Keyword Search Volume History, Up to 8 Years

Keyword Search Volume History, Up to 8 Years

Keyword search volume history for your keyword lists, keyword ideas and websites: 48 months of monthly Google searches on every row from Google Ads (Keyword Planner data), up to about 8 years (back to about October 2018) with the long history add-on, and the month by month history of CPC, competition and top of page bids since mid 2021 with the metrics history add-on. Every row also carries its history figures: the total of every calendar year, the change between the first and the last full year and its yearly rate, the highest and the lowest month. Any Google Ads location: countries, regions, cantons, states and cities. No Google Ads account and no API key needed.

Built for SEO and PPC teams, agencies, content and market researchers, ecommerce sellers and automation builders who need to see how demand for a keyword moved over the years, not only last year's average.

What makes it different

• Up to 8 years, labelled by source. With the long history add-on, the months before the 48 Google Ads keeps come from the DataForSEO Labs keyword database (copied monthly from Google Ads), and every month of the long series says where it came from (labs or google_ads).
• CPC and competition history. The metrics history add-on gives one entry per monthly snapshot since mid 2021: average searches, CPC, competition and its level, low and high top of page bid, with a summary of how CPC and competition moved.
• History figures computed for you, at no extra cost. Yearly totals with the months each year has data for, the first and last full calendar year, the change between them and the yearly growth rate, the highest and lowest month, the average month.
• 48 months, labelled. Every month is written YYYY-MM with its year and month number, oldest first, and a month Google did not report is listed in missingMonths instead of being left out.
• Fair billing. A keyword without Google data is a free row, and so is everything delivered again from your 30 day memory. A lookup that finds no keyword with data is free.
• CSV for sheets. MONTHLY_SEARCHES.csv has one line per keyword per month (long format) for the 48 Google Ads months, ready for Google Sheets or Excel.
• Seasonality and planning too. The seasonal peak months, the trend, and a rank of your keywords for each of the next 1 to 3 months you plan for.

Quick start

1. Paste your keywords (one per line), or seed keywords with What to look up set to keyword ideas.
2. Pick one or more Locations: a country name, a two letter code (CH), Worldwide, or a region or city the way Google Ads writes it (Zurich,Switzerland).
3. Tick Add 8 years of history and keyword insights and Add metrics history for the longest history (both are ticked in the Console form).
4. Click Start. A queued lookup is usually ready in 10 to 60 seconds. Export the dataset as JSON, CSV or Excel.

About 8 years of monthly searches and the CPC history for a keyword list:

{
    "keywords": ["winter jacket", "crm software", "iphone"],
    "locations": ["United States"],
    "includeInsights": true,
    "includeMetricsHistory": true
}

48 months of search volume history for a keyword list in Switzerland (no add-on):

{
    "keywords": ["winterjacke", "regenjacke", "badehose"],
    "locations": ["Switzerland"]
}

Keyword ideas for a seed with their history, at most 200 ideas:

{
    "mode": "ideas",
    "keywords": ["rain jacket"],
    "locations": ["United States"],
    "maxKeywords": 200
}

What you get

One keyword row per keyword and location, one plan row per planned month, free status rows for anything that was refused or skipped, and a summary row at the end.

