial, public domain

Agent-Verifiable Provenance

Each endpoint response includes a data_provenance block listing exact source document (e.g., CIK 0000320193, Filing 0000320193-26-000041, Form 4). AI agents can independently fetch and cross-validate the source filing via SEC EDGAR. No black boxes.

Institutional Benchmarking

How OmniNexu maps to major data providers. Transparent field-level comparison.

Dimension omninexu Bloomberg Refinitiv FactSet
Insider Transactions Form 4 → signal score INSR (same source) Insider Filings Insider Transactions
Institutional Ownership 13F → net flow HDS (same source) Institutional Holdings Ownership 2.0
Financial Quality 10-K/Q → trend score FA (same source) Fundamentals Fundamentals
Sector Momentum SIC-weighted peer set Relative Strength Sector Indices RBICS Momentum
Policy Risk Regulatory filings + news NLP GOV, REG ESG → Governance Truvalue
Key difference: Bloomberg/Refinitiv/FactSet charge $2,000–24,000/year per seat. OmniNexu: agent-native, x402 protocol. Same SEC source data. Different delivery model — built for agents, not terminals.
Not a replacement. An alternative access layer for automated workflows.

Agent → Market Pipeline

One URL. Machine-readable. Zero-touch purchase.

①
Discover
llms.txt → catalog
②
Understand
JSON Schema parsing
③
Query
x402 GET /intel/AAPL
④
Pay
USDC settlement
Access Store on agentic.market

Agents: first request omninexu.com/llms.txt for machine-readable catalog