Archived dispatch

If I were building a paid research agent, how would an agent deciding when to stop buying sources affect a design decision?

Lowconfidence— Only source excerpts are delivered; complete synthesis and per-assertion support remain unverified. Evidence assessment: 4 sub-claims remain below the evidence threshold

· llm:deepseek:deepseek-v4-pro

§ IIThe reading1 cited
Lowconfidence— Only source excerpts are delivered; complete synthesis and per-assertion support remain unverified. Evidence assessment: 4 sub-claims remain below the evidence thresholddeep researchpreview plan 4/4 claimsportfolio 3/13 · evidence 0%

> ⚠ Low confidence — Only source excerpts are delivered; complete synthesis and per-assertion support remain unverified. Evidence assessment: 4 sub-claims remain below the evidence threshold. Treat this as provisional.

Source excerpts only. The draft is withheld as a conclusion; complete synthesis is unverified. Qualifying source excerpts are quoted below. Research targets are topics to investigate, not established conclusions.

Research target 1

Requested topic (unverified): “How does an agent deciding when to stop buying sources affect a design decision in a paid research agent?”

  • “The independent Keryx buyer client separates quoting, buying and recovering a research job.”

Evidence gap: the recorded assessment remains below the support threshold for this target.

Research target 2

Requested topic (unverified): “What are the relevant design decisions in a paid research agent that could be affected by the stopping rule?”

  • “The buyer provides a trusted Keryx treasury payee and an all-in price ceiling.”

Evidence gap: the recorded assessment remains below the support threshold for this target.

Research target 3

Requested topic (unverified): “What are the possible stopping rules for buying sources in a paid research agent?”

  • “The buyer provides a trusted Keryx treasury payee and an all-in price ceiling.”

Evidence gap: the recorded assessment remains below the support threshold for this target.

Research target 4

Requested topic (unverified): “How do different stopping rules affect the trade-offs in the design decision?”

Evidence gap: no qualifying excerpt for this research target.

Excerpts establish source grounding, not factual truth, entailment or whole-paper coverage. Support and coverage are estimates, not certification of a complete answer. Source statements may be wrong or conflicting. Draft conclusions are withheld; inspect the original text and obtain further review. Payment states remain in the separate receipt.

Next steps to complete this research

These are suggested follow-up steps; this run has not performed them. They do not change the recorded evidence or payment state.

  • “AI Agents Can Pay to Read the Web Now. Who Stops the Meter?”: Original text was unavailable. Check the publisher URL and provide an accessible original of the same document; this failure does not establish that the document does not exist.

Evidence ledger — recorded source excerpts

Research targets are unverified topics. Coverage is an estimate of excerpt support, not proof of entailment, factual truth or a complete answer.

  1. Requested topic (unverified): “How does an agent deciding when to stop buying sources affect a design decision in a paid research agent?”

    10% estimated
    “The independent Keryx buyer client separates quoting, buying and recovering a research job.” [S3] Recovering a Keryx paid research job
  2. Requested topic (unverified): “What are the relevant design decisions in a paid research agent that could be affected by the stopping rule?”

    10% estimated
    “The buyer provides a trusted Keryx treasury payee and an all-in price ceiling.” [S3] Recovering a Keryx paid research job
  3. Requested topic (unverified): “What are the possible stopping rules for buying sources in a paid research agent?”

    10% estimated
    “The buyer provides a trusted Keryx treasury payee and an all-in price ceiling.” [S3] Recovering a Keryx paid research job
  4. Requested topic (unverified): “How do different stopping rules affect the trade-offs in the design decision?”

    0% estimated

    No qualifying excerpt recorded

What if a source were missing?

Temporarily leave out one source to see which research targets retain excerpts in this report.

Showing the original excerpt ledger. 1 target already had no inspectable excerpts.

  1. How does an agent deciding when to stop buying sources affect a design decision in a paid research agent?

    1 recorded excerpt remain.

    Inspect remaining excerpts

    “The independent Keryx buyer client separates quoting, buying and recovering a research job.”

    S3 · Keryx Engineering (first-party) · Recovering a Keryx paid research job · version sha256:1763a291526f1ffa3c05f2b3a595be71be7607c76a91d866f1a9c9170ae9882e

  2. What are the relevant design decisions in a paid research agent that could be affected by the stopping rule?

    1 recorded excerpt remain.