Field	What it holds
keyword	The keyword as Google Ads keys it (lower case)
dataStatus	ok (Google has data, the row is charged unless it came from the memory) or no_data (free)
searchVolume	Google Ads average monthly searches (last 12 months)
monthlySearches	Oldest first: month (YYYY-MM), year, monthNumber, searches (48 months by default)
missingMonths, monthsWithData	Months of the window Google did not report
history	Over the Google Ads months: yearlyTotals (each year's searches, monthsWithData, fullYear), firstFullYear, lastFullYear, fullYearChangePct, compoundAnnualGrowthPct, highestMonth, lowestMonth, totalSearches, averageMonthlySearches, firstMonth, lastMonth
extendedMonthlySearches, extendedMissingMonths (add-on)	Up to about 8 years of months, oldest first: the Labs months before Google's 48, then the Google Ads months, each with source (labs or google_ads); for a whole country with the default window, where the Labs database holds older months for the keyword (otherwise null, with extendedHistoryNote)
extendedHistory, extendedHistoryNote (add-on)	The same history figures over the long series, and a note on its sources
metricsHistory (add-on)	One entry per monthly snapshot since mid 2021: searchVolume, cpc, competition (0 to 1), competitionLevel, lowTopOfPageBid, highTopOfPageBid
metricsHistoryMissingMonths (add-on)	Months between the first and the last snapshot that the Labs answer did not hold
metricsHistorySummary, metricsHistoryFrom, metricsHistoryLocation, metricsHistoryLanguage, metricsHistorySource (add-on)	First and latest CPC and the change in percent, highest and lowest CPC month, first and latest competition, the number of snapshots, and where they come from
cpc, competition, competitionIndex, lowTopOfPageBid, highTopOfPageBid, currency	Google Ads cost per click, competition and top of page bids today (USD)
emptyFields	The metric fields Google left empty on a row with data
trend	yoyChangePct, qoqChangePct, momChangePct, last3MonthsVsYearBeforePct, last12MonthsTotal, previous12MonthsTotal, direction (growing, stable, declining), latestMonth
seasonality	seasonalIndex and monthlyAverages per calendar month, peakMonth, peakMonths, lowMonth, lowMonths, strength, label, peakConsistency, cyclesCovered
planning	Per planned month: historicalAverage, seasonalIndex, lastYearSearches, changeFromLatestPct, historicalEvidence, planningAssumption
locationCode, locationName, locationType, countryCode, language, searchPartners	The targeting of the row
dateFrom, dateTo, dataAsOf, retrievedAt, source, sourceEndpoint, lookupId	The month window, the date Google last updated its keyword data, when the row was read and where it came from
closeVariants, spellCorrectedTo	Keywords of the same lookup that Google gave the same figures (close variants), and Google's spelling
discoveredBy, seedKeywords, isSeed, extraWords, extraWordsNote, conceptGroups, discovery	For ideas and website keywords: the source, the seeds it matches, the words it adds to them, Google's concept groups, and for ranked keywords the ranking position, page, title and estimated traffic
inputPositions	Where the keyword stood in your list
fromMemory, memoryDeliveredOn	Delivered again from your 30 day memory (free)
insights (add-on)	keywordDifficulty (0 to 100), searchIntent, otherIntents, serpFeatures, googleResultsCount, coreKeyword, detectedLanguage, categories, longHistory (the Labs months on their own), longHistoryFrom, longHistorySource, insightsLocation, insightsLanguage, insightsUpdatedAt
aiSearchVolume, aiMonthlySearches (add-on)	How often the keyword is asked in AI tools, 12 months
bing (add-on)	Bing searchVolume, cpc, competition (a number from 0 to 1), monthlySearches (24 months)

Words of demand, not product facts. In ideas, extraWords lists what a keyword adds to its seed. They describe what people search for; use one in a product title only when the product really has it.

Measured fill

Measured on the platform matrix of this Actor on its own private listing on 2026-10-19 (31 scenarios, platform-results/matrix-real1.json; US, Swiss, Canadian and British keywords of different kinds: head terms, seasonal, B2B, brands, a new term, a long tail phrase, keyword ideas):

Field	Rows
monthlySearches (48 months) and history	1,124 of 1,124 keyword rows with data (100 percent); 1,122 of them with two or more full calendar years, 1,121 with fullYearChangePct (one row's first full year had no searches)
extendedMonthlySearches with the long history add-on	10 of 10 United States rows over the default window that asked for it (an 11th row asked for a 24 month window, which never gets Labs months); 91 to 96 months, every one from 2019-06 or earlier
metricsHistory with the metrics history add-on	10 of 10 rows the run could pay for (2 more were held back by a charge limit scenario); 60 to 63 monthly snapshots each; CPC on 612 of 615 snapshots, top of page bids on 539 (bids and the competition level start in 2022-03); 5 of the 10 rows had one to three snapshot months missing in the Labs answer, listed in metricsHistoryMissingMonths

The latest snapshot of the metrics history equals the row's Google Ads CPC and top of page bids on 10 of 10 rows. In the feasibility spike (FEASIBILITY.md), the Labs months of the long series equalled Google Ads on 166 of 167 of the last 24 months; older Labs months can differ, most for long tail keywords (a long tail phrase matched Google Ads on 2 of 24 older months). A new keyword has fewer snapshots (a term that appeared in late 2022 had 44; a long tail phrase 23). Labs answers can leave out a snapshot month: one keyword came back with 63 snapshots in one run and 60 in another the same evening.

