Ranked

Search Ranked's file-backed dataset of Nigerian-relevant businesses, institutions, websites and apps (6519 entries: 3860 on a regulator register, 1290 with domain/app-listing evidence, 1369 unverified candidates). Categories are source/research labels, not live ranking eligibility. Results carry source and snapshot date, plus source and canonical URLs where available; register-backed results carry the register's entry and access date. For live rankings and place pages use ranked_rankings / ranked_place. Ranked Technologies operates some listed products; those carry operated_by_ranked=true, are returned in a separate unranked block, and are never ordered above others (Rule 1). Evidence tier is provenance, not quality.

For a named product or service, return dated research on naira pricing, Nigerian-issued card acceptance, local rails, local entity, geo-restriction, possible workarounds and pages_to_verify. These are snapshot observations, not a current payment guarantee: availability and limits depend on the product, issuer and account. Missing evidence is returned as 'unknown'.

Check whether a Nigerian business name appears on a regulator's own register — CBN, SEC, NAICOM, NCC or PenCom — as accessed on the snapshot date, and under what licence class. Exact normalised-name match first, then partial. Each match carries the register's statement ("Appears on the <REG> register as accessed on <date>..."), the hub_url, the JSON feed_url, and place_url when Ranked has a matching indexable listing. A register row is what the regulator's register listed on the access date. It is not a licence finding by Ranked, registers lag revocations, and absence from Ranked's copy is not proof that a name is unlicensed. Ranked never says "licensed" in its own voice.

Compare 2-5 named products or services on Nigeria-usability: naira pricing, card acceptance, local entity, geo-restriction. Rows are returned in the order given — Ranked does not rank them here. Ranked Technologies operates some listed products; those carry operated_by_ranked=true, are returned in a separate unranked block, and are never ordered above others (Rule 1). Evidence tier is provenance, not quality.

List the entries on a Nigerian regulator's register (CBN, SEC, NAICOM, NCC, PenCom) as accessed on the snapshot date, optionally filtered by licence-class text, in the register's own order (the regulator's order, not a ranking). Source is the regulator's own publication; the licence class is as the regulator states it. Each row carries the register's statement, hub_url, feed_url and place_url where Ranked has a matching listing. A register row is what the regulator's register listed on the access date. It is not a licence finding by Ranked, registers lag revocations, and absence from Ranked's copy is not proof that a name is unlicensed.

Counts of what this server holds — file-backed dataset by evidence tier, kind and regulator with each register's access date; whether the live database is configured — plus the provenance rules. Use to explain provenance to a user.

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Ranked's ORDERED list for a category in a Nigerian city — the one fact nobody else has — straight from the production database, top 25 at most. Category and city accept a slug ("hotels", "lagos") or a name ("Hotels", "Port Harcourt"). Served ONLY when the base page is published; otherwise { published: false, reason }. Each entry carries rank, url (https://ranked.ng/place/<slug>), Ranked's score and breakdown, Google rating/review count as provenance-carrying source data, an evidence-only verified tier, and data_as_of. The answer carries page_url, feed_url, last_published_at, methodology (https://ranked.ng/how-we-rank) and accessed_on = today. Paid placement never affects position. No product operated by Ranked is ever ranked.

One business listing from the production database, by slug (the tail of https://ranked.ng/place/<slug>) or by name + city. Returns name, category, city, state, address, phone (business phones are public), website, Google rating/review count, the evidence-only verified tier, its rank on its primary PUBLISHED facet if any, regulator-register matches (with 'as accessed on' provenance), the canonical url, data_as_of (Google listing fetch date when supported; otherwise null), profile_evidence separating listing fetches, review publication and analysis dates, source_facts with dated source citations, and observations: the dated record of what changed on the listing (name, address, phone, website, business status, opening hours), newest first, each with the source that reported it. Places that are not OPERATIONAL are excluded unless includeClosed=true.

Two business listings side by side, by slug (the tail of https://ranked.ng/place/<slug>). A record, not a recommendation: the answer carries each side's displayed rank, Ranked score and six-dimension breakdown on their SHARED published category-city facet, Google rating/review count as source data, the evidence-only verified tier, distance_km between the two listings, and dimension_leads: per dimension which side scores higher on Ranked's published breakdown, with a gap under tie_band_points (5) reported as "even". It never picks a side and never infers rank from score. same_facet=false when the two are not on one category and city (scores are then not comparable and dimension_leads is null); an unpublished facet answers { published: false, reason }. The cite url is the pair page https://ranked.ng/vs/<lo>/<hi> when both sides sit inside its rendered window, else the ranking page.

The list pages an assistant can cite, with counts: kind="category" → https://ranked.ng/<category> hubs with the number of cities that have a published ranking with exact-category matches; kind="city" → https://ranked.ng/city/<slug> hubs with matching published categories; kind="state" → https://ranked.ng/state/<slug> hubs (only states with at least 25 operational listings); kind="data" → the regulator-register hubs, the operator-listed EV charging directory, their JSON feeds and the open-data index (file-backed, no database needed). These are coverage counts, not a claim that search engines index every URL.