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FifthRow Answers

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FifthRow Answers

FifthRow Answers

FifthRow Answers turns any question into a sourced brief, then verifies the brief against the full text of every page it cites. It searches current evidence, grounds the response, and returns an inspectable result with sources, citations, and quality evaluation.

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from $140.00 / 1,000 results

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FifthRow

FifthRow

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FifthRow Answers: research briefs checked against their sources

FifthRow Answers turns any question into a sourced brief, then verifies the brief against the full text of every page it cites. You get inline citations, the list of sources read, and a hallucination score for the answer. Use it when a plausible answer is not enough and you need one you can defend.

A model can only be checked against a source it has actually read. So every run fetches and reads each cited page in full, then tests the answer against that text. That is why a run costs $0.14 and why the score means something.

How a run works

Fifthrow Answers Flow

  1. Question in. You send one strategic question, with optional domain allow and deny lists and date filters.
  2. Evidence search. FifthRow searches current sources that match your filters.
  3. Every source read in full. Each page that can support the answer is fetched and read, not judged from a search snippet.
  4. Answer with a citation on every claim. The brief is written with inline links to the pages behind each statement.
  5. Hallucination check. The answer is evaluated against the text that was actually read. Relevance and hallucination scores are returned with it.
  6. Output. A readable REPORT.md, structured JSON, and one dataset row.

What you get back

OutputWhereUse
REPORT.mdKey-value storeBrief to read and share
OUTPUT (JSON)Key-value storeid, status, query, answer, sources, cited_sources, evaluation
Dataset rowDatasetOne row per run: question, answer, status, sources

sources lists every page that was read. cited_sources lists the ones the answer relies on. The gap between the two shows what was checked and set aside.

Example: a real brief with sources and evaluation

Question

{
"query": "Competitors to The RealReal US luxury resale marketplaces list (Vestiaire Collective, Fashionphile, Rebag, StockX, Poshmark, Tradesy, TheRealReal competitors)"
}

Answer (unedited output)

The primary competitors to The RealReal in the U.S. and global luxury resale market include Vestiaire Collective, Fashionphile, Rebag, Tradesy, Poshmark, Grailed, Luxury Garage Sale, Chrono24, Sotheby's, and eBay The RealReal Strategy and Business Model - UmbrexThe RealReal Competitors: Complete List - Distill Intelligence.

Direct Luxury Resale Specialists

These platforms compete directly for authenticated pre-owned supply and luxury buyers, often specializing in handbags, watches, and accessories:

Category-Specific or Premium Substitutes

These platforms focus on specific luxury categories or high-value collectibles:

Broader Resale and Marketplace Substitutes

These platforms are broader, less curated, or social-driven but still serve as substitutes for apparel and accessory resale:

Key Market Context

The RealReal's closest competitive set is made up of platforms that compete for authenticated pre-owned supply, with traditional retailers acting as indirect competitors The RealReal Strategy and Business Model - Umbrex.

Sources read (7)

  1. https://umbrex.com/resources/company-profiles/the-realreal/ (cited)
  2. https://www.forbes.com/sites/pamdanziger/2022/10/07/battle-of-luxury-resale-business-models-the-realreal-vs-reflaunts-resale-as-a-service/ (cited)
  3. https://www.distillintelligence.com/competitors/the-realreal (cited)
  4. https://dataintelo.com/report/global-luxury-resale-market (cited)
  5. https://www.facebook.com/TheRealRealPage/posts/the-worlds-most-trusted-and-beloved-source-for-authenticated-luxury-resale/1447062914127677/ (read, not cited)
  6. https://circularfashionnews.substack.com/p/the-state-of-luxury-resale-how-new (read, not cited)
  7. https://www.tiktok.com/@therealreal/video/7622834758938053902 (read, not cited)

Evaluation

{
"evaluation": {
"relevance": 1,
"hallucination": 1,
"notes": "Quality: Good, well-structured list with useful category grouping and source links, but it lacks strategic depth and some up-to-date specifics. Improve by: 1) Adding quantitative comparators (revenue, GMV, active buyers/sellers, market share and geography) to show relative scale and threat level. 2) Including missing relevant players and services (e.g., Reflaunt, Farfetch's pre-owned offering, resale tech providers) and clearly distinguishing consignment vs buy-now vs peer-to-peer models. 3) Providing a short competitor-positioning matrix (business model, category focus, strengths/weaknesses) and a 2–3 line strategic implication (where The RealReal should prioritize defense or partnerships).\nRelevance: Direct, focused, and on-topic — lists the key competitors and groups them usefully. To improve relevance further: 1) Clarify whether the user wanted strictly US-only competitors (this answer mixes US and global players); 2) Add a few other relevant peers that some users expect (e.g., Farfetch pre-owned, Reflaunt, GOAT for certain luxury streetwear overlaps) and note acquisition dates where stated; 3) Update or timestamp market figures and market-share claims so the reader knows the data vintage.\nHallucination: No fabricated or unsupported specific factual claims detected — the named competitors and market facts in the response are supported by the provided Umbrex, Distill Intelligence, Dataintelo, and Forbes sources. Minor notes: the response repeats "Tradesy" twice (typo/redundancy) and mixes multiple sources for some items (e.g., Sotheby's is cited via Umbrex whereas Distill's excerpt omits it) — you may want to harmonize source attributions for clarity.\nPublication-date transparency for cited sources (01/01/2020 to 12/31/2026):\n- 4/4 cited sources are within the requested time window."
}
}

Who it is for

  • Analysts and consultants who need a first draft they can defend, with every claim one click from its source.
  • AI agents and workflows that need a checked answer as a tool call, with a score they can gate on.
  • Teams in regulated or high-stakes work where an unsourced answer cannot be used.

How it compares

SERP scraperRAG web browserFifthRow Answers
ReturnsSearch resultsPage textA written brief
Reads full pagesSometimesYesYes, every cited page
Citation on each claimNoNoYes
Checks the answer against sourcesNoNoYes, with a score
Best forLists of resultsFeeding your own LLMAnswers you must be able to prove

Input

FieldRequiredDescription
queryYesThe strategic question
search_domain_allowlistNoUp to 20 domains to search
search_domain_denylistNoUp to 20 domains to exclude
search_after_date_filterNoOnly sources after this date
search_before_date_filterNoOnly sources before this date

The FifthRow API key is configured on the Actor. You only provide the question and constraints.

Pricing

$0.14 per run. The price covers searching, fetching and reading every cited page in full, writing the cited brief, and running the hallucination check. Reading full pages is the costly step, and it is what makes the check possible.

RunsCost
10$1.40
100$14
1,000$140

Use it from an agent

Call it through the Apify API or the Apify MCP server.

FAQ

How is the answer checked? The answer is evaluated against the pages that were read. The evaluation object returns relevance and hallucination scores.

What is the difference between sources and cited_sources? sources are all pages read. cited_sources are the pages the answer relies on.

Can I limit where the evidence comes from? Yes. Use the allowlist for trusted domains, the denylist to exclude others, and the date filters to keep evidence current.

What if the evidence is thin? The brief says so. When sources do not cover a question directly, the answer states the closest evidence it found and where the gap is.

What happens if a run fails? The run stops with a FifthRow error. Report issues in the Issues tab.