History figures, and what they are not

history is computed from the monthly searches of the row (extendedHistory from the long series): a calendar year is a full year when all 12 of its months have data, fullYearChangePct compares the last full year with the first, and compoundAnnualGrowthPct is the yearly rate between them. The long series is built only for a whole country, on Google search alone (search partners off), over the default window (the 48 months Google Ads keeps, to the latest month it published): a window you shortened at either end is never filled with Labs months, and a region or city row, or a row with search partners, gets no long series, since the Labs months are national figures for Google search. All of it is past search demand: it is not a forecast of demand or sales. Seasonality and planning (seasonality, planning, plan rows) are computed the same way over the Google Ads months.

How much does it cost to get keyword search volume history?

You pay per result with Apify's pay per event pricing. Prices in USD:

Event	When it is charged	FREE	BRONZE	SILVER	GOLD
Keyword	One keyword row with Google data	0.00032	0.00029	0.00027	0.00023
Lookup	One Google Ads or Bing request (up to 1,000 keywords, or one set of ideas) that delivered a charged keyword	0.36	0.33	0.30	0.26
Fast lookup	Fast speed only: one paid request that was sent live	0.21	0.19	0.17	0.15
Keyword insight	Add-on, one charged row with the long history and insights	0.00084	0.00077	0.0007	0.0006
Metrics history	Add-on, one charged row with its CPC, competition and bid history	0.0042	0.0038	0.0035	0.003
Discovered keyword	One charged row found through related searches, suggestions, autocomplete or ranked keywords	0.00084	0.00077	0.0007	0.0006
AI search volume	Add-on, one charged row with an AI search volume	0.00084	0.00077	0.0007	0.0006
Actor start	Once per run	0.40	0.40	0.40	0.40

Platinum and Diamond plans pay the Gold price. The Store pricing card shows these same prices per 1,000 events: "$0.23 / 1,000" on the Keyword row means one keyword costs $0.00023, "$3.00 / 1,000" on the Metrics history row means one keyword's metrics history costs $0.003, and "$260.00 / 1,000" on the Lookup row means one lookup costs 26 cents.

What a run costs (Gold plan): 3 keywords cost 0.40 (start) + 0.26 (one lookup) + 3 x 0.00023 = 0.6607; with both history add-ons 0.6607 + 3 x 0.0006 + 3 x 0.003 = 0.6715. 1,000 keywords in one lookup cost 0.40 + 0.26 + 0.23 = 0.89; with both history add-ons 0.89 + 0.60 + 3.00 = 4.49. The price does not depend on how many months you ask for.

Never charged as events (the start fee is charged at every run, refused ones included): keywords without Google data, rows delivered again from your memory, filtered keywords, refused input, the plan rows, the status rows and the summary, a lookup that finds no keyword with data, a close variant left out by Merge close variants, and an add-on for a keyword the Labs database does not hold. A run whose lookups keep finding nothing stops after what its start fee can carry, with a free row that says so (spend_bound); free rows past what the run's price can carry are not written, and a status row says how many (free_rows_capped, memory_rows_capped).

Spending control: set spendingLimitUsd, or the run option Max total charge; the run stops before its charges would pass it; the keywords it did not reach are counted in the summary (keywordsNotLookedUp, and rows.withheldByChargeLimit for keywords looked up but held back by the limit), and resumeFromPosition names the first list position to run again. An add-on is bought only for the keywords whose add-on event still fits the limit, and only while the run's price carries its request; an add-on request it does not carry is skipped with a free row (addon_not_bought), and the keyword rows go out without it. With more locations or lookups still ahead in the run, an add-on request that would leave too little room for the next lookup gives way first, so the keyword rows of every location are looked up before add-ons. The free row names which of the two happened and what to do: run that location on its own, or run the keywords again with the add-on in a smaller run.

Restarts. When the platform restarts a run (a migration), the run goes on from its ledger without buying or charging anything twice; its summary counts the rows and charged events of the whole run, add-ons included, and its outcome is partial with a note, since a lookup or add-on in flight at the restart may be missing. If the restarted run cannot read its dataset back, it stops (restart_read_failed) and rowCountsCover says its row counts cover that attempt only.

