What are the key findings in "Mapping the AI economy"?
9/17/2026, 3:56:25 AM · llm:deepseek:deepseek-v4-flash + heuristic (fallback from llm:mimo:mimo-v2.5) on 1 step
The dispatch, itemised.
Breaking down: "What are the key findings in "Mapping the AI economy"?"
Identified 1 research target(s) to investigate; these are not established facts
Deep mode: up to 4 paid/cached reads plus one bounded gap-expansion pass when needed.
Discovered 21 verified source(s)
Recalled 42 past runs on this subject — how these sources performed when they were available.
ERC-8004 reputation loaded — composite scores on this subject.
Claim-aware portfolio selected 3/3 positive proposal(s): 0 cached + 3 fresh, predicting 1/1 claim(s) above the evidence floor with $0.006000/$0.015000 fetch USDC reserved.
Free-preview pre-check maps an actionable source to every sub-claim (1/1); paid reading may proceed within the budget.
Strong topical match on key, economy, addresses sub-claim 1; worth the 0.002 USDC toll. — selected for the claim-aware evidence portfolio (targets claim 1; $0.002000 fetch USDC, 1 attention slot).
Strong topical match on key, economy, addresses sub-claim 1; worth the 0.002 USDC toll. — selected for the claim-aware evidence portfolio (targets claim 1; $0.002000 fetch USDC, 1 attention slot).
Strong topical match on key, addresses sub-claim 1; worth the 0.002 USDC toll. — selected for the claim-aware evidence portfolio (targets claim 1; $0.002000 fetch USDC, 1 attention slot).
Weak match (no key terms); not worth 0.003 USDC.
Already cached and still relevant (matches economy); reuse for free instead of paying again. — cached bytes are free, but this read does not clear the attention gate (EV 0.20, minimum 0.45, with a required claim target).
Weak match (no key terms); not worth 0.005 USDC.
Already cached and still relevant (matches key); reuse for free instead of paying again. — cached bytes are free, but this read does not clear the attention gate (EV 0.20, minimum 0.45, with a required claim target).
Weak match (no key terms); not worth 0.002 USDC.
Weak match (no key terms); not worth 0.002 USDC.
Already cached and still relevant (matches mapping, economy); reuse for free instead of paying again. — cached bytes are free, but this read does not clear the attention gate (EV 0.40, minimum 0.45, with a required claim target).
Weak match (no key terms); not worth 0.002 USDC.
Weak match (no key terms); not worth 0.004 USDC.
Weak match (no key terms); not worth 0.003 USDC.
Weak match (no key terms); not worth 0.003 USDC.
Weak match (no key terms); not worth 0.004 USDC.
Weak match (no key terms); not worth 0.003 USDC.
Weak match (no key terms); not worth 0.002 USDC.
Weak match (no key terms); not worth 0.002 USDC.
Weak match (no key terms); not worth 0.003 USDC.
Weak match (no key terms); not worth 0.002 USDC.
Weak match (no key terms); not worth 0.002 USDC.
Agent spend wallet ready: 0x29028Fe1122E17Fe7863A22701e863FE4DaE1aFB (balance sufficient)
Paying $0.002 toll to read Conzit Labs — St. Louis Stakes Its Claim in the AI Infrastructure Race…
Paid $0.002 to Conzit Labs — St. Louis Stakes Its Claim in the AI Infrastructure Race (settled 3f5d61d9-0…) — S1
Sub-claim "What are the key findings reported in "Mapping the AI econom…": 0% covered
The only gathered source (S1) is an abstract about St. Louis's AI infrastructure investment, not the article "Mapping the AI economy." It provides no findings from that article, so the requested key findings are not covered. The assessment does not establish a complete supported answer for every requested part.
Paying $0.002 toll to read Decrypt — Fed Chair Warsh Calls AI a 'Hinge Point in History'—4 Key Things He Said…
Paid $0.002 to Decrypt — Fed Chair Warsh Calls AI a 'Hinge Point in History'—4 Key Things He Said (settled d9c05566-f…) — S2
Sub-claim "What are the key findings reported in "Mapping the AI econom…": 0% covered
The question asks for the key findings reported in a specific work titled "Mapping the AI economy." Neither supplied source is that work or reports its findings. S1 is an abstract about St. Louis AI infrastructure investment, and S2 is an abstract about a Fed Chair speech on AI and the economy. Both are topically related to the AI economy but do not present findings from "Mapping the AI economy." Therefore the requested sub-claim is not answered by the gathered passages. The assessment does not establish a complete supported answer for every requested part.
Paying $0.002 toll to read Cointelegraph.com News — Crypto’s biggest week ever? Swarm fears prompt AI slowdown: Hodler’s Digest…
Paid $0.002 to Cointelegraph.com News — Crypto’s biggest week ever? Swarm fears prompt AI slowdown: Hodler’s Digest (settled aa3ede26-b…) — S3
Sub-claim "What are the key findings reported in "Mapping the AI econom…": 0% covered
None of the supplied passages report the key findings of a work titled "Mapping the AI economy." S1 mentions St. Louis's role in the AI economy but is a different article and gives no findings from the named work. S2 is about a Fed Chair speech and only promises takeaways without stating them. S3 concerns crypto and AI swarm fears, unrelated to the named work. Thus the requested key findings are not covered. The assessment does not establish a complete supported answer for every requested part.
