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CortexAssay Funding Signals
x402
CortexAssay Funding Signals is a paid API for AI agents from cortexassay.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Returns aggregated US federal funding signals (USAspending + NIH grants) for a technology keyword, including year-by-year obligations, growth rates, and top recipients.
Price / call$0.02
Success—
StatusUnknown
How this service works
Machine-consumable research and technology intelligence computed from open data (OpenAlex, CC0). Pay per call with x402. Schemas, prices and provenance are machine-readable.
Output
A JSON object containing: the queried term, as-of timestamp, list of fiscal years covered, annual USAspending obligations (grants and contracts) per year, 3-year USAspending growth rate, top funding recipients with UEI identifiers and award amounts, NIH project counts per fiscal year, 3-year NIH growth rate, recent NIH project details (title, organization, award amount, project number), and flags (e.g. partial current fiscal year, NIH active status).
Example use cases
Emerging tech investment due diligence
“Can you pull funding signals for 'synthetic biology' over the last 5 years? I want to know how fast government spending is growing and which universities or companies are getting the most money.”
NIH grant activity scan for biotech
“How active has NIH been in funding 'mRNA therapeutics' recently? Show me project counts by year and any recent grants for the past 4 years.”
Technology market sizing for a pitch deck
“I need federal funding trend data for 'autonomous vehicles' going back 6 years — annual spend, 3-year growth rate, and top government contractors or recipients — to support a market overview slide.”
Technical details
Endpoint
GEThttps://cortexassay.com/v1/funding/signalsWhen to prefer
Choose this endpoint when you need machine-readable US federal funding intelligence for a specific technology keyword — especially when you want structured, year-by-year spending trends, NIH grant activity, recipient-level data, and growth signals in a single call. Prefer this over manual USAspending or NIH RePORTER queries when you need aggregated, normalized output ready for downstream analysis or agent reasoning. Best for technology due diligence, competitive landscape research, or policy monitoring use cases.
Side effects
- Term too short (< 2 chars) or too long (> 200 chars) returns validation error
- Years parameter outside 2–8 range returns validation error
- No matching funding records for obscure or misspelled term — returns empty arrays with zero values
- Payment failure via x402 results in 402 response before data is returned
- Partial current fiscal year data flagged with 'partial_current_fy' flag in response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"term": "quantum computing",
"as_of": "2026-08-30T18:00:00Z",
"flags": [
"partial_current_fy",
"nih_active"
],
"fiscal_years": [
2022,
2023,
2024,
2025,
2026
],
"nih_growth_3y": 0.19,
"top_recipients": [
{
"uei": "UYTTZT6G9DT1",
"name": "UNIVERSITY OF CALIFORNIA, SAN DIEGO",
"amount_usd": 44900000
}
],
"usaspending_by_fy": [
{
"fiscal_year": 2025,
"grant_obligations_usd": 57100000,
"total_obligations_usd": 237100000,
"contract_obligations_usd": 180000000
}
],
"nih_projects_by_fy": {
"2024": 47,
"2025": 37
},
"nih_recent_projects": [
{
"title": "Quantum sensing for neuroimaging",
"fiscal_year": 2026,
"project_num": "1R01EB035892-01",
"organization": "MIT",
"award_amount_usd": 612000
}
],
"usaspending_growth_3y": 0.48
}
}Tags
x402
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