Market
Market measure by dimension breakdown
Authorization
Body application/json
advancedFiltersone ofShow child attributesHide child attributes
Option 1objectShow child attributesHide child attributes
childrenone of[]requiredArray of filter expressions (AND)
Same shape as its parent.
typeenumrequiredandOption 2objectShow child attributesHide child attributes
childrenone of[]requiredArray of filter expressions (OR)
Same shape as its parent.
typeenumrequiredorOption 3objectShow child attributesHide child attributes
childone ofrequiredSame shape as its parent.
typeenumrequirednotOption 4objectShow child attributesHide child attributes
fieldstringrequiredopenumrequiredComparison operator. exists means the field has a REAL value: on fields whose source records an unknown as an in-domain value (e.g. beds, squareFeet, lotSquareFeet, where an unrecorded measurement is stored as 0), those docs count as NOT existing. neq keeps docs with no value — it removes only what is known to equal the value, matching the reading of an exclusion.
eqneqgtgteltltebetweeninmatchgeoDistanceexiststypeenumrequiredfiltervaluenullComparison value
filtersone ofShow child attributesHide child attributes
Option 1objectShow child attributesHide child attributes
childrenone of[]requiredArray of filter expressions (AND)
Same shape as its parent.
typeenumrequiredandOption 2objectShow child attributesHide child attributes
childrenone of[]requiredArray of filter expressions (OR)
Same shape as its parent.
typeenumrequiredorOption 3objectShow child attributesHide child attributes
childone ofrequiredSame shape as its parent.
typeenumrequirednotOption 4objectShow child attributesHide child attributes
fieldstringrequiredopenumrequiredComparison operator. exists means the field has a REAL value: on fields whose source records an unknown as an in-domain value (e.g. beds, squareFeet, lotSquareFeet, where an unrecorded measurement is stored as 0), those docs count as NOT existing. neq keeps docs with no value — it removes only what is known to equal the value, matching the reading of an exclusion.
eqneqgtgteltltebetweeninmatchgeoDistanceexiststypeenumrequiredfiltervaluenullComparison value
flatFiltersobjectShow child attributesHide child attributes
amortizationTypeone of | nullShow child attributesHide child attributes
Option 1stringOption 2string[]Match any value
Option 3objectFuzzy text match
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matchstringrequiredappraisedValueone of | nullShow child attributesHide child attributes
Option 1numberOption 2number[]Match any value
Option 3objectNumeric range. Excludes null/missing-field docs by default; add includeNulls: true to keep them.
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gtnumbergtenumberincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires at least one of gte/lte/gt/lt.
ltnumberltenumberborrowerGenerationone of | nullShow child attributesHide child attributes
Option 1stringOption 2string[]Match any value
Option 3objectFuzzy text match
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matchstringrequiredchannelone of | nullShow child attributesHide child attributes
Option 1stringOption 2string[]Match any value
Option 3objectFuzzy text match
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matchstringrequiredclosingDateone of | nullShow child attributesHide child attributes
Option 1stringExact date, or a whole period: YYYY-MM-DD (that day), YYYY-MM (the whole month — "2025-06" = 2025-06-01 through 2025-06-30) or YYYY (the whole year). YYYYMMDD, MM/DD/YYYY, an ISO-8601 datetime and epoch milliseconds are also accepted. An unparseable value is a 400.
Option 2objectDate range. Excludes null/missing-field docs by default; add includeNulls: true to keep them. Bounds accept YYYY, YYYY-MM, YYYY-MM-DD, YYYYMMDD, MM/DD/YYYY, a full ISO datetime or epoch milliseconds; an unparseable bound is a 400. A partial bound denotes the whole period and expands to the edge that preserves the operator: gte/lt take the period START, gt/lte take the period END — so {gte: "2024"} means on/after 2024-01-01 and {lte: "2024"} means through 2024-12-31.
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gtstringgtestringincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires a bound.
ltstringltestringcombinedLtvone of | nullShow child attributesHide child attributes
Option 1numberOption 2number[]Match any value
Option 3objectNumeric range. Excludes null/missing-field docs by default; add includeNulls: true to keep them.
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gtnumbergtenumberincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires at least one of gte/lte/gt/lt.
ltnumberltenumbercommunityIncomeLevelone of | nullFFIEC income classification of the neighborhood the property sits in. A tract-level aggregate statistic describing the neighborhood, never an individual, household or applicant attribute. Carried on roughly a fifth of originations, so this filter narrows sharply.
