Compare technology and communications spending efficiency for JPMorgan Chase and Bank of America for FY-2024
failed
demo-tech-comms-spending-efficiency-jpm-bac-2024
7.6s
0 LLM calls
0 in / 0 out
~$0
JobRequest (constructed by intake)
- Question
- Compare technology and communications spending efficiency for JPMorgan Chase and Bank of America for FY-2024
- analysisId
demo-tech-comms-spending-efficiency-jpm-bac-2024- Period
FY-2024- Sources
sec-edgar
Entities
Target metrics (source concepts)
Pipeline
baseline
source-extraction
fail
- Std 2 validate-input validated request: 2 entity(ies), 1 metric(s), period=FY-2024, sources=[sec-edgar]
- Std 5 retrieve delegating retrieval to LLM (claude-haiku-4-5) with 10 SEC tool(s) available: [sec_edgar_companies, sec_financials, sec_submissions, sec_filing_document, sec_filing_index, sec_filing_sections, sec_full_text_search, sec_company_concept, sec_xbrl_frames, sec_insider_form4]
- Std 3 parse-and-extract starting tool-use extraction over 2 entity(ies) × 1 metric(s)
- Std 5 tool-call sec_edgar_companies(searchTerms="JPMorgan Chase, JPM, Bank of America, BAC") → 10 match(es): JPM, BAC, BTI, FANG, LMB, ABX
- Std 5 tool-call sec_financials(cik="0000019617") → JPMORGAN CHASE & CO — 935 concept(s) across [dei, invest, srt, us-gaap, ffd, ecd]
- Std 5 tool-call sec_financials(cik="0000070858") → BANK OF AMERICA CORP /DE/ — 899 concept(s) across [dei, invest, us-gaap, ffd]
baseline
normalization
idle
- (no trace; never reached)
baseline
resolution
idle
- (no trace; never reached)
intelligence
analytical-table
idle
- (no trace; never reached)
intelligence
performance-metrics
idle
- (no trace; never reached)
intelligence
comparisons-synthesis
idle
- (no trace; never reached)
intelligence
insight-synthesis
idle
- (no trace; never reached)
Run failed
- Agent
baseline.source-extraction- Category
unrecoverable-extraction- Reason
- 400 {"type":"error","error":{"type":"invalid_request_error","message":"prompt is too long: 216620 tokens > 200000 maximum"},"request_id":"req_011CbNXKGwGSwC3hAGoCbQwn"}
Anthropic usage (Haiku 4.5 list pricing)
| Agent | Model | Calls | In tok | Out tok | ~Cost |
|---|---|---|---|---|---|
| No LLM calls in this run. | |||||
| TOTAL | 0 | 0 | 0 | $0 | |
Full audit JSON
(11,430 chars)
{
"analysisId": "demo-tech-comms-spending-efficiency-jpm-bac-2024",
"ok": false,
"finalHandoff": null,
"failure": {
"agent": "baseline.source-extraction",
"agentVersion": "1.0.0",
"category": "unrecoverable-extraction",
"reason": "400 {\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"prompt is too long: 216620 tokens > 200000 maximum\"},\"request_id\":\"req_011CbNXKGwGSwC3hAGoCbQwn\"}",
"context": {
"llmFailure": {
"category": "sdk-error",
"reason": "400 {\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"prompt is too long: 216620 tokens > 200000 maximum\"},\"request_id\":\"req_011CbNXKGwGSwC3hAGoCbQwn\"}"
},
"input": {
"analysisId": "demo-tech-comms-spending-efficiency-jpm-bac-2024",
"question": "Compare technology and communications spending efficiency for JPMorgan Chase and Bank of America for FY-2024",
"entities": [
{
"id": "JPMorgan Chase & Co.",
"aliases": [
"JPM",
"JPMorgan Chase"
]
},
{
"id": "Bank of America Corporation",
"aliases": [
"BAC",
"Bank of America"
]
}
],
"targetMetrics": [
{
"key": "tech_comms_spending_efficiency",
"definition": "Technology and communications expense as a ratio of operating revenue, measuring the proportion of revenue spent on technology and communications infrastructure.",
"unit": "percent"
}
],
"sources": [
"sec-edgar"
],
"period": "FY-2024"
}
},
"lineage": {
"sourceUrl": null,
"capturedAt": "2026-05-25T02:47:36.292Z",
