You.com Answer API: Audit Citations, Excerpts, and Uncited Claims

Audit You.com Answer API citations, excerpts, live-source support and uncited claims with a 28-field downloadable claim-source ledger.

Sonar tethers an answer claim to its returned excerpt and live source while an uncited fragment remains separate.

Direct answer: A You.com Answer API response gives you three evidence layers to audit: the Markdown answer, the ordered citations array with source URLs and excerpts, and results.web containing web results considered during synthesis. Verify the mapping between all three before treating “citation-backed” as proof that every material claim is complete and decision-ready.

This rebuilt guide includes a 28-field citation audit ledger. It records the request controls, response fields, claim, nearby citation, excerpt match, live-page support, source quality, reviewer decision, and rerun date. All included rows are marked EXAMPLE-REMOVE; they are method examples, not measured API results.

Record the current response contract

The current You.com Answer API guide describes a managed pipeline that takes one query, retrieves web results, extracts supporting content, and synthesizes a cited answer in one request. You do not choose the underlying search strategy, page reads, prompts, or model. Optional controls cover freshness, country, language, safe search, and included, excluded, or boosted domains.

Every response includes an answer field with Markdown and numbered inline citations, a citations array in citation order, and results.web for web results considered during synthesis whether they were cited or not. A citation item includes a source URL and one or more excerpts.

You.com says its pipeline verifies that each citation exists in the supplied source text and supports the answer before returning it. Treat this as the documented product contract. Your audit tests whether the returned evidence supports your own publication or application decision; it is not a claim that You.com performs no verification.

Freeze the request and response before rendering

Save the endpoint, request timestamp, application version, query, freshness, country, language, safe-search value, and domain controls. Preserve the raw response before removing whitespace, renumbering references, transforming Markdown, or merging source lists. A presentation layer can break the link between a claim and its citation even when the API response was internally consistent.

Keep the API key and authorization header out of the audit. Use a non-secret run alias and store sensitive operational logs separately. If the question contains confidential or personal information, do not copy it into a public artifact.

Preserve the layer that owns each observation
LayerRecordDo not infer
RequestQuery and controlsThe exact hidden retrieval strategy
AnswerMarkdown and inline citation numbersCompleteness or correctness by formatting alone
CitationsOrdered sources and returned excerptsIndependent authority or stable selection
Web resultsResults considered during synthesisEvery page available on the web

Split the answer into reviewable claims

Do not score a paragraph as one unit. Split it into factual claims, calculations, interpretations, recommendations, and uncertainty statements. Give each material claim a stable ID. Record the citation number immediately adjacent to the claim and whether the claim has no citation.

A sentence can contain several propositions with different evidence. One excerpt may support the product release date but not a performance comparison attached to it. Split the propositions instead of awarding full support because one part is cited.

Review absence as well as presence. A well-cited answer can omit a material exception, jurisdiction, date, denominator, or conflicting source. Completeness is a reader-job judgment that the citation mapping alone cannot settle.

Test the returned excerpt and the live source separately

First compare the returned claim with the citation excerpt. Classify the relationship as direct, partial, qualified, conflicting, absent, or inaccessible. Then open the source URL and inspect the live page. Confirm the excerpt appears in the page or in an accessible authoritative version, and read enough surrounding context to detect a changed subject, missing qualifier, outdated date, or quoted opinion.

Use a support class that preserves the reason
ClassMeaningEditorial action
DirectThe excerpt and context support the complete claimContinue source-quality and freshness review
PartialOnly part of the claim is supportedSplit, narrow, or add evidence
QualifiedSupport depends on a condition omitted from the answerAdd the condition beside the claim
ConflictingThe source context pushes against the answerReject or rewrite the claim
Absent or inaccessibleNo usable support can be verifiedDo not publish the claim as verified

A verbatim excerpt match proves a textual relationship to the content supplied to the model. It does not, by itself, prove the source is correct, current, independent, applicable to the question, or the best available authority.

Review ownership, freshness, and source concentration

Classify the factual owner: official documentation, standard, law or regulator, original research, dataset, qualified analysis, reporting, community report, vendor marketing, or unknown. A vendor page is usually the closest source for its current API field but not independent proof of its benchmark quality.

Record publication or update time, retrieval time, geography, product version, and access state when they constrain the claim. Follow redirects and preserve the resolved URL. If several citations repeat one announcement through syndication, count the underlying factual owner rather than treating the links as independent confirmation.

The current response schema no longer includes an authors field in Answer API source results. You.com’s July 15, 2026 changelog records its removal. Do not build current source-quality logic around that deleted field; resolve publisher and author information from the source page when the decision needs it.

Compare cited sources with considered results

The results.web list creates a useful audit boundary. Record whether the source attached to a claim was cited, merely considered, or absent from the returned result set. This can expose cases where a stronger primary source was retrieved but the answer cited a secondary page, or where several considered results repeat the same factual owner.