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Option 1enumOne of (case-insensitive): low, moderate, middle, upper
lowmoderatemiddleupperOption 2enum[]Match any of these values
lowmoderatemiddleupperOption 3objectFuzzy text match
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matchstringrequiredcountyone of | nullShow child attributesHide child attributes
Option 1stringOption 2string[]Match any value
Option 3objectFuzzy text match
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matchstringrequiredcountyCodeone of | null3-digit county code (the county segment of a FIPS, e.g. Philadelphia = "101"). Pair it with state — the code is not unique across states. county accepts a county NAME or 5-digit FIPS and resolves to this code for you.
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Option 1stringOption 2string[]Match any value
Option 3objectFuzzy text match
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matchstringrequiredcraEligiblebooleanOnly CRA-eligible originations (a low- or moderate-income neighborhood OR a low- or moderate-income borrower). Determined on every origination.
creditScoreone of | nullShow child attributesHide child attributes
Option 1numberOption 2number[]Match any value
Option 3objectNumeric range. Excludes null/missing-field docs by default; add includeNulls: true to keep them.
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gtnumbergtenumberincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires at least one of gte/lte/gt/lt.
ltnumberltenumbercurrentHomeOwnerboolean | nulldtione of | nullShow child attributesHide child attributes
Option 1numberOption 2number[]Match any value
Option 3objectNumeric range. Excludes null/missing-field docs by default; add includeNulls: true to keep them.
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gtnumbergtenumberincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires at least one of gte/lte/gt/lt.
ltnumberltenumberdtifrontone of | nullShow child attributesHide child attributes
Option 1numberOption 2number[]Match any value
Option 3objectNumeric range. Excludes null/missing-field docs by default; add includeNulls: true to keep them.
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gtnumbergtenumberincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires at least one of gte/lte/gt/lt.
ltnumberltenumberfirstTimeHomebuyerboolean | nullhmdaActionTakenone of | nullShow child attributesHide child attributes
Option 1stringOption 2string[]Match any value
Option 3objectFuzzy text match
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matchstringrequiredincomeone of | nullShow child attributesHide child attributes
Option 1numberOption 2number[]Match any value
Option 3objectNumeric range. Excludes null/missing-field docs by default; add includeNulls: true to keep them.
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gtnumbergtenumberincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires at least one of gte/lte/gt/lt.
ltnumberltenumberloanAmountone of | nullShow child attributesHide child attributes
Option 1numberOption 2number[]Match any value
Option 3objectNumeric range. Excludes null/missing-field docs by default; add includeNulls: true to keep them.
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gtnumbergtenumberincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires at least one of gte/lte/gt/lt.
ltnumberltenumberloanApplicationDateone of | nullShow child attributesHide child attributes
Option 1stringExact date, or a whole period: YYYY-MM-DD (that day), YYYY-MM (the whole month — "2025-06" = 2025-06-01 through 2025-06-30) or YYYY (the whole year). YYYYMMDD, MM/DD/YYYY, an ISO-8601 datetime and epoch milliseconds are also accepted. An unparseable value is a 400.
Option 2objectDate range. Excludes null/missing-field docs by default; add includeNulls: true to keep them. Bounds accept YYYY, YYYY-MM, YYYY-MM-DD, YYYYMMDD, MM/DD/YYYY, a full ISO datetime or epoch milliseconds; an unparseable bound is a 400. A partial bound denotes the whole period and expands to the edge that preserves the operator: gte/lt take the period START, gt/lte take the period END — so {gte: "2024"} means on/after 2024-01-01 and {lte: "2024"} means through 2024-12-31.
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gtstringgtestringincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires a bound.
ltstringltestringloanPurposeone of | nullShow child attributesHide child attributes
Option 1stringOption 2string[]Match any value
Option 3objectFuzzy text match
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matchstringrequiredloanStatusone of | nullHMDA action, else funding/denial/lock date evidence.
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Option 1enumOne of (case-insensitive): funded, purchased, not_funded, pending
fundedpurchasednot_fundedpendingOption 2enum[]Match any of these values
fundedpurchasednot_fundedpendingOption 3objectFuzzy text match
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matchstringrequiredloanTermone of | nullShow child attributesHide child attributes
Option 1numberOption 2number[]Match any value
Option 3objectNumeric range. Excludes null/missing-field docs by default; add includeNulls: true to keep them.