"effectiveAs": null,
"agentVersion": "1.0.0",
"upstream": []
},
"attempts": 0,
"recursionDepth": 0,
"occurredAt": "2026-05-25T02:47:36.292Z"
},
"escalations": [
{
"agent": "baseline.source-extraction",
"reason": "critical-validation-failure",
"failureContext": "400 {\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"prompt is too long: 216620 tokens > 200000 maximum\"},\"request_id\":\"req_011CbNXKGwGSwC3hAGoCbQwn\"}",
"lineage": {
"sourceUrl": null,
"capturedAt": "2026-05-25T02:47:36.292Z",
"effectiveAs": null,
"agentVersion": "1.0.0",
"upstream": []
},
"validation": {
"status": "review",
"confidence": {
"value": 0,
"tier": "low",
"rationale": "LLM unavailable or invalid response"
},
"checks": [
{
"name": "llm-available",
"passed": false
}
]
},
"recommendedReviewer": "data-steward",
"raisedAt": "2026-05-25T02:47:36.292Z"
}
],
"repositorySnapshot": {
"records": [],
"exceptions": [],
"learnedRules": [],
"overrides": [],
"escalations": [
{
"agent": "baseline.source-extraction",
"reason": "critical-validation-failure",
"failureContext": "400 {\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"prompt is too long: 216620 tokens > 200000 maximum\"},\"request_id\":\"req_011CbNXKGwGSwC3hAGoCbQwn\"}",
"lineage": {
"sourceUrl": null,
"capturedAt": "2026-05-25T02:47:36.292Z",
"effectiveAs": null,
"agentVersion": "1.0.0",
"upstream": []
},
"validation": {
"status": "review",
"confidence": {
"value": 0,
"tier": "low",
"rationale": "LLM unavailable or invalid response"
},
"checks": [
{
"name": "llm-available",
"passed": false
}
]
},
"recommendedReviewer": "data-steward",
"raisedAt": "2026-05-25T02:47:36.292Z"
}
],
"failures": [
{
"at": "2026-05-25T02:47:36.292Z",
"failure": {
"agent": "baseline.source-extraction",
"agentVersion": "1.0.0",
"category": "unrecoverable-extraction",
"reason": "400 {\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"prompt is too long: 216620 tokens > 200000 maximum\"},\"request_id\":\"req_011CbNXKGwGSwC3hAGoCbQwn\"}",
"context": {
"llmFailure": {
"category": "sdk-error",
"reason": "400 {\"type\":\"error\",\"error\":{\"type\":\"invalid_request_error\",\"message\":\"prompt is too long: 216620 tokens > 200000 maximum\"},\"request_id\":\"req_011CbNXKGwGSwC3hAGoCbQwn\"}"
},
"input": {
"analysisId": "demo-tech-comms-spending-efficiency-jpm-bac-2024",
"question": "Compare technology and communications spending efficiency for JPMorgan Chase and Bank of America for FY-2024",
"entities": [
{
"id": "JPMorgan Chase & Co.",
"aliases": [
"JPM",
"JPMorgan Chase"
]
},
{
"id": "Bank of America Corporation",
"aliases": [
"BAC",
"Bank of America"
]
}
],
"targetMetrics": [
{
"key": "tech_comms_spending_efficiency",
"definition": "Technology and communications expense as a ratio of operating revenue, measuring the proportion of revenue spent on technology and communications infrastructure.",
"unit": "percent"
}
],
"sources": [
"sec-edgar"
],
"period": "FY-2024"
}
},
"lineage": {
"sourceUrl": null,
"capturedAt": "2026-05-25T02:47:36.292Z",
"effectiveAs": null,
"agentVersion": "1.0.0",
"upstream": []
},
"attempts": 0,
"recursionDepth": 0,
"occurredAt": "2026-05-25T02:47:36.292Z"
}
}
]
},
"trace": [
{
"agent": "baseline.source-extraction",
"standard": 2,
"step": "validate-input",
"detail": "validated request: 2 entity(ies), 1 metric(s), period=FY-2024, sources=[sec-edgar]",
"at": "2026-05-25T02:47:28.706Z"
},
{
"agent": "baseline.source-extraction",
"standard": 5,
"step": "retrieve",
"detail": "delegating retrieval to LLM (claude-haiku-4-5) with 10 SEC tool(s) available: [sec_edgar_companies, sec_financials, sec_submissions, sec_filing_document, sec_filing_index, sec_filing_sections, sec_full_text_search, sec_company_concept, sec_xbrl_frames, sec_insider_form4]",