Do not interpret order in results.web as a public search ranking or durable recommendation unless the documentation defines it that way. It is an application response from a managed pipeline. A later run can differ as the web, index, filters, and synthesis system change.

A source can be present without being the right support
QuestionRecordWhy it matters
Was it cited?Citation index and claim IDPreserves the explicit answer mapping
Was it considered?Position or presence in results.webShows part of the returned retrieval set
Who owns the fact?Primary owner and source typePrevents syndicated copies from looking independent
Was a closer source available?Reviewer note and replacement URLTurns the audit into a repair decision

Use the 28-field citation audit ledger

Download the You.com Answer API citation audit ledger. Each row represents one claim-source relationship from one preserved run. Remove or replace all EXAMPLE-REMOVE rows. The examples show the allowed values and are not evidence about You.com’s output quality.

The ledger separates returned evidence from reviewer evidence. It stores the citation excerpt and excerpt-match status, then records whether the live page supports the claim, source authority, freshness, conflicts, the editorial decision, and the next review date.

End each claim review with an explicit action
DecisionUse whenNext step
AcceptSupport, authority, scope, and freshness fitKeep the source beside the claim
QualifyThe claim needs a visible condition or limitRewrite and preserve the qualifier
Replace sourceA closer factual owner is availableCite and verify the primary source
RemoveSupport is absent, conflicting, or unnecessaryDelete the claim or collect new evidence

Design a repeatable evaluation without inventing a benchmark

Freeze a small query set before reviewing outputs. Include stable factual questions, time-sensitive questions, questions with jurisdiction or product-version boundaries, and questions whose correct answer should express uncertainty. Preserve errors, empty results, and uncited claims. Define the support rubric and reviewer rules in advance.

Keep citation support, factual correctness, completeness, source authority, latency, and cost as separate measures. Report the sample, date, controls, and denominator for each result. One run can demonstrate the audit method; it cannot establish population-wide accuracy or stable source selection.

Use the AI visibility measurement crosswalk when comparing citation and referral metrics, and the small-experiment workflow for baselines, confounders, and stopping rules. Do not merge an API citation audit with aggregate brand visibility.

Citation grading

Grade answer support claim by claim, not response by response

One well-supported paragraph does not make the entire API response reliable.

Direct
The cited text supports the same claim and qualification.
Partial
The source supports the topic but not the full statement.
Contradictory
The source conflicts with the answer.
Uncited
No visible source supports the claim.

My takeaway: My acceptance threshold would be defined before testing and weighted toward consequential claims. A polished response can still fail if its most important statement is only partially supported.

Sources and method

Documentation was rechecked on August 29, 2026. This page describes a verification method and worksheet. It does not claim an API key was used, report an independent Answer API accuracy test, or reproduce You.com’s benchmark and latency claims.

Extraction, transport and attribution belong in one audit

Citation quality cannot be evaluated independently from the endpoint, response shape and extraction mode that produced it. These supporting tests are consolidated here so a reader can trace the full pipeline instead of comparing isolated API changes.

Decision map for the consolidated reports
ChangeWhat it affectsBest next check
You.com Highlights vs Full-Page Extraction TestYou.com now lets Search API users request relevant highlights or full-page HTML and Markdown. Use this protocol to compare citation support, answer coverage, latency, and tokens without inventing a winner.Compare claim support, coverage, tokens, latency, failures and answer quality on the same frozen query set.
You.com Web Search GET vs POST: Cacheability and Domain-Filter SemanticsChoose You.com Web Search GET or POST by comparing cache behavior, domain-list encoding, URL limits, filter precedence, redacted keys, and time-sensitive results.GET uses comma-separated domain fields; POST can express domain arrays directly.
You.com Removed the authors Field: Keep Attribution Pipelines StableMake author metadata optional, preserve source identity, and test downstream attribution systems after You.com removed the authors field from v1 and Answer API results.Check storage, exports, templates, analytics, search indexes, and entity tables.

Originally reported 2026-08-16

You.com Highlights vs Full-Page Extraction Test

Why it matters: You.com now lets Search API users request relevant highlights or full-page HTML and Markdown. Use this protocol to compare citation support, answer coverage, latency, and tokens without inventing a winner.

Next check: Compare claim support, coverage, tokens, latency, failures and answer quality on the same frozen query set.

Direct answer: You.com added an extraction object to POST /v1/search on August 11, 2026. A client can request relevant highlights for token-sensitive workflows or retrieve a full_page representation as Markdown or HTML. The modes expose different amounts and shapes of evidence.