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gtnumbergtenumberincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires at least one of gte/lte/gt/lt.
ltnumberltenumberloanTypeone of | nullShow child attributesHide child attributes
Option 1stringOption 2string[]Match any value
Option 3objectFuzzy text match
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matchstringrequiredlowModIncomeTractbooleanOnly originations in a low- or moderate-income neighborhood. This describes the U.S. Census tract (neighborhood) as a whole — a tract-level aggregate statistic, never an individual, household or applicant attribute. false also matches originations whose neighborhood carries no income classification; pair with communityIncomeLevel when you need the classified population only.
ltvone of | nullShow child attributesHide child attributes
Option 1numberOption 2number[]Match any value
Option 3objectNumeric range. Excludes null/missing-field docs by default; add includeNulls: true to keep them.
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gtnumbergtenumberincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires at least one of gte/lte/gt/lt.
ltnumberltenumbermajorityMinorityTractbooleanOnly originations in a majority-minority neighborhood. This describes the U.S. Census tract (neighborhood) as a whole — a tract-level aggregate statistic, never an individual, household or applicant attribute. Carried on about half of originations.
metroone of | nullMetro area code (5-digit federal CBSA code, e.g. Los Angeles = "31084"). Roughly half of originations sit outside any metro area and carry no code, so a metro filter is a narrowing one.
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Option 1stringOption 2string[]Match any value
Option 3objectFuzzy text match
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matchstringrequiredmiddleIncomeTractbooleanOnly originations in a middle-income neighborhood. Tract-level aggregate, never an individual attribute. Same caveat on false as lowModIncomeTract.
minorityTractPctone of | nullNon-white share (0-100) of the neighborhood's population. Tract-level aggregate, never an individual attribute.
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Option 1numberOption 2number[]Match any value
Option 3objectNumeric range. Excludes null/missing-field docs by default; add includeNulls: true to keep them.
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gtnumbergtenumberincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires at least one of gte/lte/gt/lt.
ltnumberltenumbermodeenumandornoteRateone of | nullShow child attributesHide child attributes
Option 1numberOption 2number[]Match any value
Option 3objectNumeric range. Excludes null/missing-field docs by default; add includeNulls: true to keep them.
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gtnumbergtenumberincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires at least one of gte/lte/gt/lt.
ltnumberltenumberoccupancyTypeone of | nullShow child attributesHide child attributes
Option 1stringOption 2string[]Match any value
Option 3objectFuzzy text match
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matchstringrequiredpropertyTypeone of | nullShow child attributesHide child attributes
Option 1stringOption 2string[]Match any value
Option 3objectFuzzy text match
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matchstringrequiredpurchasePriceone of | nullShow child attributesHide child attributes
Option 1numberOption 2number[]Match any value
Option 3objectNumeric range. Excludes null/missing-field docs by default; add includeNulls: true to keep them.
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gtnumbergtenumberincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires at least one of gte/lte/gt/lt.
ltnumberltenumberselfEmployedboolean | nullstateone of | nullShow child attributesHide child attributes
Option 1stringOption 2string[]Match any value
Option 3objectFuzzy text match
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matchstringrequiredtractIncomeVsMetroPctone of | nullNeighborhood median family income as a percent of its metro area's — 100 is parity, and it legitimately exceeds 100. Tract-level aggregate, never an individual attribute.
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Option 1numberOption 2number[]Match any value
Option 3objectNumeric range. Excludes null/missing-field docs by default; add includeNulls: true to keep them.
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gtnumbergtenumberincludeNullsbooleanAlso keep docs where the field is null/missing (a range filter drops them by default). Requires at least one of gte/lte/gt/lt.