Input

Setting	What it does
mode	volume (your keywords), ideas (ideas from seeds, seeds included), website (keywords for websites)
keywords, keywordsText	Keywords or seeds, one per line; the paste box takes a copied column
websites, websiteScope, websiteSource	Website mode: up to 100 domains or page links; Google Ads keywords for them, or the keywords a domain ranks for
ideasSource, maxKeywords, maxIdeasPerSeed, sortBy	Ideas mode: Google Ads ideas, related searches, suggestions or autocomplete; the caps and the order
locations, language	Up to 10 locations; the language for ideas, website keywords and the Labs add-ons
historyMonths, dateFrom, dateTo	The month window of the Google Ads history (default the latest 48 months)
includeInsights	The long history (about 8 years) and keyword insights add-on
includeMetricsHistory	The CPC, competition and bid history add-on
planningMonths, planFrom	The months to plan for (default the next 3)
minSearchVolume, includeWords, excludeWords	Filters (whole words, one rule for both lists)
mergeCloseVariants, searchPartners, includeAdultKeywords	Google Ads options (mergeCloseVariants delivers one keyword of each close variant group in the whole run; it works with your list, Google Ads ideas and Google Ads website keywords)
speed	slow (queued, default) or fast (live requests)
includeAiVolume, includeBing	Add-ons
memoryName, refreshMemory	The 30 day memory and its refresh
spendingLimitUsd, maxRunMinutes	Limits

A location name must be written the way Google Ads writes it; Zurich alone is refused with the closest names (Zurich,Switzerland is the canton, Zurich,Zurich,Switzerland the city). Country names also work in their own languages (Schweiz, Suisse) and as ISO codes (CH, CHE) or locale tags (de-CH). The two Labs add-ons are given per country (a region or city row gets its country's insights and metrics history, named in insights.insightsLocation and in metricsHistoryLocation, and no long series), in the languages the Labs database lists for that country.

Speed. slow sends each lookup through the queue: on 2026-10-18 eight queued lookups were ready in 10 to 21 seconds. fast sends live requests instead, which skip the queue; the same day five live requests took 23 to 161 seconds, so slow is the right default and fast is for the days the queue is long. A fast run sends a lookup live only while its spending bound can carry the live price; otherwise that lookup goes through the queue without the Fast lookup fee, and the row says which speed was used (speedUsed).

Memory. With memoryName, a keyword, location and month range charged in the last 30 days under that name is delivered again free from the memory, with no new lookup, with the long history, AI volume and Bing figures it was bought with. The metrics history is not kept in the memory: a row delivered again from the memory comes without it and never buys it (the summary says so). A memory holds up to 30,000 keywords and 32 MB of stored figures (about 9,000 keywords with the long history add-on); past that, new rows are not delivered and not charged, and a free row (memory_full) says so.

Example row

A keyword row from a run of this Actor (United States, both history add-ons, health run NDlwaFVMadCfVAQVg of 2026-10-19), with the series shortened:

{
  "type": "keyword",
  "keyword": "crm software",
  "dataStatus": "ok",
  "searchVolume": 201000,
  "monthlySearches": [
    {
      "month": "2022-10",
      "year": 2022,
      "monthNumber": 10,
      "searches": 33100
    },
    {
      "month": "2022-11",
      "year": 2022,
      "monthNumber": 11,
      "searches": 33100
    },
    {
      "...": "46 more months"
    }
  ],
  "monthsWithData": 48,
  "missingMonths": [],
  "competition": "LOW",
  "competitionIndex": 4,
  "cpc": 37.13,
  "lowTopOfPageBid": 7.14,
  "highTopOfPageBid": 51.57,
  "currency": "USD",
  "history": {
    "basis": "google_ads",
    "firstMonth": "2022-10",
    "lastMonth": "2026-09",
    "monthsCovered": 48,
    "monthsWithData": 48,
    "totalSearches": 4972000,
    "averageMonthlySearches": 103583,
    "highestMonth": {
      "month": "2026-05",
      "searches": 550000
    },
    "lowestMonth": {
      "month": "2022-12",
      "searches": 27100
    },
    "yearlyTotals": [
      {
        "year": 2023,
        "searches": 489200,
        "monthsWithData": 12,
        "fullYear": true
      },
      {
        "year": 2024,
        "searches": 780000,
        "monthsWithData": 12,
        "fullYear": true
      },
      {
        "year": 2025,
        "searches": 1468500,
        "monthsWithData": 12,
        "fullYear": true
      },
      {
        "...": "2022 and 2026 (part years)"
      }
    ],
    "firstFullYear": 2023,
    "lastFullYear": 2025,
    "fullYearChangePct": 200.2,
    "compoundAnnualGrowthPct": 73.3
  },
  "trend": {
    "latestMonth": "2026-09",
    "latestSearches": 550000,
    "momChangePct": 173.6,
    "yoyChangePct": 93.1,
    "last12MonthsTotal": 2506500,
    "previous12MonthsTotal": 1298000,
    "last3MonthsVsYearBeforePct": 118.9,
    "qoqChangePct": 5.1,
    "direction": "growing"
  },
  "extendedMonthlySearches": [
    {
      "month": "2018-11",
      "year": 2018,
      "monthNumber": 11,
      "searches": 22200,
      "source": "labs"
    },
    {
      "...": "46 more Labs months, then the 48 Google Ads months"
    }
  ],
  "extendedMissingMonths": [],
  "extendedHistory": {
    "basis": "labs_then_google_ads",
    "firstMonth": "2018-11",
    "lastMonth": "2026-09",
    "monthsCovered": 95,
    "monthsWithData": 95,
    "totalSearches": 6408100,
    "averageMonthlySearches": 67454,
    "highestMonth": {
      "month": "2026-05",
      "searches": 550000
    },
    "lowestMonth": {
      "month": "2018-11",
      "searches": 22200
    },
    "yearlyTotals": [
      {
        "...": "2018 to 2026, one entry a year"
      }
    ],
    "firstFullYear": 2019,
    "lastFullYear": 2025,
    "fullYearChangePct": 311.8,
    "compoundAnnualGrowthPct": 26.6
  },
  "extendedHistoryNote": "The months before the 48 months Google Ads keeps come from the DataForSEO Labs keyword database (copied monthly from Google Ads; months older than about 2 years can differ from what Google Ads showed then). Each month names its source.",
  "metricsHistory": [
    {
      "...": "60 earlier monthly snapshots, from 2021-08"
    },
    {
      "month": "2026-08",
      "searchVolume": 165000,
      "cpc": 38.64,
      "competition": 0.08,
      "competitionLevel": "LOW",
      "lowTopOfPageBid": 6.18,
      "highTopOfPageBid": 51.72
    },
    {
      "month": "2026-09",
      "searchVolume": 201000,
      "cpc": 37.13,
      "competition": 0.04,
      "competitionLevel": "LOW",
      "lowTopOfPageBid": 7.14,
      "highTopOfPageBid": 51.57
    }
  ],
  "metricsHistoryFrom": "2021-08",
  "metricsHistoryMissingMonths": [],
  "metricsHistorySummary": {
    "snapshots": 62,
    "firstCpc": {
      "month": "2021-08",
      "cpc": 22.580321
    },
    "latestCpc": {
      "month": "2026-09",
      "cpc": 37.13
    },
    "cpcChangePct": 64.4,
    "highestCpc": {
      "month": "2023-09",
      "cpc": 124.65
    },
    "lowestCpc": {
      "month": "2024-08",
      "cpc": 20.94
    },
    "firstCompetition": {
      "month": "2021-08",
      "competition": 0.63
    },
    "latestCompetition": {
      "month": "2026-09",
      "competition": 0.04
    }
  },
  "metricsHistorySource": "DataForSEO Labs historical keyword data (monthly snapshots of the Google Ads keyword metrics, from mid 2021 on)",
  "metricsHistoryLocation": "United States",
  "metricsHistoryLanguage": "en",
  "locationCode": 2840,
  "locationName": "United States",
  "countryCode": "US",
  "dateFrom": "2022-10",
  "dateTo": "2026-09",
  "source": "Google Ads (Keyword Planner data through DataForSEO)",
  "dataAsOf": "2026-10-15",
  "retrievedAt": "2026-10-19T22:35:56.874Z",
  "fromMemory": false,
  "lookupId": "r0f978c35051ff9a97981",
  "speedUsed": "slow"
}

FAQ

Is there a way to see the historical Google search volume of a keyword?