There is no honest universal winner without a task and test. Highlights can reduce context volume but may omit a passage needed for a complex claim. Full-page extraction can preserve more context while increasing tokens, latency and irrelevant material. This protocol compares both without presenting an unrun benchmark as a result.

Map the response contract before comparing quality

Current Search API extraction behavior
ModeReturned contentPrimary risk
Highlightscontents.highlights with relevant passages; ordinary snippets omittedNeeded context falls outside selected passages
Full page: Markdowncontents.markdown plus default snippetsNavigation and repeated page material consume context
Full page: HTMLcontents.html plus default snippetsMarkup noise and larger payloads complicate parsing

Save the raw Search API response before cleaning it. The source URL, title, retrieval time, extraction mode, returned order and errors are part of the evidence object.

Freeze a query-and-answer fixture

Use at least four task classes: a narrow fact, a multi-condition explanation, a comparison that needs evidence from more than one source, and a current product fact. Add one zero-result or inaccessible-page case. Freeze exact queries, domain filters, country and language settings, freshness controls, result count, model, answer instructions and acceptance rubric.

Run both extraction modes against the same query in close succession. If the result set changes, compare only overlapping URLs or record the retrieval difference as a separate variable. Otherwise the test confuses extraction with search ranking and index freshness.

The existing GET versus POST guide covers endpoint and cache semantics. The citation-ready passage guide explains claim-to-source review.

Score evidence and efficiency separately

Do not hide a critical citation failure inside one average score
MetricDefinitionEvidence to save
Claim supportMaterial answer claims directly supported by a retrieved passageClaim, passage, URL and reviewer label
CoverageRequired task elements answered with evidenceFrozen rubric and missing elements
Source fidelityAnswer preserves conditions, uncertainty and attributionSource snapshot and answer text
Input tokensTokens sent into the answer stepTokenizer/version and per-source counts
LatencyElapsed search, extraction and answer timeStart/end timestamps and retry state
Failure rateEmpty, inaccessible, truncated or malformed sourcesRaw error and HTTP/extraction state

Report medians and tail values for tokens and latency. For citation support, preserve reviewer disagreements instead of forcing a clean score.

Calculate citation value per 1,000 tokens carefully

A practical efficiency measure is supported material claims ÷ input tokens × 1,000. Publish the numerator and denominator, not only the ratio. A compact mode can score well while missing an essential claim; a full-page mode can support more claims but waste context.

Use a release gate: no extraction mode wins when it increases unsupported material claims, hides contradictory source language, or fails the task’s mandatory element; even if its token ratio improves. Choose a default by task class and keep a fallback when extraction returns insufficient evidence.

Status: this is a reproducible protocol, not a completed benchmark. Search Engine Answer has not run a production You.com key against this fixture, so no measured advantage is claimed.

Primary documentation

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Originally reported 2026-08-11

You.com Web Search GET vs POST: Cacheability and Domain-Filter Semantics

Why it matters: Choose You.com Web Search GET or POST by comparing cache behavior, domain-list encoding, URL limits, filter precedence, redacted keys, and time-sensitive results.

Next check: GET uses comma-separated domain fields; POST can express domain arrays directly.

Direct answer: You.com documents GET and POST forms for Web Search that use the same underlying search logic but encode complex inputs differently. GET can participate in HTTP caching when the cache key varies correctly; POST is safer for long or structured domain lists. Choose the method from request size, cache policy, observability, and filter semantics; not from an assumption that one ranks differently.

Matching request meaning does not guarantee identical or stable result ordering over time. Search indexes, freshness, live-crawl behavior, location, provider updates, and cache age can change the response. Infrastructure cacheability is not a search ranking signal.

Normalize one request before comparing methods

Create one canonical request object containing query, country or locale, freshness, safe search, result count, live-crawl option, include domains, exclude domains, boost domains, and every other result-changing field. Generate GET and POST requests from that object so method comparison cannot drift through two hand-maintained builders.

For GET, serialize supported domain fields exactly as documented; repeated parameters are not a substitute for the required comma-separated form. For POST, preserve array order only when the API says it matters and normalize duplicate domains before sending.

GET and POST differ operationally even when search meaning matches
FieldGETPOST
EncodingQuery stringJSON body
Domain listsComma-separated fieldStructured arrays
CachingPossible with complete key and VaryNot normally shared-cacheable by default
Best fitShort repeatable requestLong or complex filters

Make cache keys and credentials safe

Never place the API key in the URL. If an intermediary caches GET responses, its key must cover the full normalized URL and authorization context, and its response handling must respect the documented Vary behavior. Logs, analytics, and error trackers should redact credentials and sensitive queries.

Set an explicit cache lifetime that matches the user job. A research query requiring current results should not receive a day-old shared response because it was cheaper. Save cache hit or miss, stored time, age, and purge reason in test records.