ltnumberltenumberveteranIndicatorboolean | nullzipone of | nullShow child attributesHide child attributes
Option 1stringOption 2string[]Match any value
Option 3objectFuzzy text match
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matchstringrequiredmeasureenumdefault: "units"Which metric to compute. Every field-backed measure is sentinel-guarded: the source encodes unknown values as an out-of-range fill, so values outside the measure's plausible range are dropped before it is aggregated. Ranges: volume 0–100,000,000; avgRate 0–25; avgLoanAmount 0–100,000,000; avgCreditScore 300–850; avgLTV 0–999; avgDTI 0–999; avgIncome 0–100,000,000; avgAppraisedValue 0–100,000,000; avgPurchasePrice 0–100,000,000; avgDtiFront 0–999; avgCombinedLtv 0–999; avgLoanTerm 0–1,200; originatedVolume 0–100,000,000; originatedAvgDti 0–100. units and originatedUnits are document counts and are not guarded. Each response reports how many documents its guard excluded, so a mean taken over 98% of the data can be told apart from one taken over 60%. NOTE on population: units and volume cover loan APPLICATIONS of every outcome — denials, withdrawals and secondary-market purchases included — and so does avgDTI, while originatedUnits, originatedVolume and originatedAvgDti cover originations only. Which metric each bar reports, AND what the bars are ranked by — the list is ordered by the measure you ask for, descending. Defaults to units, so an unqualified "top originators" means the busiest; pass volume for the biggest by dollars, or an average to rank by that average. Two things to know about the averages specifically. Buckets built from fewer than 5 documents are dropped from an average chart entirely, because a mean says nothing about how many transactions produced it and a single-transaction bucket would otherwise outrank real ones; no floor is applied to units or volume, where a lone large transaction is a legitimate top bar. And ranking a bucket list by a sub-aggregated average is approximate in the search engine — each shard contributes its own local top-N before they are merged — so treat the ordering of an average chart as indicative near the boundary rather than exact. Every bucket publishes its own count, so the sample size behind a value is never implicit.
volumeunitsavgRateavgLoanAmountavgCreditScoreavgLTVavgDTIavgIncomeavgAppraisedValueavgPurchasePriceavgDtiFrontavgCombinedLtvavgLoanTermoriginatedUnitsoriginatedVolumeoriginatedAvgDtiperiodenumDate window for loans / sales / market endpoints. Accepts every Period value plus rolling windows: last30Days / last60Days / last90Days (today minus 30 / 60 / 90 days through today), previousMonth (the last complete calendar month) and currentMonth (the 1st of this month through today). All windows are resolved in UTC with inclusive calendar-date bounds. Rolling windows are only accepted by the loans, sales and market endpoints (list, count, breakdowns, analytics summary / time-series / chart); originators / companies / branches / agents / offices endpoints return 400 for them.
2017201820192020202120222023202420252026last3Monthslast6Monthslast12Monthslast14Monthslast16Monthslast18Monthslast24MonthsyearToDateallTimelast30Dayslast60Dayslast90DayspreviousMonthcurrentMonthsliceenumrequiredstatecountymetroziploanPurposeloanTypepropertyTypeoccupancyTypeamortizationTypechannelborrowerGenerationfirstTimeHomebuyerveteranIndicatorhmdaActionTakenselfEmployedcurrentHomeOwnerlenderTypelenderVolumeClassResponses
200objectChart data with measure/slice breakdownShow attributesHide attributes
completenessobjectData-completeness watermark for this response. Present only when it could be measured; absence means it was not measured, NOT that the data is complete.
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throughdaterequiredThe last calendar date (YYYY-MM-DD) this query's matching records actually reach. Records arrive after the events they describe, so a period ending today is normally backed by data ending days or weeks earlier, and any bucket extending past this date is built from a partial period. Measured from THIS query's own matched set, not a global figure: the delay varies by geography and moves over time, so two requests with different filters can legitimately report different dates.
dataobject[]requiredShow child attributesHide child attributes
countnumberrequiredHow many documents this bucket was built from — the denominator behind value, published whatever the measure. It is the sample size of an average, the transaction count behind a volume sum, and (for measure: "units") value itself. Present on every bucket. Distinct from excluded, which reports how many of these documents a guarded measure's sentinel filter then dropped: a bucket can look well-populated here and still average over far fewer.
excludednumberHow many of this bucket's documents the measure's sentinel guard excluded — documents that carry the field but whose value is an out-of-range fill. Additive and optional: absent when the measure is unguarded (a document count, or a field with no fill values). Present per BUCKET because exclusion is not uniform — one period or slice can be almost entirely fill values while its neighbors are clean, and a single response-level total would hide exactly that.
idstringMachine value behind label when the bucket key is not itself the label. lender: label is the dictionary display name and id the normalized lender key — pass id, not label, back as a lender filter value. conforming: label is conforming / nonConforming and id the raw true / false flag. titleCompany (time-series segment): label is the most-used spelling and id the normalized name every spelling was merged under — match segments across buckets on id. Absent on slices whose label is already the machine value.
labelstringrequiredsegmentsobject[]Present only when the request named a segment: this bucket broken down by that second dimension, ranked by the same measure and capped at 25 per bucket (the rest is counted in segmentsOmittedCount). Documents with no value for the segment are not grouped and appear nowhere here, so segment counts sum to at most the bucket's count.