Yes. Every row carries the monthly searches of the last 48 months that Google Ads keeps, oldest first, with a total for every calendar year. With the long history add-on the row also carries about 8 years of months, back to about October 2018, each month naming its source.

How far back does keyword search volume history go?

Google Ads keeps 48 months, and the current month is never available (Google publishes a month after it ends). The DataForSEO Labs keyword database adds the older months back to about 2018-10 for the keywords it holds; the metrics history goes back to mid 2021.

How can I see historical CPC and competition for a keyword?

Turn on the metrics history add-on: metricsHistory lists the CPC, competition, competition level and top of page bids of every monthly snapshot since mid 2021, and metricsHistorySummary gives the first and latest CPC, the change in percent and the highest and lowest CPC month.

Do I get exact monthly search volumes or ranges like 1K to 10K?

Exact figures as Google Ads reports them to advertisers, for every month of the window, not the ranges Keyword Planner shows to accounts without ad spend. Google rounds its figures (for example 49,500 or 60,500).

Why does the search volume of a month stay the same across months?

Google Ads rounds its figures into steps (27,100, 33,100, 40,500 and so on), so a keyword whose demand moves a little shows the same figure for several months; it also gives one figure to close variants (plurals, word order), listed in closeVariants.

Why does this Actor run with limited permissions?

Least privilege: it reads only its input and writes its own dataset and key-value store. The 30 day memory is a named key-value store it creates in your account under the name you choose.

What this Actor does NOT do

• It does not forecast. History figures, seasonality and plan ranks describe past searches; the next year can differ.
• No Google Ads month older than 48 months: the older months come only from the Labs database, with the long history add-on, labelled labs, and they can differ from what Google Ads showed then.
• No metrics history before mid 2021, and none in the memory (a row from the memory comes without it).
• The long series is not built for a window you shortened, for a region or city row, or with search partners on; the CSV file holds the Google Ads months only (the dataset holds the long series).
• No current month: Google Ads publishes a month after it ends, usually around the middle of the next month.
• No data for keywords Google has too few searches for, or that it does not report (some restricted topics): those are free rows with dataStatus no_data.
• It does not say what a product is. Words found in keywords are demand, never product attributes.
• Not split by device, and no click or impression forecasts.
• Bing figures only for Australia, Canada, France, Germany, the United Kingdom and the United States (and their regions and cities), in English, French or German; no Bing only runs.
• No intent classifier of its own: search intent comes from the Labs database with the insights add-on.
• The Labs add-ons cover whole countries in the languages the Labs database lists, and leave out keywords it does not hold (a free omission, not charged).
• No backlinks, domain overviews, competitor domain discovery or competitor traffic reports, no Semrush scores, no Google Trends index, and no use of your own Google Ads or DataForSEO account.
• No Standby (always on) HTTP mode: every lookup buys a data request that costs the same whatever it finds, so each call would need a fee of its own of about $0.25 or more; the run sync endpoint below gives the same rows in one HTTP response.
• Postal code locations are not offered (Google Ads returns no data for them).

Use it through the API

The Actor works through the Apify API, as a scheduled job, and from Make, n8n or Zapier. The run sync endpoint returns the rows in the same HTTP response, which makes it a keyword search volume history API:

curl -X POST "https://api.apify.com/v2/acts/automation_craft~keyword-search-volume-history/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["crm software", "iphone"], "locations": ["United States"], "includeInsights": true, "includeMetricsHistory": true}'

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('automation_craft/keyword-search-volume-history').call({ keywords: ['crm software'], locations: ['United States'], includeInsights: true });
const { items } = await client.dataset(run.defaultDatasetId).listItems();

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("automation_craft/keyword-search-volume-history").call(run_input={"keywords": ["crm software"], "locations": ["United States"], "includeMetricsHistory": True})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Changelog

• 0.1 (2026-10-19): first release.
• 0.1 (2026-10-21): a run the platform restarted counts the rows and charged events of the whole run in its summary, every add-on included, and reports partial with a note (never complete or no_results); the summary gains rowCountsCover. The free row of an add-on that was not bought names why and what to do.

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