AnswerPool Funding Signals

x402

AnswerPool Funding Signals is a paid API for AI agents from answerpool.io, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-31).

Returns aggregated US federal funding signals (USAspending + NIH grants) for a technology keyword across multiple fiscal years, with growth metrics and top recipients.

Price / call$0.02

Seller volume →—

Success—

StatusUnknown

How this service works

Get the US federal money trail for a technology term — returns USAspending obligations by fiscal year with 3y growth, top recipients, NIH grant counts and recent projects, plus flags. Use instead of joining two federal APIs.

Output

A JSON object containing: the queried term, a timestamp, a list of fiscal years covered, US federal spending broken down by fiscal year (grants, contracts, total obligations), a 3-year USAspending growth rate, a 3-year NIH grant growth rate, NIH project counts by fiscal year, a list of recent NIH-funded projects with titles and award amounts, the top funding recipients by name and total amount, and data quality flags (e.g. partial current fiscal year, NIH active).

Example use cases

Technology investment due diligence

“I'm evaluating whether to invest in a synthetic biology startup — can you pull the US federal funding signals for synthetic biology over the last 5 years, including NIH grant trends and top recipients, so I can gauge government interest in the space?”

Research grant landscape assessment

“We're writing an NSF proposal for quantum sensing — can you show me the federal funding history for quantum sensing over the past 6 years, the 3-year growth rate, and recent NIH projects so we can frame our proposal around existing momentum?”

Competitive technology monitoring

“I want to understand how federal funding for large language models has been trending — pull the last 5 fiscal years of USAspending and NIH data for 'large language models' and flag whether it's growing or flat.”

Technical details

Endpoint

GEThttps://answerpool.io/v1/funding/signals?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a quick, pre-computed US federal funding intelligence signal for a specific technology keyword — especially for due diligence, grant proposal research, or trend monitoring. It is ideal for AI agents that need machine-readable, pay-per-call research without maintaining their own data pipelines to USAspending.gov and NIH RePORTER. Prefer it over building custom queries to source APIs when you need growth rates, top recipients, and NIH project listings aggregated in a single call. It is US-federal-focused and keyword-matched, so it is not appropriate for private investment data, non-US government funding, or precise legislative budget analysis.

Side effects

Term too short (under 2 chars) or too long (over 200 chars) returns 422 validation error
Years parameter outside 2–8 range returns 422 validation error
Payment not processed or x402 header missing returns 402 Payment Required
Term that matches no federal spending or NIH data returns empty arrays with zero values
Partial current fiscal year data flagged via 'partial_current_fy' in flags array
NIH RePORTER or USAspending API upstream outage may cause 503 or stale data

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
  }
}

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