What does this company do, and how big is it?

Q: What does this company do, and how big is it?

the brief, the headcount by department, the technologies enrich .com with apollo on monid and give me the industry, headcount, location and description. read the whole response before you call anything else: it carries more than the brief the brief: 2,600 staff, the industry, a San Francisco HQ, founded 2014, market cap $8.3B and more: the same payload carries the departmental headcount and a 240-item technology list what that means: one call answers three of the six jobs on this page the disagreement: the structured headcount says 2,600 while the prose in the same response says about 2,375, and on a second company a round's own description said total funding reached $130M while the rows beside it summed to $175.1M what the description promises and omits: the endpoint's own summary says it returns funding history and the payload carries no funding field at all; a second company's response was 53 KB with none

Fundable APIs

Brief me on this company

Say this to your agent

>enrich <company>.com with apollo on monid and give me the industry, headcount, location and description. read the whole response before you call anything else: it carries more than the brief

What the agent runsdone

apollo /organizations/enrich$0.0260 markup

the-companies-api /enrich_company_from_domain · not run$0.010 markup

context.dev /brand/retrieve · not run$0.025330 markup

clay /enrichment/company-employee-count · not run$0.0320 markup

pdl /v5/company/enrich · not run$0.100 markup

akta /v1/company/enrichment · not run$0.025 / result0 markup

What came backone public company · 2026-09-24

What one $0.05 call returnedjobs answered

the briefincluded

departmentsincluded

their stackincluded

tech detector$0.0356

the brief2,600 staff, the industry, a San Francisco HQ, founded 2014, market cap $8.3B

and morethe same payload carries the departmental headcount and a 240-item technology list

what that meansone call answers three of the six jobs on this page

the disagreementthe structured headcount says 2,600 while the prose in the same response says about 2,375, and on a second company a round's own description said total funding reached $130M while the rows beside it summed to $175.1M

what the description promises and omitsthe endpoint's own summary says it returns funding history and the payload carries no funding field at all; a second company's response was 53 KB with none

$0.05per company

Who works there, by department

Say this to your agent

>from the enrichment response for <company>.com, give me the departmental headcount sorted by size. do not make a second call: it is already in what you paid for

What the agent runsdone

apollo /organizations/enrich$0.0260 markup

hunterio /discover/people · not run$0.000 markup

clay /enrichment/company-employee-count · not run$0.0320 markup

ploid /linkedin/company · not run$0.010 markup

What came backone public company · 2026-09-24

Headcount by departmentpeople

engineering965

sales372

support258

HR196

finance161

the shape965 in engineering against 372 in sales, so this is a product company, not a sales-led one

the tailsupport 258, HR 196, finance 161, and a dozen smaller functions

what it costnothing, because it arrived inside the enrichment call

the habita second endpoint for this would have been $0.10 and told you less

$0.00already in the brief

What technology they use

Say this to your agent

>list the technologies <company>.com uses from the enrichment response. do not add a dedicated detector on top: it is a second charge for a shorter list, and on our runs it returned five signals against three hundred

What the agent runsdone

apollo /organizations/enrich$0.0260 markup

api.strale.io /x402/tech-stack-detect$0.035640 markup

context.dev /brand/retrieve · not run$0.025330 markup

What came backone public company · 2026-09-24

the deep listmore than 240 tools, from cloud infrastructure to HR, sales and security systems

the detector$0.0356 for five signals it read off the public HTML: a CDN, analytics, a framework and two marketing tags

why the gapone reads a company record, the other reads one page's source

it is not dearer, it is redundantthe detector is $0.0356 against the enrichment call's $0.05, so it is cheaper per call; the point is that you already paid for a list sixty times longer, so running it is a second charge for a worse answer

and it can be wrongon a marketing-automation company the detector reported no marketing automation, because it is reading one page's headers rather than a company record

