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How Riveter’s scores are calculated

The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.

verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10

PA Score22/100

Agent-ready 28.7 × 0.30 = 8.61

API quality 2.4 × 0.20 = 0.48

Openness 6.0 × 0.20 = 1.20

Built-in AI 41.8 × 0.15 = 6.27

Automation 38.0 × 0.15 = 5.70

(8.61 + 0.48 + 1.20 + 6.27 + 5.70) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 22.26 ÷ 1.00 = 22.3

Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.

Agent-ready28.7/100×0.30 of the PA blend

Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.

Point an agent at llms.txt or agent-oriented docsweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://docs.riveterhq.com/llms.txtPROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt
  • [probe] https://docs.riveterhq.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)

Run the product headlessly / in CI for automationweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://docs.riveterhq.comPass webhook_url in the JSON body when starting a run and Riveter POSTs the full results to your URL when it finishes (events: run.completed, run.stopped, run.finished).
  • [claimed-docs] https://docs.riveterhq.comdry_run: true — validate the request and return a credit estimate without creating or charging anything.
  • [claimed-docs] https://docs.riveterhq.commax_credits — a ceiling. When the estimate's maximum exceeds it, the request is refused with 422 credit_cap_exceeded and nothing is charged.
  • [claimed-docs] https://docs.riveterhq.comthe SDKs handle auth, retries (429s and transient GET failures), the wait long-poll, polling until a run finishes (wait_for_result), and pagination
  • [claimed-docs] https://github.com/riveterhq/riveter-gorun, err := client.Enrich(ctx, riveter.EnrichParams{ Prompt: "Research each company", Attributes: []string{"CEO", "Employee Count"},
  • [claimed-docs] https://www.riveterhq.comSchedule any project to monitor for changes and keep your data fresh.

Plug MCP servers into this product so it can use their toolsweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

  • [claimed-docs] https://docs.riveterhq.comUse Riveter from Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant. Pick one of the two ways to connect.
  • [claimed-docs] https://docs.riveterhq.comRuns on your machine and needs Node.js and an API key. Use it when your client cannot reach remote servers.

Connect an agent via an official MCP serverweight 3

3 (weight) × 7 (quality) × 1.0 (full) = 21.0 of 30 max

  • [claimed-docs] https://docs.riveterhq.comUse Riveter from Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant. Pick one of the two ways to connect.
  • [claimed-docs] https://docs.riveterhq.comRuns on your machine and needs Node.js and an API key. Use it when your client cannot reach remote servers.

Use an official CLIweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [claimed-docs] https://docs.riveterhq.comUse Riveter from Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant. Pick one of the two ways to connect.
  • [claimed-docs] https://docs.riveterhq.comRuns on your machine and needs Node.js and an API key. Use it when your client cannot reach remote servers.
  • [claimed-docs] https://docs.riveterhq.comthe SDKs handle auth, retries (429s and transient GET failures), the wait long-poll, polling until a run finishes (wait_for_result), and pagination
  • [claimed-docs] https://github.com/riveterhq/riveter-gorun, err := client.Enrich(ctx, riveter.EnrichParams{ Prompt: "Research each company", Attributes: []string{"CEO", "Employee Count"},

Drive the product through a documented public APIweight 3

3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max

  • [claimed-docs] https://docs.riveterhq.comPass webhook_url in the JSON body when starting a run and Riveter POSTs the full results to your URL when it finishes (events: run.completed, run.stopped, run.finished).
  • [claimed-docs] https://docs.riveterhq.comdry_run: true — validate the request and return a credit estimate without creating or charging anything.
  • [claimed-docs] https://docs.riveterhq.commax_credits — a ceiling. When the estimate's maximum exceeds it, the request is refused with 422 credit_cap_exceeded and nothing is charged.
  • [claimed-docs] https://docs.riveterhq.comthe SDKs handle auth, retries (429s and transient GET failures), the wait long-poll, polling until a run finishes (wait_for_result), and pagination
  • [claimed-docs] https://github.com/riveterhq/riveter-gorun, err := client.Enrich(ctx, riveter.EnrichParams{ Prompt: "Research each company", Attributes: []string{"CEO", "Employee Count"},
  • [claimed-docs] https://docs.riveterhq.comUse Riveter from Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant. Pick one of the two ways to connect.
  • [probe] https://docs.riveterhq.com/llms.txtPROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt
  • [probe] https://docs.riveterhq.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)

Issue scoped/least-privilege API credentials for an agentweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Build against official SDKsweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

  • [claimed-docs] https://docs.riveterhq.comthe SDKs handle auth, retries (429s and transient GET failures), the wait long-poll, polling until a run finishes (wait_for_result), and pagination
  • [claimed-docs] https://github.com/riveterhq/riveter-gorun, err := client.Enrich(ctx, riveter.EnrichParams{ Prompt: "Research each company", Attributes: []string{"CEO", "Employee Count"},

Subscribe to events via webhooksweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://docs.riveterhq.comPass webhook_url in the JSON body when starting a run and Riveter POSTs the full results to your URL when it finishes (events: run.completed, run.stopped, run.finished).