    Inspect remaining excerpts

    “The buyer provides a trusted Keryx treasury payee and an all-in price ceiling.”

    S3 · Keryx Engineering (first-party) · Recovering a Keryx paid research job · version sha256:1763a291526f1ffa3c05f2b3a595be71be7607c76a91d866f1a9c9170ae9882e

  3. What are the possible stopping rules for buying sources in a paid research agent?

    1 recorded excerpt remain.

    Inspect remaining excerpts

    “The buyer provides a trusted Keryx treasury payee and an all-in price ceiling.”

    S3 · Keryx Engineering (first-party) · Recovering a Keryx paid research job · version sha256:1763a291526f1ffa3c05f2b3a595be71be7607c76a91d866f1a9c9170ae9882e

  4. How do different stopping rules affect the trade-offs in the design decision?

    No inspectable excerpts in the original report.

Targets are requested topics, not verified assertions. Excerpts do not prove truth or independent corroboration. This view keeps the answer, confidence and payments unchanged and makes no new requests.

Research evidence matrix

Compare unverified research targets with cited sources and inspect recorded excerpts. An empty cell means no inspectable excerpt was recorded; it does not establish whether a claim is true, false, or disputed. Coverage and agent confidence do not prove entailment, measured accuracy or complete synthesis.

Research target by cited source evidence matrix
Research target (unverified)Inspection status[S3] Recovering a Keryx paid research jobPublication: Keryx Engineering (first-party)Published: 2026-09-08T00:00:00.000Z
How does an agent deciding when to stop buying sources affect a design decision in a paid research agent?Recorded excerpt
Inspect 1 excerpt
The independent Keryx buyer client separates quoting, buying and recovering a research job.
What are the relevant design decisions in a paid research agent that could be affected by the stopping rule?Recorded excerpt
Inspect 1 excerpt
The buyer provides a trusted Keryx treasury payee and an all-in price ceiling.
What are the possible stopping rules for buying sources in a paid research agent?Recorded excerpt
Inspect 1 excerpt
The buyer provides a trusted Keryx treasury payee and an all-in price ceiling.
How do different stopping rules affect the trade-offs in the design decision?No inspectable excerpt recordedNo excerpt recorded

Reference export

1 article references. Recorded titles, links and dates; observed scholarly records also include supplied authors, DOI and journal metadata with read limits. Review metadata before using in a paper. Import RIS into Zotero with File → Import.

Cited sources and references

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Spent$0.025
To creators100%
Decisions0 bought · 3 cached · 53 skipped
llm:deepseek:deepseek-v4-prolive on Arc mainnet
Decision log · 91 steps
§ IThe decision$0.025 settled / $0.05
50%$0.025 under cap
Decompose

Breaking down: "If I were building a paid research agent, how would an agent deciding when to stop buying sources affect a design decision?"

Decompose

Identified 4 research target(s) to investigate; these are not established facts

Decompose

Deep mode: up to 4 paid/cached/public reads plus one bounded gap-expansion pass when needed.

Discover

Web search: 5/5 planned queries attempted, 3 succeeded, 24 public page previews/leads, 2 unavailable queries. Previews and supplied URLs are discovery only. Public reads spend no USDC; model and service operating costs remain separate.

Discover

Discovered 2 verified creator source(s) and 54 free public reference(s)

Pre-check

Claim-aware portfolio (exhaustive; bounded selection, not a claim of global optimality) selected 3/13 positive proposal(s): 3 free/cache selections + 0 paid fresh selections, predicting 4/4 claim(s) above the evidence floor with $0.000000/$0.025000 fetch USDC reserved.

Pre-check

Free-preview pre-check maps an actionable source to every sub-claim (4/4); paid reading may proceed within the budget.

DecideCACHE
AI Agents Can Pay to Read the Web Now. Who Stops the Meter?$0 · EV 90%

Directly discusses stopping rules for paid research agents and design implications. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — selected for the claim-aware evidence portfolio (targets claims 1, 2, 3, 4; 0 fetch USDC, 1 attention slot).

DecideCACHE
Keryx owner release notes — first-party validation — Keryx v0.27.23$0.005 · EV 70%

Cached first-party release notes mention 'complete-source sufficiency and additive supplier epochs' and 'newest-source eligibility before paid reads', directly relevant to stopping rules and design decisions in paid research agents. — selected for the claim-aware evidence portfolio (targets claims 1, 2, 3, 4; 0 fetch USDC, 1 attention slot).

