Grants and Federal Spending · live proof

$2.96T in federal grant obligations surveyed, 66 concentration findings surfaced from USAspending.gov.

grants-engine ingested 1,000 federal awards (assistance types 02-05, calendar year 2024) from USAspending.gov public data, covering 321 distinct recipients across 15 federal agencies. Tier 1 ran a single deterministic pass against the recipient-concentration check and produced 66 findings (39 critical, 27 high). California's Department of Health Care Services holds 21.36% of all HHS grant obligations across the surveyed window ($511.7B). Amtrak holds 39.33% of all DOT grant obligations ($36.1B). Real federal data, real findings, replayable with the published code version and the same source register.

1,000
Federal awards ingested
321
Distinct recipients
$2.96T
Obligations surveyed
66 findings
39 critical / 27 high
Section 01 · What the data is

USAspending.gov, real federal grant data.

Source. The U.S. Treasury publishes every federal award through USAspending.gov, the federally-mandated public reporting system for federal spending. The search API exposes assistance award types 02 (block grant), 03 (formula grant), 04 (project grant), and 05 (cooperative agreement) at api.usaspending.gov/api/v2/search/spending_by_award/. No authentication required, full query coverage, cited as the authoritative federal record.

What we ingested. 10 pages of 100 awards each, sorted by Award Amount descending, time period January 1 to December 31 2024. Loaded into grants.federal_awards with content-addressable hashes for replay.

What is concentration. A (awarding_agency, recipient_uei) pair is flagged when one recipient receives more than the configured percentage of an agency's total obligations across all surveyed recipients AND exceeds the configured dollar floor. Defaults: 5 percent share, $5,000,000 floor. Severity scales with both share and absolute dollar exposure.

Why this matters. 2 CFR 200 (Uniform Guidance) imposes competition, cost-allowability, and single-audit requirements that scale with both the size of the award and the size of the recipient relative to the agency's grant pool. OMB Circular A-133 routes recipients above defined thresholds into the cognizant agency for single-audit oversight. GAO Yellow Book applies. The public register is the single common reference point for inspectors general, oversight committees, and recipients themselves.

Section 02 · Tier 1 findings, top 25 by dollar exposure

Top of the concentration list, sorted by total agency obligation.

Each row below ran gr_recipient_concentration (Recipient Concentration Risk) against the live ingested federal awards. Severity threshold: critical at 50 percent share OR $1B+, high at 20 percent OR $100M+, medium at 10 percent OR $25M+. The top of the list is dominated by state Medicaid administrators and large transit / emergency-management entities; one large defense-research consortium appears at #24.

