ko.io

Financial DataInfrastructure.

Structured SEC data for AI agents. 100M+ records, updated daily, queryable in milliseconds.

13F holdings, insider trades, congress trading, treasury yields, Fed rates, and market fundamentals — cleaned from SEC EDGAR and federal sources. Query via MCP or REST API from Claude, Cursor, ChatGPT, or any AI agent.

~ / api-request
$
$0.0T
Assets Tracked
0M+
Holdings
0
API Endpoints
<10ms
API Latency
~80%
Institutional Equity Covered
NVDANVDABUY+$12.3B · 347 funds
AAPLAAPLSELL-$3.1B · 128 funds
NVDANVDASELLJensen Huang · -120K shares
JPMJPMBUYJamie Dimon · +33K shares
AVGOAVGOBUYPelosi · $1-5M
METAMETABUY+$8.1B · 289 funds
TSLATSLABUY+$4.2B · 201 funds
AAPLAAPLSELLTim Cook · Form 144 filed
GOOGLGOOGLSELL-$2.8B · 95 funds
MSFTMSFTBUY+$5.2B · 445 funds
AAPLAAPLBUY$110B buyback authorized
VVBUY+$2.1B · 312 funds
AVGOAVGOBUY+$3.8B · 234 funds
NVDANVDASELLTuberville · $250-500K
NVDANVDABUY+$12.3B · 347 funds
AAPLAAPLSELL-$3.1B · 128 funds
NVDANVDASELLJensen Huang · -120K shares
JPMJPMBUYJamie Dimon · +33K shares
AVGOAVGOBUYPelosi · $1-5M
METAMETABUY+$8.1B · 289 funds
TSLATSLABUY+$4.2B · 201 funds
AAPLAAPLSELLTim Cook · Form 144 filed
GOOGLGOOGLSELL-$2.8B · 95 funds
MSFTMSFTBUY+$5.2B · 445 funds
AAPLAAPLBUY$110B buyback authorized
VVBUY+$2.1B · 312 funds
AVGOAVGOBUY+$3.8B · 234 funds
NVDANVDASELLTuberville · $250-500K
Works with every AI platform

One integration. Every agent.

Native MCP support for Claude, Cursor, and Windsurf. REST API for ChatGPT, Gemini, and everything else. SEC filings, macro indicators, and market data — ready in seconds.

Claude

MCP Native

Tool use with 11 SEC data tools

Cursor

MCP Native

Financial context in your IDE

ChatGPT

REST API

Function calling with structured data

Gemini

REST API

Grounded answers with real SEC data

xAI

Grok

REST API

Real-time market intelligence

Windsurf

MCP Native

AI coding with financial data

cursor
query

get_stock_holders
ticker=TSLA quarter=2025-12-31
4,233 positions analyzed
get_institution_holdings
ticker=TSLA action=ADDED,TRIMMED
74.4M rows · 6.1ms
response

Q4 2025: 3,840 institutions modified TSLA positions

1,894 added / 1,466 trimmed / 350 new / 130 exits

Top: Simplex +$5.8B · Jane Street -$6.2B

TSLATSLATesla Inc
Q4 2025NET BUYING
Added
0
Trimmed
0
New
0
Exits
0
Top Movers — Exported
.CSV
.JSON
tsla_institutional_q4_2025.csv4,233 rows
Institution
Action
Shares
Value
Own%
Simplex Trading
NEW_BUY
+18.2M
+$5.8B
2.41%
Norges Bank
ADDED
+12.1M
+$5.3B
1.89%
Vanguard Group
ADDED
+9.8M
+$4.2B
7.22%
Jane Street
TRIMMED
-14.7M
-$6.2B
0.91%
Susquehanna
TRIMMED
-10.3M
-$4.6B
0.68%
74.4M rows analyzed
6.1ms
MCPOne command to connect
$ claude mcp add ko-sec-data --transport http https://mcp.ko.io/mcp
RESTStandard API access
$ curl https://api.ko.io/api/v1/institutions -H "X-API-Key: ko_live_..."

From raw SEC filings to structured queries in milliseconds · View documentation →

Proprietary Data Pipeline

Enterprise-grade extraction. Zero data loss.

A multi-stage ingestion engine that processes every filing from SEC EDGAR and 12 federal data feeds — format detection, schema normalization, entity resolution, and cross-validation in a single pass.