DecideCACHE
Lilian Weng - LLM Powered Autonomous Agents$0 · EV 70%

LLM-powered autonomous agents article likely covers agent planning, tool use, and decision-making, which may include stopping criteria and design trade-offs. - free public feed reference; no purchase or creator reward. — selected for the claim-aware evidence portfolio (targets claims 1, 2, 3, 4; 0 fetch USDC, 1 attention slot).

DecideSKIP
arXiv - Fair Moderation, Equitable Access, and AI: arXiv’s Updated Rate Limit Policy$0 · EV 0%

Article is about arXiv rate limit policy and AI, unrelated to paid research agent stopping rules or design decisions. - free public feed reference; no purchase or creator reward.

DecideSKIP
Bank for International Settlements - Core Principles for Effective Deposit Insurance Systems – Executive Summary$0 · EV 0%

Deposit insurance systems have no connection to agent stopping rules or design decisions. - free public feed reference; no purchase or creator reward.

DecideSKIP
Chip Huyen - Building A Generative AI Platform$0 · EV 60%

Discusses generative AI platform components, potentially including agent orchestration and evaluation, which may touch on stopping rules and design trade-offs. - free public feed reference; no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.

DecideSKIP
Cloudflare Workers - How we rebuilt Cloudflare Workers’ module registry for Node.js compatibility$0 · EV 0%

Cloudflare Workers module registry is infrastructure-specific and unrelated to paid research agent stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
Creative Commons - From Reflection to Action: 8 Hot Takes from CC’s Open Heritage Roundtable$0 · EV 0%

Open heritage roundtable content is irrelevant to agent stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
Google DeepMind - Advancing Private AI Compute with secure, server-side memory$0 · EV 0%

Private AI compute memory is unrelated to paid research agent design decisions. - free public feed reference; no purchase or creator reward.

DecideSKIP
Directory of Open Access Journals - Paradise Lost, Knowledge Regained: Jan Erik Frantsvåg on reclaiming open access (Part 1)$0 · EV 0%

Open access publishing advocacy has no bearing on agent stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
Docker - Docker and CNCF partner on an open spec for agent permissions$0 · EV 0%

Agent permissions spec is about security, not stopping rules or design decisions. - free public feed reference; no purchase or creator reward.

DecideSKIP
DuckDB - Agent Mode in the DuckDB CLI$0 · EV 50%

Agent mode in DuckDB CLI may discuss agent decision-making and stopping conditions, though focus is on SQL query answering. - free public feed reference; no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.

DecideSKIP
Eugene Yan - Patterns for Building Cybersecurity Evals$0 · EV 0%

Cybersecurity evals are unrelated to paid research agent stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
The Go Blog - Arch-specific SIMD in Go$0 · EV 0%

Go SIMD API is a programming language feature, irrelevant to agent design decisions. - free public feed reference; no purchase or creator reward.

DecideSKIP
Google Research - Toward provably private learning from federated data$0 · EV 0%

Federated learning privacy is unrelated to paid research agent stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
Microsoft Research - One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact$0 · EV 0%

Microsoft Research Asia Singapore lab update is organizational news, not relevant to agent stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
Netlify - Compete in OpenAI’s WebMCP Challenge with Netlify$0 · EV 0%

WebMCP challenge is about web app development, unrelated to paid research agent stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
Ollama - Ollama now supports Jev-style decision models$0 · EV 50%

Jev-style decision models may relate to agent decision-making and stopping conditions, though focus is on local model support. - free public feed reference; no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.

DecideSKIP
OpenAI Developers - OpenAI Developers plugin$0 · EV 0%

OpenAI Developers plugin is about API setup, not agent stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
OpenAlex - Linking the world’s research to the code it runs on$0 · EV 0%

Linking research to code is about scholarly data, unrelated to agent design decisions. - free public feed reference; no purchase or creator reward.

DecideSKIP
PostgreSQL - Dasha 1.8: index recommendations, I/O analysis, schema checks and log insights$0 · EV 0%

PostgreSQL performance dashboard is irrelevant to paid research agent stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
PyTorch - Building Spyre as a Native PyTorch Device$0 · EV 0%

PyTorch device integration is unrelated to agent stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
Rust Blog - Announcing Rust 1.99.0$0 · EV 0%

Rust release announcement is irrelevant to paid research agent design decisions. - free public feed reference; no purchase or creator reward.