"at": "2026-05-25T02:47:28.706Z"
},
{
"agent": "baseline.source-extraction",
"standard": 3,
"step": "parse-and-extract",
"detail": "starting tool-use extraction over 2 entity(ies) × 1 metric(s)",
"at": "2026-05-25T02:47:28.706Z"
},
{
"agent": "baseline.source-extraction",
"standard": 5,
"step": "tool-call",
"detail": "sec_edgar_companies(searchTerms=\"JPMorgan Chase, JPM, Bank of America, BAC\") → 10 match(es): JPM, BAC, BTI, FANG, LMB, ABX",
"at": "2026-05-25T02:47:30.626Z"
},
{
"agent": "baseline.source-extraction",
"standard": 5,
"step": "tool-call",
"detail": "sec_financials(cik=\"0000019617\") → JPMORGAN CHASE & CO — 935 concept(s) across [dei, invest, srt, us-gaap, ffd, ecd]",
"at": "2026-05-25T02:47:34.664Z"
},
{
"agent": "baseline.source-extraction",
"standard": 5,
"step": "tool-call",
"detail": "sec_financials(cik=\"0000070858\") → BANK OF AMERICA CORP /DE/ — 899 concept(s) across [dei, invest, us-gaap, ffd]",
"at": "2026-05-25T02:47:35.116Z"
}
],
"standards": [
{
"n": 1,
"name": "Objective",
"gist": "Single clear responsibility with explicit boundaries."
},
{
"n": 2,
"name": "Inputs",
"gist": "Structured, machine-readable; lineage + confidence persist."
},
{
"n": 3,
"name": "Decision logic",
"gist": "Explicit, deterministic where possible, every decision recorded."
},
{
"n": 4,
"name": "Rules & constraints",
"gist": "Preserve raw, lineage, audit; no fabrication; approved tools only."
},
{
"n": 5,
"name": "Methods & tools",
"gist": "Capability-based; approved + connected; lineage-preserving."
},
{
"n": 6,
"name": "Processing",
"gist": "Modular, repeatable, replayable; numbered runbook."
},
{
"n": 7,
"name": "Validation & confidence",
"gist": "Every output carries validation status + confidence tier."
},
{
"n": 8,
"name": "Conditional triggers",
"gist": "Explicit exception categories; traceable, context-preserving."
},
{
"n": 9,
"name": "HITL escalation",
"gist": "Defined thresholds; escalations carry full context."
},
{
"n": 10,
"name": "Repository write-back",
"gist": "Agents declare; orchestrator persists."
},
{
"n": 11,
"name": "Handoff",
"gist": "Standardized envelope; downstream never reconstructs context."
},
{
"n": 12,
"name": "Failure handling",
"gist": "Fail safely; bounded retries + recursion; structured FailureObject."
}
],
"pipeline": [
{
"kind": "agent",
"pillar": "baseline",
"agent": "source-extraction"
},
{
"kind": "agent",
"pillar": "baseline",
"agent": "normalization"
},
{
"kind": "agent",
"pillar": "baseline",
"agent": "resolution"
},
{
"kind": "agent",
"pillar": "intelligence",
"agent": "analytical-table"
},
{
"kind": "agent",
"pillar": "intelligence",
"agent": "performance-metrics"
},
{
"kind": "agent",
"pillar": "intelligence",
"agent": "comparisons-synthesis"
},
{
"kind": "agent",
"pillar": "intelligence",
"agent": "insight-synthesis"
}
],
"jobRequest": {
"analysisId": "demo-tech-comms-spending-efficiency-jpm-bac-2024",
"question": "Compare technology and communications spending efficiency for JPMorgan Chase and Bank of America for FY-2024",
"entities": [
{
"id": "JPMorgan Chase & Co.",
"aliases": [
"JPM",
"JPMorgan Chase"
]
},
{
"id": "Bank of America Corporation",
"aliases": [
"BAC",
"Bank of America"
]
}
],
"targetMetrics": [
{
"key": "tech_comms_spending_efficiency",
"definition": "Technology and communications expense as a ratio of operating revenue, measuring the proportion of revenue spent on technology and communications infrastructure.",
"unit": "percent"
}
],
"sources": [
"sec-edgar"
],
"period": "FY-2024"
},
"elapsedMs": 7588
}