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countnumberrequiredDocuments in this segment of the parent bucket — the denominator behind value, whatever the measure.
idstringMachine value behind label when the bucket key is not itself the label. lender: label is the dictionary display name and id the normalized lender key — pass id, not label, back as a lender filter value. conforming: label is conforming / nonConforming and id the raw true / false flag. titleCompany (time-series segment): label is the most-used spelling and id the normalized name every spelling was merged under — match segments across buckets on id. Absent on slices whose label is already the machine value.
labelstringrequiredvaluenumberrequiredThe requested measure over the documents in BOTH this segment and its parent bucket.
segmentsOmittedCountnumberPresent only with segments: documents in this bucket whose segment value fell past the 25-per-bucket cap. A document COUNT, never a dollar figure. 0 means segments is the complete breakdown of every document that carries a segment value.
unattributedenumPresent and true on at most one bucket, which is NOT a real category: it collects the documents this breakdown could not attribute to any value of the slice, and its label ("(unknown)") is prose, not an identifier. Filter on THIS field, never on the label — a consumer plotting a map or joining the label to a real code must drop this row. It is always the LAST element of data, appended after ranking rather than placed by value, so it is the one bucket that does not obey the ordering measure describes. It exists so the bars account for the same population the summary reports: a document whose slice field holds no indexed term is absent from a terms breakdown entirely rather than forming a small bucket, so without it a chart silently omits part of its own corpus. That reconciliation is exact for units; on an average it is not, because buckets under the five-document floor are dropped and a slice with more than 200 distinct values still truncates — neither loss is collected in this row (the truncated tail is reported response-wide as omittedCount; the floor is reported nowhere). Absent when there is nothing unattributed, never false and never a zero-valued row.
truevaluenumberrequiredmeasurestringrequirednextCursorstringPaged party slices only (a chart request that passed size or after with slice originator / broker / loanCompany). Opaque cursor for the next page of the ranking — send it back as after with the same body. Absent on the last page.
omittedCountnumberHow many documents fell outside the bars — the size of the dropped tail, not its value. A chart groups by a capped number of distinct values, so a slice with more of them than the cap returns its largest groups and drops the rest; zip, city, lender and originator are the ones that reach it. It is the documents in the groups past the size cap, and only those: documents excluded from the slice by its empty-value filter, or carrying no value for it at all, are never grouped and are not counted here either. Where the response carries an unattributed row that row collects them; elsewhere a small residual against /analytics/summary can remain on city, lender, originator and similar, so bars plus this count reconcile with the summary's population exactly only on a slice with no such documents. 0 means the bars ARE the complete set, and the field is absent only where the grouping cannot truncate at all — so 0 and missing are different claims. Unlike a breakdown there is no next page to fetch: narrow the filters or pick a coarser slice. It is a DOCUMENT count and never a dollar or an average — the aggregation reports how many rows it left out, not what they were worth, so a truncated volume chart cannot be completed from this figure. One exception it does not cover: the average measures drop buckets thinner than a minimum sample size, and those are not counted here — compare against the summary when a mean matters.
segmentstring | nullrequiredThe second dimension echoed from the request, or null for a one-dimensional chart (then no bucket carries segments).
slicestringrequiredtotalintegerPaged party slices only. Distinct bucket keys (e.g. originators) in the filtered population — what a consumer paginates against. A cardinality ESTIMATE (see totalApproximate): near-exact below 40,000, approximate above. On an average measure it can exceed the ranked buckets, which drop keys under the 5-document floor. Use nextCursor, not total, to decide whether another page exists.
totalApproximatebooleanPresent (always true) alongside total: the total is a cardinality estimate, not an exact count.
400objectValidation error401objectUnauthorized403objectForbidden (authenticated, but missing required context — e.g. no active organization)404objectNot found413objectResponse payload too large — detail endpoint capped to fit Lambda response limits503objectSearch timed out or the cluster is overloaded — retry after `Retry-After` seconds.