Agent-ready = 60.2 ÷ 210 × 100 = 28.7

API quality2.4/100×0.20 of the PA blend

The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.

Explore an interactive API reference with runnable examplesweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://docs.riveterhq.com/llms.txtPROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt
  • [probe] https://docs.riveterhq.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)

Download a machine-readable API spec (OpenAPI or equivalent)weight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://docs.riveterhq.com/llms.txtPROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt
  • [probe] https://docs.riveterhq.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)

Test against a sandbox environment without touching production dataweight 1

1 (weight) × 4 (quality) × 0.6 (partial) = 2.4 of 10 max

  • [claimed-docs] https://docs.riveterhq.comdry_run: true — validate the request and return a credit estimate without creating or charging anything.
  • [claimed-docs] https://docs.riveterhq.commax_credits — a ceiling. When the estimate's maximum exceeds it, the request is refused with 422 credit_cap_exceeded and nothing is charged.

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://docs.riveterhq.com/llms.txtPROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt
  • [probe] https://docs.riveterhq.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)

The documented rate limit (requests per second or minute) enforced on my API key before throttling kicks inweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

  • [claimed-docs] https://docs.riveterhq.comthe SDKs handle auth, retries (429s and transient GET failures), the wait long-poll, polling until a run finishes (wait_for_result), and pagination
  • [probe] https://docs.riveterhq.com/llms.txtPROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt
  • [probe] https://docs.riveterhq.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)

API quality = 2.4 ÷ 100 × 100 = 2.4

Openness6.0/100×0.20 of the PA blend

Can you leave, inspect, or self-host — data export, open source, portability.

Do everything through the API that I can do in the UIweight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [claimed-docs] https://docs.riveterhq.comYou can build one from a natural-language prompt or a structured spec, and Riveter will generate the rows for you.
  • [claimed-docs] https://docs.riveterhq.comA scrape lets you turn a URL into easily parseable text.
  • [claimed-docs] https://docs.riveterhq.comA quick_search lets you quickly web search a query, and pull structured results with urls, titles, and snippets — synchronously, in one request.
  • [claimed-docs] https://docs.riveterhq.comA search_agent call asks one question and gets one AI-researched answer back — the same agent loop that fills a single enrichment cell, without setting up an enrichment.
  • [claimed-docs] https://docs.riveterhq.comPass webhook_url in the JSON body when starting a run and Riveter POSTs the full results to your URL when it finishes (events: run.completed, run.stopped, run.finished).
  • [claimed-docs] https://docs.riveterhq.comdry_run: true — validate the request and return a credit estimate without creating or charging anything.
  • [claimed-docs] https://www.riveterhq.comSchedule any project to monitor for changes and keep your data fresh.
  • [claimed-docs] https://www.riveterhq.comFor fast moving data like scores or election results, you can refresh as often as every minute.
  • [probe] https://docs.riveterhq.com/llms.txtPROBE llms.txt: HTTP 404 at https://docs.riveterhq.com/llms.txt
  • [probe] https://docs.riveterhq.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.riveterhq.com/openapi.json, https://docs.riveterhq.com/swagger.json, https://docs.riveterhq.com/api/openapi.json, https://docs.riveterhq.com/.well-known/openapi.json)

Export all of my data in open formats and leaveweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Read the product's source under an open licenseweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Self-host the core productweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

  • [claimed-docs] https://docs.riveterhq.comUse Riveter from Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant. Pick one of the two ways to connect.
  • [claimed-docs] https://docs.riveterhq.comRuns on your machine and needs Node.js and an API key. Use it when your client cannot reach remote servers.

Openness = 6.0 ÷ 100 × 100 = 6.0

Built-in AI41.8/100×0.15 of the PA blend

Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.