# Recipient Awarding Agency Share Total obligation Awards Tier 1 signals
1CA Health Care ServicesHHS21.36%$511,706,412,48413CONCENTRATION-CRITICALDOLLAR-CRITICALMEDICAID-BLOCK
2NYS Department of HealthHHS10.23%$245,142,978,46210CONCENTRATION-CRITICALDOLLAR-CRITICALMEDICAID-BLOCK
3Governor's Authorized RepresentativeDHS19.04%$39,118,357,3265CONCENTRATION-CRITICALDOLLAR-CRITICALDISASTER-RELIEF
4National Railroad Passenger Corp (Amtrak)DOT39.33%$36,084,922,11712CONCENTRATION-CRITICALDOLLAR-CRITICALDEDICATED-RECIPIENT
5NYS Homeland Security & Emergency ServicesDHS16.39%$33,681,467,7475CONCENTRATION-CRITICALDOLLAR-CRITICALDISASTER-RELIEF
6Government of the Virgin IslandsDHS10.70%$21,984,671,3411CONCENTRATION-CRITICALDOLLAR-CRITICALSINGLE-AWARD
7CA Department of EducationUSDA16.30%$19,505,444,92510CONCENTRATION-CRITICALDOLLAR-CRITICALSCHOOL-NUTRITION
8CA Office of Emergency ServicesDHS9.39%$19,299,534,3437CONCENTRATION-CRITICALDOLLAR-CRITICALDISASTER-RELIEF
9Metropolitan Transportation AuthorityDOT20.49%$18,802,241,43710CONCENTRATION-CRITICALDOLLAR-CRITICALTRANSIT
10TX Department of AgricultureUSDA14.11%$16,889,133,5948CONCENTRATION-CRITICALDOLLAR-CRITICALSCHOOL-NUTRITION
11FL Division of Emergency ManagementDHS7.31%$15,027,957,7759CONCENTRATION-CRITICALDOLLAR-CRITICALDISASTER-RELIEF
12TX Division of Emergency ManagementDHS7.03%$14,444,005,1662CONCENTRATION-CRITICALDOLLAR-CRITICALDISASTER-RELIEF
13PR Homeland Security & EmergencyDHS6.19%$12,726,652,8376CONCENTRATION-CRITICALDOLLAR-CRITICALDISASTER-RELIEF
14CA Department of Social ServicesUSDA7.78%$9,316,574,57711CONCENTRATION-CRITICALDOLLAR-HIGHSNAP
15TX Education AgencyEducation17.80%$8,498,930,2176CONCENTRATION-CRITICALDOLLAR-HIGHTITLE-I
16NYS Education DepartmentUSDA5.90%$7,063,410,0867CONCENTRATION-CRITICALDOLLAR-HIGHSCHOOL-NUTRITION
17CA Department of EducationEducation14.77%$7,051,015,7634CONCENTRATION-CRITICALDOLLAR-HIGHTITLE-I
18Climate United FundEPA28.94%$6,970,000,0001CONCENTRATION-CRITICALDOLLAR-HIGHGGRF
19NYS Education DepartmentEducation13.55%$6,471,615,3706CONCENTRATION-CRITICALDOLLAR-HIGHTITLE-I
20FL Department of AgricultureUSDA5.03%$6,019,787,1405CONCENTRATION-CRITICALDOLLAR-HIGHSCHOOL-NUTRITION
21New Jersey Transit CorpDOT6.17%$5,665,981,2297CONCENTRATION-CRITICALDOLLAR-HIGHTRANSIT
22Coalition for Green CapitalEPA20.76%$5,000,000,0001CONCENTRATION-CRITICALDOLLAR-HIGHGGRF
23IL State Board of EducationEducation7.83%$3,737,730,2546CONCENTRATION-CRITICALDOLLAR-HIGHTITLE-I
24National Center for Manufacturing SciencesDoD43.74%$3,386,262,7873CONCENTRATION-CRITICALDOLLAR-HIGHRESEARCH-CONSORTIUM
25TX Comptroller of Public AccountsCommerce8.97%$3,312,616,4551CONCENTRATION-CRITICALDOLLAR-HIGHSINGLE-AWARD
Reality check. The top of this list is structurally concentrated by design. State Medicaid administrators (CA, NY) are the singular conduit for federal Medicaid block grants in their states; emergency-management offices are the designated recipient for FEMA disaster declarations; transit authorities are the dedicated DOT grant counterparty. Some level of concentration is expected and reflects the federal grant architecture, not fraud. The value of this surface is that it gives oversight buyers, OIGs, and inspector-general staff a single court-defensible reference point: the same federal dataset that GAO, OMB, and the cognizant agencies all reference. Routing each concentrated pair through Ava (next section) is what separates expected architectural concentration from genuine sole-source-by-evasion or pass-through fraud.
Section 03 · Severity distribution of the 66 findings

Where the dollars sit.

grants-engine produces a finding per (agency, recipient) pair that crosses the concentration threshold. Severity scales with both share percent and absolute obligation: critical at 50 percent share OR $1B+, high at 20 percent OR $100M+, medium at 10 percent OR $25M+, low otherwise. The 66 findings ingested across 15 federal agencies surface every meaningful concentration in the top-1000 awards population.

39 critical (severity = 'critical')

50 percent share OR $1B+ obligation. Headlines: CA Health Care Services 21.36% / $511.7B (HHS), NYS DOH 10.23% / $245.1B (HHS), GAR 19.04% / $39.1B (DHS), Amtrak 39.33% / $36.1B (DOT). State Medicaid + disaster-relief cohort dominates.

27 high (severity = 'high')

20 percent OR $100M+ exposure. State education agencies (TX TEA, IL ISBE), state agriculture departments (TX TDA, FL FDACS), regional transit (NJ Transit, MTA), GGRF awardees (Climate United, Coalition for Green Capital).

0 medium / 0 low

The dollar floor at $5M and the share floor at 5% kept the long tail out of the run. Lowering the floor surfaces an additional ~200 findings at the medium / low tier; the engine caps to top 500 in any single pass.

Section 04 · The 3 grants-engine checks

What ships when an OIG / IG-staff buyer engages.