DecideSKIP
Sebastian Raschka - MiMo-V2.6 Pro Architecture and Training Notes$0 · EV 0%

MiMo architecture notes are about model training, not agent stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
Spotify Engineering - Portal by Spotify cut my Claude Code token usage by 90%$0 · EV 0%

Token usage reduction for coding agents is not about paid research agent stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
Stripe Blog - OUSD is now the default stablecoin on Stripe$0 · EV 0%

Stablecoin on Stripe is unrelated to agent design decisions. - free public feed reference; no purchase or creator reward.

DecideSKIP
Supabase - Build anything: Supabase from code, and an MCP server for your app$0 · EV 0%

Supabase backend and MCP server are not relevant to stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
Tailscale - Your agent, your network: How Meta’s Muse agent works with Tailscale$0 · EV 0%

Meta Muse agent networking is about access control, not stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
Vicki Boykis - NASA Elements of Engineering Excellence$0 · EV 0%

NASA engineering excellence report is unrelated to paid research agent stopping rules. - free public feed reference; no purchase or creator reward.

DecideSKIP
vLLM - Announcing vllm-metal: Concurrent Serving on Apple Silicon$0 · EV 0%

vLLM serving announcement is irrelevant to paid research agent stopping rules or design decisions. - free public feed reference; no purchase or creator reward.

DecideSKIP
Wikimedia Diff - Inaugural Wikimedia Kimaragang Online Meetup: Strengthening Community, Empowering Digital Knowledge$0 · EV 0%

Wikimedia community meetup is unrelated to paid research agent design. - free public feed reference; no purchase or creator reward.

DecideSKIP
x402 - Linux Foundation Announces Operational Launch of x402 Foundation to Standardize Internet-Native Payments for AI Agents and Applications$0 · EV 0%

x402 payment protocol launch is not about stopping rules or design trade-offs. - free public feed reference; no purchase or creator reward.

DecideSKIP
Frontier Risk Report (February to March 2026) - METR$0 · EV 0%

METR frontier risk report focuses on autonomous agent behavior, not stopping rules for paid research. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
An experimental evaluation of a stopping rule aimed at ... - PMC$0 · EV 70%

Experimental evaluation of stopping rules, relevant to possible stopping rules and trade-offs. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.

DecideSKIP
AI Agents in HR: What They Can and Cannot Do in 2026 | MiHCM$0 · EV 0%

HR AI agents article is not about paid research agent stopping rules. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
An AI agent spent your money – can anyone prove you authorized it?$0 · EV 60%

Discusses authorization limits for AI agent spending, relevant to design decisions and stopping rules. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.

DecideSKIP
Contextual influences on trade-offs in engineering design: a qualitative study | Design Science | Cambridge Core$0 · EV 0%

Engineering design trade-offs study is not specific to paid research agents. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
International AI Safety Report 2026 | International AI Safety Report$0 · EV 0%

AI safety report is broad and not focused on stopping rules for paid research. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
Your Research Agent Shouldn't Be Waiting On Hand-Offs$0 · EV 70%

Discusses research agent hand-offs and access to paywalled papers, relevant to stopping decisions. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.

DecideSKIP
How to make smarter design tradeoffs$0 · EV 0%

General design trade-offs, not about paid research agents. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
The era of experimental AI Agents ends in 2026$0 · EV 0%

LinkedIn post about AI agent ROI, not stopping rules. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
Paying Research Participants: Regulatory Uncertainty, Conceptual Confusion, and a Path Forward$0 · EV 0%

Paying research participants is unrelated to paid research agent stopping rules. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
3 Simple Rules to Make Tough Tradeoffs Easier and See Better Results$0 · EV 0%

General trade-off rules, not specific to paid research agents. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
What Are The Key Trends Shaping Clinical Trial Design in 2026?$0 · EV 0%

Clinical trial design trends are irrelevant. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
Agents Rule of Two: A Practical Approach to AI Agent Security$0 · EV 0%

AI agent security rule of two is not about stopping rules. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
Tradeoffs In Design - Sumit Narang - Medium$0 · EV 0%

General design trade-offs, not specific to paid research agents. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
The AI Agent Governance Gap: What CISOs Need Now – Lab Space$0 · EV 0%

AI agent governance gap is not about stopping rules. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
Deep-Research Agents Can Be Poisonedvia User-Generated Content$0 · EV 0%

Deep-research agent poisoning is not about stopping rules. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
What are trade-offs in decision-making? Definition & examples$0 · EV 0%

General trade-off definition, not specific to paid research agents. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
How to Deploy AI Marketing Agents: 2026 Guide | CDP.com$0 · EV 0%

Focuses on deploying AI marketing agents, not on stopping rules or design decisions in paid research agents. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
9 AI Agents for Research and Analysis | MindStudio$0 · EV 65%

Discusses AI research agents including budget considerations, which may inform design decisions and stopping rules. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.