$0.00already in the brief

Funding history and investors

Say this to your agent

>get the funding history for <company>.com with fundable on monid using company/search then company: two calls, a cent and six cents. do not reach for the endpoint that takes the domain in one call, it is priced per result with a page size of ten and bills six times as much for the same rounds

What the agent runsdone

fundable /company$0.06

fundable /company/search$0.01

crunchbase /get_company_funding_rounds$0.020 markup

crunchbase /search_organizations$0.020 markup

surf /fund/portfolio · not run$0.0060 markup

What came backone public company · 2026-09-24

the history7 rounds and 23 investors, $432M raised in total

the latesta dated $195M secondary sale at a $6B valuation, with the buyers named

the failurethe other provider's funding endpoint 502'd twice and billed nothing; the catalog had already flagged it degraded

the shortcut that costs 6xa sibling takes the domain directly with no lookup, which looks like the cheap route; it is priced per result with a silent page size of ten and billed $0.42 for the same seven rounds

and then the investorsthat sibling returns investors as bare ids, so resolving the names the sentence asks for is another call per round; the honest budget on that route is eight calls and $0.84 against $0.07 on this one

three of five are per resulton this provider only the lookup and the company call are per call; the deals, companies and rounds endpoints all multiply by the page size you did not set

$0.07lookup plus history

What happened in the last 30 days

Say this to your agent

>search news for <company> in the last 30 days with context.dev on monid, passing the dates as epoch milliseconds rather than as date strings, and group the rows by story_id before you count them: ten rows is usually fewer stories, and most of them are press releases

What the agent runsdone

context.dev /news/search$0.000253 / result0 markup

surf /project/ai-news · not run$0.0120 markup

akta /v1/news · not run$0.0005 / result0 markup

apollo /news_articles/search · not run$0.0260 markup

What came backone public company · 2026-09-24

the setten real articles across a 30-day window, with more available behind a flag

the one that mattersa maximum-severity vulnerability covered by two outlets, next to a routine product release

the price$0.0009 for the whole set, the cheapest job on this page by a wide margin

the duplicatethe same press release came back twice under two tracking urls, and both count as results; on a second company ten rows were five distinct stories and eight of the ten were press releases

the date formatthis endpoint wants epoch milliseconds, so a plain date string is rejected before the call is made, which costs nothing but stops the job

and the filter leakstwo rows came back with a null published date despite a published-after filter being set

$0.0009ten results

Companies that look like them

Say this to your agent

>find companies like <company> with apollo on monid using its industry keywords and headcount range, then read the breadcrumbs field back to me. the keyword filter is an OR, the subject appears in its own results, and the rows carry no industry or headcount, so tell me what you cannot filter rather than pretending to clean the list

What the agent runsdone

apollo /mixed_companies/search$0.0260 markup

blockrun.ai /api/v1/exa/find-similar$0.01210 markup

the-companies-api /search_industries · not run$0.010 markup

pdl /v5/company/search · not run$0.10 / result0 markup

What came backone public company · 2026-09-24

the set663 matches, with real peers on the first page

the noisethe subject came back inside its own lookalike list; on a second company it was the fourth result, beside five staffing and jobs firms and a car maker, an airport and a newspaper, with three of twenty-five usable

the wrong toolthe semantic-similarity endpoint billed $0.0121 and returned ten more pages of the subject's own website

the cause is in the responsethe breadcrumbs field says the keyword filter is an ANY match, so one shared word is enough to pull a company in, and nothing in the request suggests that

you cannot clean it from these rowsthe results carry no industry, no headcount and no location, so filtering out staffing firms means enriching every row at $0.05 each, which is more than the search cost

the lessonsimilar pages and similar companies are different questions; the description was accurate, the fit was not

$0.05per search, 663 matches

Fundable

How-to guide

Set up Monid.

Pick what you need. Say it in one sentence.

Brief me on this company

Who works there, by department

What technology they use

Funding history and investors

What happened in the last 30 days

Companies that look like them

Read more

Apollo, ZoomInfo and the alternatives

Cheapest source first, then fall through

Extract page content for RAG