Truth Finder · AI Narrative & Misinformation Analysis
Analyze narratives and detect misinformation patterns in content using AI classification.
What it does
Analyze narratives and detect misinformation patterns in content using AI classification.
- Fact-check viral content before amplification
- Assess information credibility for research purposes
- Monitor narrative manipulation in news cycles
- Build content moderation systems with AI scoring
Ideal buyer
Fact-checking organizations, researchers, and platforms combating misinformation at scale.
Run this through your governed agent wallet.
- 01Bootstrap AXON once with
npx @axon402/init. - 02Use the AXON runtime MCP tools to
search_x402_servicesorinspect_x402_offerfor this service. - 03Quote, test-buy, then run the governed paid fetch through AXON.
Send this
Prompt for your agent
A natural-language instruction for your LLM agent — with this endpoint exposed as a tool — to call this resource. Not sent to the endpoint; the endpoint consumes the JSON body below.
Pasting this prompt into a raw ChatGPT or unconfigured agent will notexecute the paid endpoint flow. Run it through an agent with the AXON runtime / MCP tools exposed (see “Use with AXON” above) so the 402 challenge, quote, and governed fetch are handled for you.
“Analyze this news article for misinformation indicators and narrative manipulation techniques.”
Endpoint request body
The JSON payload your agent sends to the endpoint.
Advanced HTTP details
For integrators who need the raw protocol surface. Most agents should use AXON above instead of calling these directly.
curl fallback
curl https://v7i2mkwire.ap-southeast-1.awsapprunner.com/truth-finder \ -H "Content-Type: application/json" \ -H "X-PAYMENT: [signed_payment_envelope]"
Payment & settlement details
Raw on-chain settlement parameters. AXON above handles these automatically through quote / test-buy / governed fetch.
Price & network
Trust & risk
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