Get AI-generated insights and suggestions from my data inside the productweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

  • [claimed-docs] https://docs.riveterhq.comAn enrichment takes rows of input data and fills in new columns using AI, web searches, web scrapes, and other tools.
  • [claimed-docs] https://docs.riveterhq.comYou can build one from a natural-language prompt or a structured spec, and Riveter will generate the rows for you.
  • [claimed-docs] https://docs.riveterhq.comA search_agent call asks one question and gets one AI-researched answer back — the same agent loop that fills a single enrichment cell, without setting up an enrichment.
  • [claimed-docs] https://www.riveterhq.comRiveter uses AI agents that interpret pages the way a person would, so the same configuration keeps working after a redesign.
  • [claimed-docs] https://www.riveterhq.comIt reads PDFs and images, calls third party APIs as part of a workflow, and combines those results with data pulled from the web in a single output.

Set up automations that run autonomously in the backgroundweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://www.riveterhq.comSchedule any project to monitor for changes and keep your data fresh.
  • [claimed-docs] https://www.riveterhq.comFor fast moving data like scores or election results, you can refresh as often as every minute.
  • [claimed-docs] https://docs.riveterhq.comPass webhook_url in the JSON body when starting a run and Riveter POSTs the full results to your URL when it finishes (events: run.completed, run.stopped, run.finished).

Delegate tasks to a built-in AI assistant inside the productweight 3

3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max

  • [claimed-docs] https://docs.riveterhq.comAn enrichment takes rows of input data and fills in new columns using AI, web searches, web scrapes, and other tools.
  • [claimed-docs] https://docs.riveterhq.comA search_agent call asks one question and gets one AI-researched answer back — the same agent loop that fills a single enrichment cell, without setting up an enrichment.
  • [claimed-docs] https://www.riveterhq.comRiveter uses AI agents that interpret pages the way a person would, so the same configuration keeps working after a redesign.
  • [claimed-docs] https://www.riveterhq.comIt reads PDFs and images, calls third party APIs as part of a workflow, and combines those results with data pulled from the web in a single output.

Operate the product with natural-language commandsweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

  • [claimed-docs] https://docs.riveterhq.comYou can build one from a natural-language prompt or a structured spec, and Riveter will generate the rows for you.
  • [claimed-docs] https://docs.riveterhq.comA search_agent call asks one question and gets one AI-researched answer back — the same agent loop that fills a single enrichment cell, without setting up an enrichment.
  • [claimed-docs] https://docs.riveterhq.comUse Riveter from Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant. Pick one of the two ways to connect.
  • [claimed-docs] https://github.com/riveterhq/riveter-gorun, err := client.Enrich(ctx, riveter.EnrichParams{ Prompt: "Research each company", Attributes: []string{"CEO", "Employee Count"},

Apply a preset configuration tuned for research agents that returns structured, citable outputweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Built-in AI = 46.0 ÷ 110 × 100 = 41.8

Automation38.0/100×0.15 of the PA blend

Depth of automation primitives — rules, scheduling, bulk operations, webhooks.

Perform bulk operations across many items at onceweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://docs.riveterhq.comAn enrichment takes rows of input data and fills in new columns using AI, web searches, web scrapes, and other tools.
  • [claimed-docs] https://docs.riveterhq.comYou can build one from a natural-language prompt or a structured spec, and Riveter will generate the rows for you.
  • [claimed-docs] https://www.riveterhq.comSchedule any project to monitor for changes and keep your data fresh.
  • [claimed-docs] https://www.riveterhq.comIt can find every dental practice in a city, then pull every dentist from each one, in a single request.
  • [claimed-docs] https://www.riveterhq.comFor fast moving data like scores or election results, you can refresh as often as every minute.
  • [claimed-docs] https://www.riveterhq.comIt reads PDFs and images, calls third party APIs as part of a workflow, and combines those results with data pulled from the web in a single output.

Define rules that trigger actions automatically on eventsweight 3

3 (weight) × 4 (quality) × 0.6 (partial) = 7.2 of 30 max

  • [claimed-docs] https://docs.riveterhq.comPass webhook_url in the JSON body when starting a run and Riveter POSTs the full results to your URL when it finishes (events: run.completed, run.stopped, run.finished).
  • [claimed-docs] https://www.riveterhq.comSchedule any project to monitor for changes and keep your data fresh.
  • [claimed-docs] https://www.riveterhq.comFor fast moving data like scores or election results, you can refresh as often as every minute.

Schedule recurring jobs or workflowsweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://www.riveterhq.comSchedule any project to monitor for changes and keep your data fresh.
  • [claimed-docs] https://www.riveterhq.comFor fast moving data like scores or election results, you can refresh as often as every minute.

Version, review, and roll back my automationsweight 1

1 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 10 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Automation = 30.4 ÷ 80 × 100 = 38.0