Test domain-filter semantics

Test include, exclude, and boost behavior individually before combining them. You.com says boosted domains receive a relative preference but are not mandatory; include and exclude semantics are stronger constraints. Preserve an empty result when filters are too narrow rather than silently removing the filter.

Build cases for long lists, duplicates, subdomains, paths, commas, invalid combinations, non-ASCII domains, URL-length rejection, and a list that yields no results. Compare normalized request meaning, response status, result destinations, and a response hash while preserving the date.

Choose the method and preserve time

Use GET when the request is short, observable, and safely cacheable under your infrastructure. Use POST when the body is complex, long, or should not enter URL-oriented logs. Keep one shared validator so switching methods does not change domain precedence or defaults.

A reproducible report names the method, normalized request, cache state, API version, date, and response. It can show equivalence or difference for that sample; it cannot claim one method has a permanent ranking advantage.

Use the AI visibility tools buyer’s matrix for authentication and privacy, and the small-experiment method for repeatable runs.

Choose highlights or full-page extraction explicitly

You.com’s August 11 changelog documents an extraction object for POST /v1/search. The highlights mode returns relevant passages in contents.highlights and accepts a token budget; the full_page mode returns page content in contents.markdown or contents.html. The changelog also says default snippets are omitted when either extraction mode is requested.

This changes the response contract, not merely the transport. A fair GET-versus-POST study must record the extraction mode, token budget, requested fields, returned fields, page count and error state. Do not attribute a difference to HTTP method when one arm silently receives snippets and the other receives extracted page content.

The safe conclusion is bounded to You.com’s documented API behavior as of August 11, 2026. It does not establish that one extraction mode produces better rankings, citations or downstream answers.

Primary documentation

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Originally reported 2026-08-09

You.com Removed the authors Field: Keep Attribution Pipelines Stable

Why it matters: Make author metadata optional, preserve source identity, and test downstream attribution systems after You.com removed the authors field from v1 and Answer API results.

Next check: Check storage, exports, templates, analytics, search indexes, and entity tables.

Published August 9, 2026: You.com removed the authors field from Web Search API v1 search results and from Answer API source results on July 15, 2026. The field was removed from the response schemas and documentation; the legacy v0 Search API was not affected because it did not include the field.

This is a small schema change with a large lesson. Attribution pipelines should not fail because one provider stops returning one optional enrichment field. Preserve the source URL and title, make author data nullable, and distinguish provider metadata from author information verified on the source page.

Find the breaking assumptions

Search the codebase, database schema, serializers, templates, exports, analytics, and tests for authors. The most fragile patterns are required array access, non-null database columns, joins that expect at least one author, and display components that suppress a source card when attribution is absent.

Also inspect derived data. A pipeline may convert authors into entity tables, trust scores, deduplication keys, bylines, filters, or report dimensions. Removing the visible field from one interface does not repair those downstream assumptions.

Check alerting as well. A monitor that treats a missing optional field as a provider outage can create false incidents, while a permissive parser can quietly discard the rest of a malformed source object. Contract tests should distinguish an expected field removal from a genuinely invalid response.

Use a resilient source model

Separate required source identity from optional enrichment
FieldRequirementFallback
providerRequiredAdapter identity
source_urlRequired when suppliedDo not invent
titleNullableHost or “Untitled source” in UI
authorsOptional listEmpty list plus provenance status
published_atNullableUnknown, not request time
raw_payloadRetained for auditVersioned storage policy

Represent absence explicitly. An empty author list can mean the provider no longer supplies the field; it does not mean the source has no author. Add fields such as author_status and author_origin if attribution quality affects a decision.

Do not replace the field with unbounded scraping

Fetching every cited URL to recover a byline changes cost, latency, privacy, terms, and failure behavior. It can also produce false attribution when a page lists editors, reviewers, organizations, or unrelated people. Make enrichment a separate, observable process with a defined purpose.

When author identity matters, prefer explicit page metadata and visible bylines, record where the value came from, and keep provider-supplied attribution distinct from publisher-verified attribution. When author identity does not change the user decision, showing the source title and domain may be sufficient.

The evidence-led publishing guide applies the same rule to article claims: unknown should remain unknown until a source supports it.

A migration test plan

  1. Save pre-change fixtures that contain one or more authors.
  2. Add current v1 and Answer API fixtures without the field.
  3. Confirm parsing succeeds when authors is missing, null, or empty.
  4. Verify source cards still show title, URL, and date where available.
  5. Check exports, analytics, search indexes, and entity tables.
  6. Mark attribution as unavailable rather than fabricating a value.
  7. Monitor the provider changelog and version the adapter.

Run contract tests at the provider boundary and domain-model tests at the application boundary. The application should not need a hotfix every time a provider removes an optional field. The same normalized-source approach supports the Perplexity citation migration.

Primary documentation

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