0M+
Records Processed
0
Live Datasets
0
Automated Pipelines
0
Federal Sources
Raw EDGAR → Structured JSON
sec-edgar-filing.xml
<informationTable>
<infoTable>
<nameOfIssuer>APPLE INC</...>
<titleOfClass>COM</...>
<cusip>037833100</...>
<value>69899380</...>
<sshPrnamt>SH</...>
<sshPrnamtType>300000000</...>
<investmentDiscretion>SOLE</...>
</infoTable>
// No ticker. No deltas. No context. Repeat ×41 positions ×12,176 filers ×40 quarters.
ko.io/api/v1/holdings
3.8ms
{
"ticker": "AAPL",
"institution": "Berkshire Hathaway",
"value": 69_899_380_000,
"shares": 300_000_000,
"weight": 26.2,
"change_pct": -49.3,
"action": "REDUCE",
"quarter": "2024-09-30"
}
// Ticker resolved. Change computed. Action labeled. Query-ready.

Broader than any competitor.

SEC filings + macro economics + market microstructure + banking — in one unified API. No other platform covers this range.

SEC & Corporate

8/11

75M+ filings parsed

13F Institutional Holdings
74.4M
Form 4 Insider Trades
271K
Congress STOCK Act
21K
10-K/10-Q Financials
449K
Form 144 Notices
4K
SC 13D/G Activism
1.9K
Form D Placements
5.7K
8-K Buybacks
1K
Mgmt Changes (8-K)
—
Exec Comp (DEF 14A)
—
N-PORT Fund Holdings
—

Rates, Macro & Energy

8/8

8 federal sources

Treasury Yield Curve
9K
Treasury Auctions
7.5K
U.S. Public Debt
8.3K
Fed Funds / SOFR
14.7K
Fed Balance Sheet
4.3K
Bank Credit (H.8)
3.4K
CPI / PPI / NFP / JOLTS
4.6K
Crude Oil & Nat Gas
29.6K

Market Micro & Banking

8/8

44M+ market signals

FINRA Short Volume
17.8M
SEC Fails to Deliver
10.9M
Stock Prices (OHLCV)
13.5M
CFTC Positioning
200K
Financial Stress (OFR)
39.8K
FDIC Bank Financials
1.68M
FDIC Bank Directory
27.8K
Bank Failures (1934–)
3.6K

Questions your agent can answer

“What did Berkshire buy or sell last quarter?”

74.4M+Data Records
48Structured Datasets
<10msp99 Latency
99.9%Uptime SLA
Built for teams at
MIT
Harvard
Stanford
ETH Zurich
Chicago
Caltech
UTokyo
INSEAD
CFA Institute
MIT
Harvard
Stanford
ETH Zurich
Chicago
Caltech
UTokyo
INSEAD
CFA Institute

What our users say

From AI agent builders to research teams — real feedback from people building with ko.io.

“Replaced our Bloomberg 13F workflow entirely. The quarter-over-quarter changes are pre-computed — saved us probably 20 hours last filing season. API response times are absurdly fast.”

Marcus Chen

Marcus Chen

Quant Researcher · New York

“I check congressional trades every morning before market open. The disclosure delay field is something I genuinely haven't found elsewhere. Worth it for that alone.”

Sarah Mitchell

Sarah Mitchell

Portfolio Manager

“Clean API, good docs. Built an insider trading alert bot over a weekend. Only wish is more granular webhook support — for now I poll every few minutes which works fine.”

James Park

James Park

Full-Stack Developer

“We track position changes across 50+ institutions each quarter. The data quality is excellent — no more wrestling with raw EDGAR XML. The free tier was enough to evaluate before our team committed.”

Emily Rodriguez

Emily Rodriguez

Equity Research Analyst

“Migrated from a competitor and the ClickHouse backend is noticeably faster. The MCP integration is a nice touch for quick exploration. Documentation could use a few more examples but overall solid.”

David Okonkwo

David Okonkwo

Data Engineer

“Used the Form 4 data to cross-reference insider selling patterns for a story. The structured data made what would've been weeks of EDGAR scraping into an afternoon of analysis.”

Priya Kapoor

Priya Kapoor

Financial Journalist

Your AI already knows finance.Give it the data.

Free plan with 100 API calls per day. No credit card required. MCP + REST API — connect any AI agent in one command.

Get Free API KeyDocumentation →