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JPMorgan Chase — Profile Report cover

API Evangelist Paper · Profile Report

JPMorgan Chase — Profile Report

What JPMorgan Chase is actually buying, read from 7,799 of its own job postings — and what its API surface says back.

$1,500.00 Version 1.0 · July 2026
picture_as_pdf Formatted PDF, ~30 pages
description Editable Microsoft Word (.docx)
database The AI data bundle — every provider, scored (JSON/CSV/YAML)
update Free updates to this report, for life
lock Secure checkout via Stripe
How this report was made. This report is generated using artificial intelligence, from open-source data, scored on the public Kin Score rubric, and every company in it is named and banded rather than cherry-picked. If anything in it is wrong, tell me and it is corrected in the next version — and if it was not worth what you paid, I will refund it. Read how the reports are produced →

About this report

JPMorgan Chase is one of the heaviest technology buyers in the Fortune 1000. Its own job postings put it 3rd of 932 companies on AI investment and 4th on Data — 11.4× and 6.0× the respective medians — and name 546 distinct technologies at high confidence across 7,799 postings.

This report reads that demand the way a machine reads it, and then reads what the company publishes back to the world as an API surface, scored on the same rubric applied to Stripe. Written for one reader: the go-to-market team at a software vendor selling into this account.

Every technology carries the number of the account’s own postings it was found in and the term it matched on, so any claim in the report can be checked — or discarded — rather than taken on faith. The complete machine-readable data bundle ships alongside the narrative: drop the folder into the AI tool of your choice and interrogate the research you purchased.

What's inside

  1. Executive summary — a top-percentile buyer and what its interface says back
  2. What this account is buying — all 41 investment dimensions vs the Fortune 1000
  3. The incumbents, the distinctive choices, and the stack broken out by kind
  4. Where the gaps are — whitespace verified against the full corpus
  5. The org map — business unit, function, location, platform affinity
  6. The peer cohort — 46 banking peers, re-extracted under identical rules
  7. The supply side — every published spec, facet by facet, dimension by dimension
  8. What the account publishes about itself — 442 documents of its own words
  9. The openings — entry points, displacement targets, and discovery questions

database Includes the AI data bundle

This report ships with a machine-readable data bundle — the evidence behind every number, packaged to drop straight into the AI tool of your choice. Converse with the research you bought, check any claim against the source data, and take it further than the PDF.

data_object providers.json / .csv / .yaml — every provider, layered raw → enriched → derived
table_rows scores.csv & rankings.csv — facet-by-facet scores, composite vs. agent-readiness rank
insights market-stats.json & capabilities.json — sector averages, band distribution, per-provider artifact inventory
forum AI-START-HERE + data dictionary, methodology & prompts — a paste-in primer so your AI reads it correctly

folder_zip Delivered as a single ZIP alongside the PDF and Word edition at checkout.

What you get for $1,500.00

picture_as_pdf A print-ready, formatted PDF edition
description The editable Word (.docx) source
database The AI data bundle — every provider scored, as JSON/CSV/YAML
forum An AI conversation primer so you can query the research directly
checklist The anti-patterns & self-assessment checklist
update Every future revision of this living report
$1,500.00 PDF + Word + AI data bundle (ZIP), instant download

These reports are experience-based and vendor-neutral, distilled from the API Evangelist research at apievangelist.com. Questions before buying? [email protected].

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