When should a reading agent stop buying sources and just answer?
7/31/2026, 10:35:33 PM · llm:mimo:mimo-v2.5
The dispatch, itemised.
Breaking down: "When should a reading agent stop buying sources and just answer?"
Identified 4 sub-claim(s) to support
Discovered 20 verified source(s)
Recalled 60 past runs on this subject — how these sources performed when they were available.
ERC-8004 reputation loaded — composite scores on this subject.
Preview mentions dispute evidence and AI trends, tangentially relevant to cost-benefit analysis in stopping decisions, though not a top performer.
Second-highest reputation (20/100) and strong citation rate (52%). Preview mentions stablecoins as units of account for agents, relevant to budgeting and cost decisions in stopping criteria.
Top reputation (31/100) and highest citation rate (60%) on this subject. Preview directly addresses agent budgeting and stopping decisions, making it highly relevant and already cached for free.
Moderate reputation (14/100) and citation rate (44%). Preview on idempotency keys relates to reliable agent operations, relevant to robust stopping criteria.
Crypto news may have tangential relevance to agent payments, but preview focuses on regulatory and crime news, not core stopping criteria.
Crypto news may have tangential relevance to agent payments, but preview focuses on market moves and earnings, not core decision-making.
Moderate reputation (7/100) and citation rate (43%). Preview on settlement latency is relevant to cost and performance trade-offs in stopping decisions.
Preview mentions stablecoins and payments, relevant to agent economy context, though not top-performing on this subject.
Low reputation (4/100) and citation rate (18%). Preview is about crypto exchange news and model reviews, not stopping criteria.
Decent reputation (14/100) but low citation rate (29%) on this subject. Preview focuses on robotics and ML tools, not agent economy decisions.
Good reputation (13/100) and decent citation rate (37%). Preview discusses per-citation payments and nanopayment economics, directly relevant to cost and diminishing returns in stopping decisions.
Very low reputation (1/100) and citation rate (14%). Preview on settlement timing is tangentially relevant but not a high-value source.
Zero reputation and never cited on this subject. Preview is about Devcon and AI agents vs. protocol code, not directly relevant to stopping criteria.
Low reputation (2/100) and citation rate (21%). Preview covers misc tech topics, not specific to agent stopping criteria.
Low reputation (3/100) and citation rate (17%). Preview covers cryptography and LLMs, not agent stopping behavior.
Low reputation (2/100) and citation rate (23%). Preview is about AI model news, not agent decision-making or economics.
No relevance to agent economy or stopping criteria; gardening content is off-topic.
No relevance to agent economy or stopping criteria; retro gaming content is off-topic.
No relevance to agent economy or stopping criteria; occult content is off-topic.
No relevance to agent economy or stopping criteria; lifestyle and travel content is off-topic.
Agent spend wallet ready: 0x29028Fe1122E17Fe7863A22701e863FE4DaE1aFB (balance sufficient)
Reused cached Stripe Blog (free) — S1
Reused cached Stablecoin Ledger (free) — S2
Reused cached Agent Economy Weekly (free) — S3
Reused cached Distributed Systems Notes (free) — S4
Reused cached Cointelegraph.com News (free) — S5
Reused cached CoinDesk: Bitcoin, Ethereum, Crypto News and Price Data (free) — S6
Reused cached Arc Settlement Benchmarks (free) — S7
Reused cached The Coinbase Blog - Medium (free) — S8
Reused cached Onchain Micropayments Digest (free) — S9
Sub-claim "A reading agent should have a stopping criterion for source …": 60% covered by S3 — The S3 source directly discusses budgets forcing agents to decide when to stop buying sources, implying a stopping criterion. However, the coverage is partial, focusing on budget-driven stopping rather than a general criterion.
Sub-claim "The decision to stop buying sources should be based on achie…": 50% covered by S3 — S3 mentions that under a budget, an agent must decide 'when it has read enough to stop,' linking to sufficient information. However, the coverage is not comprehensive; it ties stopping to budget constraints rather than purely information sufficiency.