Recipient concentration is one signal of three. grants-engine ships two additional production checks gated on the customer profile lob = 'federal_grants_oversight'. Each check runs deterministically against USAspending.gov public data and / or customer-supplied contract modification records, and produces sealed CREB output through the same orchestrator and Ava layer that powers the rest of the platform.

gr_recipient_concentration

Single recipient holds an outsized share of an agency's grant pool. Pattern signal for sole-source awards that should have been competed, capture relationships, or pass-through structures. 2 CFR 200, GAO Yellow Book, OMB Circular A-133.

gr_repeat_prime_to_sub

Identical recipient_uei appears as both prime award holder and parent award holder across distinct awards. Pattern signal for self-subcontracting, layered intermediaries, or administrative-fee skimming on a chain the recipient controls. 2 CFR 200, False Claims Act 31 USC 3729.

gr_period_overrun

action_date past period_of_performance_end OR total_obligation materially exceeds the sum of federal_action_obligation across siblings sharing the same prime_award_id. Pattern signal for unrecorded modifications or scope expansion outside competition. 2 CFR 200.308, FAR 43, OMB A-11.

Note on this run. The USAspending.gov spending_by_award endpoint does not surface parent_award_id or period_of_performance dates for assistance-type awards. The two structural checks (gr_repeat_prime_to_sub, gr_period_overrun) require the customer's own contract modification feed or the prime_subcontract_id companion endpoint. The recipient-concentration check produces 66 findings on the public data alone; the other two unlock when a customer connects their internal grant-management system or routes the bulk USAspending download through the same engine.
Section 05 · Sample CREB (Court Ready Evidence Bundle)

What the OIG takes to a single-audit referral.

One of the 39 critical findings, rendered as a sealed CREB record. The bundle carries the cryptographic finding hash, the exact reproducibility manifest, and the regulatory-basis citations.

finding_id : 83736d25-7fbf-4cdd-9a06-37130939fca0
check_id : gr_recipient_concentration
subject_type : agency_recipient_pair
subject_id : Department of Health and Human Services|JE73CDQUAPA7
recipient_name : HEALTH CARE SERVICES, CALIFORNIA DEPARTMENT OF
recipient_uei : JE73CDQUAPA7
awarding_agency : Department of Health and Human Services
severity : critical
recipient_obligation : $511,706,412,484
agency_total_obligation: $2,395,322,650,000
share_pct : 21.3611%
award_count : 13 awards in surveyed window
source : USAspending.gov public data (search/spending_by_award)
regulatory_basis : 2 CFR 200 (Uniform Guidance), GAO Yellow Book, OMB Circular A-133
code_version : grants-engine@2026.05.01-grants-1
model_version : grants-v1
replay_command : jil-attest replay --bundle GFI-CONCENTRATION-2026-05-01-A001
Section 06 · Methodology and replayability

Deterministic, reproducible, court-defensible.

Deterministic

The check is a SQL aggregate over a public federal dataset. Same input register (USAspending.gov), same threshold parameters, same (awarding_agency, recipient_uei) cohort, every run.

No external LLM

The Tier 1 verdict path is rule-based. Ava (next layer) groups, narrates, and routes; it never produces the underlying flag. JIL operates the in-house LLM directly on customer-controlled hardware. No OpenAI, Anthropic, or Vertex API.

Replay manifest

Every CREB carries the source-dataset hash, code version, query parameters, and signal thresholds. A third party with the same inputs replays the analysis bit-identically and lands on the same finding set.

Reality check. Statistical concentration is not adjudicated fraud. The value of grants-engine for an OIG, IG-staff, or oversight-committee buyer is not "list of bad actors" - it is "list of cohort outliers, sorted by impact, with each finding's audit-pathway and timeline pre-computed". Ava layers on top, separating expected architectural concentration (state Medicaid administrators, FEMA disaster recipients, dedicated transit authorities) from genuine sole-source-by-evasion or pass-through fraud. Real customer engagements add the customer's own grant management system records, sub-recipient feeds, and competition determinations, which surface the layered checks (gr_repeat_prime_to_sub, gr_period_overrun) in Section 04.
Built on the JIL Settlement Engine

One kernel. Eight industries. This vertical runs on the same sovereign L1 + attestation network that ships the other 7. Kernel age: 18+ months. Adding a vertical: ~1 week. Competitor moat: build the kernel first.

See the engine ->