DecideSKIP
Design Tradeoffs | NN/G Live Online Course - NN/G$0 · EV 0%

General UX design tradeoffs course, not specific to paid research agents or stopping rules. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
Agentic AI, explained | MIT Sloan$0 · EV 60%

Explains agentic AI concepts; may include decision-making and stopping conditions relevant to agent design. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.

DecideSKIP
AI bots are flooding researchers with requests for money and time | Nature$0 · EV 55%

Discusses AI agents requesting money and time, potentially touching on resource allocation and stopping decisions in agent systems. - free public original-page READ selection (not a cache hit); no purchase or creator reward. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.

DecideSKIP
Tradeoff Analysis - an overview | ScienceDirect Topics$0 · EV 0%

Generic tradeoff analysis in computer science, not specific to paid research agents or stopping rules. - free public original-page READ selection (not a cache hit); no purchase or creator reward.

DecideSKIP
Keryx Engineering (first-party) — Recovering a Keryx paid research job$0.002 · EV 60%

Cached first-party engineering doc about recovering a paid research job; may discuss purchase decisions and stopping conditions. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.025000 fetch-budget caps, so this proposal stays unspent.

Fetch

Agent spend wallet ready: 0x9e88d16c3ecb07b9e84df13ef38dd6b673bd285c (balance sufficient)

Fetch

READ AI Agents Can Pay to Read the Web Now. Who Stops the Meter? - selected original public page, 0 USDC; not a cache hit.

Fetch

Public page unavailable (transport-unavailable); no evidence admitted. Continuing research.

Fetch

Reused cached Keryx owner release notes — first-party validation — Keryx v0.27.23 (free) — S1

Fetch

Read Lilian Weng - LLM Powered Autonomous Agents - free public feed reference, no creator payment - S2

Re-evaluate

Sub-claim "How does an agent deciding when to stop buying sources affec…": 10% covered by S1 — S1 mentions 'plan newest-source eligibility before paid reads' and 'complete-source sufficiency and additive supplier epochs', which hints at a stopping rule but does not explain how it affects a design decision. S2 is about general LLM agent components and does not address paid source buying. No source directly answers the causal relationship.

Re-evaluate

Sub-claim "What are the relevant design decisions in a paid research ag…": 0% covered — No gathered passage identifies specific design decisions (e.g., budget allocation, source selection, query planning) affected by a stopping rule. S1 only lists release notes without elaboration.

Re-evaluate

Sub-claim "What are the possible stopping rules for buying sources in a…": 10% covered by S1 — S1's phrase 'complete-source sufficiency and additive supplier epochs' suggests a rule based on source completeness and supplier epochs, but no explicit stopping rules are described. Other sources are irrelevant.

Re-evaluate

Sub-claim "How do different stopping rules affect the trade-offs in the…": 0% covered — No gathered passage discusses trade-offs between stopping rules or their impact on design decisions.

Re-evaluate

All sub-claims have coverage below 0.5. The skipped source 'Keryx Engineering (first-party) — Recovering a Keryx paid research job' (price 0.002) is directly about a paid research agent and may contain details on stopping rules and design decisions. Its price fits within the remaining budget of 0.025. Other skipped sources are free but appear unrelated to paid research agent stopping rules.