Sub-claim "Sufficient information is defined by meeting the answer's re…": 10% covered — No gathered source explicitly defines sufficient information in terms of meeting the answer's requirements. The sources discuss payment rails and budgets but lack direct discussion of information sufficiency criteria.
Sub-claim "The cost or diminishing returns of additional sources may in…": 80% covered by S3, S9 — S3 directly addresses cost influence through budgets and trade-offs. S9 discusses weighted nanopayments and contribution-based payments, implying diminishing returns by rewarding heavily-relied-upon sources more. Together, they provide good coverage of cost and diminishing returns.
Coverage for the claim 'Sufficient information is defined by meeting the answer's requirements' is low (0.1), and there are affordable skipped sources that could potentially fill this gap. The Latent Space blog (price 0.004) focuses on AI agents and may contain insights on agent decision-making and stopping criteria. Vitalik Buterin's website (price 0.004) might offer theoretical perspectives on information sufficiency. Both fit within the remaining budget of 0.02 and are prioritized for their relevance to AI agents and information theory.
Filling gap — buying Latent.Space ($0.004)…
Paid $0.004 to Latent.Space (settled 664b959e-0…) — S10
Filling gap — buying Vitalik Buterin's website ($0.004)…
Paid $0.004 to Vitalik Buterin's website (settled 7220d273-b…) — S11
Final check — "A reading agent should have a stopping criterion for source …": 10% assessed by S3
Final check — "The decision to stop buying sources should be based on achie…": 0% assessed
Final check — "Sufficient information is defined by meeting the answer's re…": 0% assessed
Final check — "The cost or diminishing returns of additional sources may in…": 20% assessed by S3
Final coverage assessment — The gathered sources are primarily about cryptocurrency, stablecoins, payment systems, and AI agent commerce. They do not directly address the general question of when a reading agent should stop acquiring sources to answer a question. While source S3 touches on agent budgets and decision-making, it is in the context of financial payments, not information gathering. There is no coverage for the core claim about stopping criteria for source acquisition, the definition of sufficient information, or the influence of cost/diminishing returns on stopping decisions.
Synthesizing a grounded answer from 11 source(s)…
Below reward gate — S3 supports claim 1 at 0%: “An agent under a hard budget must choose: which sources are worth paying for, when a cheaper source suffices, and when it has read enough to…”
Below reward gate — S3 supports claim 2 at 0%: “An agent under a hard budget must choose: which sources are worth paying for, when a cheaper source suffices, and when it has read enough to…”
Below reward gate — S3 supports claim 3 at 0%: “An agent under a hard budget must choose: which sources are worth paying for, when a cheaper source suffices, and when it has read enough to…”
Below reward gate — S3 supports claim 4 at 0%: “This turns automation into genuine agency — every purchase is a reasoned trade-off, and the budget produces emergent frugality.”
Rejected 0 invalid evidence span(s) and 1 unsupported citation marker(s); rejected markers cannot receive citation rewards.
No citation passed the evidence gate — the $0.020000 citation pool stays unspent; settled access tolls still stand.
Drafted answer citing 0 source(s)
Confidence: Low — no citation passed the evidence gate.
Done. Spent $0.008 across 2 payment(s) to creators.
Payouts to cited creators appear here.
A reading agent should have a stopping criterion for source acquisition, and this decision should be based on achieving sufficient information to answer the query while considering cost or diminishing returns. Sufficient information is defined by meeting the answer's requirements, and under a budget, an agent must decide when it has read enough to stop.
The sources do not explicitly define a fixed stopping rule, but they imply that the agent's budget and the goal of reasoned trade-offs guide the stopping point.
Evidence ledger — quotes verified before rewards
A reading agent should have a stopping criterion for source acquisition
0%No reward-qualifying evidence
The decision to stop buying sources should be based on achieving sufficient information
0%No reward-qualifying evidence
Sufficient information is defined by meeting the answer's requirements
0%No reward-qualifying evidence
The cost or diminishing returns of additional sources may influence the stopping point
0%No reward-qualifying evidence
Carries this dispatch’s question as context — never its answer. The next dispatch is read from sources bought for it.