FEC Contributions: cited totals by state and committee type avatar

FEC Contributions: cited totals by state and committee type

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$20.00 / 1,000 answer serveds

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FEC Contributions: cited totals by state and committee type

FEC Contributions: cited totals by state and committee type

Cited federal campaign-contribution totals for an election cycle, aggregated by contributor state or by recipient committee type. Every answer carries a receipt: the exact source URL, when it was retrieved, coverage caveats, and guardrails.

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$20.00 / 1,000 answer serveds

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citature

citature

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FEC Contributions — cited campaign-finance totals

Federal campaign-contribution totals for a U.S. election cycle, aggregated by contributor state or by recipient committee type, returned with a full citation receipt. Built for AI agents and analysts who need a number they can defend: every answer carries the exact public source it came from, when it was retrieved, what it covers, and what it does not.

Data comes straight from the Federal Election Commission — the primary, public-domain federal record. No aggregator, no opinion, no scoring.

What you can ask

  • How much did individual contributions total in the 2024 cycle, broken down by the contributor's state?
  • Which committee types (PACs, party committees, candidate committees) took in the most individual contributions in a cycle?

Keywords: FEC, campaign finance, political contributions, donations by state, PAC money, election cycle, committee type, federal election data, campaign donations, money in politics, contribution totals.

Input

FieldTypeRequiredNotes
cycleintegeryesEven election-cycle year, e.g. 2024.
group_by"state" | "committee_type"no (default state)How to aggregate.
limitinteger 1–500no (default 50)Max ranked rows.
{ "cycle": 2024, "group_by": "state", "limit": 5 }

Output — an answer with a receipt

The actor returns one receipt object (also stored as the run's OUTPUT). The answer is the ranked totals; the rest is provenance you can verify yourself.

{
"answer": [
{ "cycle": 2024, "state": "CA", "total_cents": 4820100000, "contribution_count": 91234 },
{ "cycle": 2024, "state": "TX", "total_cents": 3110450000, "contribution_count": 60112 }
],
"citations": [
{
"source": "fec",
"source_label": "U.S. Federal Election Commission",
"query_url": "https://api.open.fec.gov/v1/schedules/schedule_a/by_state/totals/?cycle=2024",
"retrieved_at": "2026-01-02T00:00:00.000Z",
"as_of": null,
"cache": "cached",
"record_id": null
}
],
"coverage": [
"Coverage reflects records currently in citature's dataset, not the full upstream history.",
"Contribution figures are entity-level aggregates; citature ships no individual-person contribution records."
],
"guardrails": [
"Research over public-domain federal records — not legal, financial, or eligibility advice.",
"citature reports what the record says. It never renders a compliance verdict, a screening pass/fail, or a recommendation.",
"Entity-level records only (committees, candidates, recipients, agencies, contracts). No individual-person data."
],
"matches": [],
"schema_version": "0.1.0"
}

Money is always integer cents (total_cents) — no floats, no rounding surprises. retrieved_at is when citature fetched the record; a source's own as-of date, when it publishes one, is a separate field.

Guardrails

  • Research over public-domain federal records — not legal, financial, or eligibility advice.
  • citature reports what the record says. It never renders a compliance verdict, a screening pass/fail, or a recommendation.
  • Entity-level records only. No individual-person data is ever returned.

Pricing

Pay per successful answer. You are charged only when an answer is served; a rejected or failed request is never billed.