Re-evaluate

Filling gap — reused cached Keryx Engineering (first-party) — Recovering a Keryx paid research job (free) — S3

Sufficiency

Final check — "How does an agent deciding when to stop buying sources affec…": 10% assessed by S1

Sufficiency

Final check — "What are the relevant design decisions in a paid research ag…": 10% assessed by S1

Sufficiency

Final check — "What are the possible stopping rules for buying sources in a…": 10% assessed by S1, S3

Sufficiency

Final check — "How do different stopping rules affect the trade-offs in the…": 0% assessed

Sufficiency

Final coverage assessment — The question asks how an agent deciding when to stop buying sources affects a design decision in a paid research agent. The gathered sources are limited: S1 is a release note mentioning 'plan newest-source eligibility before paid reads' and 'complete-source sufficiency', S2 is a general overview of LLM agents without paid source buying, and S3 is an excerpt about recovering a paid research job, focusing on buyer client mechanics but not on stopping rules or design decisions. None of the sources directly address the stopping rule for buying sources or its effect on design decisions. S1 hints at a design consideration (newest-source eligibility before paid reads) but does not explain the stopping rule or trade-offs. S3 mentions an all-in price ceiling and job matching, but not the decision of when to stop buying. Therefore, coverage is low for all sub-claims. The assessment does not establish a complete supported answer for every requested part.

Synthesize

Synthesizing a grounded answer from 3 source(s)…

Evidence

Relevance review returned; only checked excerpts can retain support, and review cannot raise it.

Evidence

Delivering qualified source excerpts; complete synthesis and per-assertion support remain unverified.

Evidence

Source-matched reward-eligible excerpt — S3, research target 1, proposed support 40% (estimate, not entailment): “The independent Keryx buyer client separates quoting, buying and recovering a research job.”

Evidence

Source-matched reward-eligible excerpt — S3, research target 2, proposed support 60% (estimate, not entailment): “The buyer provides a trusted Keryx treasury payee and an all-in price ceiling.”

Evidence

Source-matched reward-eligible excerpt — S3, research target 3, proposed support 40% (estimate, not entailment): “The buyer provides a trusted Keryx treasury payee and an all-in price ceiling.”

Evidence

Below support/reward gate — S3, research target 4, proposed support 30% (estimate, not entailment): “The all-in ceiling includes both the service fee and creator budget.”

Synthesize

Prepared source excerpts citing 1 source(s); complete synthesis is unverified

Verdict

Confidence: Low — Only source excerpts are delivered; complete synthesis and per-assertion support remain unverified. Evidence assessment: 4 sub-claims remain below the evidence threshold.

Attribute

Keryx Engineering (first-party) contributed 100% - reward $0.025

Settle

Settled $0.025 citation reward → 0x3d609eF127094624cC434aAd5A9fAcA0851dAa2D (ea55dad6-e…)

Done

Done. Spent $0.025 across 1 confirmed/simulated payment(s) to creators.

Sign in with the original report owner to review its decisions.

Read checkpoints

Read checkpoint evidence is unavailable for this report. Historical, private and unsupported native runs are not reconstructed.

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.

Manage question privacy

Recorded purchase outcomes

Did the exact article versions bought for this answer appear in its citations? This view scores retained BUY decisions against payment observations recorded in the same dispatch trace.

Recorded settlement bookkeeping only; Circle and chain settlement have not been independently rechecked here.

This is a partial retained trace sample, not a full payment ledger. An absent matching payment does not prove that no payment occurred; excluded and unconfirmed costs remain unknown.

Recorded network
eip155:5042
Dispatch recorded at
2026-10-12T18:41:38.048Z

Participant cohort: unknown. No outside-customer usage is inferred.

0 scored exact-version purchases from 0 recorded BUY decisions; 0 BUY decisions unscored. 1 of 1 trace payment observations excluded.

Each unique source + item + content version with positive matching recorded settled access counts once. Duplicate BUYs, missing identities, zero/unconfirmed access and incompatible payment observations cannot create a scored purchase. CACHE and SKIP decisions are outside this sample.

Exact-version citation hit rate
Unmeasured

No scored purchases; the hit rate is unmeasured.

Recorded access cost of uncited purchases
Unmeasured

Counts only scored purchases. Descriptive access cost, not causal regret or proof that the purchase was useless.

Predicted value and observed citations

Bins compare the recorded predicted value with citation occurrence in this one dispatch. Small samples do not validate a probability model.

Value bandPurchasesPredicted mean (0–1)Citation rate
0–0.20UnmeasuredUnmeasured
0.2–0.40UnmeasuredUnmeasured
0.4–0.60UnmeasuredUnmeasured
0.6–0.80UnmeasuredUnmeasured
0.8–10UnmeasuredUnmeasured

Missed value, cost per supported claim, budget alternatives and counterfactual outcomes are unmeasured. No extra reading or learning was performed.

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.

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Carries this dispatch’s question as context — never its answer. The next dispatch is read from sources bought for it.

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