Sub-claim "What are the key findings reported in "Mapping the AI econom…": 10% covered — None of the gathered passages (S1, S2, S3) come from or report findings of the Stripe article "Mapping the AI economy." S1 is about St. Louis data-center investment, S2 about a Fed Chair speech, S3 about crypto/AI stock fears. The only content tied to the target article is the skipped source preview, which merely states the topic (rapid global expansion, unprecedented growth, Stripe data analysis) without listing any key findings. This is topical context, not an answer.
Coverage of the sole sub-claim is 0.1, well below 0.5, and the skipped source "Stripe Blog — Mapping the AI economy" (price 0.002) is the exact article in question and fits the remaining budget of 0.009. No other skipped source addresses this article's findings, so only this one is recommended.
Filling gap — buying Stripe Blog — Mapping the AI economy ($0.002)…
Paid $0.002 to Stripe Blog — Mapping the AI economy (settled 9cd11baf-c…) — S4
Final check — "What are the key findings reported in "Mapping the AI econom…": 40% assessed by S4
Final coverage assessment — The only source directly tied to the article "Mapping the AI economy" is S4 (Stripe Blog). Its abstract states that AI companies are expanding globally and achieving unprecedented growth, and that Stripe analyzed its data to understand where global demand is strongest and how companies can build to capture that demand. This gives a high-level summary of the article's focus, but it does not report specific key findings (e.g., actual demand patterns, growth figures, or concrete conclusions). S1–S3 are unrelated articles and do not address the requested article's findings. Therefore the sub-claim is only partially covered: the abstract provides the article's scope and general conclusion, but the specific key findings requested are still missing. The assessment does not establish a complete supported answer for every requested part.
Synthesizing a grounded answer from 4 source(s)…
Relevance review returned; only checked excerpts can retain support, and review cannot raise it.
Verified — S4 supports claim 1 at 80%: “AI companies are undergoing rapid global expansion while achieving unprecedented rates of growth.”
Verified — S4 supports claim 1 at 40%: “We analyzed Stripe data to understand where global demand is the strongest, and how companies can build to best capture that demand.”
Below reward gate — S1 supports claim 1 at 10%: “Louis is positioning itself as a key player in the AI economy with a $25 billion investment in data centers.”
Below reward gate — S2 supports claim 1 at 10%: “Fed Chair Warsh devoted a full section of his speech today at Jackson Hole to AI's weight on the economy.”
Below reward gate — S3 supports claim 1 at 10%: “AI swarm fears prompt development slowdown, with some predicting big falls in AI stock prices.”
Rejected 0 invalid evidence span(s) and 3 unsupported citation marker(s); rejected markers cannot receive citation rewards.
Drafted answer citing 1 source(s)
Confidence: Low — the final assessment does not establish a complete supported answer for every requested part.
Stripe Blog contributed 100% → reward $0.015
Settled $0.015 citation reward → Stripe Blog (392db591-2…)
Done. Spent $0.023 across 5 confirmed/simulated payment(s) to creators.
> ⚠ Low confidence — the final assessment does not establish a complete supported answer for every requested part within budget. Treat this as provisional.
The provided source for "Mapping the AI economy" is only an abstract, so it does not report specific findings. It states that AI companies are undergoing rapid global expansion while achieving unprecedented rates of growth, and that Stripe analyzed its data to understand where global demand is strongest and how companies can build to capture that demand . No concrete findings, figures, or conclusions from the analysis are included in the supplied passage, so the key findings themselves remain a gap. The other sources do not address this article's findings: one notes St. Louis positioning itself in the AI economy with a $25 billion data-center investment, another says Fed Chair Warsh devoted a speech section to AI's weight on the economy, and a third mentions AI swarm fears prompting a development slowdown and predictions of AI stock-price falls.
Evidence ledger — quotes verified before rewards
What are the key findings reported in "Mapping the AI economy"?
40%“AI companies are undergoing rapid global expansion while achieving unprecedented rates of growth.” [S4] Mapping the AI economy
“We analyzed Stripe data to understand where global demand is the strongest, and how companies can build to best capture that demand.” [S4] Mapping the AI economy
Footnotes — each one pays its author
- 4Mapping the AI economyStripe Blog · 2026-08-11100%+$0.015
Portable research receipt
Take the evidence trail with you
One deterministic JSON bundle binds the answer, visible decisions, exact article versions, claim evidence and a Circle-settlement snapshot under SHA-256. Retain the digest to detect later changes; the self-check is not a publisher or Keryx signature.
Exact receipt still current
1 exact cited article version still match Keryx's current index. The source cited here has published nothing new since this dispatch settled.
Carries this dispatch’s question as context — never its answer. The next dispatch is read from sources bought for it.